
Skills you'll gain: Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Data Analysis, Data Manipulation, Microsoft Office, Data Mining
★ 4.7 (4.8K) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Process Analysis, Process Modeling, Business Process, Business Analysis, Process Mapping, Process Management, Process Flow Diagrams, Business Process Modeling, Business Modeling, Stakeholder Management, Stakeholder Analysis, Computer Literacy
★ 4.5 (7.6K) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Financial Statement Analysis, Financial Statements, Financial Analysis, Operational Analysis, Financial Modeling, Performance Metric, Accounting, Finance, Investments
★ 4.6 (218) · Intermediate · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Google Analytics, Web Analytics and SEO, Statistical Reporting, Data-Driven Marketing, Analytics, Data Analysis, User Accounts
★ 4.4 (1.5K) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Dashboard, Digital Marketing Tools, Data Visualization, Data Entry, Google Sheets, Spreadsheet Software, Management Reporting, Business Reporting, Marketing Analytics, Market Analysis, Query Languages, Digital Marketing, Data Management, Data Validation
★ 4.6 (16) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Analysis, Statistical Reporting, Data Cleansing, Data Wrangling, Microsoft Excel, Data Analysis Software, Data Manipulation, Data Preprocessing, Data Quality, Excel Formulas
★ 4.4 (62) · Intermediate · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Brainstorming, Root Cause Analysis, Collaborative Software, Ideation, Business Analysis, Problem Management, Design Thinking, Business Process Management
★ 4.5 (31) · Beginner · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Plotly, Exploratory Data Analysis, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Interactive Data Visualization, Data Analysis, Python Programming
★ 4 (51) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Ggplot2, Model Evaluation, Plot (Graphics), Regression Analysis, Predictive Analytics, Predictive Modeling, Statistical Visualization, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, R (Software), Exploratory Data Analysis, Descriptive Analytics, Statistical Analysis, Data Analysis
★ 4.2 (13) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Shiny (R Package), Interactive Data Visualization, Dashboard, Dashboard Creation, Data Visualization Software, R Programming, R (Software), Data Wrangling, User Interface (UI) Design, Ggplot2, Data Manipulation, Data Integration, Data Import/Export
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Data Manipulation, Analysis
★ 4.5 (393) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Agile Product Development, Wireframing, Product Roadmaps, Journey Mapping, Agile Methodology, Customer experience improvement, Agile Project Management, Persona Development, Prototyping, Experience Design, User Story, Product Development, New Product Development, Customer Analysis, Product Strategy, Process Analysis
★ 4.6 (93) · Intermediate · Guided Project · Less Than 2 Hours
High-quality free Data Analysis courses you can start today.
Top-rated Data Analysis courses offered by Coursera on Coursera.
Top-rated beginner-friendly Data Analysis courses with no prerequisites.
Quick Data Analysis courses you can complete in a few hours or less.
Data analysis is the process of inspecting, cleansing, transforming, and modeling data to discover useful information, inform conclusions, and support decision-making. It is important because it enables organizations to make data-driven decisions, identify trends, and improve efficiency. In today's data-driven world, the ability to analyze data effectively is crucial for businesses and individuals alike, as it can lead to better strategies and outcomes.
In the field of data analysis, various job roles are available, including data analyst, business intelligence analyst, data scientist, and data engineer. These positions often require a blend of analytical skills, technical expertise, and domain knowledge. As organizations increasingly rely on data to drive their operations, the demand for skilled professionals in data analysis continues to grow, offering numerous opportunities for career advancement.
To succeed in data analysis, you need to develop a range of skills, including statistical analysis, data visualization, programming (often in languages like Python or R), and proficiency in tools such as Excel and SQL. Additionally, understanding data management and having strong problem-solving abilities are essential. These skills will empower you to interpret data effectively and communicate insights to stakeholders.
There are many online courses available for data analysis that cater to different skill levels and interests. Some notable options include the Data Analysis and Interpretation Specialization, which covers essential techniques and tools, and the Data Analysis with Python Specialization, which focuses on using Python for data analysis tasks. These courses provide valuable knowledge and practical experience.
Yes. You can start learning data analysis on Coursera for free in two ways:
If you want to keep learning, earn a certificate in data analysis, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.
To learn data analysis, start by identifying the specific areas you want to focus on, such as statistical analysis or data visualization. Enroll in relevant online courses, practice with real datasets, and work on projects to apply your skills. Engaging with communities and forums can also provide support and additional resources as you progress in your learning journey.
Typical topics covered in data analysis courses include data cleaning, exploratory data analysis, statistical methods, data visualization techniques, and the use of software tools like Excel, Python, and R. Courses may also touch on advanced topics such as machine learning and big data analytics, depending on the level and focus of the program.
For training and upskilling employees in data analysis, courses like the Microsoft Generative AI for Data Analysis Professional Certificate and the AI-Enhanced Data Analysis: From Raw Data to Deep Insights Specialization are excellent choices. These programs are designed to equip professionals with the necessary skills to analyze data effectively and leverage insights for business growth.