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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
      S

      Stanford University

      Child Nutrition and Cooking

      Skills you'll gain: Nutrition Education, Cooking, Nutrition and Diet, Food and Beverage, Food Safety and Sanitation, Child Health, Working With Children, Community Health, Parent Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10K reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

      Skills you'll gain: Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Artificial Neural Networks, Machine Learning Algorithms, Analysis, Debugging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      63K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      The University of Edinburgh

      Philosophy, Science and Religion: Science and Philosophy

      Skills you'll gain: Research, Scientific Methods, Science and Research, General Science and Research, Biology, Systems Thinking, Anthropology, Cultural Responsiveness, Psychology, Sociology

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Santa Cruz

      Bayesian Statistics: From Concept to Data Analysis

      Skills you'll gain: Bayesian Statistics, Statistical Inference, Data Analysis, Probability, Statistical Modeling, Statistical Analysis, Microsoft Excel, Probability Distribution, R Programming, Regression Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Designing Effective Science Communication

      Skills you'll gain: Oral Expression, Human Learning, Education Software and Technology, Technical Communication, Education and Training, Writing, Learning Theory, Community Outreach, Pedagogy, Research, Technical Writing, Scientific Methods, Media and Communications, Science and Research, Persuasive Communication, Interviewing Skills, Photography, Infographics, Storytelling, Psychology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      122 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      Programming for Everybody (Getting Started with Python)

      Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Software Installation, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      231K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      V

      Vanderbilt University

      AI Agent Developer

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Generative AI, OpenAI, Ideation, Verification And Validation, Data Validation, Data Presentation, Productivity, AI Personalization, Document Management, Python Programming, Agentic systems, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Personalized Service, Large Language Modeling, Risk Management Framework, Expense Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      S

      Stanford University

      Writing in the Sciences

      Skills you'll gain: Grant Writing, Peer Review, Technical Writing, Technical Communication, Writing, Scientific Methods, Journals, Editing, Research, Media and Communications, Ethical Standards And Conduct

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9.4K reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Convolutional Neural Networks

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, PyTorch (Machine Learning Library), Artificial Intelligence, Data Processing, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      42K reviews

      Intermediate · Course · 1 - 4 Weeks

    • S

      Stanford University

      Graph Search, Shortest Paths, and Data Structures

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Model, Network Analysis, Computational Thinking, Theoretical Computer Science, Network Routing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • O

      Olay

      Introduction to Cosmetic Science and Ingredients

      Skills you'll gain: Laboratory Experience, Quality Control, Product Development, Packaging and Labeling, Quality Assurance, Laboratory Equipment, Prototyping, Product Quality (QA/QC), New Product Development, Statistical Process Controls, Product Design, Good Manufacturing Practices, Quality Management, Quality Management Systems, Product Testing, Laboratory Testing, Chemistry, Safety Training, Personal Care, Safety Assurance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      397 reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Meta

      Introduction to Data Analytics

      Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Cleansing, Data Modeling, Analytics, Data Analysis, Data Visualization, Data Validation, Exploratory Data Analysis, Data Quality, Data Manipulation, Generative AI, Data Collection

      4.8
      Rating, 4.8 out of 5 stars
      ·
      832 reviews

      Beginner · Course · 1 - 3 Months

    Applied Data Science learners also search

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

    • Child Nutrition and Cooking: Stanford University
    • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
    • Philosophy, Science and Religion: Science and Philosophy: The University of Edinburgh
    • Bayesian Statistics: From Concept to Data Analysis: University of California, Santa Cruz
    • Designing Effective Science Communication: University of Colorado Boulder
    • Programming for Everybody (Getting Started with Python): University of Michigan
    • AI Agent Developer: Vanderbilt University
    • Writing in the Sciences: Stanford University
    • Convolutional Neural Networks: DeepLearning.AI
    • Graph Search, Shortest Paths, and Data Structures: Stanford University

    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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