Learners will be able to Understand the scope and importance of business analytics Differentiate between types of analytics and their applications Recognize how data-driven decisions improve business outcomes Analyze simple case scenarios from a data perspective

Learners will be able to Use advanced formulas for data lookup and logic building Format and clean data efficiently for better insights Present data visually through impactful charts and dashboards

• Excel interface, shortcuts, formatting
• Formulas: IF, VLOOKUP, INDEX-MATCH
• Conditional formatting, data validation
• Charts: Line, Bar, Pie, Combo

Learners will be able to Analyze large datasets using Pivot Tables and visualizations Apply What-If tools to forecast and test business scenarios Build dynamic dashboards for executive-level insights Create user-friendly, visually appealing Excel reports

• Pivot Tables and Pivot Charts
• Filters, slicers, calculated fields
• What-If Analysis (Goal Seek, Scenario Manager)
• Excel Dashboards with live data

Learners will be able to Clean and prepare raw data for analysis using Excel & Power Query Understand the importance of accurate data preparation in analytics Navigate Power BI and import datasets Create simple, insightful visualizations to explore trends and patterns

• Handling missing data, duplicates, outliers
• Data preparation using Excel & Power Query
• Getting started with Power BI
• Importing and visualizing Excel data

Learners will be able to Summarize and describe data sets using statistical measures Apply appropriate statistical tests based on business problems Interpret results to support or refute business hypotheses Make data-driven recommendations with statistical confidence

• Descriptive stats: mean, median, mode, SD, variance
• Data distributions & sampling techniques
• Histogram, boxplot, correlation

Learners will be able to Summarize and describe data sets using statistical measures Apply appropriate statistical tests based on business problems Interpret results to support or refute business hypotheses Make data-driven recommendations with statistical confidence

• Hypothesis testing (Z-test, T-test)
• ANOVA, Chi-square test
• Confidence intervals & p-values
• Practical business scenarios

Learners will be able to Build professional, interactive dashboards in Power BI Use visualizations to uncover and present key business insights Apply DAX functions to enhance data analysis and reporting Create reports that support strategic decisions and stakeholder presentations

• Visuals: bar, column, pie, card, map, KPI
• Slicers, filters, and drill-downs
• Interactive dashboards & design best practices
• DAX basics: SUM, AVERAGE, IF, CALCULATE

Learners will be able to Build and interpret regression models to predict outcomes Use forecasting methods to anticipate future performance Apply basic clustering to group customer or product behavior Translate predictive insights into actionable business strategies

• Regression analysis: Linear & Multiple
• Forecasting techniques
• Clustering basics (K-Means)
• Real-life business prediction cases

Learners will be able to Execute an end-to-end data analytics project independently Integrate skills across Excel, SQL, Power BI, and statistics Present analytical findings in a clear and impactful way Demonstrate readiness for roles such as Business/Data Analyst

• Choose a business scenario (Sales, HR, Finance, Marketing)
• Clean and analyze data using Excel/SQL
• Build visuals in Power BI
• Interpret and present findings

This program enables learners to Write achievement-focused resumes that pass ATS systems and impress hiring managers Build professional case studies that reflect real-world impact and skills alignment Practice interviews across formats, with feedback on clarity, confidence, and communication Articulate career stories and goals effectively for different roles and industries Gain confidence and clarity in navigating the job application and selection process

• Business Analytics case studies (Amazon, Uber, etc.)
• Resume building for analyst roles
• Role-specific interview questions
• Mock interviews and feedback

This program enables learners to Write achievement-focused resumes that pass ATS systems and impress hiring managers Build professional case studies that reflect real-world impact and skills alignment Practice interviews across formats, with feedback on clarity, confidence, and communication Articulate career stories and goals effectively for different roles and industries Gain confidence and clarity in navigating the job application and selection process

• Excel (Advanced)
• SQL (MySQL/PostgreSQL)
• Power BI
• Basic Statistics
• DAX & Power Query