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 Visualization, Microsoft PowerPoint, Data Storytelling, Microsoft Excel, Trend Analysis
Intermediate · Course · 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 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

University of Colorado Boulder
Skills you'll gain: Dashboard, Data Visualization Software, Tableau Software, Data Visualization, Interactive Data Visualization, Data Storytelling, Data Presentation, Data Analysis, Geospatial Mapping, Histogram, Advanced Analytics, Spatial Analysis, Scatter Plots, Data Science, Data Manipulation, Data Import/Export, Business Analytics, Marketing Analytics, Analytics, Forecasting
Beginner · Specialization · 1 - 3 Months

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

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

Universidad de los Andes
Skills you'll gain: Technical Analysis, Portfolio Management, Investments, Financial Forecasting, Financial Trading, Investment Management, Financial Analysis, Financial Market, Financial Modeling, Analytics, Portfolio Risk, Predictive Analytics, Capital Markets, Time Series Analysis and Forecasting, Statistical Analysis, Market Trend, Risk Analysis, Predictive Modeling, Risk Management, Performance Analysis
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Data Storytelling, Data Literacy, Data Visualization, Data Presentation, Tableau Software, Presentations, Data Visualization Software, Dashboard, Data Analysis, Web Content Accessibility Guidelines, Stakeholder Engagement
Beginner · Course · 1 - 4 Weeks

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Data Presentation, Matplotlib, Analytics, Probability Distribution, Data Processing, Statistical Methods, Exploratory Data Analysis, Statistical Analysis, Probability, Data Cleansing, Computer Programming Tools, Data Collection, Performance Measurement, Python Programming, Technical Analysis
Beginner · Course · 1 - 4 Weeks

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, Data Visualization Software, Data Warehousing, Market Data, Data Transformation, Data Presentation, Investment Banking, Exploratory Data Analysis, Relational Databases, Tree Maps, Data Storytelling, Data Visualization
Advanced · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Data Visualization Software, Scientific Visualization, Interactive Data Visualization, Geospatial Information and Technology, Data Presentation, Color Theory, Graphic and Visual Design, Data Visualization, Tree Maps, Visualization (Computer Graphics), Data Storytelling, Design Elements And Principles, Plot (Graphics), Data Literacy, Heat Maps, Computer Displays, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Mapping, Display Devices
Intermediate · Specialization · 3 - 6 Months

University of California, Irvine
Skills you'll gain: Data Visualization Software, Statistical Visualization, Data Presentation, Plot (Graphics), Data Storytelling, Tableau Software, Exploratory Data Analysis, Descriptive Statistics, Data Analysis, Descriptive Analytics, Histogram
Mixed · Course · 1 - 4 Weeks
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.