HIGH DEMAND CAREER

Data Analytics
Using Python

Transform raw data into strategic business decisions. Master the most powerful data stack in the industry today.

Course Snapshot

DURATION

8 Months

CERTIFICATION

Global Exam Based

SUPPORT

100 % Placement Assistance

INTERNSHIP

2 Month Live Project

Data Analytics Process

From raw data to smart business decisions

1
Collection

Gather raw data from multiple sources

2
Cleaning

Remove errors and missing values

3
Processing

Structure and transform data

4
Analysis

Find patterns and insights

5
Visualization

Create charts and dashboards

6
Decision

Make data-driven decisions

The Power Stack

Master the industry-standard tools & technologies

Microsoft Excel

Data analysis, reporting & dashboards

SQL

MySQL / PostgreSQL database querying

Python

Pandas, NumPy & data visualization

Statistics

Probability, correlation & data interpretation

Power BI

Interactive dashboards & business insights

AI Tools

ChatGPT & AI-powered analytics

Tableau

Advanced data visualization tools

GitHub

Portfolio & version control system

Curriculum Breakdown

1
Data Foundations & Python Basics

Introduction to Python syntax, variables, and data types for analysts.

2
Data Wrangling with Pandas

Cleaning, transforming, and merging datasets into business insights.

3
Visual Storytelling

Create dashboards and charts to communicate insights effectively.

4
Statistical Analysis & Modeling

Predictive models and hypothesis testing using real data.

Take the First Step to Being a Data Analytics

Get the complete syllabus, project list, and career roadmap in one PDF.