
Get hands-on training in data collection, analysis, visualization, and real-world projects to generate actionable business insight
A structured path that builds core data analytics skills and advances to professional-level expertise
Hands-on experience with real datasets, reporting, dashboards, and industry-relevant analytics projects.
Guidance from experienced data analytics professionals to build confidence and job-ready skills.
🔹 Basics
Excel Interface & Shortcuts
Data Types & Formatting
Basic Formulas (SUM, AVERAGE, COUNT, MIN, MAX)
Cell Referencing (Relative, Absolute, Mixed)
🔹 Intermediate
Logical Functions (IF, AND, OR, IFS)
Lookup Functions (VLOOKUP, HLOOKUP, XLOOKUP)
Text Functions (LEFT, RIGHT, MID, LEN, TRIM)
Date & Time Functions
Conditional Formatting
Data Validation
🔹 Advanced
Pivot Tables & Pivot Charts
Power Query (Data Cleaning & Transformation)
Power Pivot & Data Model
Advanced Charts & Dashboards
What-If Analysis (Goal Seek, Scenario Manager)
Macros (Intro) & Automation
Real-time Business Case Studies
🔹 Basics
Database Concepts (RDBMS, Tables, Keys)
SELECT, WHERE, ORDER BY
LIMIT, DISTINCT
CRUD Operations (INSERT, UPDATE, DELETE)
🔹 Intermediate
Aggregate Functions (SUM, COUNT, AVG, MIN, MAX)
GROUP BY & HAVING
JOINS (INNER, LEFT, RIGHT, FULL)
Subqueries
CASE Statements
🔹 Advanced
Window Functions (ROW_NUMBER, RANK, DENSE_RANK)
CTE (WITH Clause)
Indexes & Performance Tuning
Views & Stored Procedures
SQL for Analytics (KPIs, Funnel, Cohort Analysis)
Real-world SQL Interview Queries
🔹 Basics
Python Basics & Environment Setup
Variables & Data Types
Conditional Statements
Loops (for, while)
Functions & Modules
🔹 Intermediate
Lists, Tuples, Sets, Dictionaries
File Handling (CSV, Excel, JSON)
NumPy (Arrays & Calculations)
Pandas (Series, DataFrame, Data Cleaning)
🔹 Advanced
Data Wrangling & Transformation
Data Visualization (Matplotlib, Seaborn)
Exploratory Data Analysis (EDA)
Working with SQL using Python
Automation Scripts
Mini Analytics Projects.
🔹 Basics
Power BI Interface
Data Import (Excel, SQL, CSV)
Data Cleaning using Power Query
Basic Visualizations
🔹 Intermediate
Data Modeling
Relationships
DAX Basics (SUM, COUNT, CALCULATE)
Filters, Slicers & Drill Down
🔹 Advanced
Advanced DAX (Time Intelligence)
KPI Dashboards
Row-Level Security (RLS)
Performance Optimization
Power BI Service & Sharing
Real-Time Business Dashboards
🔹 Basics
ETL Concepts & Architecture
Data Sources (Flat Files, DB, APIs)
Data Warehousing Concepts
🔹 Intermediate
Data Extraction Techniques
Data Transformation Rules
Data Validation & Cleansing
Incremental Loads
🔹 Advanced
ETL Workflow Design
Error Handling & Logging
Scheduling & Automation
Performance Optimization
Real-world ETL Use Cases
🔹 Basics
Informatica Architecture
Repository & Services
Source Analyzer & Target Designer
Mapping Basics
🔹 Intermediate
Transformations (Filter, Aggregator, Lookup)
Joiner & Router
Workflow & Session Creation
Parameter & Variables
🔹 Advanced
Slowly Changing Dimensions (SCD)
Performance Tuning
Error Handling
Real-time ETL Scenarios
Production-level Projects
🔹 Basics
Types of Data
Mean, Median, Mode
Range, Variance, Standard Deviation
Data Distribution
🔹 Intermediate
Probability Concepts
Correlation & Covariance
Sampling Techniques
Hypothesis Testing (Z-test, T-test)
🔹 Advanced
Regression Analysis
ANOVA
Probability Distributions
Statistical Inference
Business Decision-Making using Statistics
Integrate data from multiple sources—databases, spreadsheets, applications, and cloud storage—into one unified platform. Analyze, visualize, and generate actionable insights to make informed business decisions efficiently
Students, freshers, and working professionals can join this course. No prior analytics or technical background is required.
Yes. The course starts from the basics and gradually covers tools and concepts needed for real-world data analysis.
All classes are conducted 100% online through live instructor-led sessions along with recorded videos for revision.
You will learn industry-relevant tools such as Excel, SQL, and basic data visualization tools used in real-world analytics.
Yes. The course includes hands-on assignments, real-world projects, and career guidance such as resume and interview preparation.