2024 Data Visualization in Tableau & Python (2 Courses in 1)

2024 Data Visualization in Tableau & Python (2 Courses in 1), available at $19.99, has an average rating of 4.5, with 33 lectures, based on 287 reviews, and has 28555 subscribers.

You will learn about 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 This course is ideal for individuals who are 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. or 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. or 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. or 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. or 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. or 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. It is particularly useful 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. or 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. or 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. or 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. or 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. or 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.

Enroll now: 2024 Data Visualization in Tableau & Python (2 Courses in 1)

Summary

Title: 2024 Data Visualization in Tableau & Python (2 Courses in 1)

Price: $19.99

Average Rating: 4.5

Number of Lectures: 33

Number of Published Lectures: 33

Number of Curriculum Items: 39

Number of Published Curriculum Objects: 39

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will 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 Should Attend

• 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.

Target Audiences

• 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.