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    Charting Courses Online

    Master charting techniques for data visualization. Learn to create effective charts and graphs using tools like Excel, Tableau, and Power BI.

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    Explore the Charting Course Catalog

    • U

      University of Michigan

      Applied Plotting, Charting & Data Representation in Python

      Skills you'll gain: Matplotlib, 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)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Microsoft

      Microsoft Data Visualization

      Skills you'll gain: Data Storytelling, Data Analysis Expressions (DAX), Data Presentation, Power BI, Data Ethics, Dashboard, Data Visualization Software, Data Modeling, Data Governance, Extract, Transform, Load, Interactive Data Visualization, Business Intelligence, Data Analysis, Statistical Analysis, Data Architecture, Correlation Analysis, Data Cleansing, Data Transformation, Database Design, Statistical Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      64 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Data Analysis and Visualization Foundations

      Skills you'll gain: Data Storytelling, Big Data, Data Visualization Software, Data Analysis, Dashboard, IBM Cognos Analytics, Statistical Analysis, Data Mining, Apache Hadoop, Tree Maps, Excel Formulas, Data Wrangling, Apache Hive, Data Collection, Data Mart, Microsoft Excel, Data Warehousing, Data Quality, Data Cleansing, Data Import/Export

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of California, Davis

      Data Visualization with Tableau

      Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization Software, Key Performance Indicators (KPIs), Data Visualization, Dashboard, Interactive Data Visualization, Data Mapping, Tableau Software, Proposal Development, Graphing, Histogram, Scatter Plots, Tree Maps, Exploratory Data Analysis, Statistical Visualization, Storytelling, Performance Metric, Geospatial Mapping, Heat Maps

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • T

      Tableau Learning Partner

      Advanced Data Visualization with Tableau

      Skills you'll gain: Data Visualization Software, Spatial Data Analysis, Tableau Software, Data Storytelling, Statistical Visualization, Interactive Data Visualization, Data Presentation, Stakeholder Communications, Geospatial Mapping, Business Reporting, Business Analytics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      91 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Applied Data Science with Python

      Skills you'll gain: Matplotlib, Network Analysis, Feature Engineering, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Statistical Visualization, Scikit Learn (Machine Learning Library), Network Model, Jupyter, NumPy, Graph Theory, Data Manipulation, Natural Language Processing, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      34K reviews

      Intermediate · Specialization · 3 - 6 Months

    What brings you to Coursera today?

    • I

      IBM

      Data Visualization with Python

      Skills you'll gain: Data Visualization Software, Plotly, Data Visualization, Dashboard, Interactive Data Visualization, Matplotlib, Seaborn, Data Presentation, Data Analysis, Geospatial Information and Technology, Pandas (Python Package), Scatter Plots, Histogram, Heat Maps, Box Plots

      4.5
      Rating, 4.5 out of 5 stars
      ·
      12K reviews

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Data Ethics, Applied Machine Learning, Computer Vision, Machine Learning, Unsupervised Learning, Artificial Intelligence, Information Privacy, Performance Testing, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Specialization · 1 - 3 Months

    • I

      Interactive Brokers

      Practical Guide to Trading

      Skills you'll gain: Derivatives, Equities, Futures Exchange, Risk Analysis, Financial Trading, International Finance, Investments, Securities Trading, Financial Market, Risk Management, Financial Statement Analysis, Financial Analysis, Market Analysis, Analysis, Capital Markets, Tax, Balance Sheet, Financial Regulations, Market Data, Technical Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      751 reviews

      Beginner · Specialization · 3 - 6 Months

    • T

      Tableau Learning Partner

      Data Visualization with Tableau

      Skills you'll gain: Data Visualization Software, Interactive Data Visualization, Tableau Software, Data Presentation, Tree Maps, Dashboard, Heat Maps, Geospatial Mapping, Data Storytelling, Data Manipulation, Data Mapping, Business Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      121 reviews

      Beginner · Course · 1 - 3 Months

    • I

      Indian School of Business

      Trading Strategies in Emerging Markets

      Skills you'll gain: Financial Statements, Peer Review, Financial Statement Analysis, Financial Trading, Balance Sheet, Portfolio Management, Data Collection, Market Liquidity, Market Data, Investment Management, Financial Analysis, Performance Analysis, Financial Market, Market Dynamics, Project Design, Market Analysis, Business Planning, Securities Trading, Performance Measurement, Technical Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      2.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Share Data Through the Art of Visualization

      Skills you'll gain: Data Storytelling, Data Literacy, Data Visualization, Data Presentation, Interactive Data Visualization, Tableau Software, Presentations, Data Visualization Software, Dashboard, Web Content Accessibility Guidelines

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.6K reviews

      Beginner · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular charting courses

    • Applied Plotting, Charting & Data Representation in Python: University of Michigan
    • Microsoft Data Visualization: Microsoft
    • Data Analysis and Visualization Foundations: IBM
    • Data Visualization with Tableau: University of California, Davis
    • Advanced Data Visualization with Tableau: Tableau Learning Partner
    • Applied Data Science with Python: University of Michigan
    • Data Visualization with Python: IBM
    • Generative Adversarial Networks (GANs): DeepLearning.AI
    • Practical Guide to Trading: Interactive Brokers
    • Data Visualization with Tableau: Tableau Learning Partner

    Skills you can learn in Business Essentials

    Analytics (37)
    Presentation (33)
    Modeling (29)
    Business Analytics (27)
    Language (26)
    Microsoft Excel (26)
    Writing (26)
    Speech (18)
    Plan (17)
    Business Communication (16)
    Decision-making (16)
    Leadership (15)

    Frequently Asked Questions about Charting

    Charting is a graphical representation or visualization of data using different types of charts, such as line charts, bar charts, or pie charts. It helps in showcasing patterns, trends, and relationships within the data, making it easier to understand and interpret. Charting is commonly used in various fields like finance, business, science, and statistics to present information clearly and concisely.‎

    To learn charting, you will need to acquire the following skills:

    1. Data Analysis: Understanding how to analyze and manipulate data is crucial for charting. You should be comfortable working with spreadsheets, databases, and data visualization tools.

