Big Data course in Barcelona: everything you need to know

If you are looking for different options to become an expert in Big Data in Barcelona, keep on reading because this post is for you. Big Data Analysis is a relatively new discipline that day by day more and more industries and businesses include in their activities. Training and education are important in one’s CV but where they obtained can also be crucial. This is the reason why, if you are considering broadening your professional profile you should not only consider taking up some training in this area but also choose a Big Data course in Barcelona.

Learn more about the advantages that signing up for a Big Data course in Barcelona will bring to your career.

A brand new world to explore

In the last decades we have witnessed a fast evolution of technologies, especially those regarding digital environments, that speeds up day by day. We have only began to see its potential. Considering this it seems obvious that one of the challenges any business and industry has to face nowadays is how to face and take the most advantage out of processing and handling this massive volumes of data. In order to success doing so it’s necessary to use digital tools that contribute to interpreting and obtaining results from these data. Big Data analysis nowadays makes it possible to find biological patterns for medical research, optimizing industrial processes or customizing content for VOD platform users. As you can see, Big Data is everywhere! Its uses and applications are virtually endless and expanding even more day by day. This is the reason why it is hard if not impossible to determine and specify the uses of Big Data since we still don’t know yet if there are even limits for them

A Big Data Course, the best complement for your CV

Keeping in mind the importance this field has nowadays, which has not yet shown any signs of stopping its growth, it’s clear that taking up a Big Data course is the best way to give your CV that extra boost. This kind of training is sought-after by employers in today’s job market, each day increasing its worth. It doesn’t matter what professional field you are coming from or whether you went to college: Big Data is for everyone. Adding a Big Data course in Barcelona to your CV will make you a much more versatile professional while also showing your potential employers your open mindedness and variety of interests. This is especially true when the Big Data course is carried out engaging in the real-world dynamics of the sector. At Ubiqum we are aware of how the environment any training or education can affect the contents studied. For this same reason we decided to choose as the locations for our courses Capital cities around Europe that have a special relevance in the tech industry and Barcelona is one of these great cities. At Ubiqum we believe that our Big Data course in Barcelona is thought so as to make the most of its privileged location.

From Barcelona to the world

The location that we chose for our Big Data course in Barcelona is not random, in fact we put a lot of thought in the decision. Carrying out our training in Barcelona brings great opportunities and benefits to our students. Among said pro points it is important to mention how it ables them to meet professionals from this sector and engage in real world work dynamics from the very first moment. Our Big Data course in Barcelona takes place in a coworking space, located in the Sant Antoni area. These facilities not only do bring the best comfort and functionality to our students but also contribute to create an open environment that makes easier for them the process of networking with potential employers and collaborators.

At Ubiqum we always put your future first. If you are interested in our Big Data course in Barcelona do not hesitate in contacting us to address any doubts or concerns. We are always excited to welcome new people at our Coding Academy!

 

 

Why should you consider learning Java through a part-time course?

Although you have quite a career in your field, why is it still hard for you to find clients or better job opportunities? To find an answer we should look back to the sudden changes our world has undergone lately. The technological progress of the last years has a lot to do with this.

Maybe you will have to accept that your current skills are not enough anymore to have a successful career. If this were the case, it’s time to make a drastic change in your professional activity.  How can you do so? The answer is easy: learn Java through a part-time coding course.

Why should you become a Java programmer?

The reasons to take up Java coding are many. In the following lines we will state some of the benefits of taking up a part-time Java coding course:

Benefits of learning Java

What are some of the advantages you will enjoy if you decide to specialize in coding with Java? Let’s see.

Virtually endless possibilities

Java counts with the widest programmer community of the world. Likewise, the incorporation of new frameworks and libraries allow it to adapt to a tech sector under constant change.

Certainly, Android is the operative system with more users worldwide. Towards the end of 2018, more than 2,000 million of cellphones used it. By the same time, there were more than 3 million apps on the PlayStore. But, what does this have to do with Java? Well, it happens to be that Java is one of the preferred languages used for app development, as well as for some key elements of the Google system itself.

Most of the computers, mobile devices and gaming consoles do have a Java platform, which allows them to execute a great amount of apps and websites. The software created using Java is especially remarkable for its stability, speed, scalability, flexibility and great ease to undergo maintenance and modifications.

Java gives you the opportunity of producing practically any kind of coding program. It doesn’t matter whether web development or the creation of a dashboard app, an internet portal or a service online, a videogame, an operative system or the coding for a robot. This language is powerful and versatile enough to successfully complete whatever the project may be.

The demand of Java programmers is on the rise

There are no signs this Java boom is going to come to an end soon. More like quite the opposite: the demand of Java programmers is on the rise. And their income is not one to be sniffed at. A clear example would be their situation in USA and Europe: there, these professionals earn an average of 70,000€ per year.

