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.
Beginner · Professional Certificate

Microsoft
Skills you'll gain: Power BI, Dashboard Creation, Data Visualization, Microsoft Excel, Advanced Analytics, Data Integrity, Data Analysis, Data Storage, Business Intelligence, Model Optimization, Descriptive Statistics, Creative Design, SQL, Data Wrangling, Data Entry, Data Security, Data Import/Export, Data Analysis Software, Data Maintenance, Design
★ 4.6 (9.7K) · Beginner · Professional Certificate · 3 - 6 Months

IBM
Skills you'll gain: Data Storytelling, Dashboard Creation, Dashboard, Data Presentation, Plotly, Data Visualization Software, Web Scraping, Data Visualization, SQL, Data Mining, Interactive Data Visualization, Extract, Transform, Load, IBM Cognos Analytics, Data Analysis, Excel Formulas, Exploratory Data Analysis, Professional Networking, Analytics, Python Programming, Microsoft Excel
★ 4.6 (100K) · Beginner · Professional Certificate · 3 - 6 Months
Skills you'll gain: Statistics, Descriptive Statistics, Logistic Regression, Decision Tree Learning, Advanced Analytics, Probability & Statistics, Probability Distribution, Statistical Inference, Applied Machine Learning, Data-Driven Decision-Making, Supervised Learning, Workflow Management, Statistical Methods, Statistical Programming, Data Cleansing, Data Manipulation, Data Structures, Interviewing Skills, NumPy, Google Gemini
★ 4.8 (13K) · Advanced · Professional Certificate · 3 - 6 Months

Skills you'll gain: Data Visualization, Data Storytelling, Power BI, Dashboard, Data Presentation, Transact-SQL, SQL, Microsoft SQL Servers, Excel Formulas, Microsoft Excel, Pivot Tables And Charts, Data Cleansing, Transaction Processing, Prompt Engineering, Data Manipulation, Data Processing, Data Analysis, Dashboard Creation, Business Intelligence, Data Management
★ 4.6 (1.5K) · Beginner · Specialization · 3 - 6 Months

Microsoft
Skills you'll gain: Excel Formulas, Microsoft Power Platform, Business Process Modeling, User Story, Business Requirements, Stakeholder Management, Data Modeling, Process Modeling, Microsoft Excel, Software Development Life Cycle, Requirements Analysis, Requirements Elicitation, Quality Management, Diagram Design, Power BI, Pivot Tables And Charts, Microsoft Visio, Microsoft Power Automate/Flow, Business Analysis, Data Analysis
★ 4.6 (1.6K) · Beginner · Professional Certificate · 3 - 6 Months

