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    Results for "data science"

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Excel/VBA for Creative Problem Solving

      Skills you'll gain: Excel Macros, Peer Review, Visual Basic (Programming Language), Programming Principles, Data Import/Export, Microsoft Excel, Data Structures, Program Development, Computer Programming, Project Design, Simulations, Automation, Spreadsheet Software, Algorithms, UI Components, Debugging, Data Management, User Interface (UI), Data Cleansing, Data Validation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      N

      Northwestern University

      Social Media Marketing

      Skills you'll gain: Marketing Budgets, Blogs, Social Media Marketing, Integrated Marketing Communications, Peer Review, Key Performance Indicators (KPIs), Social Media Strategy, Business Marketing, Real Time Data, Marketing Effectiveness, Content Marketing, Strategic Marketing, Marketing Strategies, Marketing, Target Audience, Social Media, Social Media Campaigns, Budgeting, Digital Transformation, Big Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Scrum Master Certification

      Skills you'll gain: User Story, Agile Methodology, Behavior-Driven Development, DevSecOps, Scaled Agile Framework, Backlogs, Agile Software Development, Test Driven Development (TDD), Sprint Planning, Kanban Principles, DevOps, Scalability, Risk Management, Agile Product Development, Agile Project Management, Continuous Integration, Lean Methodologies, Sprint Retrospectives, Scrum (Software Development), Management Reporting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Think Outside the Inbox: Email Marketing

      Skills you'll gain: Email Marketing, Campaign Management, Marketing Automation, Personally Identifiable Information, Newsletters, Content Marketing, Digital Marketing, Copywriting, Marketing Strategy and Techniques, HubSpot CRM, Customer Data Management, Promotional Strategies, Key Performance Indicators (KPIs), Performance Analysis, Customer Retention

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Meta Marketing Science Certification Prep

      Skills you'll gain: Marketing Analytics, Bayesian Statistics, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, A/B Testing, Target Audience, Marketing Strategies, Marketing Planning, Statistical Inference, Sampling (Statistics), Data Collection, Data Modeling, Statistics, Advertising Campaigns, Campaign Management, Marketing, Analytics, Google Analytics, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IE Business School

      Marketing Strategy

      Skills you'll gain: Survey Creation, Surveys, Marketing Planning, Market Research, Business Research, Product Marketing, Consumer Behaviour, Value Propositions, Market Analysis, Marketing, Business Planning, Marketing Channel, Peer Review, Product Strategy, Target Market, Research Design, Data Analysis, Marketing Strategies, Marketing Communications, Strategic Marketing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Getting and Cleaning Data

      Skills you'll gain: Data Manipulation, Data Cleansing, Data Wrangling, Data Integration, Data Quality, Data Transformation, Data Import/Export, Data Collection, Data Management, Web Scraping, Data Access, R Programming, Exploratory Data Analysis, MySQL, File Management, SQL, Application Programming Interface (API)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • E

      Erasmus University Rotterdam

      Econometrics: Methods and Applications

      Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Data Analysis, Statistical Analysis, Quantitative Research, Statistical Modeling, Statistics, Predictive Analytics, Probability, Linear Algebra, Peer Review

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      C for Everyone: Programming Fundamentals

      Skills you'll gain: Debugging, C (Programming Language), Code Review, Data Structures, Computer Programming, Program Development, Computer Science, Computational Thinking, Integrated Development Environments, Software Technical Review, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.6K reviews

      Beginner · Course · 1 - 3 Months

    • T

      The University of Edinburgh

      Code Yourself! An Introduction to Programming

      Skills you'll gain: Software Engineering, Video Game Development, Software Testing, Software Development, Programming Principles, Software Design, Game Design, Computer Programming, Animation and Game Design, Debugging, Computational Thinking, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Plotting, Charting & Data Representation in Python

      Skills you'll gain: Matplotlib, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Visualization (Computer Graphics), Statistical Visualization, Data Presentation, Graphing, Scatter Plots, Data Manipulation, Histogram, NumPy, Pandas (Python Package)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Bayesian Statistics, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

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

    • Excel/VBA for Creative Problem Solving: University of Colorado Boulder
    • Social Media Marketing: Northwestern University
    • Scrum Master Certification: LearnQuest
    • Think Outside the Inbox: Email Marketing: Google
    • Meta Marketing Science Certification Prep: Meta
    • Marketing Strategy: IE Business School
    • Getting and Cleaning Data: Johns Hopkins University
    • Econometrics: Methods and Applications: Erasmus University Rotterdam
    • C for Everyone: Programming Fundamentals: University of California, Santa Cruz
    • Code Yourself! An Introduction to Programming: The University of Edinburgh

    Frequently Asked Questions about Data Science

    Data science courses on Coursera cover a comprehensive array of essential skills including:

    • Fundamentals of data manipulation and data analysis using tools like Python and R
    • Statistical analysis and probability modeling
    • Machine learning techniques, including supervised and unsupervised learning
    • Data visualization and communication using platforms like Tableau and PowerBI
    • Big data technologies such as Hadoop and Spark
    • Deep learning and artificial intelligence concepts
    • Time series analysis for forecasting and trend analysis
    • Data ethics and data privacy best practices ‎

    No prior programming experience is required to begin beginner data science courses. The curriculum is designed to support learners at various skill levels:

    • Beginners can start with introductory courses on data analysis and basic programming.
    • Intermediate learners can advance to more complex statistical methods and machine learning models.
    • Advanced professionals can specialize in areas like artificial intelligence, deep learning, or big data technologies.‎

    Data science courses on Coursera offer a variety of credentialing options:

    • Professional certificates that demonstrate comprehensive data science skills
    • Specialized course certificates in areas such as machine learning, business analytics, or data engineering
    • Certifications from leading technology companies and academic institutions
    • These certificates can help demonstrate data science skills, employability and career progression.‎

    Skills in data science can lead to a wide range of career opportunities in various sectors including technology, healthcare, finance, and more:

    • Data Scientist
    • Data Analyst
    • Machine Learning Engineer
    • Business Intelligence Analyst
    • Quantitative Analyst
    • Data Engineers and Database Administrators
    • Professionals in these roles utilize data science skills to extract insights from data, support decision-making, and innovate with new algorithms and predictive models.

    Discover which data science role suits you best by taking our career quiz!‎

    Looking to enhance your team's data science 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 science 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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