About This Program
PROGRAM OVERVIEW
Data Analytics is the science of examining raw data to uncover patterns, draw conclusions, and support business decision-making. It bridges the gap between data and strategy through Exploratory Analysis, Business Intelligence, Dashboard Reporting, and Predictive Insights.
Ranked among the fastest-growing careers globally, data analytics professionals are in demand across every industry — from finance and healthcare to e-commerce and marketing. This track delivers hands-on mastery of Excel, SQL, Power BI, Tableau, and Python for Analytics, preparing you to drive measurable impact from day one.
Skills & Outcomes
WHAT YOU'LL LEARN
Excel & Advanced Formulas
Master pivot tables, VLOOKUP, Power Query, and advanced Excel techniques used daily by business analysts worldwide.
SQL for Data Analysis
Write complex queries, joins, subqueries, and aggregations to extract meaningful insights from relational databases.
Power BI & Tableau
Build interactive dashboards and stunning visual reports that communicate data stories clearly to stakeholders.
Python for Analytics
Use Pandas, NumPy, and Matplotlib to automate data cleaning, perform deep analysis, and build analytical scripts.
Statistical Analysis
Apply descriptive statistics, hypothesis testing, and regression analysis to validate business decisions with confidence.
Business Intelligence & Strategy
Translate analytics findings into actionable business recommendations through real-world case studies and capstone projects.
Course Structure
CURRICULUM
01.
Foundations of Data Analytics
Introduction to Data Analytics & the Analytics Lifecycle
Excel Fundamentals, Pivot Tables & Power Query
Data Types, Structures & Collection Methods
Descriptive Statistics & Data Distributions
Data Cleaning & Quality Assurance Techniques
02.
SQL, Python & Core Analytics
SQL Queries, Joins, Aggregations & Subqueries
Python with Pandas & NumPy for Data Analysis
Exploratory Data Analysis (EDA) Techniques
Data Visualization with Matplotlib & Seaborn
Hypothesis Testing & Statistical Inference
03.
Business Intelligence & Dashboards
Power BI — Data Modeling, DAX & Interactive Reports
Tableau — Charts, Filters & Story Dashboards
KPI Design & Executive Reporting Best Practices
Google Analytics & Marketing Data Analysis
A/B Testing & Conversion Rate Optimization
04.
Capstone Project & Placement Prep
End-to-End Analytics Project (Real Business Dataset)
Dashboard Presentation to Simulated Stakeholders
Mock Interview Sessions (Technical + Case Study)
Resume & LinkedIn Profile Optimization
Placement Drive & Industry Referrals
ENROLLMENT OPEN
Limited seats left for the upcoming batch.
Starts On
June 20, 2026
Format
Live Online
Duration
10 Weeks
Batch Size
30 Students Max
Language
English
Level
Beginner to Pro
Applications close in 5 days. No upfront payment required.
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