To help you get a clearer insight of the importance of Java, you must keep in mind that companies such as Amazon, YouTube, Twitter, Netflix and even Google itself are always looking for skillful Java programmers. Therefore, if you become proficient in Java, your possibilities of getting a steady job position or a long term project collaboration and (why not?) maybe start working for one of the great companies aforementioned, will increase exponentially.

Gaining coding skills in Java can positively impact your professional development

Linguists assure that learning new languages opens your mind and helps you broaden your perspectives. This does also apply to coding.

Learning such a solid language as Java trains you to look for practical solutions to any problem that you may face in your professional life. Moreover, you will learn to work under pressure, a very valuable skill in today’s hectic job environments.

A good developer never stops updating. Therefore it is very advisable to learn different coding languages. However, many experts consider Java as the ideal start point, the primary language that will provide you the appropriate basics to go on and take up also HTML, CSS, JavaScript and many more.

Ubiqum’s plan to keep students busy

Do you want to learn to code, but your schedule is too tight already? Would you like to use your free time, holidays and/or weekends to gain this skill? Are you a freelancer or a part-time worker looking for a job as programmer? Then Ubiqum’s part-time course is just what you need to achieve your goal.

What is the Java course about?

This flexible plan will allow you to juggle your job or other activities with your         studies. It’s a unique opportunity for those people whom, for whatever reasons it may be, can’t take on-site daily 8 hour long classes throughout 5 months at our Ubiqum bootcamp. The ideal solution anyone willing to begin their journey in the thrilling world of coding and, as soon as possible, find a job position within the tech industry.

The program lasts between 18 and 20 hours, distributed throughout 10 weeks. 8 hours are for on-site learning (inside the classroom) of theoretical contents. The rest of them you can do them either at home or at the office choosing the schedule and hours that suit you best.

The goal of the part-time coding course is to teach the essential notions for front-end development. In other words, we want to teach you how to design the visible elements, aesthetics and navigability of a site or any other software. Moreover, this course will introduce you to more advanced concepts such as back-end development, meaning the code that directly affects the performance of a portal or app.

The program is designed so as to able students to learn in a natural and easy way. You will be assigned projects that are very similar to those you will find in the real worlds job positions. These projects you will have to develop from top to bottom. With your mentor’s support and a wide range of practical study materials, you will start writing code from your very first session.

Benefits of learning Java coding at Ubiqum

Sign up for this course to get the experience, skills and confidence you need to join one of the most competitive and demanding job markets. During the course at Ubiqum, you will meet very talented people with aspirations similar to yours and… Who knows? Maybe there you will be able to meet your future business partner. It’s obvious that learning Java is what you need to give your professional career that last push. Enroll in our program and join the ranks of programmers, one of the best jobs there are on Earth

 

Data Analytics or how to become a big data analyst

Every day the amount and variety of industries that use big data analysis to develop their activity increases more and more. Digital and web environments are going through a booming moment: the importance of these technologies and their applications is increasing continuously.

This is one of the reason why big data analysis is becoming an essential tool from every industry. Big data analysis is a field that is also in constant change due to the rapid technological progress that affects its inner dynamics and processes but also its applications and uses. At Ubiqum we are a coding and Big Data academy. With our different courses where you will be able to get all the training and education necessary to become a proficient big data analyst, learning everything about the possible applications of this field, such as machine learning. Sign up to our Data Analytics and Machine Learning program and update your professional profile to the digital era requirements: become the professional every company is looking for.

First things first

Big data analysis is a field which deals with processing enormous volumes of preexisting data, that before being manipulated had no apparent consistency due to their various origins, type, and units used to express them. The quick progress and evolution that computing and information technologies had had in the last decades has made it possible to process these massive amounts of data so as to obtain as an output information that will prove revealing and consistent. At our Big Data academy you will be able to learn how to do so from the best professionals of the field.

So… what do we do with such big data?

The applications and uses of big data analysis are almost endless. Since it is such a recent and unexplored research field that has just now begun to blossom, it is no easy to determine and limit the constraints of this professional sector: day by day, the frontiers within where professional big data analysts develop they’re activity, broaden more and more. If you enroll our Data Analytics and Machine Learning program at Ubiqum you will learn from the most experienced professionals of the big data analysis field. Also, since you will be engaging with our “learn doing” methodology, you will be able to experience for yourself the broad range of applications that big data analysis has. In our Data Analytics and Machine Learning program’s syllabus you will find four projects of different backgrounds and contexts that you will have to develop. Through this process you will become aware of the many applications that can be given to big data analysis and machine learning: from marketing to medicine, no industry can do without big data analysis anymore.

At Ubiqum we have realized the booming moment the big data analysis is living at this very moment. Also, we have come to understand that a solid education and a quality training in the big data analysis and machine learning fields, such as the ones we offer in our Data Analytics and Machine Learning program, can help any professional, whatever their background may be, not only complement their professional profile but also increase and improve the technical tools and skills they count with when carrying out their research projects. If you are looking for a course that will provide you the training and knowledge you need in big data analysis, do not hesitate in contacting us and telling us everything about your personal case and profile. With Ubiqum’s Data Analytics and Machine Learning program you will get the education, training and quality resultsyou were looking for.

