For IndividualsFor BusinessesFor UniversitiesFor Governments
Coursera
  • All DegreesExplore Bachelor’s & Master’s degrees
  • Bachelor’s DegreesExplore master’s degrees from leading universities
  • Master’s DegreesExplore Computer Science & Engineering degrees
  • Postgraduate StudiesDeepen your expertise with postgraduate learning
  • MasterTrack™Earn credit towards a Master’s degree
  • University CertificatesAdvance your career with graduate-level learning
Find your New Career
  • Browse
  • Top Courses
  • Log In
  • Join for Free
    Coursera
    • Browse
    • Applied Data Science

    Filter by

    515 results for "applied data science"

    • Placeholder
      IBM Skills Network

      IBM Applied AI

      Skills you'll gain: Machine Learning, Cloud Computing, IBM Cloud, Python Programming, Data Analysis, Computer Vision, Computer Programming, Computer Science, Data Structures, Programming Principles, Algebra, Applied Machine Learning, Computational Thinking, Data Science, Computer Graphics, Theoretical Computer Science, Computer Graphic Techniques, Deep Learning, Natural Language Processing, Statistical Programming, Algorithms, Artificial Neural Networks, Machine Learning Software, Basic Descriptive Statistics, Computational Logic, Design and Product, Exploratory Data Analysis, Human Computer Interaction, Interactive Design, Other Web Frameworks, Product Design, Web Development, Application Development, Cloud API, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Operating Systems, Software Engineering, Software Engineering Tools, Software Testing, Systems Design, Web Development Tools

      4.6

      (42.7k reviews)

      Beginner · Professional Certificate · 3-6 Months

    • Placeholder
      Google Cloud

      Preparing for Google Cloud Certification: Cloud Data Engineer

      Skills you'll gain: Cloud Computing, Computer Architecture, Data Management, Google Cloud Platform, Cloud Platforms, Machine Learning, Big Data, Distributed Computing Architecture, Hardware Design, SQL, Information Technology, Data Science, Apache, Cloud Storage, Extract, Transform, Load, Cloud Engineering, Cloud Management, Databases, Full-Stack Web Development, Python Programming, Web Development, Computer Programming, Statistical Programming, Applied Machine Learning, Computer Science, Computer Networking, Data Analysis, Data Analysis Software, Data Visualization, Data Warehousing, Database Administration, Database Application, Database Theory, Kubernetes, Network Architecture, Operating Systems, Software Framework, System Programming, Theoretical Computer Science, Bayesian Statistics, Business Psychology, Cloud Applications, Cloud Infrastructure, Computational Thinking, Data Architecture, Data Model, Data Structures, Deep Learning, Entrepreneurship, Exploratory Data Analysis, Feature Engineering, General Statistics, Machine Learning Algorithms, Machine Learning Software, Probability & Statistics, Tensorflow

      4.6

      (17.7k reviews)

      Intermediate · Professional Certificate · 3-6 Months

    • Placeholder
      Google Cloud

      Data Engineering, Big Data, and Machine Learning on GCP

      Skills you'll gain: Cloud Computing, Data Management, Computer Architecture, Cloud Platforms, Google Cloud Platform, Big Data, Distributed Computing Architecture, Machine Learning, SQL, Apache, Data Science, Hardware Design, Extract, Transform, Load, Cloud Storage, Full-Stack Web Development, Web Development, Databases, Information Technology, Python Programming, Statistical Programming, Computer Networking, Computer Programming, Data Analysis, Data Analysis Software, Data Visualization, Data Warehousing, Database Administration, Database Application, Database Theory, Kubernetes, Network Architecture, Operating Systems, Software Framework, System Programming, Theoretical Computer Science, Applied Machine Learning, Bayesian Statistics, Business Psychology, Cloud Applications, Cloud Infrastructure, Computational Thinking, Data Architecture, Data Model, Data Structures, Deep Learning, Entrepreneurship, Exploratory Data Analysis, Feature Engineering, General Statistics, Machine Learning Algorithms, Machine Learning Software, Probability & Statistics, Tensorflow

