Data Analytics Course in Delhi | LBSTI

Diploma in Data Analytics

Excel | Power BI | Python | SQL | Live Projects & Job Placement

Duration: 10 Months Fees: โ‚น30,000 Beginner to Advance Internship & Placement

About Data Analytics Course

This Data Analytics course at LBSTI is designed to build strong foundations and advanced analytical skills using industry-relevant tools. The course focuses on real-world data handling, visualization, analysis, and reporting to make students job-ready.

Beginner Level

MS Office with Google Apps

Introduction to Computers, Operating System, Computer Fundamentals, Internet & Email Concepts. MS Word (documents, formatting, mail merge), MS PowerPoint (professional presentations, animations, slide designs), MS Excel basics, Google Docs, Sheets, Slides, Drive, Gmail, Online Forms, and basic digital working skills required for analytics.

Advanced Excel

Advanced Excel concepts including formulas & functions, logical functions (IF, VLOOKUP, XLOOKUP), Pivot Tables & Pivot Charts, Data Cleaning, Data Validation, Conditional Formatting, Dashboard creation, What-if Analysis, Macros & Automation, and real-world Excel projects.

Data Analysis using Power BI

  • Introduction to Power BI & Business Intelligence Concepts
  • Power BI Interface, Data Import & Data Modeling
  • Data Transformation using Power Query
  • DAX Functions & Advanced Calculations
  • Interactive Charts, Graphs & Dashboards
  • Filters, Slicers, Drill-through & Visual Interactions
  • Row-Level Security & Performance Optimization
  • Power BI Service, Excel Integration & Sharing Reports
  • Final Power BI Project & Case Study

Advance Level

Python Programming for Data Analytics

Python installation, syntax & data types, strings, lists, tuples, dictionaries, loops, functions, lambda expressions, NumPy, Pandas, data cleaning, data manipulation, statistics, data visualization, file handling, exception handling, OOP concepts, and Python-based data analytics projects.

Data Analysis using SQL

SQL & RDBMS concepts, data types, CREATE/ALTER/DROP commands, SELECT queries, WHERE, GROUP BY, ORDER BY, JOINs (INNER, LEFT, RIGHT), subqueries, functions (COUNT, SUM, AVG), views, indexes, stored procedures, triggers, transactions, and real-world SQL projects.

More Than 35+ Live Projects

Sales Dashboard Inventory Management System Customer Churn Analysis HR Employee Data Analysis Market Basket Analysis Stock Price Prediction Hospital & Patient Data Analysis Website Traffic Analysis E-commerce Revenue Insights Weather Data Analysis Survey Data Analysis and many more...

Job Scope After Data Analytics Course

Data Analyst

Market Research Analyst

Data Visualization Specialist

Financial Analyst

SQL Data Analyst

Business Analyst

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