Visualize Insights: Data Visualization Training Course. ( tools Tableau, Power BI, and Excel)

Introduction

Transform raw data into compelling visual narratives with our comprehensive training course on Data Visualization, covering industry-leading tools Tableau, Power BI, and Excel. This essential program equips individuals and teams with the fundamental skills to create insightful charts, interactive dashboards, and engaging reports that drive data-driven decision-making. Our training course explores the strengths of each platform, from Tableau's advanced analytics and interactive dashboards to Power BI's robust business intelligence capabilities and Excel's widespread accessibility. Whether you're a business analyst, data scientist, or anyone who works with data, this training course provides the practical knowledge to communicate information effectively through visuals.

This Data Visualization training course emphasizes a hands-on approach, guiding participants through the process of connecting to various data sources, designing effective visualizations, and building interactive dashboards in Tableau, Power BI, and Excel. You'll learn to choose the right chart types for different data types and analytical questions, customize visualizations for clarity and impact, and share your insights with stakeholders. By the end of this impactful training course, you'll possess the core skills to unlock the stories hidden within your data and present them in a clear, concise, and visually appealing manner.

Target Audience

• Business analysts seeking to communicate data insights effectively
• Data scientists and analysts looking to visualize their findings
• Marketing professionals wanting to track campaign performance visually
• Financial analysts aiming to present financial data clearly
• Project managers needing to report progress and trends visually
• Anyone who works with data and needs to present it effectively
• Teams looking to improve their data communication and decision-making

Duration:

• 10 Days

Course Objectives

1. Understand the principles of effective data visualization and storytelling.
2. Master the fundamentals of creating charts and graphs in Tableau.
3. Learn to build interactive dashboards and perform visual analytics in Tableau.
4. Gain proficiency in connecting to various data sources and transforming data in Power BI.
5. Learn to create compelling visualizations and build interactive reports in Power BI.
6. Understand how to leverage Excel for basic data visualization and charting.
7. Learn to choose the appropriate chart types for different data and analytical goals.
8. Develop skills in customizing visualizations for clarity, impact, and accessibility.

1. Module: Introduction to Data Visualization Principles

• Understanding the importance of data visualization in communication and analysis in the module
• Exploring different types of data and their corresponding visualization techniques within the Python module
• Principles of visual perception and design for effective data representation in the module
• Understanding the data visualization process: from data to insights to action within the module
• Introduction to various data visualization tools: Tableau, Power BI, Excel in the module

2. Module: Getting Started with Tableau

• Understanding the Tableau interface and its key components within the Python module
• Connecting to various data sources in Tableau (Excel, CSV, databases, etc.) in the module
• Exploring the Tableau data pane and understanding data types in the module
• Building basic charts: bar charts, line charts, scatter plots, pie charts in Tableau within the module
• Saving and sharing Tableau workbooks and visualizations in the module

3. Module: Advanced Charting and Visual Analytics in Tableau

• Creating more complex charts: histograms, box plots, treemaps, dual-axis charts in Tableau within the module
• Using Tableau's Marks card for customization and adding detail to visualizations within the Python module
• Implementing sorting, filtering, and grouping of data in Tableau in the module
• Performing basic calculations and creating calculated fields in Tableau in the module
• Introduction to Tableau's visual analytics features: trends, forecasting, clustering in the module

4. Module: Building Interactive Dashboards in Tableau

• Understanding the principles of effective dashboard design in Tableau within the Python module
• Creating and arranging multiple visualizations on a Tableau dashboard in the module
• Adding interactivity using filters, parameters, and actions in Tableau within the Python module
• Formatting and annotating dashboards for clarity and user experience in the module
• Best practices for designing and deploying Tableau dashboards for different audiences in the module

5. Module: Introduction to Power BI

• Understanding the Power BI interface: Desktop, Service, Mobile within the Python module
• Connecting to various data sources in Power BI (Excel, CSV, databases, web, etc.) in the module
• Exploring the Power BI data model and understanding relationships in the module
• Building basic visualizations: bar charts, line charts, scatter plots, tables, matrices in Power BI within the module
• Saving and sharing Power BI reports and dashboards in the module

6. Module: Advanced Visualizations and DAX in Power BI

• Creating more advanced visuals: treemaps, waterfall charts, gauge charts, maps in Power BI within the Python module
• Understanding and using the DAX (Data Analysis Expressions) language for calculations in Power BI in the module
• Creating calculated columns and measures using DAX in Power BI in the module
• Implementing filtering, sorting, and grouping of data in Power BI in the module
• Utilizing slicers and other interactive elements in Power BI reports in the module

7. Module: Data Visualization with Microsoft Excel

• Understanding Excel's charting capabilities and best practices for data visualization within the Python module
• Creating various chart types in Excel: bar charts, line charts, pie charts, scatter plots, histograms in the module
• Customizing chart elements: titles, labels, axes, legends, data labels in Excel within the module
• Using conditional formatting for visual data highlighting in Excel in the module
• Creating basic dashboards and reports using Excel charts and features in the module

8. Module: Choosing the Right Visualization Tool and Best Practices

• Comparing and contrasting the strengths and weaknesses of Tableau, Power BI, and Excel for data visualization within the Python module
• Understanding when to use each tool based on data complexity, interactivity needs, and audience in the module
• Best practices for data preparation and cleaning for effective visualization in the module
• Principles of visual storytelling and creating impactful data narratives in the module
• Considerations for accessibility and inclusivity in data visualization in the module

9. Module: Advanced Tableau Features

• Exploring advanced Tableau calculations and table calculations within the Python module
• Working with parameters and sets for enhanced interactivity in Tableau in the module
• Understanding level of detail (LOD) expressions in Tableau in the module
• Utilizing Tableau Prep for data preparation and transformation in the module
• Embedding Tableau visualizations in web pages and other applications in the module

10. Module: Advanced Power BI Features

• Understanding Power BI's data modeling capabilities and relationships in detail within the Python module
• Writing more complex DAX measures and calculated columns in Power BI in the module
• Utilizing Power BI's advanced analytics features: AI visuals, forecasting, Q&A in the module
• Exploring Power BI Service for collaboration and sharing in the module
• Understanding Power BI dataflows for data preparation and reuse in the module

General remarks

• Customizable courses are available to address the specific needs of your organization.
• The participant must be conversant in English
• Participants who successfully complete this course will receive a certificate of completion from Lenol Development Center.
• The course fee for onsite training includes facilitation training materials, tea break and lunch.
• Accommodation and airport pick up are made upon request
• For any inquiries reach us through info@lenoldevelopmentcenter.com or +254 710 314 746
• Payment should be made to our bank