Diploma in Data Analytics
Excel | Power BI | Python | SQL | Live Projects & Job 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
Job Scope After Data Analytics Course
Data Analyst
Market Research Analyst
Data Visualization Specialist
Financial Analyst
SQL Data Analyst
Business Analyst