Diploma Program

Advanced Data Analytics Course

Master the complete data analytics lifecycle. From Excel basics to advanced Python analytics, and professional dashboards with Power BI & Tableau. Become job-ready with a real-world Capstone Project.

Enroll Now View Curriculum

10 Months

Course Duration

7 Modules

Comprehensive

Hands-on

Practical Training

Placement

Job Assistance

Course Curriculum

A step-by-step journey from data fundamentals to advanced analytics & visualization

Module 1 - 4 Weeks

Data Analytics using Excel

Build a strong foundation in data analysis using the world's most popular spreadsheet tool. Learn to organize, clean, analyze, and visualize data using advanced Excel features.

Topics Covered:
  • Excel Fundamentals & Worksheets Management
  • Formulas & Functions (VLOOKUP, HLOOKUP, XLOOKUP, IF, SUMIF, COUNTIF)
  • Advanced Functions (Index-Match, Indirect, Offset, Array Formulas)
  • Data Cleaning & Text Functions
  • Conditional Formatting & Data Validation
  • Pivot Tables, Pivot Charts & Slicers
  • Charts & Graphs for Business Reporting
  • What-If Analysis (Goal Seek, Scenario Manager, Data Tables)
  • Macros & VBA Basics for Automation
  • Business Dashboards using Excel
Module 2 - 4 Weeks

SQL Fundamentals

Learn Structured Query Language to extract, manipulate, and analyze data stored in relational databases. SQL is an essential skill for every data analyst.

Topics Covered:
  • Introduction to DBMS & RDBMS Concepts
  • Installing & Working with MySQL / PostgreSQL
  • DDL Commands: CREATE, ALTER, DROP, TRUNCATE
  • DML Commands: SELECT, INSERT, UPDATE, DELETE
  • Filtering Data: WHERE, DISTINCT, BETWEEN, IN, LIKE
  • Sorting & Grouping: ORDER BY, GROUP BY, HAVING
  • Aggregate Functions: COUNT, SUM, AVG, MIN, MAX
  • Joins: INNER, LEFT, RIGHT, FULL OUTER, CROSS JOIN
  • Subqueries, Nested Queries & Common Table Expressions (CTE)
  • Window Functions: RANK, ROW_NUMBER, NTILE, LEAD/LAG
  • Views, Stored Procedures & Indexes
  • Writing Complex Queries for Real-World Datasets
Module 3 - 5 Weeks

Python Fundamentals

Start your journey into Python programming — the most popular language for data science. Learn core concepts with practical coding exercises and real datasets.

Topics Covered:
  • Python Installation & Environment Setup (Anaconda, Jupyter)
  • Variables, Data Types & Type Casting
  • Operators: Arithmetic, Comparison, Logical, Assignment
  • Control Flow: if-else, elif, Nested Conditions
  • Loops: for, while, break, continue, pass
  • Data Structures: Lists, Tuples, Sets, Dictionaries
  • Strings Manipulation & Regular Expressions (RegEx)
  • Functions: User-defined, Lambda, Args & Kwargs
  • Object-Oriented Programming (OOPs) Concepts
  • File Handling: Read/Write CSV, Text, JSON files
  • Error Handling: try, except, finally
  • Modules, Packages & pip (NumPy Basics)
Module 4 - 6 Weeks

Analytical Tools with Python

Dive deep into Python's powerful data analysis libraries. Manipulate large datasets, perform statistical analysis, and prepare data for machine learning and visualization.