 

 

How learning data analytics can change your life

Boost your career by learning data analytics. Have you ever thought about a given problem, or just a situation in your school, company, workplace or household, etc… and felt that you could get valuable information if you just knew how to properly work with the data you have?

Maybe you didn’t think about it in terms of data, but it’s a place many people have been at, of not knowing the tools required to get real insights.

For instance, let’s say you are taking a programming course, and you notice many of your classmates struggling. You also have access to the curriculum, the grades from many years ago until now, and the teachers. And you would like to find a way of improving future programming students’ grades.

This is what a data scientist/analyst does. Usually with larger amounts of data. Data science is one of the trendiest, hottest, and overall most in demand tech jobs and sought-after skills right now. And why shouldn’t it? After all, we live in the age of data. Being able to not only make questions out of data, but getting insights out of it is one of the most valuable skills nowadays.

The importance of data in our current lives

Probably, in the last five (5) years we’ve heard and read the word data more than ever before in history. Maybe this is a generalization, one that only our data analyst/scientist friends could confirm or deny, thanks to their capacity to work with data.

Data is more than a buzzword in our current world. Code and programming have become increasingly popular, and more and more people are looking to get tech skills, either to get a great job in tech, or to better understand how the technology we love use.

Just the way programming is now highly valuable, or rather, it’s more accessible; the technical knowledge to work with data is also fundamental in today’s world and economy. But, why is this data so valuable? Data is not necessarily valuable on its own, depending on what we want to know, and this what a Data analyst does, to interpret such data, and get actual value.

And where does this data come from? Just about anywhere, but more specifically, it depends on what the data analyst is working on and where. What is true is that with the Internet, we can expect the amounts of data, their availability of these, to be larger than ever before.

It is not that data didn’t exist before, or that it was very tiny. Statisticians have been dealing with large datasets for years. What makes it different now, is that technological progress has made it more effective and accurate to work with data.

Why is learning data analytics a game changer?

The most successful companies in the world have been leveraging the knowledge of people able to work with data for many years now. This helps them to making conscious decisions on many things. For example, whether it is how to sell more, or how to give more accurate recommendations clients will love.

Of course, it’s not all about profit, because data analysis is also a fundamental part to make cities better, improve the quality of life of a population, and overall, being able to turn bare numbers (data), into actual results (the insights from a data analyst).

The benefits of learning the skills to become a data analyst/scientist are many more. Since the job market in the tech sector keeps growing, the salaries are usually very high, the job satisfaction is very rewarding, and overall, the demand for people with tech skills keeps growing.

Jobs involving working with data are mostly in the tech side, however, data analysts are not necessarily required to have advanced knowledge on math and statistics, or to be computer scientists. Data analysts are comfortable using tech to do the job, and they can learn new skills as needed.

However, considering making a career change by learning data analytics/science might seem scary at first, even if you like it and are motivated. Luckily learning the right skills in a good academy makes it easy, and you’ll be able to successfully switch careers very soon.

Whether you are looking to find a job on data analytics/science, you want to learn how to use data to increase the possibilities of your company, or you just want to have powerful skills that will help you whatever you do; learning how to work with data will give you the tools to make better informed decisions, and to get greater results.

What is the best way to learn the skills to work as a data analyst?

One of the biggest obstacles for those really keen on learning data analytics and learning how to do great things with the power of data, is to understand what you really need to know to get started, how to apply it, and most importantly, how to learn those at all.

The reason for this turning so many people down, is the overwhelming amount of skills you need to learn according to websites, articles or videos. Usually, it would look like this:

  • Working with spreadsheets
  • Programming (Python, R)
  • Working with Databases and SQL
  • Math and Statistics
  • Basics of Machine Learning

It’s not that these skills are not accurate, since these, as well as most specific software such as Rapid Miner, ggplot2 or AWS, to name a few; are very useful and important in the work of professional data analysts.

The biggest problem is that sometimes it seems that one should learn these skills all at once before applying them at all into a real world project. And this is not exactly the case, as we can start applying these exciting skills as we dive deeper into our new and exciting career path.

This is why it’s very important to begin sooner than later to work on actual projects. This project doesn’t have to be big. It doesn’t matter whether we are newcomers or  have some experience any of the skills that we need to work with real world data. The point is that the project actually keep us excited and motivated, and allow us to learn these new skills as we go.

Thanks to the internet, there are many learning resources we can use, many of them free, and others at very accessible prices. However, at Ubiqum, we strive for offering you just the best education, with courses, you can receive to become a data analyst, with a 5 months curriculum, no classes, no exams, no grading.

Why learning data analytics in Ubiqum?

You may have already heard about coding and data analysis bootcamps. If you have looked for different programs around the world, you might have found some more appealing than others. And also some of them much more expensive than others.

We know the reason that makes us so appealing for many students around Europe and the world. The key factor is that we really have a mission of providing our students with a curriculum that offers the real skills and technologies companies need. And we accomplish it by teaching them on a completely practical and modern approach.

