Data Analysis and Visualizations with Tableau and Power BI

Overview:

Introduction:

In today's data-driven landscape, the ability to transform raw data into compelling visual stories is paramount. Both Tableau and Power BI offer powerful suites of tools that empower users to do just that. This training program will equip participants with the skills and knowledge needed to harness the full potential of Tableau and Power BI for creating insightful and impactful visualizations.

Program Objectives:

By the end of this program, participants will be able to:

• Explore the fundamentals of data analysis and visualization.

• Use Microsoft Power BI and Tableau to create interactive dashboards and reports.

• Clean, transform, and combine data from multiple sources.

• Create compelling visualizations using charts, graphs, and other design elements.

• Effectively communicate data insights effectively to stakeholders.

Targeted Audience:

• Business intelligence practitioners.

• Data analysts and professionals in various industries.

• Professionals seeking to elevate their data-driven decision-making.

• Employees aiming to refine data visualization expertise.

Program Outlines:

Unit 1.

Data Analysis & Visualization with Power BI and Tableau:

• Understanding the Fundamentals of Data Analysis and Visualization.

• Overview of Power BI and Tableau.

• The process of Installing and Setting Up Power BI and Tableau.

• Connecting to Data Sources.

• Creating and Formatting Tables and Charts.

Unit 2.

Data Cleaning, Transforming, and Combining:

• Data Cleaning and Transformation.

• Combining Data from Multiple Sources.

• Advanced Data Transformations.

• Data Modeling and Relationships.

• DAX Formulas and Functions.

Unit 3.

Creating Visualizations and Dashboards:

• Basic Chart Types and Visualizations.

• Advanced Chart Types and Visualizations.

• How to Design Effective Dashboards.

• How to Create Interactive Filters and Parameters.

• How to Create and Use Bookmarks.

Unit 4.

Advanced Data Analysis Techniques:

• Advanced Data Analysis Techniques.

• Creating Calculated Fields and Measures.

• Using Pivot Tables and Pivot Charts.

• Time-Series Analysis and Forecasting.

• Statistical Analysis and Modeling methods.

Unit 5.

Communicating Data Insights Effectively:

• Using Storytelling Techniques to Communicate Data Insights.

• Effective techniques for Creating Effective Presentations and Reports.

• Tools for Collaborating and Sharing Reports.

• Best Practices for Data Visualization and Analysis.