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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: New AI skills
      New AI skills
      G

      Google

      Google UX Design

      Skills you'll gain: Storyboarding, Wireframing, Responsive Web Design, User Experience Design, Design Thinking, User Research, UI/UX Research, Information Architecture, Figma (Design Software), Usability Testing, User Story, Web Design, Design Reviews, Usability, Presentations, User Experience, Design Research, Ideation, User Centered Design, Mockups

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      90K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      S

      Stanford University

      Stanford Introduction to Food and Health

      Skills you'll gain: Cooking, Nutrition and Diet, Preventative Care, Food and Beverage, Public Health and Disease Prevention, Behavioral Health, Clinical Nutrition, Chronic Diseases

      4.7
      Rating, 4.7 out of 5 stars
      ·
      34K reviews

      Beginner · Course · 1 - 3 Months

    • V

      Vanderbilt University

      ChatGPT: Master Free AI Tools to Supercharge Productivity

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Productivity, AI Personalization, OpenAI, Artificial Intelligence, Personalized Service, Large Language Modeling, Expense Management, Creative Thinking, Ingenuity, Productivity Software, Brainstorming, Travel Arrangements, Innovation, Scenario Testing, Problem Solving, Application Development, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Pennsylvania

      Data Analysis Using Python

      Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Manipulation, Scatter Plots, NumPy, Data Transformation, Jupyter, Data Validation, Data Import/Export, Histogram, Data Structures, Programming Principles, Scripting Languages

      4.5
      Rating, 4.5 out of 5 stars
      ·
      416 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google

      Google Business Intelligence

      Skills you'll gain: Business Intelligence, Data Modeling, Dashboard, Database Design, Extract, Transform, Load, Data Integration, Stakeholder Engagement, Data Warehousing, Data Presentation, Performance Tuning, Data Pipelines, Data Visualization Software, Business Reporting, Data Integrity, Business Analytics, Real Time Data, Requirements Elicitation, Scalability, Business Process, Data-Driven Decision-Making

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • D

      Duke University

      Applied Python Data Engineering

      Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Snowflake Schema, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, Interactive Data Visualization, Plotly, Data Pipelines, Kubernetes, Matplotlib, Apache Spark, Dashboard, Virtualization, MLOps (Machine Learning Operations), Devops Tools, Apache Hadoop

      3.8
      Rating, 3.8 out of 5 stars
      ·
      95 reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of Colorado Boulder

      Foundations of Data Structures and Algorithms

      Skills you'll gain: Theoretical Computer Science, Algorithms, Data Structures, Graph Theory, Operations Research, Public Key Cryptography Standards (PKCS), Computational Thinking, Computer Programming, Computational Logic, Cryptography, Computer Science, Programming Principles, Applied Mathematics, Advanced Mathematics, Mathematical Theory & Analysis, Encryption, Network Model, Linear Algebra, Combinatorics, Tree Maps

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      804 reviews

      Advanced · Specialization · 1 - 3 Months

    • M

      Microsoft

      Harnessing the Power of Data with Power BI

      Skills you'll gain: Power BI, Data-Driven Decision-Making, Data Analysis, Data Collection, Business Intelligence, Analytical Skills, Data Transformation, Data Visualization Software, Microsoft 365

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      IBM Data Analyst Capstone Project

      Skills you'll gain: Dashboard, Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Cleansing, IBM Cognos Analytics, Data Manipulation, Data Collection, Data Presentation, Data Analysis, Web Scraping, Data Storytelling, Box Plots, Pandas (Python Package), Scatter Plots, Histogram

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

      Advanced · Course · 1 - 3 Months

    • A

      Amazon Web Services

      Getting Started with Data Analytics on AWS

      Skills you'll gain: Descriptive Analytics, Analytics, Data Analysis, Dashboard, Data Literacy, AWS Identity and Access Management (IAM), Data Visualization, Amazon Web Services, Big Data, Amazon S3, Business Intelligence, Cloud Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      889 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Science of Exercise

      Skills you'll gain: Kinesiology, Nutrition and Diet, Health Assessment, Pharmacology, Public Health and Disease Prevention, Preventative Care, Respiration, Anatomy, Chronic Diseases, Vital Signs, Biochemistry, Biology, Cardiology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Washington

      Computational Neuroscience

      Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    Applied Data Science learners also search

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

    • Google UX Design: Google
    • Stanford Introduction to Food and Health: Stanford University
    • ChatGPT: Master Free AI Tools to Supercharge Productivity: Vanderbilt University
    • Data Analysis Using Python: University of Pennsylvania
    • Google Business Intelligence: Google
    • Applied Python Data Engineering: Duke University
    • Foundations of Data Structures and Algorithms: University of Colorado Boulder
    • Harnessing the Power of Data with Power BI: Microsoft
    • IBM Data Analyst Capstone Project: IBM
    • Getting Started with Data Analytics on AWS: Amazon Web Services

    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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