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Charting Courses

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.


Popular Charting Courses and Certifications


  • Status: New
    New
    P

    Packt

    PowerPoint Data Viz – Business Charting Techniques

    Skills you'll gain: Data Visualization, Microsoft PowerPoint, Data Storytelling, Microsoft Excel, Trend Analysis

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Plotting, Charting & Data Representation in Python

    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

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Visualization and Dashboards with Excel and Cognos

    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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Visualization & Analytics in Tableau

    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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    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

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

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Data Science with Python

    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

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

    Intermediate · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    U

    Universidad de los Andes

    Analítica de Datos en Finanzas​

    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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    215 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Share Data Through the Art of Visualization

    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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    Must-Know Concepts - Basic requirements for data analysis

    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

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Advanced Tableau

    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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    28 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Visualization

    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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Data Visualization Best Practices

    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

    3.9
    Rating, 3.9 out of 5 stars
    ·
    20 reviews

    Mixed · Course · 1 - 4 Weeks

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

  • PowerPoint Data Viz – Business Charting Techniques: Packt
  • Applied Plotting, Charting & Data Representation in Python: University of Michigan
  • Data Visualization and Dashboards with Excel and Cognos: IBM
  • Data Visualization & Analytics in Tableau: University of Colorado Boulder
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • Applied Data Science with Python: University of Michigan
  • Analítica de Datos en Finanzas​: Universidad de los Andes
  • Share Data Through the Art of Visualization: Google
  • Must-Know Concepts - Basic requirements for data analysis: Real Madrid Graduate School Universidad Europea
  • Advanced Tableau: Corporate Finance Institute

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 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:

  1. Preview the first module of many charting courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

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.‎

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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