Have you ever thought about a given problem, or just a situation in your school, company, workplace or household; and feel that you could get valuable information if you just knew how exactly 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, and you 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, just usually with larger amounts of data, and data science is one of the trendiest, hottest, and overall most in demand tech jobs and sought after skills right now. And how couldn’t it? We live in the age of data, and being able to not only making questions out of data, but getting insights out of it is one of the most valuable skills.
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, or where she/he is working at. What is true, is that with the internet, we can expect the amounts of data, and the availability of it, 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 many tools, techniques and the internet; have made it more effective and accurate to work with data.
Why is learning how to work with data 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, to make conscious decisions on many things, 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, though. Because jobs in tech just keep 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 into 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 wanting to get into 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, as newcomers, or even if we already have some experience in one or more of the skills that we need to work with real world data, it’s very important to begin sooner than later to work on actual projects, not so big, but that 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, and 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.
However, what makes us so appealing for many students around Europe and the world, is that we really have a mission of providing our students with a curriculum that offers the real skills and technologies companies need, and 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, and 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, and if we 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, and we are also one of the fewer bootcamps offering a complete full-time data analytics program based on four exciting real world data analysis projects, aimed 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, and never feel the pressure of being judged or receiving a bad grade. In five months, you’ll learn how to predict profitability, perform deep analytics and visualization, do web mining and apply your knowledge into an analysis of your own.
Change your life by learning how to work with data
Learning can really change everything for the better, and this is especially true when what we learn is something we like, and that fill our lives with new opportunities, as well as providing good for others.
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 has proven to be something of great value for many who decided to go 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, and one of those is being able to provide value to yourself and to the world by learning valuable skills on your own, by making exciting projects.
Finally, we all have many passions and interests in our lives, for example, we might like music a lot, or sports; and 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!