It’s not a secret that traditional education is still far from ideal in most countries. Even if the value of a degree is still high and relevant, not everybody learns the same way. But we all learn if we are motivated the right way. Also, it’s important to have access to mentors, who are motivated, knowledgeable, and willing to help us to boost our skills.

This is the route we’ve strived for. We are also one of the fewer bootcamps offering a complete full-time data analytics program. It is based on four exciting real world data analysis projects. These aim to make you think as a data analyst who is able to provide valuable insights from data.

Learn the techniques, the tools, the skills, ask for help, make amazing things with data. All of this without ever feeling judged nor getting bad grades. In five months, you’ll learn how to predict profitability, perform deep analytics and visualization, do web mining . You’ll be able to apply your knowledge into an analysis of your own.

Change your life by learning data analytics

Learning can really change everything for the better. This is especially true when what we learn is something we like, and that fill our lives with new opportunities.

Many things fall into this category, since it greatly depends on our passions and interest. But data and the skills to effectively work with it as a data analyst/scientist have proven to be something of great value for many of those who followed the data path.

The positive things about becoming a data analyst are of course many, and divided into different categories. First of all, we have many job opportunities, as well as new ways of generating good profit by understanding how markets work with the help of data.

But also other maybe subtler benefits come with learning how to work with data. One of those is being able to provide value to yourself and to the world. You’ll be able to learn valuable skills on your own and also do exciting projects.

We all have many passions and interests in our lives. For example, we might like music a lot, or sports. Data analytics is not something incompatible with your passions, but exactly the opposite. Leverage the power of data to get valuable insights from those things that inspire and motivate you!

What kind of company culture are Developers and Data Analysts looking for?

The term ‘Company culture’ might seem to some as a concept invented by millennials as a way to get out of doing hard work and essentially playing video games and making smoothies all day. And though many games of FIFA will be played and many cold-pressed juices drunk, in no way are those who work in places such as Google and Microsoft — or any other place known for its great company culture — sitting around twiddling their thumbs all day.

In fact, these companies, with their flexitime, their free fruit and drink and their yoga, have a far greater rate of innovation and productivity than those companies operating under traditional ideas of what an office working environment should consist of. They’ve worked out what kind of environment stimulates innovation and they’re maximising on that — and here’s a clue, being tied to a desk for 8 hours straight is not it.

data analytics course

For the purposes of this article, we’re going to refer specifically to the type of company culture that attracts Developers and Data Analysts as these are the most in-demand profiles for at least the next decade. However, this is no doubt applicable to a number of sectors and is included in a number of workers’ preferences in a wide variety of jobs. The advantage that Software Developers, Programmers, Web Designers and Data Analysts have is that they are in high demand and competition among companies is very high.

In fact, there are 350,000 unfilled jobs in Spain due to the lack of sufficiently trained candidates in digital skills and it is estimated that in 2020 Europe will need 8 million professionals in Big Data, of which it is believed that 1 million will be left unfilled due to a lack of candidates.

It is therefore the case that companies are having to up their game and offer a package that beats that of the competition, which is great news for those working in the IT and technology sector, and we can only hope that this filters down to improve the working conditions of workers in all areas.

data analytics course

It’s no secret that everyone would love to work in an environment that values its workers, gives them the freedom to work when and where they like (within reason) and adequately compensate them with perks, bonuses and a decent annual salary. Luckily for Developers and Analysts, who have Silicon Valley as a reference point, this is more of a reality than for some.

So what exactly do Web Developers and Data Analysts look for when applying to companies?

As the name implies, Developers come from a breed of workers who not only need to be constantly learning and improving their skills in order to stay up with the times, they are also keen to get ahead of them and work in technologically impactful projects. BuiltIn.com states: “Aside from the general satisfaction associated with meaningful work, contributing to such innovative projects [in companies such as Google and Facebook] helps Developers build an impressive resume and advance their future career prospects.”

Stack Overflow, where over 50 million Developers go every month to learn, share their knowledge and build their careers, have conducted the world’s largest and most comprehensive Developer survey. It had over 64,000 respondents from 213 countries and territories and covers everything from salaries to programming languages. So, when assessing potential jobs, what do Developers look for?

Professional development is, of course, at the top of the list, with the compensation and benefits offered, the office environment, and the technologies/languages they’d be working with, coming close behind.Aside from their salary, what most Developers valued in terms of benefits were days off and remote options.

We spoke to a couple of students who are about to graduate from Ubiqum’s Data Analytics program. They agreed that a good company culture was essential and meant a “young, dynamic company where [they] can continue to learn”. They went on to say that they look for a place “where you have a voice and a variety of interesting datasets to work with.”

Stephanie, who is coming to the end of the Java Web Developer course is currently looking for a job. She says: “As a Junior, what I look for is a place where I can develop professionally through additional training and interesting projects. Long term, I’d be more attracted by a better salary and the opportunity to work in different offices, with a range of creative atmospheres and people.”

