Data Analysis Course: Beginner to Advanced (2025 Roadmap & Syllabus)
Learn one of the most in-demand skills in India today. This course covers everything from Excel and SQL basics to Python, Power BI, Tableau, and advanced statistics. Perfect for students, professionals, and career changers looking to start or grow in the data industry.
Why Learn Data Analysis?
- High demand across IT, Finance, Marketing, Healthcare, and E-commerce industries.
- Attractive salaries for entry-level and experienced professionals.
- Gateway to roles like Data Scientist, Business Analyst, and Product Analyst.
Course Highlights
Mode
Online / Recorded Sessions
Projects
Work on Real-World Datasets
Certificate
Industry-recognized Completion Certificate
Placement
Interview Preparation & Career Assistance
Course Roadmap
Basic Roadmap (3–6 Months)
- Excel (Formulas, Pivot Tables, Dashboards)
- SQL (Queries, Joins, Grouping)
- Power BI / Tableau (Data Visualization & Dashboards)
- Statistics (Mean, Variance, Correlation)
Advanced Roadmap (6–12 Months)
- Python (Pandas, NumPy, Automation, ML Basics)
- ETL Tools (Power Query, Alteryx)
- Cloud Platforms (BigQuery, AWS, Azure)
- Advanced Stats & ML (Regression, Time-Series Forecasting)
- Domain Knowledge (Finance, Marketing, Healthcare)
Career Opportunities After This Course
- Data Analyst
- Business Analyst
- MIS Analyst
- Market Research Analyst
- Data Scientist (with advanced skills)
Frequently Asked Questions
What is the duration of the Data Analysis course?
The Data Analysis course duration is 3–6 months for basics and 6–12 months for advanced topics.
What are the prerequisites?
No prior coding knowledge is required. Basic computer skills and logical thinking are enough.
Is this course beginner-friendly?
Yes, this course starts from the basics and gradually covers advanced data analysis concepts.
Do I get a certificate?
Yes, a completion certificate is provided after successfully finishing the course.
What career options are available?
Career options include Data Analyst, Business Analyst, MIS Analyst, Market Research Analyst, and Data Scientist (advanced).
