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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

    • I

      IBM

      Assessment for Data Analysis and Visualization Foundations

      Skills you'll gain: Data Mining, Dashboard, Microsoft Excel, Data Quality, Data Cleansing, Data Analysis, Data Visualization Software, Spreadsheet Software, IBM Cognos Analytics, Exploratory Data Analysis, Pivot Tables And Charts, Data Manipulation, Data Wrangling, Analytics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      293 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Advanced R Programming

      Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Programming Principles, Data Manipulation, Data Structures, Software Design Patterns, Performance Tuning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      574 reviews

      Intermediate · Course · 1 - 3 Months

    • R

      Rutgers the State University of New Jersey

      Supply Chain Analytics Essentials

      Skills you'll gain: Supply Chain, Supply Chain Management, Supplier Performance Management, Analytics, Business Analytics, Data Analysis, Competitive Analysis, Job Analysis, Inventory and Warehousing, Demand Planning, Data-Driven Decision-Making, Logistics, Financial Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Pennsylvania

      Single Variable Calculus

      Skills you'll gain: Calculus, Numerical Analysis, Applied Mathematics, Engineering Calculations, Integral Calculus, Engineering Analysis, Mathematical Theory & Analysis, Differential Equations, Advanced Mathematics, Estimation, Derivatives

      4.6
      Rating, 4.6 out of 5 stars
      ·
      418 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Introduction to Basic Game Development using Scratch

      Skills you'll gain: Event-Driven Programming, Debugging, Programming Principles, Algorithms, Video Game Development, Computer Programming Tools, Game Design, Computer Programming, Program Development, Animation and Game Design, Interactive Design, Integrated Development Environments, Computer Science

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

      Beginner · Guided Project · Less Than 2 Hours

    • U

      UBITS

      Introducción a la inteligencia emocional

      Skills you'll gain: Emotional Intelligence, Personal Development, Self-Awareness, Persistence, Self-Discipline, Social Skills, Self-Motivation, Adaptability, Resilience, Interpersonal Communications, Cultural Diversity, Communication, Decision Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      980 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Equivalent Circuit Cell Model Simulation

      Skills you'll gain: Simulations, Mathematical Modeling, Electrical Engineering, Electronic Systems, Power Electronics, Matlab, Electrical Systems, Engineering Calculations, Laboratory Testing, Computational Logic, Basic Electrical Systems, Applied Mathematics, Data Analysis Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      547 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      The Social and Technical Context of Health Informatics

      Skills you'll gain: Health Informatics, Health Technology, Health Policy, Health Care, Healthcare Industry Knowledge, Health Information Management, Information Technology, Health Care Procedure and Regulation, System Requirements, Interoperability, Electronic Medical Record, Data Literacy, Technology Strategies, Medical Imaging, Emerging Technologies, Information Privacy

      4.3
      Rating, 4.3 out of 5 stars
      ·
      518 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Analysis Using Pyspark

      Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Visualization, Data Analysis, Data Manipulation, Query Languages, Google Cloud Platform

      4.5
      Rating, 4.5 out of 5 stars
      ·
      301 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Use Canva to Create Social Media Visuals for Business

      Skills you'll gain: Social Media Content, Social Media, Facebook, Content Creation, Marketing Materials, Social Media Marketing, Instagram, Data Visualization, Digital Publishing, Brand Management

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.3K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • É

      École Polytechnique

      Quantum Optics 1 : Single Photons

      Skills you'll gain: Physics, Experimentation, Quantitative Research, Cryptography, Mathematical Modeling, Applied Mathematics, Engineering, Scientific, and Technical Instruments, Emerging Technologies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      331 reviews

      Mixed · Course · 1 - 3 Months

    • M

      Michigan State University

      Photography Techniques: Light, Content, and Sharing

      Skills you'll gain: Photography, Photo Editing, Peer Review, Color Theory, Storytelling, Creativity, Information Privacy, Web Design and Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.1K reviews

      Mixed · Course · 1 - 4 Weeks

    Applied Data Science learners also search

    Data Science
    R
    Data
    Beginner Data Science
    Data Science Projects
    Data Analytics
    Advanced Data Science
    Data Analysis
    1…133134135…834

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

    • Assessment for Data Analysis and Visualization Foundations: IBM
    • Advanced R Programming: Johns Hopkins University
    • Supply Chain Analytics Essentials: Rutgers the State University of New Jersey
    • Single Variable Calculus: University of Pennsylvania
    • Introduction to Basic Game Development using Scratch: Coursera Project Network
    • Introducción a la inteligencia emocional: UBITS
    • Equivalent Circuit Cell Model Simulation: University of Colorado Boulder
    • The Social and Technical Context of Health Informatics: Johns Hopkins University
    • Data Analysis Using Pyspark: Coursera Project Network
    • Use Canva to Create Social Media Visuals for Business: Coursera Project Network

    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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