DataCamp mostly recommended these courses:
1) Data Scientist with Python: You build a query in Python and SQL to get the data you need from your company's database.
You clean and sort the data into a data frame (table) that's ready for analysis using Python and the panda’s module.
2) Data Scientist with R: Learning the R programming language may be of interest to those interested in data science. R can be used for statistical analysis and other purposes in data science. There are a variety of ways to get started learning R. Continue reading to learn more about R in data science, R vs. Python, real-world R applications, and the finest R add-on packages.
While certification may not place as much emphasis on SQL as it does on Python or R,
3) DataCamp also recommended SQL Fundamentals.
One of the main building elements of modern database architecture is the Structured Query Language (SQL). On all major platforms, SQL describes the procedures for creating and manipulating relational databases. The language may appear scary and sophisticated at first glance, but it isn't quite as difficult as it appears.
