Data Analytics

Analytics Foundations

1

Introduction to Data Analytics

→

2

Data Types and Classification

→

3

Data Quality and Governance

→

Probability and Sampling

4

Sampling Methods

→

5

Probability Fundamentals

→

6

Key Probability Theorems

→

Descriptive Statistics

7

Descriptive Statistics

→

8

Probability Distributions

→

9

Data Visualization Principles

→

Inferential Statistics

10

Inferential Statistics

→

11

Correlation Analysis

→

12

Regression Analysis

→

Excel for Analytics

13

Excel Functions

→

14

Excel Data Analysis

→

SQL for Data Analysis

15

SQL Fundamentals

→

16

SQL Complex Queries

→

17

SQL Analytical Functions

→

18

SQL Database Concepts

→

Python Programming

19

Python Core Concepts

→

20

Python Advanced Concepts

→

21

NumPy Essentials

→

Pandas for Data Analysis

22

Pandas Fundamentals

→

23

Pandas Operations

→

24

Pandas Advanced Operations

→

Python Visualization EDA

25

Python Visualization

→

26

EDA Process

→

27

Feature Engineering

→

Tableau

28

Tableau Foundations

→

29

Tableau Advanced Features

→

30

Tableau Dashboards

→

Power BI and DAX

31

Power BI Foundations

→

32

DAX Fundamentals

→

33

DAX Functions

→

34

Power BI Reports and Sharing

→

Advanced Analytics

35

AB Testing

→

36

Time Series Analysis

→

37

Business Analysis Techniques

→

Business Analytics

38

Customer Analytics

→

39

Data Architecture

→

40

Business Intelligence

→

Analytics Career Skills

41

Machine Learning Concepts

→

42

Classification

→

43

Text Analytics

→

44

Data Privacy

→

45

Professional Skills

→