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Learn. Practise. Apply.

Business Analytics
Course at LearnAI

Explore business analytics through a 14-module curriculum and 5 project topics. Connect business questions with analysis of sales, customers, revenue, costs and operations. Build Power BI, SQL, Python, statistics and ETL skills, then explore requirements analysis, business KPIs, forecasting and decision support.

Online India & worldwideClassroom Learn at a branchHybrid Online + classroom
Classroom: Dilsukhnagar, Hyderabad
Online: USA, Canada, UK, Australia, New Zealand and Germany

Ask about your preferred mode, branch and upcoming batch.

Illustration of data analysis and dashboards

Upcoming Business Analytics batches

Contact LearnAI for the next batch. Ask on WhatsApp.

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14 modulesFoundations to applied learning
5 project topicsDomain practice and a capstone
3 training modesOnline · Classroom · Hybrid
Talk to LearnAIFees, duration and batch details
Understand the programme

Learn Business Analytics through practical study.

Connect business questions with analysis of sales, customers, revenue, costs and operations. Build Power BI, SQL, Python, statistics and ETL skills, then explore requirements analysis, business KPIs, forecasting and decision support.

Your willingness to learn comes first

Who can join?

Build new skills or upgrade your technology knowledge. LearnAI welcomes students pursuing a degree, graduates, working professionals and learners from relevant domains.

Basic computer knowledge

Basic computer knowledge is recommended to help you participate in practical learning.

Students and professionals

Join while pursuing a degree, after graduation, or to develop skills for your relevant domain.

No prior technology knowledge required

You can begin without previous knowledge of the course technology. Bring your interest and willingness to learn.

No age limit

Learners of all ages are welcome. Learners under 18 should enrol with a parent or guardian’s consent.

What the curriculum develops

Skills you will practise.

Frame business questions

Study requirements, stakeholders and process analysis.

Build business dashboards

Use Power BI to report KPIs and performance.

Prepare analytical datasets

Connect SQL, Python, statistics and ETL.

Analyse commercial performance

Explore sales, customers, costs and profitability.

Study operations and forecasting

Analyse supply chains, demand and scenarios.

Present decision-support insights

Practise scorecards, reporting and data storytelling.

The complete learning path

Business Analytics course curriculum.

Explore all 14 modules. Open a module to view its topics, and discuss the delivery plan for your batch.

01 / Analytics tools and foundations

MODULE 01Power BI & Data Visualization
  • Business Intelligence Fundamentals
  • Power BI Desktop
  • Data Connections
  • Power Query
  • Data Transformation
  • Data Modeling
  • Table Relationships
  • DAX Fundamentals
  • Calculated Columns & Measures
  • Interactive Dashboards
  • Drill-Through Reports
  • Publishing & Sharing
MODULE 02SQL for Data Analytics
  • Database Fundamentals
  • Relational Databases
  • SQL Queries
  • Filtering & Sorting
  • Aggregate Functions
  • Group By & Having
  • Joins
  • Subqueries
  • Common Table Expressions
  • Window Functions
  • Views
  • Data Extraction
  • SQL Reporting
MODULE 03Python for Data Analytics
  • Python Fundamentals
  • Variables & Data Types
  • Conditions & Loops
  • Functions
  • Data Structures
  • File Handling
  • NumPy
  • Pandas
  • Matplotlib
  • Seaborn
  • DataFrames
  • Data Manipulation
  • Data Visualization
MODULE 04Statistics for Data Analytics
  • Descriptive Statistics
  • Mean, Median & Mode
  • Variance & Standard Deviation
  • Probability Fundamentals
  • Probability Distributions
  • Sampling Techniques
  • Correlation Analysis
  • Hypothesis Testing
  • Confidence Intervals
  • Regression Fundamentals
  • Statistical Interpretation
MODULE 05Data Processing & ETL
  • Data Collection
  • Data Investigation
  • Data Profiling
  • Data Quality Assessment
  • Missing Value Treatment
  • Duplicate Handling
  • Outlier Detection
  • Data Cleaning
  • Data Wrangling
  • Data Transformation
  • Data Integration
  • Feature Engineering
  • ETL Pipelines
  • Data Validation

