BUSINESS ANALYST
Description
They act as a bridge between stakeholders and technical teams, ensuring that requirements are clearly defined and efficiently implemented.
What You will Learn
During this program, you will learn how to build intelligent systems capable of analyzing data, recognizing patterns, and making accurate predictions. .
After this training, you will be able to:
Course Syllabus
Business ANALYST
- What is Business Analytics?
- Types of Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
- Importance of Data in Business Decision-Making
- Business Analytics Life Cycle
- Case Studies in Retail, Healthcare, Finance
- Descriptive Statistics
- Inferential Statistics
- Hypothesis Testing
- Correlation vs Causation
- Sampling Techniques
- Excel Basics & Functions (VLOOKUP, Pivot Tables, IF, SUMIFS)
- Dashboards & Reporting
- Data Cleaning & Analysis
- Solver, What-If Analysis, Scenario Planning
- Python Basics
- Pandas, Numpy for Data Manipulation
- Matplotlib, Seaborn for Visualization
- Real-life data problem solving using Python
- Connecting Data Sources
- Creating Dashboards and Reports
- Interactive Charts and KPIs
- Sharing Business Insights
- Understanding Business KPIs
- Market Basket Analysis
- Customer Segmentation
- Sales Trend Forecasting
- Profitability Analysis
- Linear & Logistic Regression
- Forecasting Models
- Customer Churn Prediction
- Decision Trees
- Retail: Sales performance, Inventory optimization
- Finance: Loan default prediction, Risk scoring
- Marketing: Campaign effectiveness, Customer profiling
- HR: Attrition analysis, Performance analytics
- Excel / Google Sheets
- Python (Jupyter Notebook)
- Power BI or Tableau
- SQL (Basics for querying business data)
- Google Data Studio (Optional)
- Sales Dashboard & Insights Report
- Customer Segmentation using Clustering
- Financial Risk Model using Regression
- Employee Attrition Predictor
- E-commerce Product Performance Dashboard
Hook up Course
- StartsThis Week
- Duration6 Months, 6 hrs / week