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    Results for "data analysis"

    • Status: Free Trial
      Free Trial
      C

      California Institute of the Arts

      Web Design: Strategy and Information Architecture

      Skills you'll gain: Information Architecture, Persona (User Experience), UI/UX Strategy, User Experience Design, Web Design, Wireframing, User Research, Mockups, Usability Testing, Agile Methodology, Waterfall Methodology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Clemson University

      Design and Analysis of Algorithms

      Skills you'll gain: Graph Theory, Data Structures, Algorithms, Theoretical Computer Science, Computational Thinking, Applied Mathematics, Combinatorics, Performance Testing, Computer Science, Computer Programming, Design Strategies, Probability, Probability Distribution

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      BI Essentials for Finance Analysts (Power BI Edition)

      Skills you'll gain: Data Analysis Expressions (DAX), Power BI, Snowflake Schema, Data Modeling, SQL, Business Intelligence, Dashboard, Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Data Import/Export, Business Reporting, Databases, Interactive Data Visualization, Data Storytelling, Financial Statements, Data Analysis Software, Data Manipulation, Data Analysis, Relational Databases

      4.8
      Rating, 4.8 out of 5 stars
      ·
      187 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Predictive Modeling and Analytics

      Skills you'll gain: Predictive Analytics, Data Visualization, Data Modeling, Business Analytics, Data Analysis, Statistical Modeling, Data-Driven Decision-Making, Regression Analysis, Machine Learning Methods, Supervised Learning, Decision Tree Learning, Data Cleansing, Artificial Neural Networks

      3.6
      Rating, 3.6 out of 5 stars
      ·
      602 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      AI Agents and Agentic AI with Python & Generative AI

      Skills you'll gain: Generative AI Agents, Python Programming, Agentic systems, Generative AI, Artificial Intelligence, OpenAI, ChatGPT, Prompt Engineering, Software Development Tools, Application Development, Prototyping, Automation, Large Language Modeling, Interoperability, Systems Integration, Software Documentation, Design Strategies, File Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      110 reviews

      Beginner · Course · 1 - 3 Months

    • N

      National Taiwan University

      用 Python 做商管程式設計(一)(Programming for Business Computing in Python (1))

      Skills you'll gain: Information Systems, Information Management, Business Logic, Data Structures, Transportation Operations, Production Planning, Operations Management, Business Operations, Inventory Control, Logistics, Algorithms, Programming Principles, Computer Programming, Python Programming, Decision Making

      4.9
      Rating, 4.9 out of 5 stars
      ·
      892 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Ordered Data Structures

      Skills you'll gain: Data Structures, Algorithms, Database Systems, Database Theory, Theoretical Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      920 reviews

      Mixed · Course · 1 - 4 Weeks

    • S

      SAS

      Statistical Thinking for Industrial Problem Solving, presented by JMP

      Skills you'll gain: Exploratory Data Analysis, Data Compilation, Correlation Analysis, Data Collection, Statistical Inference, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Probability & Statistics, Statistical Visualization

      4.9
      Rating, 4.9 out of 5 stars
      ·
      93 reviews

      Beginner · Course · 1 - 3 Months

    • K

      Kennesaw State University

      Business Model Canvas: A Tool for Entrepreneurs and Innovators (Project-Centered Course)

      Skills you'll gain: Value Propositions, Business Modeling, Presentations, Customer Analysis, Innovation, Business Process, Customer Relationship Management, Entrepreneurship, Target Market, Marketing Channel, Business Strategy, Strategic Partnership, Cost Management, Revenue Management, Resource Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      654 reviews

      Beginner · Course · 1 - 3 Months

    • D

      Deep Teaching Solutions

      Apprendre comment apprendre (ACA) : Des outils mentaux puissants qui vous aideront à maîtriser des sujets difficiles

      Skills you'll gain: Learning Strategies, Lifelong Learning, Willingness To Learn, Problem Solving, Self-Awareness, Overcoming Obstacles, Growth Mindedness, Cognitive flexibility, Curiosity, Creativity, Stress Management, Time Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      700 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      CVS Health

