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    Analysis Courses Online

    Explore analysis techniques for interpreting data and solving problems. Learn statistical, financial, and qualitative analysis methods.

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    Explore the Analysis Course Catalog

    • P

      PwC

      Data Analysis and Presentation Skills: the PwC Approach

      Skills you'll gain: Analytics, Business Analytics, Data Analysis, Microsoft PowerPoint, Data Presentation, Presentations, Excel Formulas, Data-Driven Decision-Making, Dashboard, Data Storytelling, Business Intelligence, Microsoft Excel, Customer Analysis, Data Visualization, Data Visualization Software, Data Literacy, Big Data, Verbal Communication Skills, Data Cleansing, Spreadsheet Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Data Analysis with R

      Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, Data Transformation, R Programming, Data Manipulation, Data Visualization, Box Plots, Predictive Analytics, Statistical Analysis, Regression Analysis, Statistical Modeling, Correlation Analysis, Data Cleansing, Tidyverse (R Package), Supervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      333 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: AI skills
      AI skills
      I

      IBM

      IBM Data Analyst

      Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Wrangling, Data Visualization, Generative AI, SQL, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Big Data, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, Pandas (Python Package), Data Manipulation, Excel Formulas, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      91K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Pennsylvania

      Finance & Quantitative Modeling for Analysts

      Skills you'll gain: Return On Investment, Financial Reporting, Capital Budgeting, Financial Statements, Financial Modeling, Mathematical Modeling, Statistical Modeling, Regression Analysis, Business Modeling, Income Statement, Financial Analysis, Risk Analysis, Cash Flows, Business Mathematics, Financial Planning, Corporate Finance, Predictive Analytics, Spreadsheet Software, Google Sheets, Microsoft Excel

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      T

      The Hong Kong University of Science and Technology

      Python and Statistics for Financial Analysis

      Skills you'll gain: Statistical Inference, Statistical Methods, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Financial Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Financial Analysis: Portfolios, Risks, Strategic Decisions

      Skills you'll gain: Portfolio Management, Investment Management, Risk Management, Financial Management, Finance, Financial Market, Investments, Financial Planning, Financial Analysis, Asset Management, Risk Analysis, Financial Forecasting, Business Valuation, Market Dynamics, Quantitative Research

      4.4
      Rating, 4.4 out of 5 stars
      ·
      107 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      The Finite Element Method for Problems in Physics

      Skills you'll gain: Finite Element Methods, Differential Equations, Engineering Analysis, Numerical Analysis, Mathematical Modeling, Mathematical Theory & Analysis, Advanced Mathematics, Applied Mathematics, Linear Algebra, C++ (Programming Language), Calculus, Open Source Technology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      551 reviews

      Intermediate · Course · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Finite Element Analysis Convergence and Mesh Independence

      Skills you'll gain: Finite Element Methods, Simulation and Simulation Software, Cloud Engineering, Engineering Analysis, Simulations, Mechanical Design, Engineering Design Process, Verification And Validation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      219 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      FEM - Linear, Nonlinear Analysis & Post-Processing

      Skills you'll gain: Finite Element Methods, Engineering Analysis, Simulation and Simulation Software, Engineering Calculations, Mathematical Modeling, Structural Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      175 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • 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, Cash Flow Forecasting, Financial Management, Cost Management, Financial Data, Budgeting, Finance, Accounting, Business Valuation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      416 reviews

      Beginner · Specialization · 1 - 3 Months

    • R

      Rice University

      Business Statistics and Analysis

      Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Pivot Tables And Charts, Regression Analysis, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Analysis, Statistical Modeling, Excel Formulas, Data Analysis, Data Presentation, Statistics, Business Analysis, Statistical Methods, Sample Size Determination, Statistical Inference

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

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      T

      The State University of New York

      Practical Time Series Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Statistical Analysis, Data Analysis, Data Visualization, Mathematical Modeling, Statistical Modeling, Predictive Modeling, Correlation Analysis, Regression Analysis, Descriptive Statistics, Statistical Inference, Software Installation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Course · 1 - 3 Months

    Analysis learners also search

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    1234…531

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

    • Data Analysis and Presentation Skills: the PwC Approach: PwC
    • Data Analysis with R: IBM
    • IBM Data Analyst: IBM
    • Finance & Quantitative Modeling for Analysts: University of Pennsylvania
    • Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
    • Financial Analysis: Portfolios, Risks, Strategic Decisions: Coursera Instructor Network
    • The Finite Element Method for Problems in Physics: University of Michigan
    • Finite Element Analysis Convergence and Mesh Independence: Coursera Project Network
    • FEM - Linear, Nonlinear Analysis & Post-Processing: Coursera Project Network
    • Financial Analysis - Skills for Success: University of Illinois Urbana-Champaign

    Frequently Asked Questions about Analysis

    Analysis is the process of examining and evaluating information or data to gain a deeper understanding of it. It involves breaking down complex concepts or problems into their fundamental parts, studying and interpreting those parts, and drawing meaningful conclusions or making informed decisions based on the findings. Analysis can be applied to various fields, such as business, science, economics, and technology, and it plays a crucial role in problem-solving, decision-making, research, and learning.‎

    To pursue a career in Analysis, here are some of the skills you need to learn:

    1. Data Analysis: Understanding how to analyze and interpret data is crucial for any analyst. This includes the ability to collect, organize, and extract insights from large datasets using tools like Python, R, or Excel.

