Data visualization courses can help you learn how to create compelling charts, graphs, and dashboards, along with understanding data storytelling and visual design principles. You can build skills in interpreting data trends, selecting appropriate visual formats, and conveying insights effectively to diverse audiences. Many courses introduce tools like Tableau, Power BI, and D3.js, that support transforming raw data into visual narratives and making data-driven decisions in various fields.

Microsoft
Skills you'll gain: Graph Theory, Data Structures, Microsoft Copilot, .NET Framework, Algorithms, Back-End Web Development, C# (Programming Language), Performance Tuning, Programming Principles, Server Side, Scalability, Application Performance Management
Beginner · Course · 1 - 3 Months

Duke University
Skills you'll gain: Debugging, Java, Algorithms, Java Programming, Program Development, Programming Principles, Statistical Analysis, Software Design, Computer Programming, Data Import/Export, Integrated Development Environments, File I/O, Data Processing, Software Documentation, Data Manipulation, Object Oriented Programming (OOP), API Design, Data Analysis, Software Testing, Problem Solving
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Interactive Data Visualization, Data Storytelling, Data Visualization, Dashboard, Business Intelligence, Business Intelligence Software, Data Visualization Software, Data-Driven Decision-Making, Customer Analysis, Data Modeling, Data Analysis, Data Integration, Advanced Analytics, Spatial Data Analysis, Exploratory Data Analysis, Statistical Analysis, Data Transformation, Decision Support Systems, Collaborative Software, Data Validation
Advanced · Specialization · 1 - 3 Months

University of Pennsylvania
Skills you'll gain: Customer Analysis, Data-Driven Decision-Making, Descriptive Analytics, Marketing Analytics, Predictive Analytics, Customer Insights, Business Analytics, Analytics, Consumer Behaviour, Process Optimization, Data Collection, Regression Analysis, Market Research
Mixed · Course · 1 - 3 Months

Skills you'll gain: Classification And Regression Tree (CART), Minitab, Decision Tree Learning, Regression Analysis, Predictive Modeling, Statistical Modeling, Business Analytics, Advanced Analytics, Logistic Regression, Data-Driven Decision-Making, Scatter Plots, Plot (Graphics), Model Evaluation, Exploratory Data Analysis, Statistical Analysis, Case Studies, Responsible AI
Mixed · Course · 1 - 4 Weeks

Beginner · Course · 1 - 4 Weeks

Logical Operations
Skills you'll gain: Data Presentation, Data Visualization, Microsoft Excel, Data Visualization Software, Spreadsheet Software, Pivot Tables And Charts, Data Analysis, Data Science, Exploratory Data Analysis, Productivity Software, Microsoft Office, Microsoft 365
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Google Ads, Search Engine Optimization, Digital Marketing, Keyword Research, Target Audience, Search Engine Marketing, Pay Per Click Advertising, Persona Development, Marketing, Marketing Strategies, Advertising, Customer Engagement, Web Analytics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Dashboard, Exploratory Data Analysis, IBM Cognos Analytics, Statistical Analysis, Data Visualization, Data Wrangling, Data Analysis, Data Presentation, Data Cleansing, Interactive Data Visualization, Data Manipulation, Data Collection, Web Scraping, Data Storytelling, Pandas (Python Package), Scatter Plots, Matplotlib
Advanced · Course · 1 - 3 Months

Skills you'll gain: Advanced Analytics, Supply Chain Management, Business Analytics
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Database Design, SQL, MySQL, PHP (Scripting Language), Relational Databases, JSON, jQuery, Hypertext Markup Language (HTML), Javascript and jQuery, Ajax, Databases, Data Modeling, Database Application, Database Development, Debugging, Web Applications, Object Oriented Programming (OOP), Web Development, Secure Coding, Javascript
Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Text Mining, Dimensionality Reduction, Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Feature Engineering, Applied Machine Learning, Algorithms, Keras (Neural Network Library)
Intermediate · Specialization · 3 - 6 Months