Udemy

2025 Data Visualization in Tableau & Python (2 Courses in 1)

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  • 51,138 Students
  • Updated 3/2025
  • Certificate Available
4.3
(616 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
1 Hour(s) 59 Minute(s)
Language
English
Taught by
Toppers Bootcamp
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.3
(616 Ratings)
5 views

Course Overview

2025 Data Visualization in Tableau & Python (2 Courses in 1)

Learn Data Visualization with Tableau & Python from the basic to advanced level using Real-Life Projects

Welcome to the comprehensive course on "Data Visualization in Tableau & Python with Matplotlib and Seaborn." In this course, you will learn how to create captivating and informative visualizations using two powerful tools: Tableau and Python libraries, Matplotlib and Seaborn. Whether you're a beginner or an experienced data analyst, this course will provide you with the necessary skills to effectively visualize data and communicate insights.

Course Features:

  1. Practical Approach: This course focuses on hands-on learning through practical exercises and real-world examples. You will work on various datasets, allowing you to apply the concepts and techniques learned directly to relevant scenarios.

  2. Comprehensive Coverage: The course covers both Tableau and Python libraries, providing you with a well-rounded understanding of data visualization. You will learn the fundamentals of each tool and progressively advance to more advanced techniques, ensuring a thorough grasp of the subject matter.

  3. Tableau Proficiency: You will gain proficiency in Tableau, a widely used data visualization tool. Starting with the basics, you will learn to create interactive dashboards, design captivating visualizations, and explore advanced functionalities for data analysis and storytelling.

  4. Python Visualization: Explore the capabilities of Python libraries, Matplotlib and Seaborn, for data visualization. You will learn to create static visualizations, customize plots, handle data manipulation, and leverage advanced statistical visualization techniques.

  5. Data Preparation and Cleaning: An essential aspect of data visualization is data preparation. This course covers techniques for data cleaning, manipulation, and transformation to ensure high-quality data for visualization purposes.

  6. Storytelling and Communication: Learn how to tell compelling stories through data visualization. Discover effective techniques for communicating insights visually and creating impactful narratives that engage and persuade your audience.

  7. Real-World Projects: Apply your skills to real-world projects and datasets, allowing you to showcase your abilities and build a portfolio of impressive visualizations. Gain practical experience and confidence in creating visualizations that address real-world challenges.

  8. Support and Resources: The course provides continuous support through Q&A sessions and a dedicated community forum, where you can interact with the instructor and fellow learners. Additional resources, such as code samples, datasets, and reference materials, will be provided to supplement your learning.

  9. Lifetime Access: Gain lifetime access to the course materials, including updates and new content. You can revisit the course anytime to refresh your knowledge, access new resources, and stay up-to-date with the latest advancements in data visualization.

  10. Certificate of Completion: Upon completing the course, you will receive a certificate of completion, validating your skills in data visualization with Tableau and Python libraries.

Whether you are a data analyst, data scientist, business professional, researcher, or anyone interested in mastering data visualization, this course will equip you with the necessary tools and knowledge to create impactful visualizations that drive insights and enhance data-driven decision-making.

Enroll now and embark on a journey to become a proficient data visualization expert with Tableau, Matplotlib, and Seaborn!


Course Content

  • 8 section(s)
  • 33 lecture(s)
  • Section 1 Introduction
  • Section 2 Tableau Fundamentals
  • Section 3 Designing Interactive Visualizations with Tableau
  • Section 4 Project based Learning to Create Interactive Dashboards in Tableau
  • Section 5 Data Visualization Using Matplotlib in Python
  • Section 6 Data Visualization Using Seaborn in Python
  • Section 7 Projects
  • Section 8 Bonus Lecture

What You’ll Learn

  • Understanding the principles of data visualization
  • Proficiency in Tableau
  • Data preparation and manipulation
  • Creating static visualizations with Matplotlib
  • Exploratory data analysis with Seaborn
  • Designing interactive visualizations
  • Visual storytelling and communication
  • Critically evaluating visualizations
  • Project-based learning

Reviews

  • B
    Bejide Abayomi
    5.0

    It’s been easy to watch and learn

  • U
    Udemy User
    5.0

    Good 😊

  • A
    ANANTHAJOTHI T
    5.0

    Explanation is good

  • J
    Jaxon Barnes
    5.0

    The content is meticulously structured, making complex topics easily digestible.

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