    2. Statistical Knowledge: Having a basic understanding of statistical concepts such as mean, median, mode, standard deviation, and correlation will help you interpret and represent data accurately in charts.

    3. Data Visualization: Learning different chart types and their appropriate usage is essential. You should be familiar with bar charts, line charts, scatter plots, pie charts, and other visual representations of data.

    4. Graphical Design: Having basic design skills will help you create visually appealing and clear charts. Consider learning about color schemes, fonts, and layout techniques to improve the readability of your charts.

    5. Familiarity with Charting Tools: Acquaint yourself with popular charting tools such as Microsoft Excel, Google Sheets, Tableau, or other specialized charting software. Learning how to use these tools effectively will enhance your charting capabilities.

    6. Storytelling with Data: Effective charting involves presenting data in a meaningful way to convey a story or message. Learn how to communicate insights through your charts and tell compelling narratives using data.

    Remember that charting skills can be developed through a combination of theoretical knowledge and practical application. Consider taking online courses, tutorials, or participating in workshops to enhance your charting skills.‎

    With charting skills, you can explore a variety of job opportunities across various industries. Some potential job roles that require charting skills include:

    1. Data Analyst: Charting skills are essential for data analysts as they involve visualizing data patterns and creating insightful charts and graphs to present findings to stakeholders.

    2. Business Intelligence Analyst: These professionals leverage charting skills to translate complex data sets into easily understandable visualizations that aid in decision-making and business strategy.

    3. Financial Analyst: Charting skills are valuable for financial analysts to analyze financial data, create charts, and graphs reflecting market trends, financial ratios, and company performance.

    4. Market Research Analyst: Charting skills are crucial in market research to visually represent data collected from surveys, interviews, and other sources, helping organizations understand market trends and consumer preferences.

    5. UX Designer: UX designers use charts and graphs to communicate user research findings, interactions, and user flow, enabling them to create experiences that align with user needs and expectations.

    6. Project Manager: Charting skills can be beneficial for project managers to create Gantt charts, timelines, and other visual representations of project progress, facilitating effective project planning and communication.

    7. Sales Analyst: These professionals use charting skills to analyze sales data, create visual sales dashboards, and track progress towards sales targets, providing insights for sales strategies and performance improvement.

    8. Supply Chain Analyst: Charting skills are valuable for supply chain analysts in visualizing and interpreting supply chain data, including inventory levels, production efficiency, and delivery performance, to optimize logistics processes.

    9. Marketing Analyst: In marketing, charting skills are utilized to create visual reports on key performance indicators (KPIs), campaign metrics, customer segmentation, and return on investment (ROI) analysis.

    10. Human Resources Analyst: HR analysts rely on charting skills to create visual representations of workforce data, such as employee demographics, performance metrics, and training needs, to develop HR strategies and policies.

    These are just a few examples, and charting skills can be valuable in many other professions that require data interpretation and visualization.‎

    People who are analytical, detail-oriented, and have a strong interest in data visualization are best suited for studying charting. Additionally, individuals who work in fields such as finance, data analysis, marketing, or research may find charting skills particularly valuable in their careers.‎

    There are several topics related to charting that you can study. Some of the key areas include:

    1. Data visualization: Learn about the principles and techniques of visualizing data using charts and graphs. Explore different chart types, color palettes, and design principles to effectively communicate information.

    2. Statistical analysis: Gain a deeper understanding of statistical concepts and techniques used in analyzing data and creating meaningful charts. Learn about statistical analysis methods like correlation, regression, hypothesis testing, and more.

    3. Data analysis and interpretation: Develop skills in interpreting data and deriving insights. Understand how to select appropriate charts based on the data type and research question, and comprehend how to present findings accurately.

    4. Excel and spreadsheet software: Master the various features and functionalities of spreadsheet software like Microsoft Excel or Google Sheets. These tools provide powerful charting capabilities that allow you to create, customize, and analyze charts effectively.

    5. Data storytelling: Learn how to use charts as storytelling tools to convey a compelling narrative with data. Explore techniques for effectively communicating findings and insights to different audiences using charts as visual aids.

    6. Business analytics: Dive into the field of business analytics and understand how charts and data visualization play a significant role in decision-making processes. Explore techniques for using charts to analyze trends, identify patterns, and make data-driven decisions in various business contexts.

    7. Web development: If you are interested in creating interactive and dynamic charts, acquiring knowledge in web development is relevant. Learn programming languages such as JavaScript, HTML, and CSS, and explore libraries and frameworks such as D3.js to create visually appealing and responsive charts for web applications.

    Remember, these are just some of the areas related to charting that you can study. Depending on your interests and goals, you can further specialize in specific industries or applications like finance, marketing, healthcare, or environmental sciences, where charting plays a crucial role in data analysis and presentation.‎

    Online Charting courses offer a convenient and flexible way to enhance your knowledge or learn new Charting is a graphical representation or visualization of data using different types of charts, such as line charts, bar charts, or pie charts. It helps in showcasing patterns, trends, and relationships within the data, making it easier to understand and interpret. Charting is commonly used in various fields like finance, business, science, and statistics to present information clearly and concisely. skills. Choose from a wide range of Charting courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Charting, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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