3 Components of Programming in Data Science

1. Excel

Microsoft Excel is still one of the most important and widely used tool in data science for quick data analysis. Even if there are tools to handle big datasets, Excel always comes handy in day to day analytics projects for quick EDA or even making exhaustive reports.

Basic Excel Functions Advance Excel Interactive Dashboards

2. SQL

SQL (Structured Query Language) is used by everyone in analytics whether you are Data Scientist, Data Analyst or Data Engineer. The easiest, as well as one of the most necessary skill a data science aspirant should acquire is SQL.

Beginners SQL Intermediate SQL Advanced SQL Assignments

3. Python

Understanding of Python is one of the valuable skills needed in data science career in the recent years.

Python Course has 8 hands-on Modules with assignments.

Python Basics Numpy Pandas Functions Visualization DateTime
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