Charting courses can help you learn data visualization techniques, effective storytelling with data, and the principles of design for charts and graphs. You can build skills in interpreting complex datasets, selecting appropriate chart types, and using color and layout to enhance clarity. Many courses introduce tools like Tableau, Microsoft Excel, and Google Data Studio, that support creating impactful visual representations of data and communicating insights effectively.

Skills you'll gain: Data Storytelling, Seaborn, Data Visualization, Data Presentation, Matplotlib, Interactive Data Visualization, Dashboard, Statistical Visualization, Histogram, Time Series Analysis and Forecasting, Microsoft Excel, Generative AI, Tableau Software, Data-Driven Decision-Making, Business Intelligence, Data Analysis, Business Analytics, Power BI, Google Sheets, Python Programming
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Dashboard, Data Visualization, IBM Cognos Analytics, Pivot Tables And Charts, Spreadsheet Software, Microsoft Excel, Tree Maps, Scatter Plots, Histogram, Business Intelligence, Data Analysis
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Data Visualization Software, Interactive Data Visualization, Model Evaluation, Scientific Visualization, Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Data Manipulation, NumPy, Graph Theory, Data Preprocessing, Natural Language Processing, Python Programming
Intermediate · Specialization · 3 - 6 Months

Corporate Finance Institute
Skills you'll gain: Star Schema, Data Modeling, Tableau Software, Interactive Data Visualization, Business Intelligence, Extract, Transform, Load, Dashboard, Performance Tuning, Technical Analysis, Database Design, Data Visualization Software, Data Warehousing, Market Data, Data Transformation, Data Presentation, Investment Banking, Exploratory Data Analysis, Tree Maps, Data Storytelling, Data Visualization
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Dashboard, Data Visualization, Web Content Accessibility Guidelines, Data Presentation, Data Literacy, Data Visualization Software, Statistical Visualization, Heat Maps, Scatter Plots, Tableau Software, Microsoft Excel
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Performance Reporting, Marketing Analytics, Business Intelligence, Data Visualization Software, Dashboard, Data Presentation, Campaign Management, Power BI, Tableau Software, IBM Cognos Analytics, Grafana, Data Integration, Splunk
Beginner · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Matplotlib, Data Visualization, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Visualization (Computer Graphics), Statistical Visualization, Data Presentation, Graphing, Scatter Plots, Data Manipulation, Histogram, NumPy, Pandas (Python Package), Python Programming
Intermediate · Course · 1 - 4 Weeks

Multiple educators
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Specialization · 1 - 3 Months

Logical Operations
Skills you'll gain: Microsoft Excel, Spreadsheet Software, Excel Formulas, Microsoft Office, Pivot Tables And Charts, Excel Macros, Data Presentation, Microsoft 365, Business Intelligence, Data Visualization Software, Productivity Software, Data Visualization, Data Integration, Data Entry, Key Performance Indicators (KPIs), Data Management, Document Management, File Management, Performance Management, User Interface (UI)
Beginner · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Data Visualization Software, Scatter Plots, Technical Communication, Histogram
Beginner · Course · 1 - 4 Weeks

Macquarie University
Skills you'll gain: Pivot Tables And Charts, Data Storytelling, Data Visualization Software, Data Visualization, Interactive Data Visualization, Spreadsheet Software, Dashboard, Microsoft Excel, Excel Macros, Infographics, Excel Formulas, Data Analysis, Forecasting
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Keyword Research, Competitive Analysis, Marketing, Content Strategy, Digital Marketing, Auditing, Market Research, Test Tools, Technical Communication, Technical Analysis
Beginner · Course · 1 - 3 Months
Charting is the process of creating visual representations of data, such as graphs, plots, and diagrams. It is important because it helps individuals and organizations understand complex information at a glance, making it easier to identify trends, patterns, and insights. Effective charting can enhance decision-making, improve communication, and facilitate data analysis across various fields, including business, healthcare, and education.
Jobs in charting can vary widely depending on the industry. Common roles include data analyst, business intelligence analyst, financial analyst, and marketing analyst. Additionally, positions such as medical biller and graphic designer may also require charting skills to present data effectively. These roles often involve interpreting data and creating visual reports to support strategic decisions.
To excel in charting, you need a combination of technical and analytical skills. Proficiency in data visualization tools and software, such as Excel, Tableau, or Python libraries like Matplotlib, is essential. Additionally, understanding data analysis concepts, statistical methods, and design principles will enhance your ability to create effective charts. Strong communication skills are also important for conveying insights clearly.
Some of the best online courses for charting include Applied Plotting, Charting & Data Representation in Python, which teaches how to visualize data using Python. Other relevant courses focus on data analysis and visualization techniques across various platforms, helping you build a solid foundation in charting.
Yes. You can start learning charting on Coursera for free in two ways:
If you want to keep learning, earn a certificate in charting, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.
To learn charting, start by identifying the tools and software you want to use, such as Excel, Tableau, or Python. Enroll in online courses that focus on data visualization and practice by working on real-world datasets. Engage in projects that require you to create charts and visualizations, and seek feedback to improve your skills.
Typical topics covered in charting courses include data types, chart types, design principles, and the use of specific software tools. Courses often explore how to choose the right chart for different data sets, how to interpret visual data, and best practices for presenting information clearly and effectively.
For training and upskilling employees in charting, consider courses that offer practical applications and real-world examples. Courses like Applied Plotting, Charting & Data Representation in Python can be beneficial, as they provide hands-on experience with data visualization techniques that can be directly applied in the workplace.