Today’s newfound love for data science is ranked as one of the hottest job on offer in the coming years. Have you always wanted to pursue a career in data science? Then keep on reading, because in this article we provide you ten steps in becoming a data scientist.
Skill development in Statistics
Becoming a data scientist means that you have to be someone who is better at statistics than any other software engineer and better at software engineering that any statistician. This means that you should have the right balans.
Learn to work with Big data
Data scientist need to handle enormous amounts of big data and non-organised data on which regular analyses can’t be performed. You not only need to learn how to analyse and organise big data but you also need programming skills in order to do that. However, there are many courses online which you can follow for free and to gain those skills.
As already said above you need to have programming skills in order to analyse the data, in short you need to learn the language of coding. To bea a great data scientist you need to be a good coder, so it is time to start to learn python or R, and to learn SQL databases.
Next to coding, and analysing big data, it is also important that you can transform those data in nice and neat visualisations in order to keep a presentation easy to follow. This set of skills are also very important and there are different ways to visualize data such as dashboard tools, ggplot and other tools that help you to visualise it.
Last but not least, you need to be a great communicator. More often than you might expect, you are presenting or explaining the findings of your data analysis to people who are not familiar with programming and statistical knowledge. Therefore, it is very important that you are capable of explaining your findings in easy and not difficult words.
We hope this list of skills will help you take off on your data scientist ambitions. If you are looking for a work from home data entry jobs please visit the website of only remote jobs.