From Excel Spreadsheets
to Machine Learning Models.

Name: Data Analytics with Power BI, SQL & Machine Learning
Rating: 4.9 (85 reviews)

Kerala's most advanced Data Analytics program. Master Excel, SQL, Python, Power BI, Tableau, and GenAI — in one structured 24-week program designed to make you job-ready as a Data Analyst, BI Developer, or ML-ready Analyst.

Excel SQL Python Power BI Tableau GenAI

Duration: 24 Weeks (6 Months)
⏱ Effort: ~240–260 Total Hours
Mode: 2 Hours/Day · 5 Days/Week

Enroll in Next Batch → Download 24-Week Syllabus ↓ Talk to Counselor 💬

Power BI Certified SQL Expert Python Analytics

240+ Hours of Analytics

PLACEMENTS

Recent Graduates Working At

Three Pillars. One Outcome:
Becoming a Job-Ready Analyst.

The Kompetenzen Data Analytics program is built on three pillars designed for maximum career impact:

DEPTH

Advanced mastery of Excel, Power BI & Tableau. Not surface-level. You will build production-grade dashboards that pass enterprise-level reviews.

BREADTH

Aligned with structured professional certification syllabi. Our curriculum maps to Microsoft Power BI, Google Data Analytics, and Tableau certification standards.

INNOVATION

Integration of GenAI for Analysts & Machine Learning. You won't just analyze data. You'll automate insight generation with AI and build your first ML models.

OUTCOME

Job-ready Data Analyst / BI Analyst with strong tool mastery, analytics expertise, visualization skills, and ML exposure.

CURRICULUM

Your Month-by-Month
Analyst's Ascent.

Tool Focus: Microsoft Excel

Week 1–2: Core Concepts & Data Fundamentals (IF/IFS/SUMIF)
Week 3: Advanced Lookup Patterns (VLOOKUP, XLOOKUP, INDEX MATCH)
Week 4: Analytics & Automation (Pivot Tables, Power Query, Macros)

Project: Excel MIS Dashboard (Sales / HR) — Interactive Reporting

Tool Focus: SQL / MySQL

Week 5–6: Relational Fundamentals (SELECT, JOINs, GROUP BY)
Week 7: Advanced Techniques (Subqueries, CASE, Window Functions)
Week 8: Optimization & Procedure (CTEs, Stored Procedures, Performance)

Project: Analytics-ready SQL Schema design + Business Analytics Case Study

Tool Focus: Python

Week 9: Essentials (Variables, Loops, Data Structures)
Week 10: Workflow (Functions, File I/O, Error Handling)
Week 11: The Data Stack (NumPy, Pandas DataFrames)
Week 12: Pandas Analytics + Visualization (Groupby, Matplotlib, Seaborn)

Project: End-to-End Data Cleaning + Automated Analytics Report using Pandas

Tool Focus: Power BI + Advanced Visualization

Week 13: Visualization Principles & Data storytelling
Week 14: Python Visualization Integration (Plotly)
Week 15: Power BI Core (Power Query, Data Modeling, Star Schema)
Week 16: Advanced Power BI (DAX, Time Intelligence, Row Level Security)

Project: Interactive Power BI Business Dashboard (Sales KPI tracking)

Tool Focus: Tableau + Statistics

Week 17–18: Tableau Mastery (Dimensions, Measures, LOD Expressions, Story Points)
Week 19: Statistics for Analysts (Distributions, Correlation, Regression, Testing)
Week 20: Exploratory Data Analysis (EDA, Outliers, Feature Engineering)

Project: Comprehensive EDA + Strategic Insight Presentation with Tableau

Tool Focus: ML + GenAI + Big Data

Week 21–22: Machine Learning Fundamentals (Supervised vs Unsupervised, Clustering, Model Evaluation)
Week 23: GenAI for Analysts (Automated Insight Generation, Prompt Engineering for SQL/Python)
Week 24: Big Data & Career Prep (Spark basics, Mock Interviews, Portfolio)

Capstone Project: End-to-End Analytics Project with ML Integration

PROJECT PORTFOLIO

Graduate With 5–6 Industry-Grade
Projects in Your Portfolio.

Project 1: Excel MIS Dashboard

Interactive reporting with pivot tables, Power Query & conditional formatting.

Project 2: SQL Query Reports

Business analytics case study with complex queries, CTEs & window functions.

Project 3: Python Data Pipelines

Automated data pipelines using Pandas for real-world messy datasets.

Project 4: Interactive BI Dashboards

Executive-level Power BI & Tableau dashboards with DAX measures & RLS.

Project 5: ML Model + GenAI Analysis

Regression/classification model + AI-powered narrative generation.

CAREERS

Career Paths You Can Pursue.

Core Analytics

• Data Analyst
• Junior Data Analyst
• Business Data Analyst
• Analytics Executive

Business Intelligence

• BI Analyst
• Power BI Developer
• Tableau Developer
• Reporting Analyst

Specialized & Emerging

• Marketing / HR Analytics
• Sales Analytics Exec
• GenAI Analytics Associate
• Operations Analyst

Salary Range (India)

Entry Level

₹3L – ₹5.5L /yr

Mid Level

₹5.5L – ₹10L /yr

Freelance BI

₹500 – ₹1500 /hr

Frequently Asked Questions

Completely. Many of our most successful graduates came from commerce, arts, and management backgrounds. Month 1 starts with Excel — the most familiar tool for most professionals.

No. Python is introduced in Month 3, after you've built strong analytical thinking through Excel and SQL. The progression is carefully designed for beginner success.

Yes — Month 6 covers supervised and unsupervised ML algorithms including Decision Trees, Random Forest, K-Means, and Regression, all implemented in Python using real datasets.

Ready to Launch Your Data Career in 24 Weeks?

From zero analytics experience to job-ready Data Analyst in 6 months. Join 1,000+ professionals who transformed their careers at Kompetenzen.

Next batch starting soon | Limited students per batch

From Excel Spreadsheets to Machine Learning Models.