2023 Data Visualization in Tableau & Python (2 Courses in 1)

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Surendra Varma Pericherla

1:58:01

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1 - Introduction

1 - Introduction to Data Visualization.mp4

01:32

2 - Tableau Fundamentals

2 - Getting Started with Tableau Software.mp4

03:47

3 - Connecting to Data Sources Text File.mp4

03:06

4 - Connecting to Data Sources EXCEL.mp4

02:16

5 - Creating Basic Visualizations in Tableau.mp4

05:24

6 - Formatting Sheets in Tableau.mp4

02:15

3 - Designing Interactive Visualizations with Tableau

7 - Joining two tables and Creating Bar Chart.mp4

03:27

8 - Creating different types of Bar Charts.mp4

05:03

9 - Creating Line Chart.mp4

04:10

10 - Creating Area Chart.mp4

04:14

11 - Creating Circle Views and SidebySide Circles.mp4

04:57

12 - Creating Scatter Plots.mp4

04:51

13 - Creating Pie Chart.mp4

05:28

14 - Creating histogram.mp4

02:03

15 - Creating text tables and highlight tables.mp4

00:53

16 - Creating Maps.mp4

03:29

17 - Creating Heat Maps.mp4

03:08

4 - Project based Learning to Create Interactive Dashboards in Tableau

18 - Creating Dashboards with Tableau using Olympic Athletes Data Set.mp4

21:58

18 - Olympic-Athletes.xlsx

5 - Data Visualization Using Matplotlib in Python

19 - Introduction to Matplotlib.mp4

02:57

20 - Creating Line Graph.mp4

05:30

21 - Creating Bar Graph.mp4

02:20

22 - Creating Scatter Graph.mp4

01:07

23 - Creating Histogram Graph.mp4

02:01

24 - Creating Pie Chart.mp4

02:24

25 - Creating 3D plot.mp4

01:23

26 - Creating 3D Line graph.mp4

00:34

6 - Data Visualization Using Seaborn in Python

27 - Introduction to Seaborn.mp4

02:58

28 - Understanding Data Set.mp4

02:32

29 - Creating Swarm Plot.mp4

04:07

30 - Creating Violin Plot.mp4

01:48

31 - Creating Facet Grids.mp4

04:31

32 - Creating Heatmaps.mp4

01:48

Description

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

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

Who is this for?

Data Analysts: Professionals working in data analysis roles who want to enhance their data visualization skills. They may already have experience with data manipulation and analysis and want to effectively communicate their findings through visually engaging charts and graphs.

Data Scientists: Individuals involved in data science who wish to add data visualization to their skill set. They understand the importance of effective data communication and want to leverage visualization techniques to convey complex insights to a non-technical audience.

Business Intelligence Professionals: Those responsible for collecting, analyzing, and presenting data to support decision-making in an organization. They seek to develop expertise in creating interactive dashboards and visualizations using Tableau, Matplotlib, and Seaborn.

Researchers and Academics: Researchers, scientists, and academics from various domains who deal with large datasets. They want to learn how to visually explore and communicate their data effectively, enabling them to present their findings in a visually compelling manner.

Data Enthusiasts: Individuals who have a strong interest in data visualization and want to explore the power of Tableau, Matplotlib, and Seaborn to create impactful visualizations. They may come from diverse backgrounds and want to acquire practical skills to showcase data in a meaningful way.

Students and Aspiring Data Professionals: Students pursuing degrees or courses in data-related fields, such as data science, analytics, or business intelligence. They aim to acquire a comprehensive understanding of data visualization techniques early in their careers to excel in their future roles.

What You Need to Know?

Proficiency in Python: Since Matplotlib and Seaborn are Python libraries, a solid understanding of Python programming is necessary. Students should have a good grasp of Python syntax, variables, data structures (such as lists, dictionaries, and arrays), control flow (loops and conditionals), functions, and file I/O operations.

Knowledge of data manipulation: It is beneficial to have some experience with data manipulation and cleaning techniques, such as loading data from different file formats (CSV, Excel, etc.), handling missing values, and performing basic data transformations (filtering, grouping, merging, etc.). This can be achieved through libraries like pandas.

More details

Description
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:
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.
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.
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.
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.
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.
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.
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.
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.
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.
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!

Who this course is for:
Data Analysts: Professionals working in data analysis roles who want to enhance their data visualization skills. They may already have experience with data manipulation and analysis and want to effectively communicate their findings through visually engaging charts and graphs.
Data Scientists: Individuals involved in data science who wish to add data visualization to their skill set. They understand the importance of effective data communication and want to leverage visualization techniques to convey complex insights to a non-technical audience.
Business Intelligence Professionals: Those responsible for collecting, analyzing, and presenting data to support decision-making in an organization. They seek to develop expertise in creating interactive dashboards and visualizations using Tableau, Matplotlib, and Seaborn.
Researchers and Academics: Researchers, scientists, and academics from various domains who deal with large datasets. They want to learn how to visually explore and communicate their data effectively, enabling them to present their findings in a visually compelling manner.
Data Enthusiasts: Individuals who have a strong interest in data visualization and want to explore the power of Tableau, Matplotlib, and Seaborn to create impactful visualizations. They may come from diverse backgrounds and want to acquire practical skills to showcase data in a meaningful way.
Students and Aspiring Data Professionals: Students pursuing degrees or courses in data-related fields, such as data science, analytics, or business intelligence. They aim to acquire a comprehensive understanding of data visualization techniques early in their careers to excel in their future roles.

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Python

Data Visualization

Tableau

Surendra Varma Pericherla

Instructor's Courses

The name of the instructor is Surendra varma.He is a winner of BEST TEACHER award.He is a winner of Young Achiever award.He holds Bachelors degree in Computer Science & Masters degree in Computer science. He cracked toughest exams in computer science such as GATE & UGC-NET with flying colors. Also, he is a university topper during masters.He is currently Pursuing PhD from world's most reputed university Indian Institute of Sciences(IISC), Bangalore.He worked with various EdTech companies in India including Great Learning. He always received best feedback from his students. He has 14+ Years of experience in Teaching/research/Industry. He worked in various roles like Software Engineer, Associate professor, Researcher, Technical Trainer, Senior Technical Trainer, Technical head & Academic head. He has trained over 1,00,000 students in his career. His former students are currently working in MNC's such as Amazon, Infosys, Wipro, TCS, CTS, Accenture etc.He has given Guest lectures in top Universities/ colleges in India like IIIT’s, SRM University, VIT etc.He has given online training to students of various countries such as India, USA, Canada, UAE, Australia, UK, Germany etc.He ranked in Top 5% in Cracking the Amazon Coding Assessment.In Udemy, his students are scattered in 161 different countries."He loves education and educating others. His goal is to Provide quality of education to the students across the world."

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