Business Analytics Program

Business Analytics is a live, instructor-led program designed to build strong data analysis and decision-making skills using modern analytics tools, statistical methods, and business intelligence platforms.

  • This 24-week structured journey includes real data analysis projects, 10+ hands-on workshops, 30+ real-world business use cases, and masterclasses with continuous mentorship.
  • You will work with industry tools such as Excel, SQL, Python, Power BI / Tableau, data visualization techniques, statistical analysis, and business intelligence frameworks.
  • The program also provides an option to pursue industry-recognized certifications including Microsoft Power BI Data Analyst, Google Data Analytics Professional Certificate, Tableau Data Analyst, and AWS Data Analytics.
Format Live Instructor-Led
Duration 24 Weeks | 180 Hours
Admission Deadline 30 April 2026
Case Studies & Projects 30+
Enroll Now

Key Program Takeaways

Build real business analytics capability through guided data labs, analytical workflows, and project-based learning designed for real business decision making.

Data Analysis

Excel, SQL, Data Cleaning, Data Exploration

Statistical Foundations

Probability, Hypothesis Testing, Statistical Modeling

Data Visualization

Power BI, Tableau, Dashboard Design

Programming for Analytics

Python, Pandas, Data Processing

Business Insights

Data Interpretation, KPI Analysis, Decision Support

Capstone Portfolio

End-to-End Business Analytics Project with Real Datasets

List of Modules in this Program

01

Data Analysis Foundations

  • Introduction to business analytics concepts and data-driven decision making.
  • Data cleaning, data preparation, and exploratory data analysis.
  • Working with spreadsheets and datasets using Excel.
02

SQL & Data Management

  • Understand relational databases and data structures.
  • Write SQL queries for data extraction and analysis.
  • Perform joins, aggregations, and data transformations.
03

Programming for Analytics

  • Learn Python for data analysis and automation.
  • Work with libraries such as Pandas and NumPy.
  • Process, manipulate, and analyse large datasets.
04

Data Visualisation & Business Intelligence

  • Build dashboards using Power BI or Tableau.
  • Create meaningful visualisations to communicate insights.
  • Understand storytelling with data for business decisions.
05

Business Insights & Decision Analytics

  • Analyse business metrics and KPIs.
  • Apply statistical techniques for trend analysis and forecasting.
  • Translate analytical insights into actionable business recommendations.
06

Capstone Project

  • Analyse real-world datasets to solve business problems.
  • Build dashboards and analytical reports.
  • Present a portfolio-ready business analytics project with actionable insights.

Hands-On Roadmap

Weeks 1–4

Data Foundations & Analytics Setup

  • Install Python, Jupyter Notebook, and analytics tools
  • Work with datasets using Excel and basic data cleaning techniques
  • Perform exploratory data analysis and basic visualisations
  • Hands-on: Sales Data Analysis, Customer Dataset Exploration
Weeks 5–8

Data Analysis with SQL

  • Write SQL queries for data retrieval and analysis
  • Perform joins, aggregations, filtering, and transformations
  • Work with relational database structures and data models
  • Hands-on: Retail Sales Analysis, Customer Segmentation Analysis
Weeks 9–12

Python for Data Analytics

  • Use Python, Pandas, and NumPy for data processing
  • Perform data cleaning, transformation, and analysis
  • Build automated scripts for data insights
  • Hands-on: Customer Churn Analysis, Financial Data Analysis
Weeks 13–16

Data Visualisation & Business Intelligence

  • Create visualisations using Power BI or Tableau
  • Build interactive dashboards and reports
  • Design KPI tracking systems for business decision making
  • Hands-on: Sales Performance Dashboard, Marketing Analytics Dashboard
Weeks 17–20

Business Analytics & Decision Modelling

  • Analyse key business metrics and performance indicators
  • Apply statistical techniques for trend analysis and forecasting
  • Interpret data insights to support business strategy
  • Hands-on: Demand Forecasting Model, Pricing Strategy Analysis
Weeks 21–24

Capstone Analytics Project

Deliver a real-world analytics solution using real datasets.
  • Design an end-to-end business analytics workflow
  • Analyse large datasets and build insight dashboards
  • Present actionable recommendations based on data
  • Capstone project options:
  • Customer Behaviour Analytics Platform
  • Retail Sales Intelligence Dashboard
  • Marketing Campaign Performance Analyser

Top Companies Hiring Business Analysts

Leading technology companies, consulting firms, financial institutions, and digital platforms actively hire business analysts and data analysts to drive decision making and strategic insights.

Amazon Google Microsoft Meta Apple IBM NVIDIA OpenAI McKinsey & Company BCG Bain & Company Deloitte Accenture Goldman Sachs JPMorgan Chase Morgan Stanley Flipkart Paytm Razorpay Swiggy Zomato PhonePe Infosys TCS Wipro Cognizant

Some of our exceptional outcomes with top companies.

Sai Arya

Sai Arya

₹65 LPA CTC

Nitish

Nitish

₹65 LPA CTC

Manurbhav A

Manurbhav A

₹21 LPA CTC

Aditya T

Aditya T

₹21 LPA CTC

Om Nakrani

Om Nakrani

₹65 LPA CTC

Yuvana T

Yuvana T

₹22 LPA CTC

Pardhiv A

Pardhiv A

₹21 LPA CTC

Phanindra B

Phanindra B

₹19 LPA CTC

Sai Gokul

Sai Gokul

₹65 LPA CTC

Abhigyan N

Abhigyan N

₹65 LPA CTC

Aryan T

Aryan T

₹21 LPA CTC

Devendra A

Devendra A

₹65 LPA CTC

Mahesh Reddy

Mahesh Reddy

₹65 LPA CTC

Prakul K

Prakul K

₹21 LPA CTC

Prashanth Reddy K

Prashanth K

₹65 LPA CTC

Rajeev T

Rajeev T

₹21 LPA CTC

Master Technologies

Core analytics, data processing, visualisation, and business intelligence tools used throughout the program.

Microsoft Excel
SQL logoSQL
Python logoPython
Pandas logoPandas
NumPy logoNumPy
Jupyter logoJupyter Notebook
Microsoft Power BI
Tableau
Google Analytics logoGoogle Analytics
Looker logoLooker Studio
Microsoft Azure Data Tools
AWS Data Analytics
Apache Spark logoApache Spark
R logoR Programming

Eligibility & Admission

A fully online, straightforward admissions process with advisor support throughout enrollment.

Who Can Apply Eligibility requirements for enrollment
  • Graduates in commerce, management, economics, mathematics, engineering, or related disciplines.
  • Final-year undergraduate students completing their degree before the program concludes.
  • Working professionals in business, operations, consulting, and analytics roles looking to strengthen decision-focused analytics capability.
Admission Process Simple, structured steps from application to enrollment
  1. Application Submission: Complete a short online application with academic/professional details.
  2. Profile Review: Selected applicants receive official admission confirmation.
  3. Seat Confirmation: Reserve your seat with INR 10,000.
  4. Fee Completion: Pay the remaining fee within 7 days of confirmation or before program start, whichever is earlier.
Learner Assistance Advisor support throughout your admission journey

Program advisors are available 7 days a week, 10:00 AM to 7:00 PM.

Email: hello@42learn.com

Phone: 080 4736 3406

Disclaimer: Outcome, career progression, and salary information is indicative only; individual results vary by background, experience, and market conditions. Certificates/credits are governed by the issuing institution's policies where external partners are involved.