Data Analysis and Visualizations with Tableau and Power BI

Overview:

Introduction:

Data analysis and visualization play a key role in transforming raw data into actionable insights that guide strategic and operational decisions. Tableau and Power BI are two of the most widely used tools for building interactive dashboards, conducting dynamic analysis, and presenting results in a clear and impactful manner. This training program introduces structured frameworks for organizing, transforming, and visualizing data using Tableau and Power BI, supporting participants in presenting findings effectively and tailoring insights to specific audiences.

Program Objectives:

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

• Identify the core features and data connectivity functions of Power BI and Tableau.

• Perform structured data cleaning and transformation procedures using built-in tools.

• Gain the required skills to develop dashboards and visualizations aligned with reporting objectives.

• Utilize advanced analytical techniques for time-based and statistical analysis.

• Employ communication strategies to present data insights across different audiences.

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 Outline:

Unit 1:

Data Analysis and Visualization with Power BI and Tableau:

• Fundamentals of data analysis and visual design.

• Core features and capabilities of Power BI and Tableau.

• Installation procedures and system setup techniques.

• How to connect to structured and unstructured data sources.

• Key activities used in formatting tables, charts, and visual layouts.

Unit 2:

Data Cleaning, Transforming, and Combining:

• Frameworks for data cleaning and transformation.

• Methods for combining data from multiple files or sources.

• Advanced transformation tools and query functions.

• Data modeling principles and creating relationships.

• Introduction to DAX formulas and calculated columns.

Unit 3:

Visualizations and Dashboards:

• Standard chart types and formatting principles.

• The use of advanced visualizations for complex data sets.

• Layout design principles for functional dashboards.

• How to implement interactive filters and parameters.

• Bookmarking techniques for guided data exploration.

Unit 4:

Advanced Data Analysis Techniques:

• How to apply advanced data analysis logic.

• Oversight on calculated fields, measures, and KPIs.

• Methods of developing pivot tables and charts for dynamic analysis.

• Frameworks for time-series forecasting and trend analysis.

• Introduction to statistical modeling techniques within BI tools.

Unit 5:

Communicating Data Insights Effectively:

• Methods for structuring data stories using visual frameworks.

• Elements of compelling data presentation and design.

• Tools for report sharing and online collaboration.

• Guidelines for tailoring communication to diverse audiences.

• Approaches for aligning visual outputs with decision-making needs.