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Take our Data Analysis & Visualization for Beginners course and learn about the data analysis process, key steps in data wrangling, basic data types, summary statistics, and more.
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What's inside
Syllabus
In this lesson, you will learn about the basics of data analysis and visualization, such as the data analysis process and when to use data visualization.
Read more
Syllabus
In this lesson, you will learn about the basics of data analysis and visualization, such as the data analysis process and when to use data visualization.
Read more
In this lesson, you will learn about the key steps in data wrangling, which gets your data ready for analysis and exploration.
In this lesson, you will learn about the basics of data analysis such as data types and summary statistics.
In this lesson, you will learn about how to design good data visualizations, common types of charts and plots, and how to tell a story with your visuals.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores data analysis, a standard topic in various industries
Develops foundational data analysis skills, including data wrangling and summary statistics
Builds a strong foundation for beginners in data analysis
Taught through Udacity, a platform known for offering industry-relevant courses
Save this course
Save Data Analysis and Visualization Fluency to your list so you can find it easily later:
Save
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Data Analysis and Visualization Fluency with these
activities:
Review basic statistics
Show steps
Review the basics of statistics to strengthen your understanding of data analysis concepts.
Browse courses on
Basic Statistics
Show steps
-
Review notes and textbooks on basic statistics concepts
-
Practice solving statistical problems
Participate in online discussion forums
Show steps
Engage in discussions with peers to exchange ideas and clarify concepts related to data analysis.
Show steps
-
Identify relevant online discussion forums
-
Post questions and share insights
-
Respond to others' posts and engage in discussions
Solve data wrangling exercises
Show steps
Complete practice exercises to gain proficiency in data wrangling techniques.
Browse courses on
Data Wrangling
Show steps
-
Find online resources or textbooks with data wrangling exercises
-
Practice solving data wrangling problems
-
Review solutions and discuss techniques with peers or instructors
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend a data visualization workshop
Show steps
Participate in a workshop to gain practical experience and learn from experts in data visualization.
Browse courses on
Data Storytelling
Show steps
-
Research and identify relevant workshops
-
Register and attend the workshop
-
Engage with instructors and participants
Design a data visualization dashboard
Show steps
Create an interactive data visualization dashboard to demonstrate your understanding of data visualization principles.
Browse courses on
Data Visualization
Show steps
-
Choose a dataset and define the visualization goals
-
Select appropriate visualization techniques
-
Design and implement the dashboard using visualization tools
-
Share your dashboard with others for feedback and improvement
Build a portfolio of data visualizations
Show steps
Create a collection of data visualizations to showcase your skills and understanding of storytelling with data.
Browse courses on
Data Storytelling
Show steps
-
Select a variety of datasets and visualization types
-
Create visualizations that effectively communicate insights
-
Write accompanying explanations or narratives for each visualization
Follow tutorials on advanced data analysis techniques
Show steps
Seek out and engage with tutorials to expand your knowledge of advanced data analysis techniques.
Browse courses on
Advanced Data Analysis
Show steps
-
Identify areas where you want to enhance your knowledge
-
Search for reputable tutorials or online courses
-
Follow the tutorials and practice the techniques
Mentor junior data analysts
Show steps
Provide guidance and support to junior data analysts to enhance their understanding of data analysis concepts and skills.
Browse courses on
Mentoring
Show steps
-
Identify opportunities for mentoring
-
Share your knowledge and experiences with mentees
-
Provide feedback and constructive criticism
Review basic statistics
Show steps
Review the basics of statistics to strengthen your understanding of data analysis concepts.
Browse courses on
Basic Statistics
Show steps
Show steps
Show steps
- Review notes and textbooks on basic statistics concepts
- Practice solving statistical problems
Participate in online discussion forums
Show steps
Engage in discussions with peers to exchange ideas and clarify concepts related to data analysis.
Show steps
Show steps
Show steps
- Identify relevant online discussion forums
- Post questions and share insights
- Respond to others' posts and engage in discussions
Solve data wrangling exercises
Show steps
Complete practice exercises to gain proficiency in data wrangling techniques.
Browse courses on
Data Wrangling
Show steps
Show steps
Show steps
- Find online resources or textbooks with data wrangling exercises
- Practice solving data wrangling problems
- Review solutions and discuss techniques with peers or instructors
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend a data visualization workshop
Show steps
Participate in a workshop to gain practical experience and learn from experts in data visualization.
Browse courses on
Data Storytelling
Show steps
Show steps
Show steps
- Research and identify relevant workshops
- Register and attend the workshop
- Engage with instructors and participants
Design a data visualization dashboard
Show steps
Create an interactive data visualization dashboard to demonstrate your understanding of data visualization principles.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a dataset and define the visualization goals
- Select appropriate visualization techniques
- Design and implement the dashboard using visualization tools
- Share your dashboard with others for feedback and improvement
Build a portfolio of data visualizations
Show steps
Create a collection of data visualizations to showcase your skills and understanding of storytelling with data.