Topics Covered:
  • NumPy: Arrays, Vectorized Operations, Linear Algebra
  • Pandas: Series, DataFrames, Indexing & Slicing
  • Data Wrangling with Pandas: Merge, Join, Concatenate, Reshape
  • Data Cleaning: Handling Missing Values, Duplicates, Outliers
  • Data Transformation: GroupBy, Aggregation, Pivot Tables
  • Working with Dates & Time Series Data
  • Exploratory Data Analysis (EDA) Techniques
  • Statistical Analysis: Mean, Median, Mode, Variance, Standard Deviation
  • Correlation & Covariance Analysis
  • Probability Distributions & Hypothesis Testing Basics
  • Matplotlib & Seaborn: Static Visualizations
  • Reading/Writing data from SQL, Excel, CSV into Python
Module 5 - 4 Weeks

Data Visualization with Power BI

Transform raw data into interactive business intelligence dashboards using Microsoft Power BI. Connect to multiple sources, build reports, and share insights across the organization.

Topics Covered:
  • Power BI Overview, Installation & Workspace
  • Data Connectivity: Excel, CSV, SQL Server, Web, Folder Sources
  • Power Query Editor: Data Transformation & Cleaning
  • Merging Queries, Append Queries & Custom Columns
  • Data Modeling: Relationships, Star Schema, Snowflake Schema
  • DAX Fundamentals: Calculated Columns & Measures
  • DAX Functions: SUMX, CALCULATE, FILTER, ALL, RELATED
  • Time Intelligence Functions in DAX
  • Visualizations: Bar, Line, Pie, Scatter, Treemap, Map
  • Custom Visuals & AppSource Marketplace
  • Bookmarks, Drill-through & Drill-down
  • Row Level Security (RLS) & Publishing to Power BI Service
  • Building End-to-End Business Dashboards
Module 6 - 4 Weeks

Tableau for Data Visualization

Master Tableau, the industry-leading BI tool. Create stunning interactive dashboards, advanced charts, and compelling stories that drive data-informed decisions.

Topics Covered:
  • Tableau Desktop, Public & Server Overview
  • Connecting to Data Sources: Excel, CSV, SQL, Cloud
  • Data Blending, Joins & Data Preparation
  • Dimensions vs Measures, Continuous vs Discrete
  • Basic Charts: Bar, Line, Pie, Area, Scatter Plots
  • Advanced Charts: Heatmaps, Bullet Graphs, Box Plots, Gantt
  • Calculated Fields, Parameters & Sets
  • Level of Detail (LOD) Expressions: FIXED, INCLUDE, EXCLUDE
  • Table Calculations: Running Total, Percent of Total, Rank
  • Filters, Groups, Hierarchies & Bins
  • Dashboards Design & Best Practices
  • Actions: Filter, Highlight, URL, Go to Sheet
  • Stories, Publishing & Tableau Public Sharing
Module 7 - 5 Weeks

Capstone Project

Apply everything you've learned in a comprehensive, real-world Capstone Project. Work on an industry-grade dataset from problem definition to final dashboard presentation. Get guidance from experienced mentors and build your portfolio.

Project Highlights:
  • End-to-End Data Analytics Lifecycle
  • Real-world Business Problem Framing
  • Data Collection from Multiple Sources
  • Data Cleaning & Preprocessing
  • Exploratory Data Analysis (EDA)
  • SQL Queries for Data Extraction
  • Python (Pandas/NumPy) for Analysis
  • Dashboard Building in Power BI / Tableau
  • Insights & Recommendations Report
  • Project Presentation & Portfolio Setup
Note: The project will be evaluated by industry experts, and the best projects will be showcased to our hiring partners for placement opportunities.

Why Join Our Data Analytics Program?

Expert Faculty

Learn from industry-experienced trainers with 10+ years in data analytics roles at top companies.

Hands-on Labs

Practice daily in our fully equipped labs with real datasets from various industries & domains.

Certification

Government-recognized Diploma Certificate plus course completion certification for each module.

Placement Assistance

Resume building, mock interviews, and direct placement drives with our hiring partners.

Lifetime Support

Access to course materials, recorded sessions, and alumni network even after course completion.

Small Batch Size

Personal attention with limited students per batch to ensure every learner progresses well.

Ready to Launch Your Data Analytics Career?

Join thousands of successful students who have transformed their careers with our program.
Limited seats available — enroll today and secure your future in Data Analytics.

Register Now Back to Courses