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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

    • N

      New York University

      Machine Learning and Reinforcement Learning in Finance

      Skills you'll gain: Supervised Learning, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Deep Learning, Market Liquidity, Financial Services

      3.7
      Rating, 3.7 out of 5 stars
      ·
      814 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Introduction to Business Analytics: Communicating with Data

      Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Data Collection, Data Quality, Business Analytics, Data Visualization Software, Data-Driven Decision-Making, Data Analysis, Communication, R Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      628 reviews

      Beginner · Course · 1 - 4 Weeks

    • A

      Advancing Women in Tech

      Real-World Product Management

      Skills you'll gain: Product Roadmaps, Product Management, Customer Retention, Cross-Functional Team Leadership, Professional Networking, Financial Analysis, Product Strategy, Technical Product Management, Product Requirements, Product Development, Financial Statement Analysis, Product Lifecycle Management, New Product Development, Innovation, Team Leadership, Artificial Intelligence and Machine Learning (AI/ML), User Experience Design, Performance Management, Interviewing Skills, Branding

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      893 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Internet History, Technology, and Security

      Skills you'll gain: Network Security, OSI Models, Network Administration, Network Protocols, Network Architecture, TCP/IP, Web Applications, Computer Networking, Encryption, Internet Of Things, Web Development, Innovation, Emerging Technologies, Hypertext Markup Language (HTML)

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

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Santa Cruz

      C++ For C Programmers, Part A

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Algorithms, C (Programming Language), Programming Principles, Computer Programming, Data Structures, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.3K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Business Analytics for Decision Making

      Skills you'll gain: Business Analytics, Risk Analysis, Business Analysis, Decision Making, Analytics, Business Intelligence, Predictive Analytics, Simulation and Simulation Software, Business Modeling, Data Analysis, Process Optimization, Market Analysis, Unsupervised Learning, Microsoft Excel, Probability Distribution

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Statistics for Genomic Data Science

      Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistical Modeling, R Programming, Probability & Statistics, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Data Processing

      4.2
      Rating, 4.2 out of 5 stars
      ·
      372 reviews

      Mixed · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Essential Epidemiologic Tools for Public Health Practice

      Skills you'll gain: Epidemiology, Spatial Data Analysis, Public Health, Data Presentation, Geographic Information Systems, Biostatistics, Community Health, Health Policy, Risk Analysis, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3K reviews

      Beginner · Course · 1 - 4 Weeks

    • L

      LearnQuest

      Introduction to Scrum Master Training

      Skills you'll gain: User Story, Agile Methodology, Sprint Planning, Agile Project Management, Backlogs, Sprint Retrospectives, Waterfall Methodology, Meeting Facilitation, Estimation, Cross-Functional Collaboration

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.2K reviews

      Beginner · Course · 1 - 3 Months

    • S

      Stanford University

      Food Sustainability, Mindful Eating, and Healthy Cooking

      Skills you'll gain: Food and Beverage, Cooking, Nutrition and Diet, Cultural Diversity, Environment, Compassion, Environmental Issue, Resourcefulness, Mindfulness, Waste Minimization, Food Safety and Sanitation, Adaptability, Environmental Science, Product Lifecycle Management, Behavioral Health, Self-Awareness, Pollution Prevention, Creativity, Decision Making, Emerging Technologies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      565 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free
      Free
      T

      The State University of New York

      International Cyber Conflicts

      Skills you'll gain: Cyber Threat Intelligence, Cyber Security Policies, Cybersecurity, International Relations, Cyber Risk, Cyber Operations, Cyber Governance, Diplomacy, Infrastructure Architecture, Conflict Management, Security Management, Political Sciences, Media and Communications, Psychology

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.5K reviews

      Mixed · Course · 1 - 3 Months

    • L

      LearnKartS

      Tableau for Data Visualization and Analysis

      Skills you'll gain: Tableau Software, Forecasting, Data Visualization Software, Dashboard, Interactive Data Visualization, Data Storytelling, Time Series Analysis and Forecasting, Trend Analysis, Data Modeling, Exploratory Data Analysis, Data Analysis, Geospatial Mapping, Data Integration, Systems Integration

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    Applied Data Science learners also search

    Data Science
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    1…9899100…834

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

    • Machine Learning and Reinforcement Learning in Finance: New York University
    • Introduction to Business Analytics: Communicating with Data : University of Illinois Urbana-Champaign
    • Real-World Product Management: Advancing Women in Tech
    • Internet History, Technology, and Security: University of Michigan
    • C++ For C Programmers, Part A: University of California, Santa Cruz
    • Business Analytics for Decision Making: University of Colorado Boulder
    • Statistics for Genomic Data Science: Johns Hopkins University
    • Essential Epidemiologic Tools for Public Health Practice: Johns Hopkins University
    • Introduction to Scrum Master Training: LearnQuest
    • Food Sustainability, Mindful Eating, and Healthy Cooking: Stanford 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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