Online course · 42% off today

Data Analytics

Learn Excel, statistics, SQL, Power BI and Python by solving real Indian business problems, from your first spreadsheet to job-ready projects

ACreated byAditya English 45 Lessons 19:14:23 Hours Certificate
01

About course

Every company in India now runs on data: quick-commerce apps, banks, retailers and startups all need people who can turn numbers into decisions. Data analytics is one of the most useful skills you can learn, whatever your degree.

This course takes you from zero to job-ready across six modules: analytics foundations, Excel and Google Sheets, statistics for analysts, SQL, Power BI and data storytelling, and Python with forecasting and customer segmentation. You also learn to use AI tools responsibly and what India’s DPDP Act means for analysts.

You learn by doing. You follow Meera, a fresher analyst at a fast-growing grocery delivery company, through real problems with real tools. Two hands-on live projects take you from messy raw data to clear recommendations, and every module comes with summary notes and a practical self-assessment task.

You get 43 lectures plus 2 live projects (about 19 hours of video), 6 module notes, 6 self-assessment tasks and practice datasets. You earn a certificate at 80% completion and a letter of recommendation at 100%.

02

Overview

What you'll learn

01

Turn vague business questions into clear, measurable analysis plans

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Clean messy data and build dashboards in Excel and Sheets

03

Use statistics and A/B tests to make confident decisions

04

Write SQL with joins, CTEs and window functions

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Build Power BI dashboards with data models and DAX measures

06

Analyse data with Python, pandas and clear charts

07

Forecast trends and segment customers using RFM and k-means

08

Present findings as short, answer-first stories for managers

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Curriculum

45 Lessons · 19:14:23 Hours

  • What is Data Analytics & Why It Matters in India00:19:16
  • The 4 Types of Analytics00:17:05
  • The Data Analytics Lifecycle00:16:53
  • Understanding Data: Types & Sources00:21:57
  • Thinking Like an Analyst: Questions, Metrics & KPIs00:21:55
  • The Analyst’s Toolkit & Career Roadmap in India 200:18:33
  • Swiftbasket orders sampleFile
  • Notes Foundations of Data AnalyticsNotes
  • Self Assessment Turn a Vague Request into an Analysis PlanTask
  • Spreadsheet Essentials: Tables, Sort, Filter & Formatting00:22:20
  • Must-Know Formulas: SUMIFS, COUNTIFS, IF, Text & Dates00:29:24
  • Lookups: VLOOKUP, XLOOKUP & INDEX-MATCH00:25:13
  • Cleaning Messy Data: Duplicates, TRIM & Power Query 200:36:01
  • Pivot Tables & Pivot Charts 200:30:20
  • Choosing the Right Chart 100:24:32
  • Project: SwiftBasket Sales Dashboard 200:31:12
  • Swiftbasket week1 rawFile
  • Notes Excel and Google Sheets for AnalysisNotes
  • Self Assessment Clean and Build a City Dashboard in ExcelTask
  • Mean, Median, Mode & Why Averages Lie 100:22:07
  • Probability basics for business decisions 100:23:45
  • Sampling, surveys & bias 100:22:21
  • Correlation vs Causation 100:23:12
  • Hypothesis Testing & A/B Tests 100:31:04
  • Spread: Range, Standard Deviation & Percentiles 100:24:06
  • Distributions, the Normal Curve & Outliers 100:24:59
  • Swiftbasket ab testFile
  • Swiftbasket orders juneFile
  • Notes Statistics for AnalystsNotes
  • Self Assessment Delivery Statistics and an AB Test VerdictTask
  • Databases & Why SQL 200:20:02
  • SELECT, WHERE, ORDER BY & LIMIT 100:25:14
  • GROUP BY & HAVING 100:25:01
  • JOINs: Combining Tables 100:29:58
  • Subqueries & CTEs 100:27:55
  • Window Functions 100:29:54
  • CASE, Dates & Text Functions 100:25:16
  • Project: Customer Analysis in SQL 100:29:56
  • SwiftbasketFile
  • Notes SQL for Data AnalysisNotes
  • Self Assessment Answer Business Questions with SQLTask
  • BI Tools Compared 500:20:24
  • Power Query 600:27:08
  • Star Schema 800:27:23
  • DAX 100:32:43
  • Dashboard Design 200:25:01
  • Storytelling 100:22:07
  • Project: City Ops Dashboard 100:30:12
  • Swiftbasket modelFile
  • Project qa queriesProject
  • Self Assessment Build a Store Manager Dashboard in Power BITask
  • Notes Power BI and Data StorytellingNotes
  • Python Basics 100:27:23
  • pandas 300:31:43
  • EDA & Charts 200:31:36
  • Regression & Forecasting 200:30:58
  • RFM & Clustering 200:28:53
  • AI for Analysts & the DPDP Act 100:26:23
  • Capstone 500:32:10
  • Portfolio & Interviews 300:25:52
  • Swiftbasket customersFile
  • Swiftbasket ordersFile
  • Notes Python AI and Advanced AnalyticsNotes
  • Self Assessment Python Analysis Payment Methods and CustomersTask
  • Live Project 1: Festive Sale Analysis (Python) 100:18:13
  • Live Project 2: Ride Cancellations in SQL 300:16:43
Video LecturesWatch & rewatch anytime
Best Interactive ContentQuizzes and activities that stick
GuidanceAsk doubts, get expert answers
04

Why learn Data Analytics?

01

Every industry in India now hires people with data skills

02

Analysts move into high-growth roles in product, business and AI

03

Data skills make your decisions faster and more convincing

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One skill set works across sales, marketing, finance and operations

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AI tools need people who can check and question numbers

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Strong portfolio projects help freshers stand out in interviews

07

You can start from any degree with no coding background

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Who this course is for:

01

College students planning a career in data analytics

02

Freshers preparing for data or MIS analyst roles

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Working professionals who want to make better data-driven decisions

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Excel users ready to move into SQL and Power BI

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Commerce, engineering and arts graduates switching to tech roles

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Founders and freelancers who want to understand their business numbers

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Anyone curious about turning data into decisions