5 Essential Books for Beginners in Data Science

The beauty of learning complex things is by breaking them down into smaller simple things. Nobody was born an expert, just like the writer did not become a data geek until after campus -- without even a Data Science background. Nevertheless, you should be in love with mathematics and coding to even appreciate the most difficult concepts in Data Science. To be a Data Science pro, you should be skilled in Statistics, Machine Learning,Deep Leaning; capable of knowing the right tools in those fields. Apparently, there is more to Data than collecting, preparing and cleaning using tools like MS Excel, R, SQL and Tableau that you will find in any Data Analytics course. Data Analytics answers questions pertaining descriptive, diagnostic and prescriptive analytics while Data Science involves an additional field known as predictive analytics.