People all over the world are generating more and more data, every single day. Data is literally growing at an exponential rate- such that organizational data of certain companies has reached petabytes. Ninety percent of the world’s data has been created in the last two years alone. And so, people have started to analyze this data, but the problem isn’t the analysis. The problem is the management of data.
As per Gartner- “Big data is high-volume, high-velocity, and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making.”
The huge epidemic of big data, is often described using five Vs- Volume, Velocity, Variety, Veracity, and Value.
So, in case you are taken in by the buzz of big data and data-science, I suggest you look at the five resources listed below.
Datacamp is best for people with little or no experience in Python and R. It starts with the very basics and has a stepwise approach, where you are given one problem after another, in each of which there is one or more incomplete lines that you have to correct. It is a godsend for beginners and priced cheaply. It also gives discounts up to 60-70% every few months, on special occasions, so be on a lookout for that, in case you want to subscribe for a year and access the premium project and features. It has several tracks that you can master, which consist of some 20-30 courses each. Popular tracks include-
If you have less time, you can also do smaller courses like-
Coursera is one of the best platforms for learning anything from data-science to military-history and I have first-hand experience in some of the courses it offers. It offers a wide range of courses from the best colleges all over the world. You can choose to audit the courses and get access to the course materials for free, or you can pay a monthly subscription and finish the courses in your time and get a certificate from the college that’s taking the course. You can also apply for financial aid, that can amount to a hundred percent scholarship in case you can explain well, why you need one, or a short-term loan.
Some of the best Data Science courses on Coursera are-
Check out Datastock in case you need comprehensive, clean and ready-to-use pre-crawled web datasets from different industries across the globe. The solution is ideal for those who are looking for ready-to-use datasets to perform analysis and gain insights and acquire data science skills.
Kaggle is the place to do data science projects, and one of the most popular websites among budding data scientists. It gives various options like:
Their hands-on method teaches you all the skills you need to become a data scientist, data analyst, or data engineer. You can learn in various ways-