Learn R and Python Programming for Data Visualization

Learn R and Python Programming for Data Visualization, available at $19.99, has an average rating of 4.1, with 24 lectures, based on 49 reviews, and has 4276 subscribers.

You will learn about Fundamental Programming Concepts in R: Grasp the core elements of R programming, including string manipulation, Boolean logic, control structures. Versatile Data Visualization Techniques: Explore a wide array of charts and plots, from basic plot charts and scatterplots in R, to more complex visualizations Utilization of Key Data Visualization Libraries: Harness the power of industry-leading Python libraries such as Matplotlib and Seaborn Data Analysis and Insight Extraction: Go beyond just creating visuals. Learn to interpret charts, identify underlying patterns, and extract actionable insights This course is ideal for individuals who are Budding Data Enthusiasts: Individuals eager to kickstart their journey in the realm of data science and analytics, looking for a comprehensive introduction to data visualization using R and Python. or Researchers and Academics: Professionals in research fields who deal with vast amounts of data and need effective ways to visualize, interpret, and present their findings. or Business Professionals: Decision-makers, managers, and analysts seeking to enhance their data-driven decision-making skills by learning to create and understand insightful visual representations of their data. or Career Switchers: Individuals from non-technical backgrounds aiming to transition into data roles and seeking a foundational understanding of data visualization tools and techniques. or Educators and Trainers: Those involved in teaching or training roles, wanting to integrate powerful data visualization examples and practices into their curriculum or training sessions. It is particularly useful for Budding Data Enthusiasts: Individuals eager to kickstart their journey in the realm of data science and analytics, looking for a comprehensive introduction to data visualization using R and Python. or Researchers and Academics: Professionals in research fields who deal with vast amounts of data and need effective ways to visualize, interpret, and present their findings. or Business Professionals: Decision-makers, managers, and analysts seeking to enhance their data-driven decision-making skills by learning to create and understand insightful visual representations of their data. or Career Switchers: Individuals from non-technical backgrounds aiming to transition into data roles and seeking a foundational understanding of data visualization tools and techniques. or Educators and Trainers: Those involved in teaching or training roles, wanting to integrate powerful data visualization examples and practices into their curriculum or training sessions.

Enroll now: Learn R and Python Programming for Data Visualization

Summary

Title: Learn R and Python Programming for Data Visualization

Price: $19.99

Average Rating: 4.1

Number of Lectures: 24

Number of Published Lectures: 24

Number of Curriculum Items: 24

Number of Published Curriculum Objects: 24

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

• Fundamental Programming Concepts in R: Grasp the core elements of R programming, including string manipulation, Boolean logic, control structures.
• Versatile Data Visualization Techniques: Explore a wide array of charts and plots, from basic plot charts and scatterplots in R, to more complex visualizations
• Utilization of Key Data Visualization Libraries: Harness the power of industry-leading Python libraries such as Matplotlib and Seaborn
• Data Analysis and Insight Extraction: Go beyond just creating visuals. Learn to interpret charts, identify underlying patterns, and extract actionable insights

Who Should Attend

• Budding Data Enthusiasts: Individuals eager to kickstart their journey in the realm of data science and analytics, looking for a comprehensive introduction to data visualization using R and Python.
• Researchers and Academics: Professionals in research fields who deal with vast amounts of data and need effective ways to visualize, interpret, and present their findings.
• Business Professionals: Decision-makers, managers, and analysts seeking to enhance their data-driven decision-making skills by learning to create and understand insightful visual representations of their data.
• Career Switchers: Individuals from non-technical backgrounds aiming to transition into data roles and seeking a foundational understanding of data visualization tools and techniques.
• Educators and Trainers: Those involved in teaching or training roles, wanting to integrate powerful data visualization examples and practices into their curriculum or training sessions.

Target Audiences

• Budding Data Enthusiasts: Individuals eager to kickstart their journey in the realm of data science and analytics, looking for a comprehensive introduction to data visualization using R and Python.
• Researchers and Academics: Professionals in research fields who deal with vast amounts of data and need effective ways to visualize, interpret, and present their findings.
• Business Professionals: Decision-makers, managers, and analysts seeking to enhance their data-driven decision-making skills by learning to create and understand insightful visual representations of their data.
• Career Switchers: Individuals from non-technical backgrounds aiming to transition into data roles and seeking a foundational understanding of data visualization tools and techniques.
• Educators and Trainers: Those involved in teaching or training roles, wanting to integrate powerful data visualization examples and practices into their curriculum or training sessions.