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: Microsoft Excel, Excel Formulas, Spreadsheet Software, Pivot Tables And Charts, Data Analysis, Data Manipulation, Microsoft Office, Data Mining
Intermediate · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Google Analytics, Web Analytics, Content Performance Analysis, Marketing Analytics, Dashboard, User Accounts
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Dashboard, Microsoft Excel, Microsoft 365, Microsoft Office, Spreadsheet Software, Data Visualization, Trend Analysis, Data Analysis
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Transformation, Power BI, Data Manipulation, Data Cleansing, Data Processing, Dashboard, Data Visualization, Data Presentation, Data Import/Export, Interactive Data Visualization, Data Visualization Software, Business Intelligence, Data Storytelling, Data Modeling, Business Reporting
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Data-Driven Decision-Making, Data Visualization, Business Analytics, Data Analysis, Data Cleansing, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Matplotlib, Data Manipulation, Customer Analysis, Analytical Skills, Trend Analysis, Pandas (Python Package), Python Programming, Jupyter
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: MySQL Workbench, Data-Driven Decision-Making, Exploratory Data Analysis, MySQL, Business Analytics, Data Analysis, Database Design, SQL, Analytical Skills, Data Presentation, Technical Communication, Relational Databases
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Presentations, Microsoft PowerPoint, Data Visualization, Data Storytelling, Video Editing
Beginner · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Data Visualization, Data Literacy, Data Presentation, Google Sheets, Data Compilation, Data Visualization Software, Graphing, Spreadsheet Software
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Excel Formulas, Google Sheets, Service Level, Spreadsheet Software, Customer Data Management, Customer Support, Data Entry, Data Validation, Process Analysis, Data Analysis, Data Integration, Organizational Skills, Data Management
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Google Sheets, Data Visualization, Spreadsheet Software, Data Presentation, Data Analysis, Data Visualization Software, Business Analytics, Productivity Software, Business Analysis, Data Manipulation, Descriptive Statistics, Analysis, Statistics, Excel Formulas, Data Cleansing, Mathematical Software
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Google Analytics, Web Analytics, Marketing Analytics, Customer Insights, Analysis, Target Audience, Marketing
Intermediate · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Google Analytics, Ad Hoc Reporting, Management Reporting, Performance Reporting, Web Analytics, Marketing, Web Development
Intermediate · Guided Project · Less Than 2 Hours
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.‎