    2. Statistical Analysis: Proficiency in statistical concepts and techniques enables you to make data-driven decisions. Learning about probability, hypothesis testing, regression analysis, and other statistical models will be beneficial.

    3. Critical Thinking: Developing strong critical thinking skills allows you to approach problems logically, evaluate evidence, and come up with effective solutions. This skill is essential in analyzing complex data sets and identifying patterns or trends.

    4. Visualization: Being able to present data in a clear and visually appealing manner helps facilitate understanding and communicate insights effectively. Learning data visualization tools like Tableau or Power BI will enable you to create informative charts, graphs, and dashboards.

    5. Domain Knowledge: Depending on the industry or field you want to specialize in, having domain knowledge enhances your ability to analyze data effectively. Acquiring knowledge specific to the domains you wish to work in, such as finance, marketing, healthcare, or e-commerce, will provide valuable context for analysis.

    6. Problem-Solving: The ability to approach problems systematically and devise innovative solutions is crucial for an analyst. Developing problem-solving skills will enable you to identify patterns, detect anomalies, and propose practical recommendations based on the analysis.

    7. Communication: Strong communication skills are vital for presenting findings, collaborating with team members, and explaining complex analysis to non-technical stakeholders. Improving your written and verbal communication skills will enhance your effectiveness as an analyst.

    Remember, the field of analysis is diverse and constantly evolving, so being adaptable, continuously upskilling, and staying updated with the latest tools and techniques are also important factors for success.‎

    With analysis skills, you can pursue a wide range of job opportunities across various industries. Some common job roles that require strong analysis skills include:

    1. Data Analyst: This role involves collecting, interpreting, and analyzing large sets of data to uncover insights and help organizations make informed business decisions.

    2. Business Analyst: Business analysts are responsible for assessing business processes, identifying potential issues, and proposing improvements to enhance efficiency and profitability.

    3. Financial Analyst: Financial analysts evaluate investment opportunities, conduct financial research, and provide insights and recommendations to assist in decision-making for investment firms or corporate finance departments.

    4. Market Research Analyst: Market research analysts gather and analyze data about market trends, competitors, and consumer preferences to help businesses make informed decisions about their products and services.

    5. Operations Analyst: Operations analysts focus on improving operational efficiency by conducting data analysis, identifying bottlenecks, and suggesting process improvements.

    6. Business Intelligence Analyst: Business intelligence analysts work with data to extract meaningful insights, develop reports and dashboards, and provide strategic recommendations to enhance business performance.

    7. Management Consultant: Management consultants use analytical skills to evaluate organizations, identify problems, develop strategies, and provide recommendations for improvement across various industries.

    8. Risk Analyst: Risk analysts assess potential risks and develop strategies to mitigate them for financial institutions, insurance companies, or organizations operating in risk-prone sectors.

    9. Marketing Analyst: Marketing analysts use data analysis techniques to understand consumer behavior, identify customer segments, measure campaign effectiveness, and optimize marketing strategies.

    10. Healthcare Data Analyst: Healthcare data analysts assess healthcare data, identify patterns, and provide insights to improve patient care, optimize operational efficiency, and make informed decisions in the healthcare industry.

    Remember, analysis skills are highly versatile, and these job roles are just a few examples of the potential career paths available with strong analysis skills.‎

    People who are logical, detail-oriented, and enjoy problem-solving are best suited for studying Analysis. This field requires individuals who can think critically, analyze data, and draw meaningful conclusions. Strong mathematical and analytical skills are also essential for success in this area of study. Additionally, individuals who have a natural curiosity and a passion for understanding complex systems will thrive in the field of Analysis.‎

    There are several topics that are related to analysis that you can study. Some of them include:

    1. Data Analysis: This involves studying techniques and methods to analyze and interpret data to make informed decisions or derive meaningful insights.

    2. Financial Analysis: This focuses on studying financial statements and using various analytical tools to evaluate the financial health and performance of companies or investments.

    3. Business Analysis: This field involves analyzing business processes, identifying areas for improvement, and developing strategies to enhance efficiency and profitability.

    4. Statistical Analysis: Statistical analysis involves the study of statistical methods and techniques to analyze data, test hypotheses, and make predictions.

    5. SWOT Analysis: This is a strategic planning technique that involves analyzing an organization's Strengths, Weaknesses, Opportunities, and Threats, to make informed business decisions.

    6. Risk Analysis: This field involves studying techniques to identify, assess, and mitigate potential risks or uncertainties in various domains such as finance, engineering, or project management.

    7. Cost-Benefit Analysis: This involves analyzing the costs and benefits of a particular course of action or investment to determine its viability and potential returns.

    8. Market Analysis: Market analysis focuses on studying market trends, customer preferences, competition, and other factors to make informed business decisions and develop effective marketing strategies.

    These are just a few examples, as analysis is a broad field with numerous sub-specializations.‎

    Online Analysis courses offer a convenient and flexible way to enhance your knowledge or learn new Analysis is the process of examining and evaluating information or data to gain a deeper understanding of it. It involves breaking down complex concepts or problems into their fundamental parts, studying and interpreting those parts, and drawing meaningful conclusions or making informed decisions based on the findings. Analysis can be applied to various fields, such as business, science, economics, and technology, and it plays a crucial role in problem-solving, decision-making, research, and learning. skills. Choose from a wide range of Analysis courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Analysis, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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