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Data Analysis Course Using Python

Data Analysis Course Using Python

Become a job-ready Data Analyst by learning Python, NumPy, Pandas, Data Visualization, SQL, Excel, Dashboard Development, and Real-World Projects.

Master Data Analysis with Python

  • Beginner Friendly

  • Real-World Projects

  • Weekend Batches Available

  • Industry-Oriented Curriculum

  • Career Support Program

  • Certificate of Completion

What is Data Analysis?

Data Analysis is the process of collecting, cleaning, transforming, and analyzing data to discover useful information and support decision-making.
Companies use Data Analysis for:
Business Intelligence
Sales Analysis
Healthcare Analytics
Financial Reporting
Customer Insights
Marketing Analytics
Data Analysts are among the most in-demand professionals worldwide.

Course Roadmap

Module 1: Python Fundamentals

Topics Covered

  • Introduction to Python

  • Variables and Data Types

  • Operators

  • Conditional Statements

  • Loops

  • Functions

  • Modules and Packages

  • File Handling

  • Exception Handling

  • List

Module 2: NumPy

Topics Covered

  • Arrays

  • Array Operations

  • Indexing and Slicing

  • Mathematical Functions

  • Statistical Functions

  • Reshaping Arrays

  • Broadcasting

Module 3: Pandas

Topics Covered

  • DataFrames

  • Series

  • Reading CSV Files

  • Reading Excel Files

  • Data Cleaning

  • Handling Missing Values

  • Filtering Data

  • GroupBy

  • Merge and Join

  • Pivot Tables

Module 4: Data Visualization

Topics Covered Matplotlib & Seaborn

  • Line Charts

  • Bar Charts

  • Pie Charts

  • Histograms

  • Scatter Plots

  • Heatmaps

  • Pairplots

  • Distribution Plots

  • Boxplots

  • Correlation Analysis

Module 5: Excel for Data Analysis

Topics Covered

  • Advanced Excel

  • Formulas

  • Pivot Tables

  • VLOOKUP

  • XLOOKUP

  • Conditional Formatting

  • Charts and Graphs

Module 6: SQL for Data Analysts

Topics Covered

  • Database Basics

  • SELECT Statements

  • WHERE Clause

  • GROUP BY

  • ORDER BY

  • JOINS

  • Subqueries

  • Views

  • Stored Procedures Basics

Module 7: Exploratory Data Analysis (EDA)

Topics Covered

  • Data Cleaning

  • Data Transformation

  • Outlier Detection

  • Correlation Analysis

  • Trend Analysis

  • Business Insights

Module 8: Dashboard Development

Tools Covered Power BI or Tableau Basics

  • Dashboard Creation

  • KPI Analysis

  • Interactive Reports

  • Business Visualization

Career Opportunities

After Completing This Course You can apply for:

  • Data Analyst

  • Junior Data Analyst

  • Business Analyst

  • Reporting Analyst

  • MIS Analyst

  • Data Visualization Specialist

  • BI Analyst

  • Operations Analyst

What We are expert of

Frequently Asked Questions

Is Python required for Data Analysis?

Yes, Python is the most popular programming language used for Data Analysis.

What is the duration of the course?

The course duration is 3 to 4 months depending on the batch selected.

Will I work on projects?

Yes, students will complete multiple real-world projects.

Do I get a certificate?

Yes, a course completion certificate will be provided.

Is this course suitable for beginners?

Short Description