And what about those who are currently working as Developers? How satisfied are they and why?

LinkedIn conducted a survey of 300 Web Developers and found that 88% of Web Developers are satisfied with their career for the following reasons:

  • Work life balance — they can work from home, or wherever suits them
  • Job flexibility — they can work at hours that suit them and control what projects they accept (even as full-time employees, not freelancers)
  • Pay and benefits — they are paid well for doing interesting work
  • Job location — technology companies tend to be well located, in vibrant cities or ‘tech cities’
  • Opportunity to grow — they can see qualitative growth in their work
  • Work environment — they are not ‘tied to a desk all day’. The environments are more dynamic
  • Co-workers — they work with intelligent, creative, like-minded people who they can learn from

Listed in order of most popular reason at the top, a huge 61% of Developers said that for them, the balance between work and home life or leisure time was what contributed most to their overall job satisfaction, with job flexibility coming close behind with 52% of those surveyed noting this as a key factor. This flexibility and relaxed company culture seems to be a defining factor when it comes to tech companies. This model follows examples like Google, Facebook and LinkedIn. These companies offer amazing opportunities and perks such as 20% time for innovation projects, medical insurance, gym membership, free food and drink and travel opportunities, amongst other things.

data analysis course

In conclusion, what IT and technology companies need is a company culture that supports and stimulates innovation. Working in such a fast pace, ever-evolving sector, they have no choice if they want to survive. For this, they need talented, well trained Developers and Analysts to help them realise their goals for expansion. How to attract such a profile? Offer a package that will assist them in their professional development (constant training, interesting work and colleagues). Also, compensate them with a decent salary and a flexible work schedule — 9–5s. Clocking in and out and fixed desks are not conducive to an innovative environment or a satisfied workforce.

What does a data analyst do and how can I become one?

Data analysis skills are becoming more and more in-demand. Everyone is talking about big data, machine learning and data mining. Interested to hear what kind of projects a data analyst works on? In this article, one of our Data mentors, Violeta Mezeklieva, uses the example of product analysis to give you a glimpse into the life of a data analyst.

Imagine you are working for a data consultancy firm. You have an appointment with a company who’s interested in getting to know their clients better in light of a recent decline in product purchases. They have no idea why, so have brought you in to shed some light on the situation by looking at the data.

They have been collecting data for the past three years and have been doing their analysis in Excel spreadsheets. However, recently, they have been reading about data analytics, big data, AI, and machine learning and think it’s a good idea to modernise their business efforts. Up until now, they’ve always considered this as only worthwhile for very well-established, corporate companies — mainly for the big five. However, they have been going to conferences and events promoting data analytics and have met other companies who are starting to use data to steer their business strategy. They are thus convinced that they should invest time and money into exploring how their business can benefit from data analytics. This is where you come in.

As a data analyst, you are pleased to hear that more companies are going in this direction because you love the impact good analysis has on business strategy, and this means more interesting opportunities for you. Extracting valuable insights from data is what you do best, so you accept the challenge and start as a consultant for the firm.

The company holds the assumption that they should carry out customer segmentation based on age, as defined by the Marketing team. “We have millennials, young parents, baby-boomers, and seniors,” they tell you. They think this is the right approach as this matches their competitor’s strategy. However, they are curious as to whether they can find a niche in the market by studying the data they have been gathering and so want you to conduct an analysis from scratch and see if there are hidden patterns to be found.They want to visualise their customers based on their purchasing habits and have this mapped out.

data analytics course

Luckily, this is not your first time carrying out data analysis of this nature as you worked on product analysis whilst on Ubiqum’s Data Analytics course.You therefore know that the best method is to adopt the machine learning approach of cluster analysis.

What makes clustering so special? Well, it solves the exact problem this company has; Instead of conditioning the customers based on their age, this machine learning algorithm will find what characteristics — what customer habits — are unique in order to define a group and form an identity. These groups can be further analysed to find peculiarities within, perhaps leading you to discovering something new. Maybe you will even have to tell this company that they should consider manufacturing products that are sourced locally because their customers prefer supporting the local economy.

At Ubiqum, we don’t simply teach you how to code, we guide you to acquire skills relevant to Business Data Analytics.

  • We train you to evaluate the business questions future clients or bosses will pose to you.
  • We make you question the data at your disposal and evaluate whether it is useful for your analysis or not — because not all data is useful or even usable.
  • Just like in a real work situation, you will present your findings to colleagues and have to defend the recommendations you make based on what you’ve extracted from your analysis.

data analyst

Ubiqum’s Data Analytics & Machine Learning program is not easy. You will spend five months working from Monday to Friday,  on a 9–5 schedule, building your portfolio through specific projects in order to land a career in one of the most in-demand fields right now: data analytics.

On the program, you will learn how to apply methods of data analytics to predict buying trends for an online retailer, learn about data mining using R and Python, and develop advanced visualisation techniques to make your data sets both intuitive and beautiful.

