Analysis courses can help you learn data interpretation, statistical methods, and predictive modeling. You can build skills in critical thinking, data visualization, and hypothesis testing. Many courses introduce tools like Excel, R, and Python, that support analyzing datasets and automating processes. You'll also explore key topics such as regression analysis, time series forecasting, and data mining techniques, equipping you to make informed decisions based on quantitative insights.

Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Model Evaluation, Data Analysis, Predictive Modeling, Data Pipelines, Data Import/Export, Regression Analysis, Data Science, Pandas (Python Package), Data Manipulation, Predictive Analytics, Data Cleansing, Statistical Analysis, Scikit Learn (Machine Learning Library), Data Preprocessing, Matplotlib, Data Visualization, Scatter Plots, Python Programming
Intermediate · Course · 1 - 3 Months

London Business School
Skills you'll gain: Financial Statement Analysis, Financial Analysis, Financial Statements, Balance Sheet, Financial Reporting, Financial Modeling, Income Statement, Return On Investment, Accounting, Investments, Cash Flows, Asset Management
Beginner · Course · 1 - 4 Weeks
Duke University
Skills you'll gain: Bayesian Statistics, Sampling (Statistics), Exploratory Data Analysis, Statistical Hypothesis Testing, Statistical Inference, Peer Review, Regression Analysis, Probability Distribution, Statistical Software, Statistical Analysis, Probability, Statistical Reporting, Data Analysis, R (Software), Statistics, Probability & Statistics, Statistical Modeling, R Programming, Statistical Methods, Data Visualization
Beginner · Specialization · 3 - 6 Months

Microsoft
Skills you'll gain: Stakeholder Management, Business Analysis, Project Management, Stakeholder Analysis, Analysis, Requirements Elicitation, Risk Management, Microsoft Power Platform, Business Process Improvement, Problem Management
Beginner · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Skills you'll gain: Financial Statements, Financial Statement Analysis, Financial Forecasting, Financial Accounting, Variance Analysis, Financial Analysis, Income Statement, Balance Sheet, Performance Measurement, Management Accounting, Return On Investment, Revenue Forecasting, Financial Management, Profit and Loss (P&L) Management, Cost Management, Financial Data, Budgeting, Finance, Accounting, Cash Flows
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Requirements Elicitation, Business Analysis, Backlogs, Requirements Management, Stakeholder Engagement, Business Process, User Story, Business Requirements, Requirements Analysis, Business Modeling, Business Risk Management, Business Intelligence, Business Strategies, Financial Analysis, Performance Measurement, Business Process Modeling, Systems Analysis, Root Cause Analysis, Business Planning, Stakeholder Analysis
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Cleansing, Pivot Tables And Charts, Data Analysis, Excel Formulas, Microsoft Excel, Data Wrangling, Spreadsheet Software, Data Science, Data Entry, Data Manipulation, Data Quality, Information Privacy, Google Sheets, Data Import/Export
Beginner · Course · 1 - 3 Months
Rice University
Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Graphing, Statistical Methods, Regression Analysis, Pivot Tables And Charts, Statistics, Descriptive Statistics, Spreadsheet Software, Probability & Statistics, Probability Distribution, Excel Formulas, Business Analytics, Statistical Modeling, Statistical Analysis, Statistical Inference, Data Analysis, Data Presentation, Model Evaluation, Sample Size Determination
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Process Analysis, Business Process, Business Analysis, Workflow Management, Process Management, Process Flow Diagrams, Business Process Modeling, Stakeholder Management, Stakeholder Analysis, Computer Literacy
Beginner · Guided Project · Less Than 2 Hours

Fractal Analytics
Skills you'll gain: Database Design, Data Manipulation, SQL, Relational Databases, Database Management, Data Analysis, Data Cleansing, Databases, Query Languages, Data Transformation, MySQL Workbench, Data Integrity
Beginner · Course · 1 - 3 Months

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

Wesleyan University
Skills you'll gain: Integral Calculus, Mathematical Theory & Analysis, Algebra, Advanced Mathematics, Geometry, Calculus, Trigonometry, Graphing
Intermediate · Course · 1 - 3 Months
Analysis refers to the systematic examination and interpretation of data to extract meaningful insights and inform decision-making. It plays a crucial role in various fields, including business, healthcare, and technology, as it helps organizations understand trends, identify problems, and develop strategies for improvement. By leveraging analysis, individuals and teams can make informed choices that drive success and innovation.‎
A variety of job opportunities exist in the field of analysis. Common roles include data analyst, business analyst, financial analyst, and market research analyst. These positions often require individuals to interpret data, create reports, and provide actionable insights to stakeholders. Additionally, specialized roles such as data scientist or analytics consultant are also available, particularly for those with advanced skills in statistical analysis and programming.‎
To succeed in analysis, several key skills are essential. Proficiency in data manipulation tools, such as Excel or SQL, is crucial, along with a solid understanding of statistical concepts. Analytical thinking and problem-solving abilities are also important, as they enable individuals to interpret data effectively. Familiarity with data visualization tools can enhance communication of insights, making it easier to share findings with others.‎
There are numerous online courses available for those interested in analysis. Some of the best options include the Data Analysis and Interpretation Specialization and the Business Statistics and Analysis Specialization. These programs cover essential concepts and tools, providing learners with the skills needed to excel in various analytical roles.‎
Yes. You can start learning analysis on Coursera for free in two ways:
If you want to keep learning, earn a certificate in analysis, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎
Learning analysis can be approached through a combination of online courses, practical exercises, and real-world projects. Start by enrolling in foundational courses that cover the basics of data analysis. As you progress, engage in hands-on projects to apply your skills. Additionally, participating in online forums or study groups can provide support and enhance your learning experience.‎
Typical topics covered in analysis courses include data collection methods, statistical analysis techniques, data visualization, and interpretation of results. Courses often explore tools such as Excel, SQL, and programming languages like Python or R. Learners may also study case studies to understand how analysis is applied in real-world scenarios, enhancing their practical knowledge.‎
For training and upskilling employees in analysis, courses like the AI-Powered Business Analysis: Excel, KPIs & GenAI Specialization and the Certified Business Analysis Professional‚Ñ¢ (CBAP¬Æ) Specialization are excellent choices. These programs provide comprehensive training that equips employees with the necessary skills to analyze data effectively and contribute to their organization's success.‎