Business Analytics Training in Pathanamthitta

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)

• What is Business Analytics?

• Importance of data-driven decision making

• Types of analytics: Descriptive, Predictive, Prescriptive

• Analytics in different business functions (HR, Marketing, Finance)

Module 2: Statistics and Data Interpretation (6 Hours)

• Basic statistics: mean, median, mode, range, standard deviation

• Probability concepts

• Data distribution and sampling

• Hypothesis testing

• Use of Excel/SPSS for basic statistics

Module 3: Excel for Business Analytics (6 Hours)

• Advanced Excel functions: VLOOKUP, HLOOKUP, INDEX-MATCH

• PivotTables, PivotCharts

• Conditional formatting, What-If analysis

• Excel Dashboards for data visualization

Module 4: SQL for Data Extraction (6 Hours)

• Introduction to relational databases

• Writing queries: SELECT, WHERE, GROUP BY, JOIN

• Aggregation and filtering data

• Real-time data extraction exercises

Module 5: Data Visualization (6 Hours)

• Importance of visualization in analytics

• Introduction to Tableau / Power BI

• Charts, filters, dashboards

• Visual storytelling with data

Module 6: Predictive Analytics & Forecasting (9 Hours)

• Linear regression

• Logistic regression

• Time series forecasting

• Model evaluation techniques (R², RMSE)

• Use of tools: Excel, Python (optional introduction)

Module 7: Business Intelligence Concepts (5 Hours)

• ETL process overview

• BI systems in enterprises

• KPIs & performance metrics

• Case studies from domains: retail, finance, healthcare

Module 8: Real-Time Projects & Capstone (10 Hours)

• Project planning & requirement gathering

• Work on real datasets

• Build a dashboard/report

• Present findings to a panel

• Individual or group project submission

Module 9: Career Preparation & Certification (3 Hours)

• Resume building with analytics skills

• Mock interview & Q&A

• Job roles in business analytics

• Final test & certification issue

Tools Covered

• Microsoft Excel (Advanced)

• SQL (MySQL/PostgreSQL)

• Tableau / Power BI

• Optional: Basics of Python for analytics