In the next article on data analysis, we’ll be taking a closer look at machine learning and algorithms, so keep your eyes peeled by following the blog!

The data analytics tools to learn if you want to stay ahead of the curve in business

Without a doubt, the technology sector is evolving and advancing at a rapid pace, making the current job market an increasingly challenging environment to compete in. With the emergence of new, highly advanced technological tools, the market requires professionals with the skills and experience to resolve complex business problems. This is where professionals in data analytics come in.

Businesses all over the world are using data analytics to drive their business strategy. In this article, we’re going to highlight the tools to learn if you want to stay ahead of the curve in business and propel your career exponentially.

data analytics course

SQL

SQL means Structured Query Language, which is a programming language used to store, retrieve, and manipulate information in a relational database. There can be more than one relational database, and all of them are stored in an even larger database called a data warehouse.

In a relational database, there is often more than one type of category of data, for example, a student’s name or address, therefore it needs to be organised and structured. This means that the data is represented in tables of rows containing different “objects” and columns containing various “features” that are clearly defined.

data analytics course

For example, if the DVD rental business wanted to know which customers paid more than 40 times for a movie, they could do that directly through a query instead of going through downloading data, processing it on excel or R, etc… Therefore, it is very agile to access and retrieve this information using SQL.

SELECT first_name, last_name

FROM customer

WHERE customer_id IN

(SELECT COUNT(payment_id)

FROM payment

GROUP BY customer_id

HAVING COUNT (payment_id) > 40);

Scripting with R, Python, or creating pipelines with RapidMiner

When executing tasks in data analytics, the need for automating the process is required instead of an operator manually completing each task individually as this is much more efficient. In order to do this, the method of scripting is implemented, meaning that programs written in scripting languages such as R or Python are used to carry out multiple tasks in run-time environments. Alternatively, you can use data science platforms such as RapidMiner, which does much of the work for you without the need for scripting or coding.

What is R?

R is a statistical programming language combined with free software for analytics and graphics, making it the sovereign of all scripting languages and an extremely powerful tool within the field of data analytics. It creates an environment in which a wide variety of statistical techniques can be implemented and presented.

“R has extensive and powerful graphics abilities, that are tightly linked with its analytic abilities.” J H Maindonald writes in his book, Using R for Data Analysis and Graphics

What is Python?

Python is a free and open source, lightweight, multi-model, general-purpose programming language. It’s renowned for its universality and is considered by many to be the second best programming language as it is extremely adaptive for any domain, leading to major companies like Google using it in their central applications.

What is particularly refreshing about Python is that although it’s notoriously difficult to get started with, because it’s not domain specific it attracts a wider and diverse audience. This then creates an even vaster…and friendlier network of people to call upon in times of need.

data analytics

What is RapidMiner?

Unlike R and Python, RapidMiner is not a programming language and therefore does not serve the function of scripting, rather it is an all inclusive data science platform. You can use it throughout the whole data analytics process; from data preparation to machine learning, deep learning to text mining, predictive model deployment to visualisation.

RapidMiner almost eliminates all need for any coding because of its system of readymade templates for each process. The RapidMiner frameworks can be used to create analytical workflows with multiple “operators,” similar to a chain reaction, and can be extended using R and Python scripts. With its inbuilt structures and easy usability, RapidMiner is an extremely beneficial platform for a data analyst that can be used throughout each step of the data analytics cycle.

Machine Learning

It seems that big data just keeps on getting bigger, meaning that data analysts need to somehow come up with a way to analyse it all… which is where machine learning comes into play.

Machine learning is a branch of artificial intelligence and a method of data analysis used to devise complex algorithms to automate the process of building analytical models. It uses data to identify patterns and learn from them in order to make decisions and forecast future trends in a more sophisticated way. Ideally, the more data that is provided, the more the machine can learn and therefore the more accurate and insightful forecasts it can make.

Unfortunately, this is not always the case, as a major component to be considered when modelling, and the primary limitation of machine learning, is data bias. There is always a risk of bias when modelling, especially when considering what you want to predict. A good example of this would be Amazon’s secret AI recruiting tool being scrapped due to it showing bias against women. This was simply due to the fact that the model was trained to observe data from patterns of resumes submitted in the last 10 years, all of which turned out to be from predominantly male applicants.

Big data analytics can be applied to any industry with huge amounts of data. For example, the healthcare system could drastically improve its patient care and potentially diagnose diseases through machine learning by gaining insights from correlations between medical protocols, medicine, patient symptoms, and outcomes.

Data Visualisation with Power BI

Data visualisation is the process of presenting and illustrating data clearly and interactively with the intention of helping people understand the implications of analytical findings, which might not be possible without seeing visually.

What is Power BI?

Power Business Intelligence is a free suite of analytics software created by Microsoft that provides data analysts the ability to create interactive visualisations with self-service business intelligence capabilities. The interface’s resemblance to Excel gives users an intuitive navigation and its extreme robustness allows you to create unique and personalised dashboards that completely encompass and reflect business objectives.

