Data analytics courses can help you learn data visualization, statistical analysis, and data cleaning techniques. You can build skills in interpreting complex datasets, making data-driven decisions, and communicating insights effectively. Many courses introduce tools like Excel, SQL, and Tableau, that support analyzing data and presenting findings. You'll also explore methods such as regression analysis and A/B testing, which are crucial for evaluating performance and optimizing strategies.

Skills you'll gain: Data Storytelling, Rmarkdown, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Data Validation, Ggplot2, Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, LinkedIn, Dashboard, Data Structures, Python Programming, Interviewing Skills, Professional Development
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Google Sheets, Business Analytics, Spreadsheet Software, Analytical Skills, Tableau Software, Data Sharing, Data Collection, Data Cleansing, Data Processing, Data Visualization Software, Data Visualization, SQL
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Presentation, Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Advanced Analytics, Data Analysis, Data Science, Tableau Software, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming
Build toward a degree
Advanced · Professional Certificate · 3 - 6 Months

Skills you'll gain: LinkedIn, Data Analysis, Data Processing, Spreadsheet Software, Case Studies, Google Analytics, Google Sheets, Analysis, Analytics, Analytical Skills, Interviewing Skills, Data Storytelling, Data Visualization Software, Business Analytics, Artificial Intelligence, Data-Driven Decision-Making, Portfolio Management, Research Reports, Data Cleansing, Data Visualization
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Regression Analysis, Data Storytelling, Advanced Analytics, Statistical Analysis, Data Analysis, Business Analysis, Project Design, Python Programming, Machine Learning Methods, Artificial Intelligence, Machine Learning, Portfolio Management, Project Documentation
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Data Wrangling, Package and Software Management, Data Analysis, Data Transformation, Unstructured Data, JSON, Object Oriented Programming (OOP), Data Science, Python Programming, Computer Programming, Programming Principles, Data Import/Export, Software Design, Data Validation, Mathematical Software, Computational Logic, Data Structures
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Business Analytics
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Modeling, Stakeholder Engagement, Database Design, Dashboard, Business Intelligence, Extract, Transform, Load, Tableau Software, Databases, Data Warehousing, Database Systems, Data Pipelines, Data-Driven Decision-Making, Data Visualization, Interviewing Skills, Business Process, Business Analysis, Professional Development, Google Gemini, Data Analysis, SQL
Build toward a degree
Advanced · Professional Certificate · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Productivity Software, Information Systems Security Assessment Framework (ISSAF), Operational Efficiency, Business Process Automation, Data Security, Critical Thinking, Analysis, Innovation
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Data Ethics, Data-Driven Decision-Making, Data Analysis, Analytics, Business Analytics, Data Storytelling, Big Data, Data Science, Communication, Stakeholder Communications, Workflow Management, Project Management, Artificial Intelligence
Advanced · Course · 1 - 3 Months

Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Statistical Hypothesis Testing, Data Analysis, Probability Distribution, Statistics, Data Science, Statistical Analysis, A/B Testing, Statistical Methods, Probability, Statistical Inference, Statistical Programming, Python Programming, Technical Communication
Advanced · Course · 1 - 3 Months

Skills you'll gain: Data Validation, Spreadsheet Software, Data Analysis, Analytics, Data Manipulation, Excel Formulas, Data Compilation, Pivot Tables And Charts, SQL, Data Integration, Data Transformation, User Feedback
Beginner · Course · 1 - 4 Weeks
Browse the data analytics courses below—popular starting points on Coursera.
Start by identifying your goals—whether you want to analyze data for business decisions, transition into a data analyst role, or explore tools like Excel, SQL, or Python.
The Google Data Analytics Professional Certificate spans 6 months focusing on:
In contrast, the IBM Data Analyst Professional Certificate lasts 4 months, emphasizing:
Both certificates prepare you for roles as data analysts or data scientists, with Google emphasizing data storytelling and data processing, while IBM goes deeper into exploratory data analysis and big data. Choose based on your preferred tools and the depth of learning you need.
These beginner-friendly courses are ideal for those new to analytics or working with data:
Click here to ask ChatGPT to find the right data analytics course on Coursera for your learning goals.
Yes. You can start learning data analytics on Coursera for free in two ways:
If you want to keep learning, earn a certificate in data analytics, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.
You’ll learn how to collect, organize, and interpret data to support decision-making. Topics include data wrangling, descriptive statistics, data visualization, and using analytics tools such as spreadsheets, SQL databases, R, or Python.
Not at all. Many beginner-friendly courses are designed for learners with no prior experience and provide step-by-step instruction. More advanced courses are also available for those with a background in math, programming, or business.
Yes. Data analytics is one of the most in-demand skill sets in business, tech, finance, and healthcare. Coursera courses can help you build a portfolio, earn job-ready certificates, and develop skills that support roles like data analyst, business analyst, or operations specialist.
Real-time analytics is the process of analyzing data immediately as it’s created or received. It’s used to make instant decisions in areas like fraud detection, live customer support, and system monitoring.