      4.6

      (17.5k reviews)

      Intermediate · Specialization · 3-6 Months

    • Placeholder
      IBM Skills Network

      Excel Basics for Data Analysis

      Skills you'll gain: Business Analysis, Data Analysis, Microsoft Excel, Spreadsheet Software, Data Analysis Software, Computer Programming, Data Management, Data Mining, Data Science, Extract, Transform, Load, Operating Systems, System Programming

      4.7

      (5.2k reviews)

      Beginner · Course · 1-3 Months

    • Placeholder
      Microsoft

      Microsoft Azure Data Scientist Associate (DP-100)

      Skills you'll gain: Machine Learning, Cloud Computing, Microsoft Azure, Probability & Statistics, Machine Learning Algorithms, Theoretical Computer Science, Algorithms, Apache, Big Data, Data Management, General Statistics, Computer Programming, Regression, Statistical Programming, Python Programming, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Deep Learning, Bayesian Statistics, Business Analysis, Data Analysis, Exploratory Data Analysis, Extract, Transform, Load, Statistical Machine Learning, Experiment, Strategy and Operations

      4.5

      (179 reviews)

      Intermediate · Professional Certificate · 3-6 Months

    • Placeholder
      IBM Skills Network

      Advanced Data Science with IBM

      Skills you'll gain: Machine Learning, Data Management, Statistical Programming, Python Programming, Machine Learning Algorithms, Apache, Deep Learning, Machine Learning Software, Artificial Neural Networks, Probability & Statistics, Cloud Computing, Statistical Machine Learning, Extract, Transform, Load, Basic Descriptive Statistics, General Statistics, IBM Cloud, Data Model, Applied Machine Learning, Data Analysis, Data Visualization, Dimensionality Reduction, SQL, Statistical Visualization, Feature Engineering, Linear Algebra, Mathematics, Natural Language Processing, Tensorflow, Bayesian Network, Cloud Platforms, Cloud Storage, Computer Vision, Correlation And Dependence, Data Structures, Data Warehousing, Database Application, NoSQL, Plot (Graphics), Probability Distribution, R Programming, Regression, Algorithms, Bayesian Statistics, Big Data, Change Management, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Programming, Data Analysis Software, Data Mining, Distributed Computing Architecture, Estimation, Exploratory Data Analysis, Internet Of Things, Leadership and Management, Programming Principles, Statistical Analysis, Strategy and Operations, Theoretical Computer Science

      4.3

      (3k reviews)

      Advanced · Specialization · 3-6 Months

    • Placeholder
      Placeholder
      University of Colorado Boulder

      Data Science Foundations: Statistical Inference

      Skills you'll gain: General Statistics, Probability & Statistics, Probability Distribution, Statistical Tests, Calculus, Estimation, Mathematics, Business Analysis, Differential Equations, Econometrics, Spreadsheet Software

      4.4

      (138 reviews)

      Intermediate · Specialization · 3-6 Months

    • Placeholder
      Placeholder
      Google Cloud

      Creating Business Value with Data and Looker

      Skills you'll gain: Business Analysis, Data Visualization, Data Visualization Software, Looker (Software), Data Management, Cloud Computing, Applied Machine Learning, Business Intelligence, Cloud Storage, Data Structures, Data Warehousing, Databases, Machine Learning, Theoretical Computer Science, Application Development, Computer Programming, Computer Programming Tools, Data Analysis, Programming Principles, Software Engineering, Software Engineering Tools

      4.8

      (894 reviews)

