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: Technical Analysis, Market Trend, Market Data, Market Liquidity, Real Time Data, Financial Trading, Financial Market, Trend Analysis, Market Analysis, Market Dynamics, Market Opportunities
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Technical Analysis, Market Trend, Financial Trading, Market Dynamics, Derivatives, Market Opportunities, Financial Market, Gap Analysis, Securities Trading, Risk Management Framework, Risk Management, Trend Analysis, Market Data, Market Analysis, Risk Analysis, Financial Forecasting, Forecasting, Consolidation, Histogram
Beginner · Specialization · 3 - 6 Months

Corporate Finance Institute
Skills you'll gain: Star Schema, Data Presentation, Data Modeling, Tableau Software, Interactive Data Visualization, Business Intelligence, Extract, Transform, Load, Dashboard, Dashboard Creation, Performance Tuning, Technical Analysis, Model Optimization, Database Design, Data Visualization Software, Data Warehousing, Plot (Graphics), Market Data, Statistical Visualization, Data Storytelling, Data Visualization
★ 4.6 (34) · Advanced · Specialization · 3 - 6 Months
University of Michigan
Skills you'll gain: Matplotlib, Data Visualization, Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Statistical Visualization, Data Presentation, Data Literacy, Graphing, Graphic and Visual Design, Data Manipulation, Python Programming
★ 4.5 (6.3K) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Technical Analysis, Market Trend, Trend Analysis, Financial Market, Market Data, Portfolio Risk, Financial Trading, Portfolio Management, Risk Management, Financial Forecasting, Market Liquidity, Market Dynamics, Real Time Data, Financial Analysis, Market Analysis, Investment Management, Risk Analysis, Graphing, Verification And Validation, Probability & Statistics
Beginner · Specialization · 3 - 6 Months

Interactive Brokers
Skills you'll gain: Financial Statement Analysis, Financial Statements, Financial Analysis, Financial Acumen, Investments, Supply And Demand, Real Estate, Risk Management, Market Dynamics, Market Trend, Portfolio Risk, Growth Strategies, Market Data, Business Economics, Economics, Business Metrics, Business Valuation, Compensation Analysis, Technical Analysis, Research
★ 4.6 (55) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Technical Analysis, Data Literacy, Financial Trading, Financial Market, Descriptive Statistics, Market Data, Statistics, Portfolio Risk, Statistical Methods, Derivatives, Risk Modeling, Market Analysis, Statistical Analysis, Market Dynamics, Securities Trading, Risk Analysis, Verification And Validation, Securities (Finance), Data Analysis, International Finance
★ 4.9 (15) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization Software, Dashboard, Data Visualization, Dashboard Creation, IBM Cognos Analytics, Statistical Visualization, Pivot Tables And Charts, Microsoft Excel, Tree Maps, Scatter Plots, Histogram, Data Analysis
★ 4.7 (4.5K) · Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Training, Model Evaluation, Responsible AI, Data Ethics, Machine Learning, Image Quality, Information Privacy, Data Synthesis
★ 4.7 (2.4K) · Intermediate · Specialization · 1 - 3 Months

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

University of Michigan
Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Model Evaluation, Applied Machine Learning, Supervised Learning, Text Mining, Statistical Visualization, Network Model, Data Manipulation, NumPy, Data Preprocessing, Natural Language Processing, Python Programming
★ 4.5 (34K) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Excel Formulas, Spreadsheet Software, Business Reporting, Data Visualization, Interactive Data Visualization, Excel Macros, Data Presentation, Dashboard, Forecasting, Dashboard Creation, Data Analysis, Data Visualization Software, Predictive Modeling, Data Validation, Data Entry, Data Management, Data Security, Data Integrity
★ 4.8 (133) · Beginner · Specialization · 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.‎