02 / Domain foundations

MODULE 06Business Analytics Fundamentals
  • Business Analytics Overview
  • Types of Business Analytics
  • Business Data Sources
  • Business Functions Overview
  • Key Business Metrics
  • KPI Fundamentals
  • Reporting vs Analytics
  • Analytics Lifecycle
  • Business Use Cases
  • Decision-Making Concepts
MODULE 07Business Processes & Requirements Analysis
  • Business Process Basics
  • Requirement Gathering
  • Stakeholder Analysis
  • Process Mapping
  • Workflow Analysis
  • Problem Identification
  • Gap Analysis
  • Functional Requirements
  • Business Documentation
  • Solution Framing
MODULE 08Business Performance & KPI Analytics
  • Revenue KPIs
  • Cost KPIs
  • Profitability KPIs
  • Sales KPIs
  • Customer KPIs
  • Operations KPIs
  • Trend Analysis
  • Variance Analysis
  • Performance Scorecards
  • Business KPI Dashboards

03 / Advanced analytics

MODULE 09Sales & Revenue Analytics
  • Sales Trend Analysis
  • Revenue Analysis
  • Product Performance
  • Region-Wise Sales
  • Channel Performance
  • Target vs Achievement
  • Pricing Analysis
  • Revenue Dashboard
MODULE 10Customer & Marketing Analytics
  • Customer Segmentation
  • Customer Acquisition Analysis
  • Retention Analysis
  • Churn Indicators
  • Campaign Performance
  • Conversion Analysis
  • Customer Lifetime Value
  • Marketing Dashboard
MODULE 11Financial & Profitability Analytics
  • Cost Analysis
  • Margin Analysis
  • Profit & Loss Analysis
  • Budget vs Actual
  • Expense Analysis
  • Profitability Trends
  • Department-wise Profitability
  • Financial Dashboard
MODULE 12Operations & Supply Chain Analytics
  • Inventory Analysis
  • Order Fulfillment
  • Procurement Analysis
  • Supply Chain KPIs
  • Process Efficiency
  • Lead Time Analysis
  • Vendor Performance
  • Operations Dashboard
MODULE 13Business Forecasting & Predictive Analytics
  • Forecasting Basics
  • Demand Forecasting
  • Revenue Prediction
  • Trend Forecasting
  • Scenario Analysis
  • Risk Indicators
  • Predictive Model Evaluation
  • Forecast Dashboard

04 / Project work

MODULE 14Real-World Business Analytics Projects
  • Business Performance Dashboard
  • Sales & Revenue Analytics
  • Customer & Marketing Analytics
  • Operations Analytics Dashboard
  • Business Analytics Capstone
Your technical toolkit

Tools and technologies in the curriculum.

Power BISQLPythonPandasNumPyDAXPower QueryScikit-learnMatplotlibSeaborn
Apply the learning

5 Business Analytics project topics.

Ask about the learning datasets, project selection, guidance and delivery for your batch.

Business Performance Dashboard

Explore business KPIs, trends and executive insights.

Sales & Revenue Analytics

Analyse sales performance, regions and targets.

Customer & Marketing Analytics

Explore segmentation, campaigns, retention and churn.

Operations Analytics Dashboard

Analyse inventory, efficiency and supply chain performance.

Business Analytics Capstone

Combine SQL, Python, ETL and Power BI in a business project.

Choose how you learn

Business Analytics training near you and online.

Online training

Join from India, the USA, Canada, UK, Australia, New Zealand and Germany. Confirm your batch and time-zone schedule.

Classroom training

LearnAI Classroom: Dilsukhnagar, Hyderabad. Confirm this course, batch and exact address before visiting.

Hybrid training

Discuss combined online and classroom participation at your preferred branch. Confirm the delivery arrangements for your batch.

