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.

Intermediate · Specialization · 1 - 3 Months

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

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis
Intermediate · Specialization · 1 - 3 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

Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Statistical Visualization, Dashboard, Data Visualization Software, Looker (Software), Data Literacy, Health Informatics, Technical Communication, Clinical Informatics, Data Mapping, Scatter Plots, Spatial Data Analysis, Data Analysis, Health Technology, Geospatial Mapping, Health Care, Business Metrics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Technical Analysis, Financial Trading, Financial Market, Portfolio Risk, Derivatives, Market Analysis, Statistical Analysis, Market Dynamics, Market Data, Risk Analysis, Data Validation, Trend Analysis, Performance Analysis, Probability Distribution, Behavioral Economics, Model Evaluation, Consolidation, Risk Management
Beginner · Specialization · 1 - 3 Months

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

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

Skills you'll gain: Data Visualization, Microsoft PowerPoint, Data Storytelling, Microsoft Excel, Trend Analysis
Intermediate · Course · 3 - 6 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.