The Data Analytics Program with Excel, SQL & Python is a comprehensive online training course designed to help learners build strong, job-ready skills in data analysis. This program provides a structured learning path covering advanced Excel, data cleaning techniques, SQL databases, and Python fundamentals, enabling students to understand how real-world data is handled, analyzed, and interpreted.

Ideal for beginners, students, and working professionals, the course focuses on both theoretical knowledge and hands-on practice. Learners gain practical exposure to building dashboards, analyzing datasets, writing SQL queries, and using Python for automation and data processing. By the end of the program, participants will understand the full workflow of data analytics, from data collection to visualization and reporting.

What Students Will Learn

1.Excel Fundamentals + Essential Formulas

Excel interface, ribbon, worksheets

Cell referencing: Relative, Absolute, Mixed

Basic formatting & shortcuts

       Essential formulas

2. Data Cleaning + Professional Data Handling

Remove Duplicates

Flash Fill

Text to Columns

Data Validation

Conditional Formatting

Find & Replace

Excel tables, sorting, filtering

3. Lookups, Mapping & Data Relationships

VLOOKUP

HLOOKUP

XLOOKUP

INDEX + MATCH

MATCH, OFFSET

Multi-sheet lookups

Mapping datasets

4. Pivot Tables + Data Analysis Models

Creating Pivot Tables

Grouping (dates, categories, numbers)

Calculated fields

Pivot charts

Drill-down analysis

Slicers & timelines

KPI analysis

5. Data Visualization + Excel Dashboards

Charts: Bar, Column, Line, Area, Pie, Donut, Histogram

KPI Cards

Dynamic charts

Slicers + interactive elements

Dashboard layout design

6. Introduction to Databases & SQL

What is a database?

SQL vs MySQL vs others

Relational database concepts

Tables, rows, columns, keys

7. MySQL Installation & Setup

Installing MySQL Server

Using MySQL Workbench

Creating databases and schemas

8. Basic SQL Commands

SELECT, DISTINCT

ORDER BY, LIMIT

WHERE filtering

Operators: IN, BETWEEN, LIKE

9 SQL Joins

INNER JOIN

LEFT JOIN

RIGHT JOIN

FULL OUTER JOIN

CROSS JOIN

Self JOIN

10 Advanced Conditions

AND, OR, NOT

CASE WHEN expressions

11 Aggregations

COUNT, SUM, AVG, MIN, MAX

GROUP BY

HAVING

12 Subqueries

Subqueries in SELECT

Subqueries in WHERE

Subqueries in FROM

Correlated subqueries

13 Data Cleaning in SQL

TRIM, REPLACE

SUBSTRING

LOWER, UPPER

NULL handling

COALESCE

14 Window Functions

OVER

ROW_NUMBER

RANK, DENSE_RANK

LEAD, LAG

Running totals, moving averages

15 Table Operations

CREATE, INSERT, UPDATE, DELETE

ALTER TABLE

TRUNCATE

16 Data Modeling Concepts

ER diagrams

1NF, 2NF, 3NF

Keys & constraints

17 Views & Temporary Tables

Creating and using views

Temporary tables

CTEs (WITH clause)

18 MySQL Functions for Analytics

Date functions: DATEDIFF, DATE_ADD, YEAR, MONTH

Math: ROUND, CEIL, FLOOR

String: CONCAT, LPAD, RPAD

Performance Basics

Indexes

EXPLAIN query optimization

19 Importing & Exporting Data

LOAD DATA INFILE

Import CSV

Export results

Connecting MySQL with Excel/Power BI

20 Python

Week 1 → Basics + Data Types + Operators
Week 2 → Conditionals + Loops
Week 3 → Strings + Lists
Week 4 → Tuples + Sets + Dictionaries
Week 5 → Functions + File Handling
Week 6 → OOP + Mini Project

Teaching Method

This course is delivered through live online interactive sessions, combining theory with practical application:

• Step-by-step demonstrations using real datasets

• Hands-on exercises and assignments

• Case-based learning and practical scenarios

• Regular doubt-clearing and guidance sessions

• Focus on real-world analytics workflows

The structured approach ensures students gain both technical knowledge and practical confidence.

Why This Tutor

The tutor focuses on practical, industry-oriented training, helping learners understand data analytics concepts clearly and apply them effectively. The teaching style emphasizes real-world examples, interactive learning, and gradual skill development.

Benefits & Outcomes

By completing this program, learners will:

• Develop strong data analysis skills using Excel, SQL, and Python

• Learn professional data cleaning and visualization techniques

• Build interactive dashboards and reports

• Understand database management and query optimization

• Gain confidence to pursue careers in data analytics

This program provides a solid foundation for those aspiring to enter the data analytics and business intelligence field.