Fees, duration, prerequisites and upcoming batches are available on enquiry.

Learn with professional guidance

Experienced trainers. Practical knowledge.

Working professionalsIndustry knowledge connected to practical learning
Relevant expertiseSubject knowledge and practical experience
Experienced trainersGuidance for concepts, tasks and project work

LearnAI’s core trainer team is supported by additional and part-time trainers. Trainer assignments and relevant experience vary by course, branch, training mode and batch availability. Experience figures refer to professional experience, not years of teaching.

For your batch’s trainer details, contact LearnAI.
Plan your next step

Career directions and learning support.

Roles to explore

Career directions listed in the brochure. Entry requirements depend on the role, employer and your background.

Business AnalystData AnalystBI AnalystOperations AnalystSales AnalystMarketing AnalystFinancial AnalystMIS AnalystReporting AnalystStrategy AnalystJunior Business AnalystBusiness Analytics Consultant

Discuss career assistance

Ask about resume preparation, ATS compatibility, job-description matching, cover letters, interview practice, job discovery and application support. Confirm current availability and what is included with your enrolment.

Enrolled students receive access details for their applicable LearnAI learning and career assistance applications.

Ask About Career Assistance ↗
Before you enrol

Business Analytics course questions.

Review the curriculum and ask for current delivery and enrolment details.

What does the LearnAI Business Analytics Course cover?

The curriculum has 14 modules. Connect business questions with analysis of sales, customers, revenue, costs and operations. Build Power BI, SQL, Python, statistics and ETL skills, then explore requirements analysis, business KPIs, forecasting and decision support.

Which tools and technologies are included?

The curriculum lists Power BI, SQL, Python, Pandas, NumPy, DAX, Power Query, Scikit-learn, Matplotlib, Seaborn. Ask LearnAI about software setup and any tool accounts required for your batch.

Which projects are listed?

Project topics include Business Performance Dashboard, Sales & Revenue Analytics, Customer & Marketing Analytics, Operations Analytics Dashboard, Business Analytics Capstone. Confirm datasets, guidance and project selection with LearnAI.

Are Power BI, SQL and Python included?

Yes. The first five modules cover Power BI, SQL, Python, statistics and data processing with ETL. These foundations are followed by business analytics specialization topics.

Can I join online from outside India?

Yes. LearnAI offers online classes for learners in India and abroad, including the USA, Canada, UK, Australia, New Zealand and Germany. Ask about Business Analytics batch availability and your time-zone schedule.

Where can I attend classroom or hybrid training?

LearnAI is in Dilsukhnagar, Hyderabad. Confirm Business Analytics availability, delivery mode and the exact address before visiting.

What are the fees, duration and prerequisites?

Contact LearnAI on WhatsApp at +91 93900 23585 for current fees, duration, prerequisites and batch details. Share your background and preferred training mode.

What career assistance can I ask about?

Discuss resume support, job-description matching, interview practice, job discovery and application assistance. Confirm current availability and enrolment terms with LearnAI.

Discuss your learning goals

Ready to explore Business Analytics?

Share your background, preferred training mode, branch or country, and time zone.

Mon–Fri · 9 AM–7 PM IST · +91 93900 23585 · info@learnai.co.in

Chat with LearnAI ↗

What your course includes

Course charges cover

  • Live classes with a trainer
  • Doubt sessions
  • Assignments
  • Exams
  • Recordings
  • Portal access
  • Project assignment
  • Project explanation

Complimentary services

  • Resume writing
  • Mock interviews
  • Interview preparation
  • 100% job assistance

Job assistance does not guarantee a job offer.

Learner experiences

Google reviews by students

Feedback related to this programme · Editorial summaries, with original Google sources.

★★★★★

AK AK

Review summary: Values Business Analytics reporting skills, practical learning and internship experience.

Read on Google
★★★★★

KASULA SRIRAM GOUD

Review summary: Values clear explanations and increased confidence using data and business analysis.

Read on Google
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