Tableau Learning Partner
Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Requirements Elicitation, Ad Hoc Reporting, Data Presentation, Data Governance, Data Ethics, Tableau Software, Business Analysis, Data Literacy, Data Visualization, Data Preprocessing, Data Visualization Software, Data Warehousing, Business Metrics, Dashboard, Dashboard Creation, Data Analysis, Spatial Data Analysis, Data Management
★ 4.7 (1.2K) · Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Extract, Transform, Load, Data Storytelling, Data Visualization, Database Design, Tableau Software, Presentations, Descriptive Statistics, IBM DB2, Business Intelligence, Data Presentation, Statistical Hypothesis Testing, Dashboard Creation, Dashboard, Excel Formulas, Relational Databases, Data Visualization Software, IBM Cognos Analytics, Interactive Data Visualization, Microsoft SQL Servers, Regression Analysis
★ 4.7 (16K) · Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Data Storytelling, Data Wrangling, Exploratory Data Analysis, Database Design, Data Mining, Extract, Transform, Load, Ggplot2, Data Presentation, Data Visualization Software, Data Visualization, Relational Databases, Excel Formulas, Data Collection, Interactive Data Visualization, Dashboard, Microsoft Excel, Analytical Skills, Data Manipulation, Data Analysis, Web Scraping
★ 4.7 (32K) · Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Data Storytelling, Data Mining, Extract, Transform, Load, Data Presentation, Data Analysis, Excel Formulas, Interactive Data Visualization, Dashboard, Data Visualization Software, Data Visualization, Analysis, Microsoft Excel, Analytics, IBM Cognos Analytics, Big Data, Analytical Skills, Data Storage Technologies, Dashboard Creation, Pivot Tables And Charts, Spreadsheet Software
★ 4.7 (31K) · Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Data Storytelling, Web Scraping, Google Sheets, Data Visualization, Data Presentation, Statistical Visualization, Spreadsheet Software, Tableau Software, Data Literacy, Dashboard, LinkedIn, Pandas (Python Package), Time Series Analysis and Forecasting, Probability & Statistics, Extract, Transform, Load, Statistical Analysis, Statistics, Data Manipulation, Data Analysis, Descriptive Statistics
★ 4.7 (297) · Beginner · Professional Certificate · 3 - 6 Months
Top-rated Data Analytics courses offered by IBM on Coursera.
Earn a certificate in Data Analytics from top universities and companies.
Top-rated beginner-friendly Data Analytics courses with no prerequisites.
Data analytics is the process of collecting, cleaning, analyzing, and interpreting data to support better decisions. It often involves working with spreadsheets, databases, visualization tools, and statistical methods to find patterns or answer practical questions. Courses such as Introduction to Data Analytics from IBM and Foundations: Data, Data, Everywhere from Google introduce core concepts like data types, data-driven decision-making, and the analytics workflow. On Coursera, you can start with foundational courses and then move into tools like SQL, Excel, R, and Power BI as your confidence grows.‎
Data analytics is used in roles such as data analyst, business analyst, operations analyst, marketing analyst, financial analyst, and product analyst. These jobs often involve organizing data, creating reports or dashboards, identifying trends, and communicating insights to teams or stakeholders. Courses on this page, such as Google Data Analytics and Microsoft Data Analysis with SQL, Excel & Power BI, focus on practical skills that connect to common workplace analysis tasks. Exploring different courses can help you understand which tools and applications fit the type of role or industry you are considering.‎
Before learning data analytics, it helps to be comfortable with basic math, spreadsheets, and logical problem-solving. You do not need an advanced technical background to begin, but familiarity with tables, charts, percentages, and simple formulas can make early lessons easier to follow. Beginner-friendly options like Foundations: Data, Data, Everywhere from Google and Introduction to Data Analytics from IBM are designed to introduce the field step by step. If you are new to the topic, starting with general analytics concepts before moving into SQL, R, or visualization tools can be a useful path.‎
Skills that complement data analytics include SQL, spreadsheet analysis, data visualization, statistics, programming, and communication. SQL helps you work with databases, while Excel and visualization tools can help you organize findings and present them clearly. Courses in the page context include Microsoft Data Analysis with SQL, Excel & Power BI, Excel Skills for Data Analytics and Visualization from Macquarie University, and IBM Data Analytics with Excel and R. Building a mix of technical and communication skills can help you turn data into insights that others can understand and use.‎
You can start learning data analytics by taking an introductory course that explains the analytics process and basic tools. A good first step is to learn how data is collected, cleaned, analyzed, visualized, and used to support decisions. Courses such as Google Data Analytics, IBM Introduction to Data Analytics, and DeepLearning.AI Data Analytics offer structured ways to build from foundational concepts into applied practice. As you progress, you can choose courses focused on tools like Excel, SQL, Power BI, or R depending on your goals and comfort level.‎
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.‎
Strong beginner courses for data analytics include Introduction to Data Analytics from IBM, Foundations: Data, Data, Everywhere from Google, and Google Data Analytics. These courses introduce core ideas such as asking data-informed questions, preparing data, analyzing results, and sharing insights. If you want to build tool-specific skills early, Excel Skills for Data Analytics and Visualization from Macquarie University or Microsoft Data Analysis with SQL, Excel & Power BI may also be helpful. Comparing course descriptions, skill lists, and difficulty levels on Coursera can help you choose a starting point that matches your background.‎
Data analytics courses typically cover data collection, data cleaning, exploratory analysis, visualization, basic statistics, and communicating insights. Many courses also introduce tools such as spreadsheets, SQL, R, Power BI, or other analytics platforms used to work with real datasets. For example, IBM Data Analytics with Excel and R focuses on Excel and R, while Microsoft Data Analysis with SQL, Excel & Power BI emphasizes common business analysis tools. Coursera course selections let you choose between broad introductions, tool-focused training, and more advanced analytics topics as your skills develop.‎