Master Data Analytics with BI Tools in 12 Weeks

Transform raw data into actionable insights. Master SQL, Python, and leading BI tools to launch your career in data analytics.

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97% Satisfaction
4,500+ Alumni
91% Job Placement
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Master the Data Analytics Toolkit

Learn the industry-standard tools used by data professionals

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PostgreSQL

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Jupyter

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Pandas

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Power BI

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Tableau

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Scikit-learn

Data Analyst & Power BI Curriculum

Master Excel, SQL, Python, and Power BI from beginner to advanced level

  • Sessions 1–5: Introduction to Data Analytics
  • • What is Data Analytics?
  • • Tools Overview: Excel, Python, SQL
  • • Data Collection and Cleaning
  • Exercise: Clean a messy dataset in Excel or Google Sheets.
  • Sessions 6–10: Data Analysis with Excel
  • • Formulas: SUM, VLOOKUP, INDEX-MATCH
  • • Pivot Tables and Charts
  • • Conditional Formatting & Validation
  • Exercise: Analyze a sales dataset with pivot tables.

  • Sessions 11–15: Introduction to SQL
  • • Basic Queries (SELECT, WHERE, JOIN)
  • • Aggregations (GROUP BY, HAVING)
  • • Subqueries and Window Functions
  • Exercise: Query a database to find top-performing products.
  • Sessions 16–20: Data Visualization Fundamentals
  • • Visualization Principles
  • • Power BI/Tableau Basics
  • • Building Dashboards
  • Exercise: Create a Power BI dashboard for financial data.
  • Sessions 21–25: Python for Data Analysis
  • • Libraries: Pandas, NumPy
  • • Data Cleaning & Manipulation
  • • Visualization with Matplotlib/Seaborn
  • Exercise: Analyze trends in a dataset using Python.

  • Sessions 26–30: Advanced Python
  • • Advanced Pandas (groupby, merging)
  • • Time Series Analysis
  • Exercise: Analyze time-series data for forecasting.
  • Sessions 31–35: Power BI Advanced Techniques
  • • DAX Functions
  • • APIs & External Data
  • • Custom Visuals and Filters
  • Exercise: Build an HR analytics dashboard in Power BI.
  • Sessions 36–45: Capstone Project
  • • Integrate Excel, SQL, Python, Power BI
  • Project Ideas: Retail sales dashboard, customer segmentation analysis.

Data Analytics Program

Master data analysis with expert guidance

Course Only

₹39,999 ₹19,999

  • Structured theoretical & practical learning modules
  • Live and recorded training sessions
  • Access to Project platforms and tools
  • Practice with real market case studies
  • Certificate of Completion
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Course + Internship

₹1,00,000 ₹49,999

  • Includes everything from the Course Only package
  • Hands-on internship with real-time Live Project exposure
  • Live Project strategy development under mentor guidance
  • Learn Project Lifecycle from Idea to Deployment
  • Hands-on Skills for Health, FinTech,etc...
  • Project work with report submission
  • Weekly reviews and performance tracking
  • Direct mentorship from industry experts
  • Internship Certificate + Project Letter on company letterhead
  • Placement & freelancing guidance post-training
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Frequently Asked Questions

Everything you need to know before enrolling

No prior programming experience is required. We start with fundamental concepts in SQL and Python and gradually build up to more advanced analytics techniques. Our curriculum is designed for complete beginners as well as those with some technical background.

You'll need a computer (Mac or Windows) with at least 8GB RAM and a modern processor. For the best experience with BI tools like Tableau and Power BI, a discrete graphics card is recommended but not required.

We recommend 12-15 hours per week to complete the course in 12 weeks. All materials are available for 1 year, so you can learn at your own pace if needed. The course includes both live sessions (recorded) and hands-on analytics projects.

Our graduates have a 91% job placement rate within 6 months of completing the course. This includes full-time positions, internships, and freelance opportunities. We provide extensive career support including portfolio reviews, case study prep, and job search strategies.

Yes! We offer a 30-day money-back guarantee. If you're not satisfied with the course in the first 30 days, we'll give you a full refund, no questions asked.

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