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    Results for "data analysis"

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft AI & ML Engineering

      Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Cloud Infrastructure, Generative AI Agents, Applied Machine Learning, Reinforcement Learning, Data Ethics, Prompt Engineering, Data Processing, Artificial Intelligence, Application Deployment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      154 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • D

      Duke University

      FinTech Law and Policy

      Skills you'll gain: FinTech, Financial Regulation, Mobile Banking, Financial Services, Payment Systems, Financial Regulations, Commercial Lending, Financial Industry Regulatory Authorities, Bank Regulations, Banking, Banking Services, Consumer Lending, Regulatory Compliance, Blockchain, Law, Regulation, and Compliance, Payment Processing, Financial Data, Digital Assets

      4.8
      Rating, 4.8 out of 5 stars
      ·
      874 reviews

      Beginner · Course · 1 - 3 Months

    • T

      The University of Chicago

      Internet Giants: The Law and Economics of Media Platforms

      Skills you'll gain: Intellectual Property, Law, Regulation, and Compliance, Information Privacy, Media and Communications, Digital Content, Digital Media Strategy, Technology Strategies, Network Infrastructure, Regulation and Legal Compliance, Telecommunications, Market Dynamics, Case Law, Lawsuits, Market Share, Economics, Legal Proceedings, Innovation, Technical Standard, Competitive Analysis

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

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Q

      Queen Mary University of London

      Market Research

      Skills you'll gain: Qualitative Research, Proposal Development, Market Research, Research Reports, Data Collection, Research Design, Research Methodologies, Data Analysis, Statistical Hypothesis Testing, Survey Creation, Statistical Analysis, Surveys, Correlation Analysis, Quantitative Research, Research, Science and Research, Market Analysis, Focus Group, Regression Analysis, Content Performance Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      473 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Introduction to Web Development

      Skills you'll gain: Version Control, Hypertext Markup Language (HTML), GitHub, Git (Version Control System), HTML and CSS, Cascading Style Sheets (CSS), Web Design and Development, Web Development, Web Design, Web Content, Front-End Web Development, Web Servers, Image Analysis, Semantic Web, Cloud Hosting, Browser Compatibility

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Parallel, Concurrent, and Distributed Programming in Java

      Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Java Programming, Java, Software Architecture, Systems Architecture, Data Structures, System Programming, Programming Principles, Servers, Application Frameworks, Debugging, Algorithms, Performance Tuning, Network Protocols, Computer Science, Functional Design, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

      Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Cybersecurity Essentials

      Skills you'll gain: Cybersecurity, Encryption, Cyber Attacks, Email Security, Computer Security Awareness Training, Security Awareness, Data Security, Network Security, Malware Protection, Authentications, Authorization (Computing), Security Controls, Hardening, Identity and Access Management, Information Privacy, Multi-Factor Authentication, System Configuration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      926 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI For Medical Treatment

      Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Treatment Planning, Data Analysis, Precision Medicine, Applied Machine Learning, Patient Treatment, Machine Learning Methods, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Predictive Modeling, Medical Science and Research, Text Mining, Health Informatics, Large Language Modeling, Medical Terminology, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      524 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Florida

      Sustainable Agricultural Land Management

      Skills you'll gain: Water Resources, Land Management, Environment and Resource Management, Environmental Regulations, Natural Resource Management, Environmental Issue, Environment, Environmental Science, Policty Analysis, Research, and Development, Research

      4.8
      Rating, 4.8 out of 5 stars
      ·
      619 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      TensorFlow 2 for Deep Learning

      Skills you'll gain: Tensorflow, Generative AI, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Time Series Analysis and Forecasting, Jupyter, Dimensionality Reduction

      4.8
      Rating, 4.8 out of 5 stars
      ·
      710 reviews

      Intermediate · Specialization · 3 - 6 Months

    • A

      Automatic Data Processing, Inc. (ADP)

      Payroll and Tax Fundamentals

      Skills you'll gain: Payroll, Payroll Reporting, Payroll Processing, Payroll Administration, Payroll Tax, Labor Law, Tax Preparation, Labor Compliance, Income Tax, Compensation and Benefits, Tax Compliance, Employee Onboarding

      4.7
      Rating, 4.7 out of 5 stars
      ·
      132 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Microsoft AI & ML Engineering: Microsoft
    • FinTech Law and Policy: Duke University
    • Internet Giants: The Law and Economics of Media Platforms: The University of Chicago
    • Market Research: Queen Mary University of London
    • Introduction to Web Development: University of California, Davis
    • Parallel, Concurrent, and Distributed Programming in Java: Rice University
    • Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming: Stanford University
    • Introduction to Cybersecurity Essentials: IBM
    • AI For Medical Treatment: DeepLearning.AI
    • Sustainable Agricultural Land Management: University of Florida

    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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