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2024 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
Instructor:
Surendra Varma Pericherla
16,337 students enrolled
English [Auto]
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

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!

Introduction

1
Introduction to Data Visualization

Tableau Fundamentals

1
Getting Started with Tableau Software
2
Connecting to Data Sources (Downloadable Text File)
3
Connecting to Data Sources (Downloadable EXCEL File)
4
Creating Basic Visualizations in Tableau
5
Formatting Sheets in Tableau

Designing Interactive Visualizations with Tableau

1
Joining two tables and Creating Bar Chart (Downloadable Excel Data Set)
2
Creating different types of Bar Charts
3
Creating Line Chart
4
Creating Area Chart
5
Creating Circle Views and Side-by-Side Circles
6
Creating Scatter Plots
7
Creating Pie Chart
8
Creating histogram
9
Creating text tables and highlight tables
10
Creating Maps
11
Creating Heat Maps

Project based Learning to Create Interactive Dashboards in Tableau

1
Creating Dashboards with Tableau using Olympic Athletes Data Set
2
Create a Dashboard and story for World bank indicators Data Set
3
Create a Dashboard and Story for Sales Data Set

Data Visualization Using Matplotlib in Python

1
Introduction to Matplotlib
2
Creating Line Graph
3
Creating Bar Graph
4
Creating Scatter Graph
5
Creating Histogram Graph
6
Creating Pie Chart
7
Creating 3D plot
8
Creating 3D Line graph

Data Visualization Using Seaborn in Python

1
Introduction to Seaborn
2
Understanding Data Set
3
Creating Swarm Plot
4
Creating Violin Plot
5
Creating Facet Grids
6
Creating Heatmaps

Projects

1
Create a Line Plot using Matplotlib.
2
Create a Scatter Plot using Matplotlib
3
Create a Bar Chart using Matplotlib
4
Create a Histogram using Matplotlib
You can view and review the lecture materials indefinitely, like an on-demand channel.
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Includes

2 hours on-demand video
Full lifetime access
Access on mobile and TV
Certificate of Completion

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