      CVS Health Retail Customer Service

      Skills you'll gain: Active Listening, De-escalation Techniques, Greeting Customers, Customer Service, Empathy, Cross Selling, Retail Sales, Call Center Experience, Transaction Processing, Verbal Communication Skills, Upselling, Retail Store Operations, Customer Complaint Resolution, Product Knowledge, Oral Comprehension, Cash Register Operation, Problem Solving, Time Management, Conflict Management, Interviewing Skills

      4.7
      Rating, 4.7 out of 5 stars
      ·
      300 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Lausanne

      Accounting 1

      Skills you'll gain: Balance Sheet, Income Statement, Cash Flows, Financial Accounting, Financial Statements, Accounting, Bookkeeping, Working Capital, General Accounting, Accrual Accounting, Financial Reporting, Financial Analysis, Ledgers (Accounting), Profit and Loss (P&L) Management, Accounts Payable and Receivable, Reconciliation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      189 reviews

      Beginner · Course · 1 - 3 Months

    Searches related to data analysis

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    1…162163164…831

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

    • Web Design: Strategy and Information Architecture: California Institute of the Arts
    • Design and Analysis of Algorithms: Clemson University
    • BI Essentials for Finance Analysts (Power BI Edition): Corporate Finance Institute
    • Predictive Modeling and Analytics : University of Colorado Boulder
    • AI Agents and Agentic AI with Python & Generative AI: Vanderbilt University
    • 用 Python 做商管程式設計(一)(Programming for Business Computing in Python (1)): National Taiwan University
    • Ordered Data Structures: University of Illinois Urbana-Champaign
    • Statistical Thinking for Industrial Problem Solving, presented by JMP: SAS
    • Business Model Canvas: A Tool for Entrepreneurs and Innovators (Project-Centered Course): Kennesaw State University
    • Apprendre comment apprendre (ACA) : Des outils mentaux puissants qui vous aideront à maîtriser des sujets difficiles: Deep Teaching Solutions

    Frequently Asked Questions about Data Analysis

    Coursera’s Data Analysis courses equip learners with essential analytical skills to interpret and make sense of data:

    • Fundamental and advanced techniques for data collection, cleaning, and preprocessing.
    • Statistical analysis and quantitative reasoning to derive insights from data.
    • Use of major data analysis tools and software, including Python, R, SQL, and Excel.
    • Data visualization skills to represent data effectively and communicate findings.
    • Predictive analytics to forecast trends and behaviors using historical data.
    • Application of data analysis skills in various industries like healthcare, marketing, finance, and technology.‎

    Data Analysis courses on Coursera are accessible to learners with varying levels of experience:

    • Beginners can start with courses that introduce basic data analysis concepts and tools.
    • Intermediate learners can enhance their skills with more detailed studies in specific areas such as statistical modeling or machine learning.
    • Advanced users can deepen their expertise with complex data analytics projects and applications.‎

    Upon completing Data Analysis courses, learners can earn credentials that may support their career development:

    • Professional certificates that may indicate proficiency in data analysis tools and techniques.
    • Specializations that cover in-depth topics in data analysis, enhancing both knowledge and practical skills.
    • Certificates that can be recognized by employers in fields that rely heavily on data-driven decision-making.‎

    Proficiency in data analysis can open doors to diverse career paths across multiple sectors:

    • Data Analyst, interpreting data sets to help guide business decisions.
    • Business Intelligence Analyst, using data to inform strategy and business practices.
    • Market Research Analyst, analyzing data to understand market trends and consumer preferences.
    • Operations Analyst, using data to optimize business operations and increase efficiency.
    • Financial Analyst, employing analytical techniques to assess financial data and predict future trends.‎

    Looking to enhance your team's data analysis skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our data analysis training options and make a purchase, please visit our Coursera for Teams page.‎

    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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