Overview
Introduction:
Data analysis and visualization are essential for turning raw data into actionable insights that drive strategic and operational decisions. Tableau and Power BI are leading platforms for building interactive dashboards, performing dynamic analysis, and presenting results with clarity and impact. This training program equips participants with structured approaches for data preparation, transformation, and visualization, enabling them to design compelling dashboards and communicate insights effectively to diverse audiences.
Program Objectives:
By the end of this program, participants will be able to:
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Identify the core features and data connectivity functions of Power BI and Tableau.
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Evaluate structured data cleaning and transformation procedures using built in tools.
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Gain the skills to develop dashboards and visualizations aligned with reporting objectives.
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Utilize advanced analytical techniques for time based and statistical analysis.
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Employ communication strategies to effectively present insights to different audiences.
Targeted Audience:
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Business Intelligence Professionals.
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Data Analytics Specialists.
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Department Managers.
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Senior Decision Makers.
Program Outline:
Unit 1:
Data Analysis and Visualization with Power BI and Tableau:
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Fundamentals of data analysis and visual design.
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Core features and capabilities of Power BI and Tableau.
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Installation procedures and system setup techniques.
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How to connect to structured and unstructured data sources.
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Key activities used in formatting tables, charts, and visual layouts.
Unit 2:
Data Cleaning, Transforming, and Combining:
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Frameworks for data cleaning and transformation.
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Methods for combining data from multiple files or sources.
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Advanced transformation tools and query functions.
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Data modeling principles and creating relationships.
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Introduction to DAX formulas and calculated columns.
Unit 3:
Visualizations and Dashboards:
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Standard chart types and formatting principles.
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Importance of using advanced visualizations for complex data sets.
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Layout design principles for functional dashboards.
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How to implement interactive filters and parameters.
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Bookmarking techniques for guided data exploration.
Unit 4:
Advanced Data Analysis Techniques:
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How to apply advanced data analysis logic.
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Oversight on calculated fields, measures, and KPIs.
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Methods of developing pivot tables and charts for dynamic analysis.
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Time series forecasting methods and trend analysis.
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Introduction to statistical modeling techniques within BI tools.
Unit 5:
Communicating Data Insights Effectively:
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Methods for structuring data stories using visual frameworks.
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Key steps for compelling data presentation and design.
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Tools for report sharing and online collaboration.
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Guidelines for tailoring communication to diverse audiences.
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Importance of aligning visual outputs with decision making needs.