Data Visualization Mastery - Python Libraries and Power BI for Beginners: Master Interactive Dashboards and Plots Using Python and Power BI Tools

Simon Sez IT

Kieren Keene

David Casuto

$198.99

Video Oct 2025 2hrs 41mins 1st Edition

Simon Sez IT

Kieren Keene

David Casuto

$198.99

Video Oct 2025 2hrs 41mins 1st Edition

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Key benefits

Complete journey from raw data to dashboard using both code and GUI platforms
Covers both statistical visualization and business intelligence reporting
Includes guided exercises, real-world scenarios, and publishing workflows

Description

Dive into the world of data visualization by starting with Python-based libraries—Matplotlib, Seaborn, and Plotly—where you'll learn to build compelling line, bar, and scatter charts while customizing and combining them for storytelling impact. The journey begins with setting up your environment and understanding the fundamentals of data prep before visual creation. The course then transitions into business intelligence with Power BI, introducing you to Power Query for importing, transforming, and shaping data. You'll explore crucial tasks like merging tables, unpivoting columns, and building custom logic to model your data accurately. The learning continues with data modeling concepts, relationship creation, and calculated fields using DAX expressions like SUMX and CALCULATE. In the final modules, you’ll design polished dashboards using charts, filters, tables, and KPIs, then publish and edit reports within Power BI Service. Each section includes hands-on exercises to reinforce learning, ensuring you walk away with the ability to visualize data professionally from raw CSV to cloud-hosted dashboards.

Who is this book for?

This course is designed for beginners in data analytics, aspiring data scientists, and business professionals who want to enhance their reporting and visualization skills. No prior experience in Python or Power BI is required, but a basic understanding of data formats like CSV and Excel will be helpful. It’s also suitable for analysts looking to transition into more technical roles involving data storytelling.