Data Analytics & Visualization Bootcamp Using Microsoft Excel & Power BI
Data Analytics
COURSE OVERVIEW
The Data Analytics & Visualization Bootcamp using Microsoft Excel and Power BI is a comprehensive, hands-on program designed to equip participants with the essential skills to transform raw data into meaningful insights and compelling visual stories.
Over the course of three days, participants will build a strong foundation in data analytics—starting from understanding data structures and preparing clean datasets, to performing analysis using Excel and advancing into modern business intelligence practices with Power BI. The program emphasizes practical application, enabling learners to work with real-world scenarios, apply analytical techniques, and create interactive dashboards.
By the end of the training, participants will be able to confidently analyze data, design impactful visualizations, and communicate insights effectively to support data-driven decision-making within their organizations.
Duration: 3 days / 24 hours
Delivery Method: Classroom-based, Virtual Instructor Led Training
COURSE OBJECTIVES
By the end of this course, participants will be able to:
· Understand Data Fundamentals
· Prepare and Clean Data for Analysis
· Perform Data Analysis Using Excel
· Apply Data Visualization Principles
· Utilize Power BI for Data Transformation and Modeling
· Develop Analytical Models Using DAX
· Build Interactive Dashboards in Power BI
· Interpret Data and Generate Insights
· Communicate Insights Through Data Storytelling
COURSE OUTLINE
MODULE 1: Understanding Data & Data Formats
· Objective: Build a strong data foundation
· Topics:
o What are Data Analytics?
§ Data Driven Decision Making
§ Data Literacy
§ Categories of Data Analytics
o Data Structures and Modeling
o Data Analytics Process and Life Cycle
MODULE 2: Data Preparation & Cleaning
· Objective: Prepare clean, analysis-ready data
· Topics:
o Data Preparation
§ Quality Assurance
§ Data Profiling Method
§ Extract Transform and Load
o Application of Excel Data Cleaning Tools
MODULE 3: Data Analysis Fundamentals
· Objective: Develop analytical thinking
· Topics:
o Logical functions:
§ IF, nested IF
o Lookup functions:
§ VLOOKUP / XLOOKUP / INDEX-MATCH
o Pivot Tables for analysis
MODULE 4: Data Visualization Principles
· Objective: Learn how to present data effectively
· Topics:
o Principles of effective visualization:
§ Clarity
§ Simplicity
§ Relevance
o Choosing the right chart:
§ Bar, line, pie, scatter
o Data storytelling fundamentals
o Build interactive dashboards
o Interactivity using slicers and timelines
MODULE 5: Extract Transform and Load using Power BI
· Objective: Transition to modern BI tools
· Topics:
o Overview of Power BI ecosystem
o Loading data into Power BI
o Data Shaping using Power Query
MODULE 6: Data Modeling Concepts using Power BI
· Objective: Understanding Data Model architecture
· Topics:
o Basics of database normalization
o Fact tables vs. Dimension (Lookup) tables
o Relationship vs. Merge: when to use each approach
o Star Schema and Snowflake Schema overview
MODULE 7: Data Analysis Expressions in Power BI
· Objective: Formulas in Power BI
· Topics:
o Introduction to Calculated Columns and Measures
o Creating explicit vs. implicit measures
o Understanding DAX syntax and operators
o Common DAX function categories
o Date and Time functions
o Logical functions
o Text functions
MODULE 8: Data Visualization in Power BI
· Objective: Create professional dashboards
· Topics:
o Creating visuals:
§ Cards, charts, tables, maps
o Using filters and slicers
o Drill-down and interactivity
MODULE 9: Interpreting Data & Generating Insights
· Objective: Understand and explain results clearly
· Topics:
o Turning data into insights:
§ Trends
§ Patterns
§ Outliers
o Common mistakes in data interpretation
o KPI identification and analysis
MODULE 10: Data Storytelling & Presentation
· Objective: Communicate insights to stakeholders
· Topics:
o Structuring a data story:
§ Problem → Analysis → Insight → Recommendation
o Presentation techniques for stakeholders
o Creating executive dashboards
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