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    • Applied Data Science

    Applied Data Science Courses Online

    Master applied data science techniques for real-world problem-solving. Learn data manipulation, visualization, and machine learning using Python.

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    Explore the Applied Data Science Course Catalog

    • G

      Google Cloud

      Building Resilient Streaming Analytics Systems on Google Cloud

      Skills you'll gain: Real Time Data, Data Pipelines, Google Cloud Platform, Data Processing, Big Data, Analytics, SQL, Data Transformation, Performance Tuning, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Copenhagen

      Diabetes - a Global Challenge

      Skills you'll gain: Preventative Care, Pharmacology, Chronic Diseases, Epidemiology, Medical Science and Research, Patient Treatment, Pharmaceuticals, Internal Medicine, Public Health and Disease Prevention, Clinical Nutrition, Public Health, Biology, Biochemistry, Pathology, Molecular Biology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      735 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for UX Designers

      Skills you'll gain: User Experience Design, User Research, Wireframing, UI/UX Strategy, User Centered Design, Adobe XD, Usability Testing, Generative AI, Figma (Design Software), Human Computer Interaction, Design Thinking, Prototyping, User Interface (UI) Design, Artificial Intelligence, Persona Development

      4.2
      Rating, 4.2 out of 5 stars
      ·
      73 reviews

      Beginner · Course · 1 - 4 Weeks

    • R

      Rice University

      Natural Attenuation of Groundwater Contaminants: New Paradigms, Technologies, and Applications

      Skills you'll gain: Environmental Monitoring, Environmental Engineering, Water Resources, Geostatistics, Environmental Science, Mathematical Modeling, Laboratory Research, Microbiology, Biology, Chemical Engineering, Chemistry, Hydraulics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      506 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Princeton University

      Bitcoin and Cryptocurrency Technologies

      Skills you'll gain: Blockchain, Cryptography, Encryption, Payment Systems, FinTech, Application Security, Digital Assets, Network Protocols, Data Mining, Transaction Processing, Data Storage, Distributed Computing, Emerging Technologies, Scripting, Public Affairs, Market Dynamics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3K reviews

      Mixed · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Tidyverse Skills for Data Science in R

      Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Statistical Modeling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Statistical Visualization, Sampling (Statistics), Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Web Scraping, Data Integration, Data Cleansing, Data Transformation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      104 reviews

      Beginner · Specialization · 3 - 6 Months

    • T

      The State University of New York

      Big Data, Genes, and Medicine

      Skills you'll gain: Data Visualization, Bioinformatics, Big Data, Analytics, Health Informatics, Medical Science and Research, Data Processing, R Programming, Predictive Modeling, Statistical Analysis, Molecular Biology, Feature Engineering, Unsupervised Learning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      284 reviews

      Advanced · Course · 1 - 3 Months

    • C

      Columbia University

      Introduction to Financial Engineering and Risk Management

      Skills you'll gain: Financial Market, Securities (Finance), Derivatives, Financial Systems, Actuarial Science, Mathematical Modeling, Mathematics and Mathematical Modeling, Applied Mathematics, Financial Trading, Capital Markets, Financial Services, Securities Trading, Futures Exchange, Equities, Finance, Financial Modeling, Market Liquidity, Risk Modeling, Probability, Risk Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      283 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      The Oral Cavity: Portal to Health and Disease

      Skills you'll gain: Oral and Dental Care, Oral Health, Dental Care, Dentistry, Cardiology, General Medicine, Medical Terminology, Oncology, Chronic Diseases, Anatomy, Pharmacology

      4.9
      Rating, 4.9 out of 5 stars
      ·
      797 reviews

      Intermediate · Course · 1 - 3 Months

    • D

      Duke University

      Writing, Running, and Fixing Code in C

      Skills you'll gain: Debugging, Software Testing, Program Development, Pseudocode, Simulations, Computer Programming, Algorithms, Development Environment, C (Programming Language), Command-Line Interface

      4.3
      Rating, 4.3 out of 5 stars
      ·
      803 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      Entrepreneurship 3: Growth Strategies

      Skills you'll gain: Growth Strategies, Key Performance Indicators (KPIs), Digital Marketing, Customer Acquisition Management, Business Metrics, Marketing Strategies, Market Dynamics, Business Strategies, Search Engine Optimization, Paid media, Talent Management, People Management, Forecasting, Earned Media, Organizational Structure, Public Relations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Preparing for AI-900: Microsoft Azure AI Fundamentals exam

      Skills you'll gain: Natural Language Processing, Microsoft Azure, Computer Vision, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Predictive Modeling, Artificial Intelligence, Predictive Analytics, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      139 reviews

      Beginner · Course · 1 - 4 Weeks

    Applied Data Science learners also search

    Data Science
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    1…144145146…834

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

    • Building Resilient Streaming Analytics Systems on Google Cloud: Google Cloud
    • Diabetes - a Global Challenge: University of Copenhagen
    • GenAI for UX Designers: Coursera Instructor Network
    • Natural Attenuation of Groundwater Contaminants: New Paradigms, Technologies, and Applications: Rice University
    • Bitcoin and Cryptocurrency Technologies: Princeton University
    • Tidyverse Skills for Data Science in R: Johns Hopkins University
    • Big Data, Genes, and Medicine: The State University of New York
    • Introduction to Financial Engineering and Risk Management: Columbia University
    • The Oral Cavity: Portal to Health and Disease: University of Pennsylvania
    • Writing, Running, and Fixing Code in C: Duke University

    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.‎

    Online Applied Data Science courses offer a convenient and flexible way to enhance your existing knowledge or learn new Applied Data Science skills. With a wide range of Applied Data Science classes, you can conveniently learn at your own pace to advance your Applied Data Science career skills.‎

    When looking to enhance your workforce's skills in Applied Data Science, 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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