Course Syllabus
Roadmap • Career Track
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Career Track • 6 Months • Hands-On

Data Analysis
Learn, Analyze, Visualize & Drive Business Decisions

Master Data Analysis using Excel, SQL, Python, Power BI, and Tableau. Learn data cleaning, visualization.

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Industry-Focused Curriculum

Learn Data Analysis using industry-standard tools including Excel, SQL, Python, Power BI, and Tableau.

End-to-End Skills

Work on real-world datasets and business scenarios to develop practical analytical skills.

Career Support & Certification

Receive a recognized course completion certificate along with resume building.

⭐ Core Roadmap

Build essential analytical skills with a progressive curriculum.

2. Advanced Python

NumPy, Pandas & Data Manipulation

3. Database Management

SQL, Joins & Data Modeling

4. Data Collection

Web Scraping, APIs & Automation

5. Version Control

Git & GitHub

6. Data Cleaning

Missing Values & Data Transformation

7. EDA

Statistics & Pattern Discovery

8. Data Visualization

Matplotlib, Seaborn & Dashboards

9. Business Intelligence

KPIs, Reports & Insights

10. Advanced Analytics

Correlation & Statistical Analysis

11. Data Warehousing

ETL Pipelines & Integration

12. Big Data

Hadoop & Apache Spark

13. Dashboard Development

Power BI & Tableau

14. Machine Learning

Regression & Classification

15. Real-World Projects

Sales, Customer & Market Analytics

Projects You Will Build

Customer Churn Analysis Using Python.

Analyzed customer data to identify churn patterns and retention opportunities.

Sales Performance Dashboard

Developed an interactive dashboard using Python, Pandas, SQL, and Power BI to analyze sales trends, revenue growth, customer behavior, and key business KPIs.