Data Analytics Course
- By Rise Institute
4.5
1000+ Students Trained
Course level:Beginner
Course Duration:3 to 4 months
What I will learn?
- Become a Job-Ready Data Analyst: Power BI Developer | Data Analyst | BI Analyst | MIS Executive | Reporting Analyst
- Duration: 3 - 4 Months
- Mode: Online (Live Classes)
- Hands-On Projects: 4+ Domain Projects (Retail, Finance, Healthcare, E-commerce)
About Course
Our Data Analytics Program is designed to make you job-ready in just 3–4 months. You’ll start with strong foundations in Advanced Excel and SQL, progress to Power BI/Tableau dashboards, and then move into Python for analytics. Along the way, you’ll work on 4+ real-world domain projects (Retail, Finance, Healthcare, and E-commerce) to build practical skills.
We emphasize business understanding and storytelling, teaching you how to translate numbers into insights that decision-makers understand. The program concludes with an end-to-end capstone project, interview preparation, and resume building so you can showcase your portfolio confidently.
With continuous mentorship, HR sessions, and placement support until you get hired, this course prepares you for careers such as:
Power BI Developer, Data Analyst, BI Analyst, MIS Executive, Reporting Analyst, and Dashboard Developer.
Course Curriculum
- Data Cleaning & Formatting
- Conditional Formatting, Charts, Slicers
- Pivot Tables, Pivot Charts, Power Query
- Interactive Dashboard Creation
- Basics: SELECT, WHERE, GROUP BY, ORDER
BY - Joins: INNER, LEFT, RIGHT, FULL, SELF
- Subqueries, Common Table Expressions
(CTEs) - Window Functions, Rank, Row Number,
Lead/Lag - Stored Procedures & Real-Life Data Scenarios
- Connecting to Multiple Data Sources
- Data Modeling & Relationship Mapping
- DAX Formulas for KPIs and Calculations
- Slicers, Bookmarks, Filters, Drillthrough
- Power BI Service 3 Sharing Reports,
Scheduling Refresh - Project: Domain-Based Dashboards (e.g., Sales,
E-Commerse, Finance)
- Python Basics: Variables, Data Types,
Conditions, Loops - Pandas for Data Wrangling
- Real-time Dataset Cleaning & Reporting
- Understanding Business Goals and KPIs
- Report Writing and Insight Presentation
- Dashboard Optimization for Stakeholders
- Storytelling Techniques with Visuals
- End-to-End Real-Time Project
- Domain Options: Finance / Retail / Healthcare
/ Marketing - Resume-Ready Portfolio for Interviews
Who Should Enroll in the Data Analytics Course?
Students & Freshers from IT, Engineering, B.Com, B.Sc, or any stream who want to enter the analytics field.
Working Professionals looking to switch careers into high-demand roles like Data Analyst, BI Analyst, or MIS Executive.
Non-IT Professionals (Banking, Finance, Pharma, Retail, etc.) who want to upgrade their career with data skills.
Job Seekers who want to build practical skills, projects, and a portfolio to become placement-ready quickly.
Anyone curious about data who wants to learn Excel, SQL, Python, and Power BI/Tableau from scratch

EMI - ₹ 50,000
₹ 60,000
Discount 10% off
OTP- ₹ 45,000
₹ 60,000
Discount 30% off
Benefits Obtained :
- 100% Job Assistance
- 6+ Certifications
- Learn From Industry Experts
Data Science & Analytics Course
Get In Touch
- 91 93242 88446
- 91 80873 24253
- riseacademy777@gmail.com
- Office no 1606, Ascend RISE, Dev Corpora, near Cadbury Junction, Thane West, Mumbai, Thane, Maharashtra 400601
- RISE Institute, 6th Floor, Excellaa Plazzo, near Navle Bridge, Pune - 411046