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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

    • G

      Georgia Institute of Technology

      Games without Chance: Combinatorial Game Theory

      Skills you'll gain: Game Theory, Combinatorics, Mathematical Theory & Analysis, Computational Logic, Mathematical Modeling

      4.3
      Rating, 4.3 out of 5 stars
      ·
      210 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Linear Regression in R for Public Health

      Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Exploratory Data Analysis, Statistical Analysis, Statistical Programming, Statistical Software, Statistical Methods, Probability & Statistics, Biostatistics, Epidemiology, Data Import/Export

      4.8
      Rating, 4.8 out of 5 stars
      ·
      520 reviews

      Intermediate · Course · 1 - 4 Weeks

    • É

      École Polytechnique

      Wind resources for renewable energies

      Skills you'll gain: Water Resources, Hydraulics, Data Analysis, Real Time Data, Physical Science, Estimation, Spatial Data Analysis, Environment and Resource Management, Mathematical Modeling, Environmental Engineering, Applied Mathematics, Systems Of Measurement, Mechanics

      3.6
      Rating, 3.6 out of 5 stars
      ·
      130 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Full Stack Software Developer Assessment

      Skills you'll gain: Cloud Computing, Cloud Infrastructure, Cloud Services, JavaScript Frameworks, Back-End Web Development, DevOps, Full-Stack Web Development, OpenShift, Version Control, Cloud Development, CI/CD, Software Development, Cloud-Native Computing, Web Applications, Microservices, Containerization, Kubernetes, Web Development, Serverless Computing, Docker (Software)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      273 reviews

      Intermediate · Course · 1 - 4 Weeks

    • N

      National Taiwan University

      人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic)

      Skills you'll gain: Computational Logic, Logical Reasoning, Artificial Intelligence, Programming Principles, Computer Science, Computational Thinking, Algorithms, Game Theory

      4.8
      Rating, 4.8 out of 5 stars
      ·
      317 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Pennsylvania

      Calculus: Single Variable Part 1 - Functions

      Skills you'll gain: Calculus, Engineering Calculations, Mathematical Theory & Analysis, Algebra, Advanced Mathematics, Applied Mathematics, Derivatives

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

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Mastering Data Analysis with Pandas

      Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, NumPy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      165 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      Unilever

      Customer Understanding and Digital Marketing Channels

      Skills you'll gain: Customer Insights, Digital Marketing, Customer Analysis, Marketing Strategies, Customer experience strategy (CX), Marketing Planning, Content Marketing, Social Media Marketing, Marketing Channel, Target Audience, Persona Development, Marketing Analytics, Brand Marketing, Goal Setting, E-Commerce

      4.7
      Rating, 4.7 out of 5 stars
      ·
      189 reviews

      Beginner · Course · 1 - 4 Weeks

    • É

      École Polytechnique

      Hydro, Wind & Solar power: Resources, Variability & Forecast

      Skills you'll gain: Energy and Utilities, Electrical Power, Electric Power Systems, Environmental Resource Management, Water Resources, Time Series Analysis and Forecasting, Environment, Estimation, Hydraulics, Mathematical Modeling, Systems Of Measurement, Physical Science, Environmental Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      145 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      ChatGPT for Beginners: SciFi Writing with Dall-e

      Skills you'll gain: Prompt Engineering, ChatGPT, OpenAI, Generative AI, Artificial Intelligence, Storytelling, Storyboarding, Writing, Ideation, Creativity, Editing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      428 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Instructor Network

      Emotional Intelligence in Leadership

      Skills you'll gain: Emotional Intelligence, Conflict Management, Empathy, Leadership Development, Personal Development, Leadership, Self-Awareness, Professional Development, Adaptability, Relationship Building, Team Management, Self-Discipline, Communication, Active Listening, Stress Management, Decision Making, Mindfulness

      4.8
      Rating, 4.8 out of 5 stars
      ·
      115 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Geneva

      Climate Change and Water in Mountains: A Global Concern

      Skills you'll gain: Water Resources, Risk Management, Natural Resource Management, Environment, Environment and Resource Management, Environmental Policy, Social Sciences, Systems Thinking, Governance, Economics, Policy, and Social Studies, Environmental Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      319 reviews

      Intermediate · Course · 1 - 3 Months

    Applied Data Science learners also search

    Data Science
    R
    Data
    Beginner Data Science
    Data Science Projects
    Data Analytics
    Advanced Data Science
    Data Analysis
    1…223224225…834

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

    • Games without Chance: Combinatorial Game Theory : Georgia Institute of Technology
    • Linear Regression in R for Public Health : Imperial College London
    • Wind resources for renewable energies: École Polytechnique
    • Full Stack Software Developer Assessment: IBM
    • 人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic): National Taiwan University
    • Calculus: Single Variable Part 1 - Functions: University of Pennsylvania
    • Mastering Data Analysis with Pandas: Coursera Project Network
    • Customer Understanding and Digital Marketing Channels: Unilever
    • Hydro, Wind & Solar power: Resources, Variability & Forecast: École Polytechnique
    • ChatGPT for Beginners: SciFi Writing with Dall-e: 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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