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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 Trial
      Free Trial
      E

      EDHEC Business School

      Investment Management with Python and Machine Learning

      Skills you'll gain: Investment Management, Portfolio Management, Text Mining, Asset Management, Network Analysis, Data Visualization Software, Machine Learning Methods, Financial Data, Unstructured Data, Predictive Modeling, Web Scraping, Machine Learning, Advanced Analytics, Financial Statements, Applied Machine Learning, Financial Market, Financial Analysis, Financial Modeling, Return On Investment, Risk Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      Financial Engineering and Risk Management

      Skills you'll gain: Portfolio Management, Derivatives, Financial Market, Securities (Finance), Investment Management, Financial Systems, Asset Management, Credit Risk, Actuarial Science, Mortgage Loans, Mathematical Modeling, Mathematics and Mathematical Modeling, Applied Mathematics, Financial Trading, Financial Modeling, Risk Modeling, Regression Analysis, Market Liquidity, Capital Markets, Statistical Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      376 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Model Thinking

      Skills you'll gain: Mathematical Modeling, Systems Thinking, Diversity and Inclusion, Game Theory, Innovation, Behavioral Economics, Analysis, Strategic Decision-Making, Social Studies, Decision Making, Network Analysis, Trend Analysis, Economics, Probability, Human Learning, Market Dynamics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Getting Started with Git and GitHub

      Skills you'll gain: Git (Version Control System), GitHub, Version Control, Collaborative Software, Web Applications, Open Source Technology, Command-Line Interface, DevOps

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Sports Performance Analytics

      Skills you'll gain: Forecasting, Statistical Methods, Regression Analysis, Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Correlation Analysis, Predictive Analytics, Predictive Modeling, Matplotlib, Applied Machine Learning, Kinesiology, Injury Prevention, Statistical Machine Learning, Analytics, Data Analysis, Statistical Analysis, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      257 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Advanced React

      Skills you'll gain: Jest (JavaScript Testing Framework), React.js, JavaScript Frameworks, API Design, Unit Testing, UI Components, TypeScript, Javascript, Integration Testing

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

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of London

      Finding Your Professional Voice: Confidence & Impact

      Skills you'll gain: Public Speaking, Verbal Communication Skills, Assertiveness, Self-Awareness, Communication, Personal Attributes, Executive Presence, Emotional Intelligence, Mindfulness, Respiration, Stress Management, Anatomy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      A Crash Course in Causality: Inferring Causal Effects from Observational Data

      Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Statistical Software, Statistical Modeling, Statistical Inference, Data Analysis, Probability & Statistics, Regression Analysis, Research Design, Graph Theory

      4.7
      Rating, 4.7 out of 5 stars
      ·
      564 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Building AI Powered Chatbots Without Programming

      Skills you'll gain: Workflow Management, ChatGPT, Application Deployment, IBM Cloud, Artificial Intelligence, Business Process Automation, Generative AI, Automation, Customer Service, Customer experience improvement, Decision Support Systems, Interaction Design

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Essential Google Cloud Infrastructure: Core Services

      Skills you'll gain: Identity and Access Management, Google Cloud Platform, Cloud Infrastructure, Infrastructure As A Service (IaaS), Cloud Computing, Cloud Services, Data Storage Technologies, Cloud Storage, Cloud Security, Databases, System Monitoring

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Plant Bioinformatic Methods

      Skills you'll gain: Bioinformatics, Network Analysis, Research Reports, Molecular Biology, Molecular, Cellular, and Microbiology, Biology, Analysis, Data Analysis, Data Synthesis, Big Data, Statistical Methods, Data Visualization Software, Data Analysis Software, Data Mining, Experimentation, Scientific Visualization, Life Sciences, Interactive Data Visualization, Statistical Analysis, Databases

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.1K reviews

      Beginner · Specialization · 3 - 6 Months

    Applied Data Science learners also search

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    1…727374…834

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

    • Investment Management with Python and Machine Learning: EDHEC Business School
    • Financial Engineering and Risk Management: Columbia University
    • Model Thinking: University of Michigan
    • Getting Started with Git and GitHub: IBM
    • Machine Learning and Reinforcement Learning in Finance: New York University
    • Sports Performance Analytics: University of Michigan
    • Advanced React: Meta
    • Finding Your Professional Voice: Confidence & Impact: University of London
    • A Crash Course in Causality: Inferring Causal Effects from Observational Data: University of Pennsylvania
    • Building AI Powered Chatbots Without Programming: IBM

    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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