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Analysis Courses

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.


Popular Analysis Courses and Certifications


  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Analysis with Python

    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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    L

    London Business School

    Fundamentals of Financial Analysis

    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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    110 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Analysis with R

    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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Business Analysis Fundamentals

    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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Financial Analysis - Skills for Success

    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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    478 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Starweaver

    Certified Business Analysis Professional™ (CBAP®)

    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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    326 reviews

    Intermediate · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    I

    IBM

    Excel Basics for Data Analysis

    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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Business Statistics and Analysis

    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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Business Analysis & Process Management

    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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    7.3K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Data Analysis Using SQL

    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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    53 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Introduction to Data Analysis using Microsoft Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Pivot Tables And Charts, Data Analysis, Data Manipulation, Microsoft Office, Data Mining

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.6K reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    W

    Wesleyan University

    Introduction to Complex Analysis

    Skills you'll gain: Integral Calculus, Mathematical Theory & Analysis, Algebra, Advanced Mathematics, Geometry, Calculus, Trigonometry, Graphing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular analysis courses

  • Data Analysis with Python: IBM
  • Fundamentals of Financial Analysis : London Business School
  • Data Analysis with R: Duke University
  • Business Analysis Fundamentals: Microsoft
  • Financial Analysis - Skills for Success: University of Illinois Urbana-Champaign
  • Certified Business Analysis Professionalâ„¢ (CBAP®): Starweaver
  • Excel Basics for Data Analysis: IBM
  • Business Statistics and Analysis: Rice University
  • Business Analysis & Process Management: Coursera
  • Data Analysis Using SQL: Fractal Analytics

Frequently Asked Questions about Analysis

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:

  1. Preview the first module of many analysis courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

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.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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