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Data Analytics Course Microsoft Excel and Power BI

Data Analytics Course Microsoft Excel and Power BI

Enhance your data analysis skills with our comprehensive course on Microsoft Excel and Power BI.

  • Category Data Analytics
Data Analytics Course Microsoft Excel and Power BI

What you'll learn

  • Master advanced formulas like INDEX-MATCH and dynamic arrays. Automate data cleaning and transformation with Power Query. Build interactive dashboards and models using Power Pivot and DAX.
  • Power BI Expertise: Import, clean, and model data efficiently. Create interactive reports with advanced DAX calculations. Publish and share Power BI dashboards securely.
  • End-to-End Analytics Workflow: Integrate Excel and Power BI for seamless data analysis. Work on real-world projects and case studies.
  • Industry Applications: Use analytics to optimize decisions in finance, sales, operations, and more. Explore AI tools for trend identification and predictive insights.

Course Syllabus

Data Cleaning in Power BI
  • a:4:{i:0;s:62:"Understanding Power Query for Data Cleaning and Transformation";i:1;s:21:"Handling Missing Data";i:2;s:26:"Duplicates and Data Types";i:3;s:30:"Combining and Merging Datasets";}
AI Tools in Power BI
  • a:6:{i:0;s:33:"Q&A (Natural Language Processing)";i:1;s:22:"Key Influencers Visual";i:2;s:18:"Decomposition Tree";i:3;s:17:"Anomaly Detection";i:4;s:25:"Forecasting (Time Series)";i:5;s:35:"AutoML (Automated Machine Learning)";}
Data Modeling in Power BI
  • a:4:{i:0;s:37:"Building Relationships Between Tables";i:1;s:40:"Star vs. Snowflake Schema in Data Models";i:2;s:36:"Brief understanding of Relationships";i:3;s:38:"Cardinality: Meaning and various types";}
Introduction to DAX
  • a:2:{i:0;s:49:"Creating Calculated Columns and Measures with DAX";i:1;s:47:"Understanding Data Hierarchies and Aggregations";}
Advanced Analytics with DAX
  • a:11:{i:0;s:45:"Understanding Data Analysis Expressions (DAX)";i:1;s:39:"Advanced DAX functions and calculations";i:2;s:58:"Time intelligence functions for analyzing trends over time";i:3;s:30:"Dive deeper into DAX functions";i:4;s:47:"including more complex functions like CALCULATE";i:5;s:6:"FILTER";i:6;s:3:"ALL";i:7;s:25:"RELATED and many others.";i:8;s:87:"Learn about advanced DAX patterns and techniques for solving complex business problems.";i:9;s:49:"Explore time intelligence functions like DATESYTD";i:10;s:48:"DATEADD and others for analyzing data over time";}
Data Visualization Fundamentals
  • a:3:{i:0;s:45:"Introduction to data visualization principles";i:1;s:70:"Creating basic visualizations (bar charts line charts pie charts etc.)";i:2;s:61:"Customizing visualizations with formatting and design options";}
Advanced Visualizations
  • a:4:{i:0;s:32:"Creating a hierarchy in Power BI";i:1;s:98:"Advanced visualization types (treemaps waterfall charts Donut Chart funnel chart Guage Chart etc.)";i:2;s:57:"Interactive features (drill-down slicers bookmarks etc.)";i:3;s:48:"Custom visuals and integrating them into reports";}
Dashboards and Storytelling
  • a:4:{i:0;s:52:"Designing Interactive Dashboards with Best Practices";i:1;s:47:"Using Bookmarks and Selections for Storytelling";i:2;s:52:"Building Dashboard Navigation with Buttons and Menus";i:3;s:37:"Creating Summary and Drill-Down Views";}
Introduction to Power BI Service
  • a:5:{i:0;s:42:"Publishing Reports to the Power BI Service";i:1;s:44:"Creating and Sharing Dashboards in the Cloud";i:2;s:38:"Collaboration with Workspaces and Apps";i:3;s:24:"Exporting Reports to PDF";i:4;s:20:"Excel and PowerPoint";}
Advanced Analytics with Power BI
  • a:5:{i:0;s:51:"Using DAX for Complex Calculations and Aggregations";i:1;s:56:"Applying Row-Level Security (RLS) to Control Data Access";i:2;s:37:"Exploring AI Capabilities: Q&A Visual";i:3;s:38:"Key Influencers and Decomposition Tree";i:4;s:36:"Predictive Analytics and Forecasting";}

Course Syllabus

  • Understanding Power Query for Data Cleaning and Transformation
  • Handling Missing Data
  • Duplicates and Data Types
  • Combining and Merging Datasets

  • Q&A (Natural Language Processing)
  • Key Influencers Visual
  • Decomposition Tree
  • Anomaly Detection
  • Forecasting (Time Series)
  • AutoML (Automated Machine Learning)

  • Building Relationships Between Tables
  • Star vs. Snowflake Schema in Data Models
  • Brief understanding of Relationships
  • Cardinality: Meaning and various types

  • Creating Calculated Columns and Measures with DAX
  • Understanding Data Hierarchies and Aggregations

  • Understanding Data Analysis Expressions (DAX)
  • Advanced DAX functions and calculations
  • Time intelligence functions for analyzing trends over time
  • Dive deeper into DAX functions
  • including more complex functions like CALCULATE
  • FILTER
  • ALL
  • RELATED and many others.
  • Learn about advanced DAX patterns and techniques for solving complex business problems.
  • Explore time intelligence functions like DATESYTD
  • DATEADD and others for analyzing data over time

  • Introduction to data visualization principles
  • Creating basic visualizations (bar charts line charts pie charts etc.)
  • Customizing visualizations with formatting and design options

