Data Analytics ( SQL + Power BI + Python )
- Home
- Data Analytics ( SQL + Power BI + Python )
Data Analytics with Zero - Hero, Powered by Kastra Technologies
Industry-ready program designed to build real-world data analytics skills
- ✔ 75 Hours | 2.5 month industry-ready course
- ✔ Live instructor-led + self-paced learning
- ✔ Hands-on projects & real datasets
- ✔ Industry-standard tools:
- ✔ Excel, SQL, Python, Power BI
- ✔ Capstone projects + portfolio building
- ✔ Certification from Kastra Technologies
- ✔ 100% Career Assistance
- ✔ Next batch starting soon
Build a Future-Ready Career in Data Analytics
A structured, industry-aligned program by Kastra Technologies designed to equip you with practical skills, real-world experience, and career support.
300+ Hours of Industry-Focused Training
Structured learning combining live sessions and guided practice aligned with real job roles.
Data Analytics
Learn core tools with workflows to enhance efficiency and analytical capability.
25+ Industry Projects & Capstone
Hands-on exposure to real datasets with portfolio-ready project work.
Career Support
End-to-end support including resume building, mock interviews, and certification.
Still have questions?
Can’t find the answer you’re looking for? Please chat to our friendly team.
Introducing FOCUS
A high-impact coding program designed to sharpen your technical skills and simulate real IT sprint experience — in just a few hours a week!
Practice-First Sessions
100% Practical With Theory
Course Reordings
Access to Course Recordings
Sprint Simulations
Experience real-world project scenarios
Course Curriculum
This Data Analytics Course Curriculum is designed to take students from beginner to expert level.
Core Content
- Data Analytics workflow
- Types of data
- DBMS vs RDBMS
- SQL Server setup
- Tables, Views, Schemas
- SQL Commands & Constraints
Task: Create database & tables
Pro Tip: Clean schema design matters
Outcome: CRUD operations
- WHERE, LIKE, ORDER BY
- COUNT, SUM, AVG
- GROUP BY & HAVING
- CASE logic
Task: Analyze datasets
Tip: Test queries on small data
Outcome: Analytical reporting
- String, Numeric, Date functions
- Joins (INNER, LEFT, RIGHT)
- Normalization (1NF, 2NF, 3NF)
Task: Join datasets
Tip: Normalize then optimize
Outcome: Data modeling skills
- Subqueries
- Stored Procedures
- Triggers & Transactions
- Indexing & Security
Task: Automate reporting
Tip: Avoid over-indexing
Outcome: Optimized databases
- Python basics
- Data structures
- Functions & file handling
Task: Clean & export data
Tip: Use reusable functions
Outcome: Python fundamentals
- NumPy & Pandas
- Data cleaning
- Visualization
Task: Analyze dataset
Tip: Use chaining
Outcome: End-to-end analysis
- Power Query
- Data cleaning
- Star schema
Task: Build model
Tip: Clean model first
Outcome: BI-ready datasets
- DAX & dashboards
- Publishing & sharing
- RLS & pipelines
Task: Deploy dashboard
Tip: Separate dev & prod
Outcome: Production-ready BI
Learner’s Journey
Career Assistance In Data Analyst Course
Resume Building
Optimize your resume for Data Analytics roles
Mock Interviews
Get ready for technical & HR rounds with mentors
Interview Prep
Learn key analytics interview questions & answers
Is this Data Analytics Course right for you?
Gain hands-on analytics skills before graduation using Excel, Python, SQL, and Power BI.
Learn dashboards, reporting, and analytics from scratch.
Build dashboards and SQL skills from zero.
Transition into analytics with real-world reporting skills.
Build automation workflows using Excel & Python.
Turn insights into business decisions.
Still have questions?
Can’t find the answer you’re looking for? Please chat to our friendly team.