      Intermediate · Specialization · 3-6 Months

    • Placeholder
      Placeholder
      University of California San Diego

      Big Data

      Skills you'll gain: Data Management, Big Data, Data Analysis, Exploratory Data Analysis, Probability & Statistics, Distributed Computing Architecture, Machine Learning, Business Analysis, Statistical Programming, Data Science, Graph Theory, Mathematics, Apache, Computer Architecture, Databases, Data Analysis Software, NoSQL, Data Architecture, Machine Learning Algorithms, Business, Data Model, Data Structures, Spreadsheet Software, Data Mining, Python Programming, Data Visualization, SQL, Statistical Machine Learning, Statistical Visualization, Database Application, Information Technology, Cloud Computing, Software As A Service, Applied Machine Learning, Basic Descriptive Statistics, Computer Programming, Correlation And Dependence, Database Administration, Dimensionality Reduction, Feature Engineering, General Statistics, PostgreSQL, Regression, Statistical Analysis, Algorithms, Data Warehousing, Theoretical Computer Science

      4.5

      (13.5k reviews)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      Placeholder
      IBM Skills Network

      Data Analysis with Python

      Skills you'll gain: Basic Descriptive Statistics, Data Analysis, Data Science, Python Programming, Applied Machine Learning, Data Mining, Data Structures, General Statistics, Machine Learning, Regression, Statistical Analysis, Statistical Tests, Exploratory Data Analysis, Algebra, Business Analysis, Computer Programming, Computer Programming Tools, Correlation And Dependence, Econometrics, Mathematical Theory & Analysis, Probability & Statistics, Spreadsheet Software, Statistical Machine Learning, Statistical Programming

      4.7

      (16.4k reviews)

      Beginner · Course · 1-3 Months

    • Placeholder
      Placeholder
      University of Colorado Boulder

      Data Science Foundations: Data Structures and Algorithms

      Skills you'll gain: Theoretical Computer Science, Algorithms, Data Structures, Data Management, Mathematics, Operations Research, Research and Design, Strategy and Operations, Computer Programming, Graph Theory, Programming Principles, Mathematical Theory & Analysis, Computational Logic, Operating Systems, Other Programming Languages, System Programming, Python Programming, Statistical Programming

      4.6

      (286 reviews)

      Advanced · Specialization · 1-3 Months

    • Placeholder
      Placeholder
      DeepLearning.AI

      TensorFlow: Data and Deployment

      Skills you'll gain: Machine Learning, Tensorflow, Applied Machine Learning, Deep Learning, Computer Programming, Python Programming, Data Management, Extract, Transform, Load, Mobile Development, Computer Vision, Data Science, Marketing, Statistical Programming, Mobile Development Tools, Artificial Neural Networks, Computer Science, iOS Development, Javascript, Machine Learning Software, Data Model, Android Development, Application Development, Computer Architecture, Entrepreneurship, Leadership and Management, Microarchitecture, Problem Solving, Research and Design, Software Engineering, Swift Programming, Theoretical Computer Science, Cross Platform Development, Data Visualization, HTML and CSS, Java Programming, Machine Learning Algorithms, Security Engineering, Visualization (Computer Graphics), Web Development

      4.6

      (1.3k reviews)

      Intermediate · Specialization · 3-6 Months

    Searches related to applied data science

    applied data science with python specialization
    applied data science with python
    applied data science with r
    applied data science capstone
    applied data science for data analysts
    1…456…43

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

    • IBM Applied AI: IBM Skills Network
    • Preparing for Google Cloud Certification: Cloud Data Engineer: Google Cloud
    • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
    • Excel Basics for Data Analysis: IBM Skills Network
    • Microsoft Azure Data Scientist Associate (DP-100): Microsoft
    • Advanced Data Science with IBM: IBM Skills Network
    • Data Science Foundations: Statistical Inference: University of Colorado Boulder
    • Creating Business Value with Data and Looker: Google Cloud
    • Big Data: University of California San Diego
    • Data Analysis with Python: IBM Skills Network

    Frequently Asked Questions about Applied Data Science

    • People who are best suited for working in data science have a strong mix of technical skills and complex problem-solving skills. Beyond the job-related skills, people should have strong critical reasoning abilities, which are needed to help them analyze data and solve problems. Creativity, attention to detail, and strong communication skills allow data scientists to translate their analytical findings into actions that business leaders and decision-makers can take. Because this field continues evolving, people in data science should also be enthusiastic about learning new things and willing to constantly expand their skills.‎

