Build Career with Our Comprehensive Business Analytics Course
Skills You Will Learn
- Analyze and interpret business data using Excel, SQL, and visualization tools
- Clean, prepare, and manage data for decision-making
- Apply statistical methods and basic machine learning models
- Build interactive dashboards and visual stories with data
- Solve real-world problems across marketing, finance, HR, and operations
- Communicate insights and drive data-backed business strategies
Bonus / Career Focused Add-ons
- Resume & Portfolio Building
- Mock Interviews & Case Study Practice
- Job Placement Support / Internship Assistance
- Certification
Ready to take your first step towards a rewarding career?
Contact WingSlide Technologies today to learn more about our programs and discuss how we can help you achieve your goals!
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Data Science Course Curriculum
- What is Business Analytics?
- The Role of Analytics in Business Strategy
- Types of Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
- Business Intelligence vs Business Analytics
- Real-World Applications across Industries
- Data Lifecycle & Data-Driven Decision Making
- Structured vs Unstructured Data
- Data Sources: Internal & External
- Data Cleaning & Preparation
- Introduction to Data Warehousing
A. Excel for Business Analytics
- Advanced Excel Functions
- Pivot Tables, Charts, Conditional Formatting
- Dashboards & Reporting Automation
B. SQL for Data Querying
- Basic to Advanced SQL Commands
- Joins, Subqueries, Aggregations
- Hands-on Practice with Business Datasets
C. Visualization Tools
- Tableau or Power BI
o Data Import, Cleaning & Transformation
o Creating Dashboards
o Storytelling with Visuals
- Descriptive & Inferential Statistics
- Probability & Distributions
- Hypothesis Testing
- Correlation & Regression Analysis
- A/B Testing and Experiment Design
- Introduction to Predictive Modeling
- Supervised vs Unsupervised Learning
- Linear & Logistic Regression
- Clustering Techniques (K-means)
- Forecasting Models (Time Series Basics)
- Model Evaluation: Confusion Matrix, ROC-AUC
- Marketing Analytics: Campaign Optimization, Customer Segmentation
- Sales Analytics: Pipeline Analysis, Sales Forecasting
- Finance Analytics: Risk, ROI, Budgeting
- HR Analytics: Attrition, Workforce Planning
- Operations/Supply Chain Analytics: Inventory, Demand Planning
- Communicating Insights with Impact
- Building Executive Dashboards
- Data-Backed Business Strategy
- Presenting to Stakeholders
- Data Ethics & Privacy Considerations
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Choose a Business Problem
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Work with Real or Simulated Datasets
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End-to-End Analytics Workflow
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Final Presentation & Review