Some features of the software include the ability to aggregate data from hundreds of up-to-date and reliable sources, giving you access to deep and accurate insights easily. It simplifies the data preparation portion in order for you to analyse data swiftly and systematically. AND most importantly, its interactive visualisation tool allows you to create beautiful reports that communicate your results effectively and then publishes them online for all to see.

So… are you keen to learn more about these widely used data analytics tools?

At Ubiqum, we train students to become data analysts. Our Data Analytics & Machine Learning course covers the tools you need to advance your career and stay ahead of the curve in business. If you’re interested and want to know more, then contact us at hello@ubiqum.com and we’ll be happy to answer any questions!

Student Spotlight: A Deep Dive into Data Analytics with Neus Montserrat

This interview about data analytics was conducted by Erica Freedman, Content Specialist at SwitchUp.

SwitchUp sat down with Neus Montserrat, an alumni of Ubiqum Code Academy to discuss data and analytics. Neus has always worked with data, but found that her educational background wasn’t paving the career path she truly wanted. With degrees in Business Management and Research and Marketing, she wanted to further develop her data skill sets and enter the world of Business Analysis. In search of a full-time program, she found the Ubiqum Code Academy Data Analyst, Machine Learning and Big Data program, and was able to fully immerse herself in project-based learning. After extensive training and career support, Ubiqum helped Neus land a job where she feels like a key decision maker and integral part of the team. Read more about her journey below:

What is your educational background in and how did you decide to attend Ubiqum Code Academy’s data program?

I studied Business Management at Pompeu Fabra University (Barcelona) and Research and Marketing Techniques at Universitat Oberta de Catalunya (online).

I was working as a Project Manager and Analyst in a marketing agency when I found out about Ubiqum’s bootcamps. What I liked most about the program was the “Learn by Doing” methodology, the topics looked at on the program and the tools that you learn to use, which all focused on preparing the student to be hired and making them highly employable.

I had an interview with the bootcamp Director, Sebastián Barajas, to see if it could be the right course for me. After the interview I was totally convinced that it was the professional change I was looking for and decided to quit my job so that I could start the course and find a new job related to data analysis.

 

Do you feel your original background and data analysis are related? If so, how?

Yes, they are.

In my previous jobs I had always worked with data: financial data, marketing campaign data, sales data… However, I had never used any kind of specific tool or algorithm to analyse it, instead, I used Excel to do my analysis. I have always been involved in projects that required data analysis but I didn’t have the knowledge to do with the right tools, and therefore efficiently.

My previous experience in marketing and business helped me a lot. In data analysis you first need to formulate the business questions, then analyse the data to get insights and finally go back to the question with a non-technical response (most of the time), so I was quite good at that!

How did you decide to attend Ubiqum? What made it the right program for you?

I was looking for a full-time program (9 to 5) with a focus on working on real business cases, not only equipping you with the technical skills but also putting you in real scenarios as a Data Analyst. We did a lot of role playing, worked on our presentation skills, learned the importance of storytelling when doing presentations and how to take a business question, gather insights from data and return with a business recommendation based on our findings.

I liked the fact that other students came from different backgrounds (engineering, physics, sales…) as this enriched my experience; I could see different ways to approach the same dataset or problem through the many perspectives my colleagues offered.

big data course

You currently work as a Business Analyst at Sogeti and give service to HP. What does this title mean and what does a normal day at work look like for you?

I’m working on a project for HP large format printing in the Customer Success team. It means working with very different kinds of data in order to provide useful reports to, for instance, the Account Managers, so they can help their customers to understand how they are performing with their printers.

Some of the data projects I’ve worked on:

I’ve been testing different tools that apply natural language processing and sentiment analysis to customer feedback to choose the best option and implement it in HP.

I’ve created dashboards in Power BI, automatised analysis with R scripts, and created reports containing metrics related to efficiency. I’ve also done a revenue and profitability analysis for some of our customers and predicted future profitability.

Have you faced any challenges trying to become a professional in data analytics?

For a profile like mine, one of the main challenges has been to learn to program in R. My mind was not used to working with code so this was the part I had to dedicate most of my time to.

Has Ubiqum helped you to get a job as a Data Analyst? If so, how?

We had several sessions related to job placement. Every week, we worked on improving our CVs or would practise interview techniques, like working on the elevator pitch. Their career counselling process is very useful for people who feel insecure about the interview process, because you can share experiences between colleagues and become more confident.

data analytics course

Where do you see your career heading in the next 5–10 years?

I will continue studying on my own and learning about what the market needs. I plan to specialise in Big Data or become a Data Scientist.

What makes you most passionate about the world of data analysis?

I have been fortunate enough to enter a newly created department and the need for data is very large, so any insight we can contribute is used and serves as a great decision maker. You feel that you are a key part of the team and are involved in many of the important decisions.

If you could go back and give yourself one piece of advice before pursuing this career track, what would it be?