    • Are you passionate about using data to solve complex problems? Do you enjoy working in both the business and technology fields? Do you have a thirst for learning new things? If you can answer yes to any or all of those questions, learning data science may well be an ideal course for you. Additionally, if you're looking for a field that's in high demand and applicable to a variety of potential positions, it's hard to top data science. It's among the fastest-growing fields, and by 2026 it's predicted to create more than 11 million new jobs, according to the Bureau of Labor Statistics.‎

    • Data science opens up a variety of potential career paths, including data scientist, machine learning engineer, data architect, and business intelligence developer. Most people who work in data science start with entry-level jobs like junior data scientist or data analyst after earning a bachelor's degree in computer science or a related field. Some people work their way up from entry-level jobs. Others pursue certifications or trainings specific to systems. To access the largest pool of opportunities, you might want to get a master's or doctoral degree in information technology or computer science.‎

    • Data scientists work in a variety of industries, including big tech companies like Google and IBM, financial organizations, pharmaceutical companies, retailers, and even fashion houses. Data scientists work on many different types of jobs, which makes their work valuable to many different types of industries. For example, data scientists might work in fraud identification, market analysis, or manufacturing analysis. Or they might work on projects that task them with analyzing large amounts of data and putting it into reports and dashboards to help stakeholders better understand the significance. Data science can be helpful for marketing, sales, and so much more.‎

    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.
    Other topics to explore
    Placeholder
    Arts and Humanities
    338 courses
    Placeholder
    Business
    1095 courses
    Placeholder
    Computer Science
    668 courses
    Placeholder
    Data Science
    425 courses
    Placeholder
    Information Technology
    145 courses
    Placeholder
    Health
    471 courses
    Placeholder
    Math and Logic
    70 courses
    Placeholder
    Personal Development
    137 courses
    Placeholder
    Physical Science and Engineering
    413 courses
    Placeholder
    Social Sciences
    401 courses
    Placeholder
    Language Learning
    150 courses

    Coursera Footer

    Learn Something New

    • Learn a Language
    • Learn Accounting
    • Learn Coding
    • Learn Copywriting
    • Learn HR
    • Learn Public Relations
    • Boulder MS Data Science
    • Illinois iMBA
    • Illinois MS Computer Science
    • UMich MS in Applied Data Science

    Popular Data Science Topics

    • Artificial Intelligence
    • Data Analysis
    • Data Engineering
    • Data Science
    • Excel
    • Machine Learning
    • Python
    • Power BI
    • R Programming
    • SQL

    Popular Computer Science & IT Topics

    • Blockchain
    • Coding
    • Computer Science
    • Cybersecurity
    • Full Stack Web Development
    • IT
    • Java
    • Software Engineering
    • Web Design
    • Web Development

    Popular Business Topics

    • Accounting
    • Business Finance
    • Communication Skills
    • Leadership & Management
    • Marketing
    • Product Management
    • Project Management
    • UX Design
    • UX Research
    • Writing

    Coursera

    • About
    • What We Offer
    • Leadership
    • Careers
    • Catalog
    • Coursera Plus
    • Professional Certificates
    • MasterTrack® Certificates
    • Degrees
    • For Enterprise
    • For Government
    • For Campus
    • Become a Partner
    • Coronavirus Response
    • Free Courses
    • All Courses

    Community

    • Learners
    • Partners
    • Beta Testers
    • Translators
    • Blog
    • Tech Blog
    • Teaching Center

    More

    • Press
    • Investors
    • Terms
    • Privacy
    • Help
    • Accessibility
    • Contact
    • Articles
    • Directory
    • Affiliates
    • Modern Slavery Statement
    Learn Anywhere
    Placeholder
    Placeholder
    Placeholder
    © 2023 Coursera Inc. All rights reserved.
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder