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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

    • Status: Free
      Free
      J

      Johns Hopkins University

      The Mathematics of Democracy, Politics and Manipulation

      Skills you'll gain: Political Sciences, Policy Analysis, Social Justice, Social Sciences, Public Policies, Game Theory, Demography, Logical Reasoning, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      16 reviews

      Mixed · Course · 1 - 3 Months

    • F

      Fractal Analytics

      Data Analysis Using SQL

      Skills you'll gain: Database Design, Data Manipulation, SQL, Relational Databases, Database Management, Data Analysis, Data Cleansing, Databases, Query Languages, Data Transformation, Data Integrity

      4.5
      Rating, 4.5 out of 5 stars
      ·
      42 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Supply Chain Management: A Learning Perspective

      Skills you'll gain: New Product Development, Supply Chain Management, Supply Chain Planning, Innovation, Quality Management, Operations Management, Logistics Management, Supplier Management, Transportation, Supply Chain, and Logistics, Inventory Management System, Coordinating, Corporate Sustainability, Value Propositions, Continuous Improvement Process, Consumer Behaviour, Cross-Functional Collaboration, Decision Making, Complex Problem Solving

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      D

      Duke University

      Introduction to Chemistry: Reactions and Ratios

      Skills you'll gain: Scientific Methods, Chemistry, Laboratory Research, General Science and Research, Systems Of Measurement, Physics, Algebra, Engineering Calculations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Georgia Institute of Technology

      Materials Data Sciences and Informatics

      Skills you'll gain: Dimensionality Reduction, Data Science, Data Mining, Data Integration, Data-Driven Decision-Making, Information Management, Data Processing, Manufacturing Processes, Engineering Analysis, Process Engineering, Big Data, Chemical Engineering, Predictive Modeling, Innovation, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      344 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The Chinese University of Hong Kong

      Everyday Chinese Medicine

      Skills you'll gain: Patient Evaluation, General Medicine, Health Care, Health Assessment, Patient Education and Support, Physical Therapy, Preventative Care, Mindfulness, Nutrition and Diet, Pharmacology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Operations Analytics

      Skills you'll gain: Business Analytics, Descriptive Analytics, Predictive Analytics, Analytics, Demand Planning, Data-Driven Decision-Making, Operational Analysis, Business Operations, Risk Analysis, Forecasting, Operations Management, Simulation and Simulation Software, Process Optimization, Decision Making, Decision Tree Learning, Spreadsheet Software, Microsoft Excel, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • 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

    • D

      Duke University

      MLOps | Machine Learning Operations

      Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, Software Testing, Data Import/Export, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), Rust (Programming Language)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      450 reviews

      Advanced · Specialization · 3 - 6 Months

    • N

      New York Institute of Finance

      Risk Management

      Skills you'll gain: Credit Risk, Operational Risk, Risk Management, Risk Management Framework, Business Risk Management, Risk Modeling, Risk Mitigation, Financial Market, Enterprise Risk Management (ERM), Risk Appetite, Risk Control, Derivatives, Governance, Portfolio Management, Risk Analysis, Capital Markets, Investment Management, Financial Analysis, Market Data, Key Performance Indicators (KPIs)

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

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Amsterdam

      Quantitative Methods

      Skills you'll gain: Scientific Methods, Research Design, Sampling (Statistics), Science and Research, Research, Research Methodologies, Surveys, Quantitative Research, Social Sciences, Experimentation, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.3K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Financial Planning for Young Adults

      Skills you'll gain: Financial Planning, Investments, Budgeting, Risk Management, Goal Setting, Loans, Finance, Insurance, Credit Risk

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    Applied Data Science learners also search

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

    • The Mathematics of Democracy, Politics and Manipulation: Johns Hopkins University
    • Data Analysis Using SQL: Fractal Analytics
    • Supply Chain Management: A Learning Perspective : Korea Advanced Institute of Science and Technology(KAIST)
    • Introduction to Chemistry: Reactions and Ratios: Duke University
    • Materials Data Sciences and Informatics: Georgia Institute of Technology
    • Everyday Chinese Medicine: The Chinese University of Hong Kong
    • Operations Analytics: University of Pennsylvania
    • Scrum Master Certification: LearnQuest
    • MLOps | Machine Learning Operations: Duke University
    • Risk Management: New York Institute of Finance

    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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