  • Creating a hierarchy in Power BI
  • Advanced visualization types (treemaps waterfall charts Donut Chart funnel chart Guage Chart etc.)
  • Interactive features (drill-down slicers bookmarks etc.)
  • Custom visuals and integrating them into reports

  • Designing Interactive Dashboards with Best Practices
  • Using Bookmarks and Selections for Storytelling
  • Building Dashboard Navigation with Buttons and Menus
  • Creating Summary and Drill-Down Views

  • Publishing Reports to the Power BI Service
  • Creating and Sharing Dashboards in the Cloud
  • Collaboration with Workspaces and Apps
  • Exporting Reports to PDF
  • Excel and PowerPoint

  • Using DAX for Complex Calculations and Aggregations
  • Applying Row-Level Security (RLS) to Control Data Access
  • Exploring AI Capabilities: Q&A Visual
  • Key Influencers and Decomposition Tree
  • Predictive Analytics and Forecasting

Requirements

  • Laptop/ computer run lightweight softwares
  • Good wifi

Description

Data Analytics Course: Microsoft Excel and Power BI

Key Topics Covered: Excel for Data Analytics Advanced formulas (e.g., INDEX-MATCH, dynamic arrays) Power Query for data cleaning and transformation Power Pivot and DAX for data modeling Dashboards with interactive visualizations Power BI for Business Intelligence Data import and transformation with Power Query Building data models and relationships DAX calculations for deep analytics Designing interactive dashboards with Power BI Publishing and sharing Power BI reports End-to-End Analytics Workflow Connecting Excel with Power BI for enhanced workflows Real-world case studies and industry-specific use cases Capstone project to showcase end-to-end analytics skills

Who this course is for:

  • Professionals in MIS, Reporting, and Business Intelligence
  • Aspiring Data Analysts or Data Scientists
  • Business Owners and Entrepreneurs looking for actionable insights
  • Students and Recent Graduates aiming to enter data-driven roles
  • Corporate Teams seeking to improve their organization's analytics capabilities

Meet your instructors

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Trisha Jagtiani

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Course Syllabus

Data Cleaning in Power BI
  • a:4:{i:0;s:62:"Understanding Power Query for Data Cleaning and Transformation";i:1;s:21:"Handling Missing Data";i:2;s:26:"Duplicates and Data Types";i:3;s:30:"Combining and Merging Datasets";}
AI Tools in Power BI
  • a:6:{i:0;s:33:"Q&A (Natural Language Processing)";i:1;s:22:"Key Influencers Visual";i:2;s:18:"Decomposition Tree";i:3;s:17:"Anomaly Detection";i:4;s:25:"Forecasting (Time Series)";i:5;s:35:"AutoML (Automated Machine Learning)";}
Data Modeling in Power BI
  • a:4:{i:0;s:37:"Building Relationships Between Tables";i:1;s:40:"Star vs. Snowflake Schema in Data Models";i:2;s:36:"Brief understanding of Relationships";i:3;s:38:"Cardinality: Meaning and various types";}
Introduction to DAX
  • a:2:{i:0;s:49:"Creating Calculated Columns and Measures with DAX";i:1;s:47:"Understanding Data Hierarchies and Aggregations";}
Advanced Analytics with DAX
  • a:11:{i:0;s:45:"Understanding Data Analysis Expressions (DAX)";i:1;s:39:"Advanced DAX functions and calculations";i:2;s:58:"Time intelligence functions for analyzing trends over time";i:3;s:30:"Dive deeper into DAX functions";i:4;s:47:"including more complex functions like CALCULATE";i:5;s:6:"FILTER";i:6;s:3:"ALL";i:7;s:25:"RELATED and many others.";i:8;s:87:"Learn about advanced DAX patterns and techniques for solving complex business problems.";i:9;s:49:"Explore time intelligence functions like DATESYTD";i:10;s:48:"DATEADD and others for analyzing data over time";}
Data Visualization Fundamentals
  • a:3:{i:0;s:45:"Introduction to data visualization principles";i:1;s:70:"Creating basic visualizations (bar charts line charts pie charts etc.)";i:2;s:61:"Customizing visualizations with formatting and design options";}
Advanced Visualizations
  • a:4:{i:0;s:32:"Creating a hierarchy in Power BI";i:1;s:98:"Advanced visualization types (treemaps waterfall charts Donut Chart funnel chart Guage Chart etc.)";i:2;s:57:"Interactive features (drill-down slicers bookmarks etc.)";i:3;s:48:"Custom visuals and integrating them into reports";}
Dashboards and Storytelling
  • a:4:{i:0;s:52:"Designing Interactive Dashboards with Best Practices";i:1;s:47:"Using Bookmarks and Selections for Storytelling";i:2;s:52:"Building Dashboard Navigation with Buttons and Menus";i:3;s:37:"Creating Summary and Drill-Down Views";}
Introduction to Power BI Service
  • a:5:{i:0;s:42:"Publishing Reports to the Power BI Service";i:1;s:44:"Creating and Sharing Dashboards in the Cloud";i:2;s:38:"Collaboration with Workspaces and Apps";i:3;s:24:"Exporting Reports to PDF";i:4;s:20:"Excel and PowerPoint";}
Advanced Analytics with Power BI
  • a:5:{i:0;s:51:"Using DAX for Complex Calculations and Aggregations";i:1;s:56:"Applying Row-Level Security (RLS) to Control Data Access";i:2;s:37:"Exploring AI Capabilities: Q&A Visual";i:3;s:38:"Key Influencers and Decomposition Tree";i:4;s:36:"Predictive Analytics and Forecasting";}

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