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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
      I

      IBM

      Supervised Machine Learning: Regression

      Skills you'll gain: Supervised Learning, Regression Analysis, Predictive Modeling, Machine Learning, Statistical Modeling, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Feature Engineering, Statistical Analysis, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      741 reviews

      Intermediate · Course · 1 - 3 Months

    • É

      École Nationale des Ponts et Chaussées

      Mastering bitumen for better roads and innovative applications

      Skills you'll gain: Environmental Engineering, Environment Health And Safety, Civil Engineering, Transportation Operations, Construction, Market Dynamics, Transportation, Supply Chain, and Logistics, Material Handling, Chemical Engineering, Product Testing, Technical Standard, Performance Testing, Manufacturing Processes, Laboratory Testing

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

      Intermediate · Course · 1 - 4 Weeks

    • G

      Georgia Institute of Technology

      Fundamentals of Engineering Exam Review

      Skills you'll gain: Structural Analysis, Probability & Statistics, Structural Engineering, Hydraulics, Statistical Methods, Statistics, Engineering Analysis, Mechanical Engineering, Probability, Engineering, Probability Distribution, Mechanics, Engineering Calculations, Civil Engineering, Applied Mathematics, Algebra, Advanced Mathematics, Calculus, Differential Equations, Geometry

      4.6
      Rating, 4.6 out of 5 stars
      ·
      611 reviews

      Mixed · Course · 1 - 3 Months

    • Y

      Yale University

      Overcoming Dyslexia

      Skills you'll gain: Disabilities, Special Education, Literacy, Individualized Education Programs (IEP), Mental and Behavioral Health Specialties, Working With Children, Psychological Evaluations, Education Software and Technology, Resilience, Empowerment, Learning Strategies, Law, Regulation, and Compliance, Neurology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      977 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Intro to Analytic Thinking, Data Science, and Data Mining

      Skills you'll gain: Data Ethics, Data Mining, Data Science, Business Analytics, Data Analysis, Big Data, Analytics, Business Intelligence, Descriptive Analytics, Data-Driven Decision-Making, Data Literacy, Predictive Analytics, Data Processing, Small Data

      4.2
      Rating, 4.2 out of 5 stars
      ·
      149 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      Duke University

      Data Science with R

      Skills you'll gain: Data Ethics, Version Control, Ggplot2, R Programming, Web Scraping, GitHub, Data Visualization Software, Data Visualization, Statistical Methods, Git (Version Control System), Data Wrangling, Tidyverse (R Package), Data Manipulation, Data Integrity, Data Import/Export, Data Collection, Data Cleansing, Data Quality, Data Presentation, Data Literacy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      The University of Melbourne

      Essentials of Corporate Finance

      Skills you'll gain: Financial Analysis, Financial Statement Analysis, Financial Statements, Corporate Finance, Financial Management, Accounting, Financial Systems, Financial Modeling, Investments, Capital Markets, Market Liquidity, Balance Sheet, Derivatives, Financial Market, Income Statement, Financial Data, Business Valuation, International Finance, Mergers & Acquisitions, Capital Budgeting

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

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Machine Learning With Big Data

      Skills you'll gain: Exploratory Data Analysis, Apache Spark, Big Data, Regression Analysis, Data Mining, Applied Machine Learning, Statistical Analysis, Machine Learning, Data Analysis, Unsupervised Learning, Data Transformation, Predictive Modeling, Data Cleansing, Supervised Learning, Decision Tree Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.5K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Cybersecurity Compliance Framework, Standards & Regulations

      Skills you'll gain: IT Service Management, Information Technology Infrastructure Library, Cyber Risk, Data Ethics, Cyber Governance, NIST 800-53, Information Technology, Cybersecurity, ISO/IEC 27001, Security Management, Control Objectives for Information and Related Technology (COBIT), Artificial Intelligence, Risk Management Framework, Open Web Application Security Project (OWASP), Payment Card Industry (PCI) Data Security Standards, General Data Protection Regulation (GDPR)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.4K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Modeling Risk and Realities

      Skills you'll gain: Risk Modeling, Probability Distribution, Mathematical Modeling, Statistical Modeling, Risk Management, Data Visualization, Predictive Modeling, Data Modeling, Probability & Statistics, Risk Analysis, Simulation and Simulation Software, Forecasting, Data-Driven Decision-Making, Business Analysis, Process Optimization, Microsoft Excel

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Understanding Cancer Metastasis

      Skills you'll gain: Oncology, Anatomy, Biology, Medical Terminology, Pathology, Molecular Biology

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Graphic Design

      Skills you'll gain: Graphic Design, Graphic and Visual Design, Graphic and Visual Design Software, Design, Visual Design, Typography, Adobe InDesign, Design Reviews, Adobe Photoshop, Design Elements And Principles, Peer Review, Color Theory, Editing, Creativity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.3K reviews

      Beginner · Course · 1 - 4 Weeks

    Applied Data Science learners also search

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

    • Supervised Machine Learning: Regression: IBM
    • Mastering bitumen for better roads and innovative applications: École Nationale des Ponts et Chaussées
    • Fundamentals of Engineering Exam Review: Georgia Institute of Technology
    • Overcoming Dyslexia: Yale University
    • Intro to Analytic Thinking, Data Science, and Data Mining: University of California, Irvine
    • Data Science with R: Duke University
    • Essentials of Corporate Finance: The University of Melbourne
    • Machine Learning With Big Data: University of California San Diego
    • Cybersecurity Compliance Framework, Standards & Regulations: IBM
    • Modeling Risk and Realities: University of Pennsylvania

    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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