Course Description: This workshop training is designed for individuals who want to acquire essential skills in data visualization and business intelligence using Microsoft Excel. Participants will learn how to import, transform, clean, analyze, and visualize data to make informed business decisions.

Course Duration: 2 weeks

Prerequisites:

• Basic computer skills
• Familiarity with Microsoft Office applications
• Has Zoom video conferencing tool
• Willing to learn business analytics

Course Objectives

At the end of the workshop training, participants will be able to:

• Write formulas in Excel.
• Transform and clean data to create a data model.
• Create tables, charts, or graphs (pivots) that provide visual representations of the data.
• Create reports that are collections of visuals on one or more Excel sheets.
• Share reports with others.

Course Outline:

Session 1: Introduction to Excel for Data Analytics

• Understanding the role of Excel in data analysis
• Exploring Excel’s interface and key functionalities for data analysis
• Importing and organizing data in Excel
• Cleaning and preparing data for analysis
• Applying data formatting techniques for improved analysis

Session 2: Excel Formulas and Functions for Data Analysis

• Understanding Excel formulas and cell references
• Performing basic calculations using arithmetic and logical functions
• Working with text functions for data manipulation
• Utilizing statistical functions for data summarization
• Applying lookup and reference functions for data mapping

Session 3: Data Analysis with PivotTables and Charts

• Introduction to PivotTables and their role in data analysis
• Creating pivot tables to summarize and analyze data
• Using PivotTable slicers and filters for data exploration
• Visualizing data with Excel charts and graphs
• Customizing charts for effective data representation

Session 4: Advanced Data Analysis Techniques

• Applying conditional formatting to highlight data patterns
• Using data validation for data integrity and consistency
• Working with advanced filtering and sorting techniques
• Utilizing Excel’s database functions for data analysis
• Introduction to What-If analysis and Goal-Seeking

Session 5: Data Visualization and Automation

• Creating advanced charts and graphs for data visualization and excel dashboards
• Automating repetitive tasks using Excel macros

Workshop Packages: Microsoft Office suite, Reading Materials, Session videos, after training services, before training services

Course Description: This course provides a comprehensive introduction to data analysis and business analytics using Microsoft Excel and Power BI. Students will learn how to manipulate, visualize, and analyze data to make informed business decisions.

Course Duration: 2 weeks

Prerequisites:

• Basic computer skills
• Familiarity with Microsoft Office applications
• Has Zoom video conferencing tool
• Willing to learn business analytics

Course Outline:

Session 1: Introduction to Data and Business Analytics

• Understanding the role of data analytics in business decision-making
• Introduction to Excel and Power BI as analytics tools
• Overview of the course structure and objectives

Session 2: Data Manipulation and Preparation in Excel

• Importing and cleaning data in Excel
• Data transformation techniques (sorting, filtering, etc.)
• Dealing with missing data and errors

Session 3: Basic Data Analysis in Excel

• Descriptive statistics (mean, median, mode, standard deviation, etc.)
• Creating and interpreting histograms and frequency distributions
• Using pivot tables for summarizing and exploring data

Session 4: Data Visualization in Excel

• Creating bar charts, line charts, and pie charts
• Using Excel’s chart customization options
• Best practices for effective data visualization

Session 5: Advanced Data Analysis in Excel

• Correlation and regression analysis
• Time series analysis using Excel
• Scenario analysis and goal seeking

Session 6: Introduction to Power BI

• Understanding Power BI’s role in data analytics
• Power BI interface and components
• Importing data from various sources into Power BI

Session 7: Data Transformation and Modeling in Power BI

• Data shaping and cleaning in Power BI’s Power Query
• Creating relationships between data tables
• Introduction to DAX (Data Analysis Expressions) for calculations

Session 8: Data Visualization and Dashboard Creation in Power BI

• Design principles for effective Power BI dashboards
• Creating interactive visualizations (tables, charts, maps, etc.)
• Building a comprehensive dashboard in Power BI

Session 9: Advanced Analytics in Power BI

• Time intelligence functions in DAX
• Measures and calculated columns in Power BI
• Applying filters and slicers for dynamic analytics

Session 10: Business Decision-Making and Presentation

• Interpreting analytics results for business insights
• Communicating findings effectively to stakeholders
• Case studies and real-world applications of Excel and Power BI in business analytics

Premium Packages: Template files, Session videos, after training services, before training services