Introduction to relational data base & SQL – Interactive Cares

Lesson List

Module – 1: Introduction to Statistics and Data Science

Module – 2: Basic Python Programming

Module – 3: Numpy, Pandas, Matplotlib

What is Numpy Array00:17:38

Numpy indexing & selection00:15:28

introduction to pandas00:07:05

Panda Series00:12:03

Pandas Data frames00:30:40

Handling missing data in Pandas Dataframe00:08:01

pandas Groupby00:08:23

Merging joining and concatenating00:10:57

Pandas Operations00:14:11

Module – 4: From beginner to Advanced level SQL

Introduction to relational data base & SQL00:13:47

Relational Data base & SQL00:06:30

SQL Syntax00:12:57

SQL-group by, having00:13:57

Aggregate functions00:08:17

SQL joints00:16:19

SQL Operations & Executing Queries Part 0100:20:56

SQL Operations & Executing Queries Part 0200:08:18

SQL Window Functions Part 0100:11:22

SQL Window Functions Part 0200:13:47

Interview problem solving -SQL00:12:39

Module – 5: Exploratory Data Analysis and Data Preparation

Module – 6: Data Visualization

Module – 7: Introduction to Machine Learning and Python SKlearn libraries

Module – 8: Machine learning model building, testing and evaluation

Module – 9: Feature Engineering and Model performance tuning

Introduction to relational data base & SQL

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