Browse courses on
Data Storytelling
Show steps
Show steps
Show steps
- Select a variety of datasets and visualization types
- Create visualizations that effectively communicate insights
- Write accompanying explanations or narratives for each visualization
Follow tutorials on advanced data analysis techniques
Show steps
Seek out and engage with tutorials to expand your knowledge of advanced data analysis techniques.
Browse courses on
Advanced Data Analysis
Show steps
Show steps
Show steps
- Identify areas where you want to enhance your knowledge
- Search for reputable tutorials or online courses
- Follow the tutorials and practice the techniques
Mentor junior data analysts
Show steps
Provide guidance and support to junior data analysts to enhance their understanding of data analysis concepts and skills.
Browse courses on
Mentoring
Show steps
Show steps
Show steps
- Identify opportunities for mentoring
- Share your knowledge and experiences with mentees
- Provide feedback and constructive criticism
Career center
Learners who complete Data Analysis and Visualization Fluency will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist uses data to solve complex problems. This course can help you develop the skills needed to succeed in this role, including data analysis, statistical analysis, and data visualization.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses data to improve the efficiency of business operations. This course can help you develop the skills needed to succeed in this role, including data analysis, statistical analysis, and data visualization.
Statistician
Statistician
A Statistician uses data to make informed decisions. This course can help you develop the skills needed to succeed in this role, including data analysis, statistical analysis, and data visualization.
Data Analyst
Data Analyst
A Data Analyst collects, cleans, and interprets data to help businesses make informed decisions. This course can help you develop the skills needed to succeed in this role, including data wrangling, statistical analysis, and data visualization.
Financial Analyst
Financial Analyst
A Financial Analyst uses data to make investment recommendations. This course can help you develop the skills needed to succeed in this role, including data analysis, statistical analysis, and data visualization.
Marketing Analyst
Marketing Analyst
A Marketing Analyst uses data to improve the effectiveness of marketing campaigns. This course can help you develop the skills needed to succeed in this role, including data analysis, statistical analysis, and data visualization.
Risk Analyst
Risk Analyst
A Risk Analyst uses data to identify and assess risks. This course can help you develop the skills needed to succeed in this role, including data analysis, statistical analysis, and data visualization.
Product Manager
Product Manager
A Product Manager uses data to develop and improve products. This course can help you develop the skills needed to succeed in this role, including data analysis, statistical analysis, and data visualization.
Data Engineer
Data Engineer
A Data Engineer builds and maintains the infrastructure that stores and processes data. This course can help you develop the skills needed to succeed in this role, including data wrangling, data analysis, and data visualization.
Business Intelligence Analyst
Business Intelligence Analyst
A Business Intelligence Analyst uses data to help businesses improve their operations. This course can help you develop the skills needed to succeed in this role, including data analysis, statistical analysis, and data visualization.
Market Researcher
Market Researcher
A Market Researcher conducts surveys, interviews, and focus groups to gather data about consumer behavior. This course can help you develop the skills needed to succeed in this role, including data analysis, statistical analysis, and data visualization.
User Experience Researcher
User Experience Researcher
A User Experience Researcher uses data to improve the usability of products. This course can help you develop the skills needed to succeed in this role, including data analysis, statistical analysis, and data visualization.
Health Data Analyst
Health Data Analyst
A Health Data Analyst uses data to improve the quality and efficiency of healthcare. This course can help you develop the skills needed to succeed in this role, including data analysis, statistical analysis, and data visualization.
Social Media Analyst
Social Media Analyst
A Social Media Analyst uses data to measure the effectiveness of social media campaigns. This course can help you develop the skills needed to succeed in this role, including data analysis, statistical analysis, and data visualization.
Sales Analyst
Sales Analyst
A Sales Analyst uses data to improve the effectiveness of sales teams. This course can help you develop the skills needed to succeed in this role, including data analysis, statistical analysis, and data visualization.
For more career information including salaries, visit:
OpenCourser.com/course/qg3g2r/data
Reading list
We've selected 12 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Data Analysis and Visualization Fluency.
Provides a comprehensive overview of statistical learning methods.
Provides a comprehensive overview of statistical learning methods.
Provides a comprehensive overview of the Python programming language and the Pandas library, which are essential for data analysis and visualization.
Provides a comprehensive overview of Bayesian data analysis methods.
Save
Provides a comprehensive overview of deep learning methods.
Provides a comprehensive overview of data science.
Provides a comprehensive overview of statistical methods for data analysis.
Save
Provides a comprehensive overview of data visualization.
Save
Provides a comprehensive overview of the R programming language for data science.
Provides a practical guide to using the ggplot2 library for data visualization in R.
Provides a comprehensive overview of the Python programming language.
Save
Provides a comprehensive overview of data analysis using the R programming language.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/qg3g2r/data
Share
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Effort
5 hours
Via
Udacity
Language
English
Good to know
Explores data analysis, a standard topic in various industries
Develops foundational data analysis skills, including data wrangling and summary statistics
Builds a strong foundation for beginners in data analysis
Taught through Udacity, a platform known for offering industry-relevant courses
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