Business Analytics Training by Experts
Our Training Process

Business Analytics - Syllabus, Fees & Duration
Business Analytics Course Syllabus (60 Hours)
Mode: Live Online / Offline
Level:
Beginner to Intermediate
Certification: Yes
Placement Assistance: Included
Module 1: Introduction to Business Analytics (3 Hours)
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What is Business Analytics?
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Importance of data-driven decision making
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Types of analytics: Descriptive, Predictive, Prescriptive
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Analytics in different business functions (HR, Marketing, Finance)
Module 2: Statistics and Data Interpretation (6 Hours)
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Basic statistics: mean, median, mode, range, standard deviation
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Probability concepts
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Data distribution and sampling
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Hypothesis testing
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Use of Excel/SPSS for basic statistics
Module 3: Excel for Business Analytics (6 Hours)
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Advanced Excel functions: VLOOKUP, HLOOKUP, INDEX-MATCH
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PivotTables, PivotCharts
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Conditional formatting, What-If analysis
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Excel Dashboards for data visualization
Module 4: SQL for Data Extraction (6 Hours)
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Introduction to relational databases
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Writing queries: SELECT, WHERE, GROUP BY, JOIN
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Aggregation and filtering data
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Real-time data extraction exercises
Module 5: Data Visualization (6 Hours)
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Importance of visualization in analytics
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Introduction to Tableau / Power BI
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Charts, filters, dashboards
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Visual storytelling with data
Module 6: Predictive Analytics & Forecasting (9 Hours)
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Linear regression
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Logistic regression
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Time series forecasting
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Model evaluation techniques (R², RMSE)
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Use of tools: Excel, Python (optional introduction)
Module 7: Business Intelligence Concepts (5 Hours)
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ETL process overview
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BI systems in enterprises
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KPIs & performance metrics
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Case studies from domains: retail, finance, healthcare
Module 8: Real-Time Projects & Capstone (10 Hours)
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Project planning & requirement gathering
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Work on real datasets
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Build a dashboard/report
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Present findings to a panel
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Individual or group project submission
Module 9: Career Preparation & Certification (3 Hours)
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Resume building with analytics skills
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Mock interview & Q&A
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Job roles in business analytics
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Final test & certification issue
Tools Covered
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Microsoft Excel (Advanced)
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SQL (MySQL/PostgreSQL)
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Tableau / Power BI
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Optional: Basics of Python for analytics
This syllabus is not final and can be customized as per needs/updates