Data Analysis with Excel and mi

Course Outline: Excel for Data Analysis

Module 1: Introduction to Excel

• Overview of Excel interface
• Key features and uses in data analysis
• Understanding workbooks, worksheets, cells, rows, and columns

Module 2: Data Entry and Formatting

• Best practices for data entry
• Text, date, and number formats
• Conditional formatting to highlight data patterns

Module 3: Essential Functions

• Introduction to functions and formulas
• Common functions: SUM, AVERAGE, COUNT, MIN, MAX
• Logical functions: IF, AND, OR

Module 4: Data Manipulation Techniques

• Sorting and filtering data
• Using Data Validation for data consistency
• Removing duplicates and cleaning data

Module 5: Data Analysis Tools

• Introduction to PivotTables
• Creating and customizing PivotCharts
• Using slicers to filter data dynamically

Module 6: Advanced Excel Functions

• Lookup functions: VLOOKUP, HLOOKUP, INDEX, MATCH
• Text functions: CONCATENATE, LEFT, RIGHT, MID
• Date and time functions

Module 7: Introduction to Power Query Editor

• Analysis methods (Merge / Append / GroupBy)
• Query Editor Functions

Module 8: Integrating Excel with Other Tools

• Using Excel with Power BI for enhanced data visualization
• Exporting and importing data to/from Excel
• Excel and its integration with other Microsoft Office tools

Module 9: Creating Interactive Dashboards

• Design principles for dashboards
• Building interactive controls using form controls
• Dashboard reporting and analysis

Module 10: Problem Solving and Case Studies

• Real-world case studies of Excel in data analysis
• Problem-solving sessions to apply Excel skills
• Review and Q&A sessions to consolidate learning

Module 11: Introduction to Power BI

• Overview of Power BI and its components
• Connecting Excel data and other sources to Power BI
• Transforming data using Power BI Desktop

Module 12: Data Visualization with Power BI

• Creating and customizing visualizations
• Using Power BI to create interactive reports
• Best practices for dashboard design

Module 13: Publishing and Sharing in Power BI

• Publishing reports and dashboards
• Sharing and collaboration features in Power BI
• Role Level Security settings and managing access.

Module 14: Advanced Power BI Techniques

• DAX basics for calculated columns and measures
• Advanced data modeling in Power BI

Module 15: Integrating Excel and Power BI

• Seamless integration techniques between Excel and Power BI
• Using Excel as a data source for Power BI
• Excel and Power BI: Best practices for a combined approach

Module 16: Real-world Applications and Case Studies

• Detailed case studies showing the use of Excel and Power BI together
• Industry-specific scenarios and solutions
• Interactive problem-solving sessions with real datasets