Maybe not to wait so long in deciding whether to start the course at Ubiqum Code Academy, since it was a very good decision and it allowed me to make the professional change I was looking for.

Want to learn what other alumni have said about our Data Analytics program? 

Looking for Junior Developers and/or Data Analysts? Join us at our Hiring Day!

If you are looking for a data analyst, keep on reading! We’re inviting companies from the IT and technology sector to attend our event. There they’ll meet 50 Data Analysts and Web Developers who’ve just completed one of our coding bootcamps. Companies will have the opportunity to network with these potential candidates as well as with the other companies who attend the event. Ultimately they’ll be able to do what they came to do. The point of the event is to conduct interviews with a number of interesting candidates and fill their vacancies.

We only have 10 open slots for companies, so make sure yours is one of them by emailing: jobplacement@ubiqum.com

data analyst

What to expect from the event of a web developer or a data analyst?

During the event you will have the opportunity to meet 50 students with different backgrounds and degree of seniority. Since they have all just graduated from one of our immersive 5 month long courses they sure do have the training. All 50 are qualified and ready to fill positions as Java Developers, Full-Stack and Front-end Developers and Data Analysts.

Throughout over 800 hours of practical “learn by doing” training so as to become data analyts or web developers, the students have acquired highly solicited, specific technical skills and done a vast amount of work with the universal programming language of Java.

Under our methodology, students take on the role of Developer or Analyst from day one. Hence, they report to their mentors, who are treated as Senior Developers. The environment they work in is one very similar to the type of workplace they’ll end up in. In turn, this motivates the students and promotes productive, proactive and autonomous work.

Unlike those that students can learn in master’s or bachelor’s degrees, the skills they practice here at Ubiqum Code Academy are 100% transferable to the workplace.

data analyst

What kind of companies are we looking for?

At our Hiring Day we will have 10 companies that are actively seeking Junior/Mid-level Data Analysts, Junior Java Developers, Full-Stack Developers and JavaScript Front-end Developers, and want to highlight their enterprise to our students and other companies in the IT sector.

As one of these companies, you will have the opportunity to present what you do and what you’re about. This will atract the top talent from our coding programs. After, you will be able to conduct individual interviews with candidates. Also, you will be able to take part in an intense networking session with all 50 of the candidates. At the event, the other companies will also do the same. We intend it to be a dynamic and fun, yet productive way, to source fresh talent and fill open positions in your company.

If this sounds like something you’d be interested in, please email us at jobplacement@ubiqum.com

What is Data Mining and Clustering?

Data analytics skills are becoming more and more in-demand. Everyone is talking about big data, machine learning and data mining, and what about ‘clustering’ or ‘clusters’, have you heard about this method in data analysis? In this article, one of our Data mentors, Violeta Mezeklieva, uses a very apt analogy to explain what clustering is and how it is used.

Imagine a friend of yours is getting married and asks you to help with the planning. You are going over the logistics and begin to discuss the dinner arrangements. What are the seating arrangements going to be? Your friend jumps in and suggests to group guests at one table by: family members, friends from school, the college gang, the friendly co-workers, friends from the hiking club… and so on. You let that sink in and notice an opportunity yet to be exploited.

Weddings can be challenging, especially when you invite friends and family who are going to be meeting each other for the first time. And breaking the ice is not that easy. Instead of grouping the guests based on how your friend knows them, how about mixing things up a little. A fun way to facilitate mingling would be to highlight the things the guests have in common — especially if they are meeting each other for the first time — and group them at the dinner table based on those commonalities.

In this ‘aha!’ moment you suggest to your friend that instead of classifying the guests based on a predefined condition, that machine learning should be used to gain insights into who should be seated at the same table. Your friend thinks this is a great idea and is intrigued to see what unites who.

How exciting! What you need to do now is create a questionnaire that the guests will complete before the wedding. The responses will then be used to run the perfect machine learning algorithm for this challenge: The cluster.

data mining

What the cluster will do is find commonalities between each guest — based on the responses given — until they are defined by what unites them. Therefore, each group is described by particularities that are not shared with others.

How many clusters should there be? A good starting point is to find out how many tables fit under the outdoor tent. If it only permits 15, the cluster will have to find what unites the members of each of the 15 groups. It’s possible that the groups are not all that different from one another if you split them by this number. In this case, you can reduce the amount of tables until you find that unique characteristic. You might discover after all, that the size of the table might be the problem. But that’s a problem for the carpenter.

By clustering, your friend was able to learn something that would have been dismissed if she had segmented the guests based on what she thought united them.

Awesome. Your friend loves it and you are full of ideas.

As you can see, at Ubiqum Code Academy we like to think outside the box and make seemingly complex concepts and technologies such as clustering and data mining manageable.

We also love role-play. One of your first assignments will be to work in the Data Department of an E-commerce. You will be collaborating with the Marketing and Sales Departments to extract valuable insights on your clients and present the suggested business strategy to your CEO. Up for the Business intelligence challenge?

Stay tuned for more on how you can apply your Data Analyst skills!

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