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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

      Google Cloud

      Achieving Advanced Insights with BigQuery

      Skills you'll gain: SQL, Big Data, Google Cloud Platform, Data Access, Database Architecture and Administration, Performance Tuning, Jupyter, Data Warehousing, Data Security, Data Science, Data Structures

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

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Georgia Institute of Technology

      Linear Circuits 2: AC Analysis

      Skills you'll gain: Electrical Engineering, Basic Electrical Systems, Electronics, Electronic Systems, Power Electronics, Electronic Components, Network Analysis, Engineering Analysis, Mathematical Modeling, Engineering Calculations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      761 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Infosec

      Computer Forensics

      Skills you'll gain: File Systems, Microsoft Windows, Cybersecurity, TCP/IP, Network Protocols, Data Security, Information Systems Security, Litigation Support, Network Security, Operating Systems, Data Structures, General Networking, Data Validation, Record Keeping, Data Integrity, Data Storage, Data Analysis Software, User Accounts, USB, System Configuration

      4.7
      Rating, 4.7 out of 5 stars
      ·
      319 reviews

      Intermediate · Specialization · 3 - 6 Months

    • K

      Knowledge Accelerators

      Data-Driven Decisions with Power BI

      Skills you'll gain: Power BI, Dashboard, Data Import/Export, Data Transformation, Data Analysis, Data Cleansing, Data Modeling, Data Presentation, Data Visualization Software, Business Intelligence Software, Interactive Data Visualization, Data-Driven Decision-Making, Data Sharing, Data Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      262 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Minnesota

      Analysis for Business Systems

      Skills you'll gain: Business Systems Analysis, Systems Analysis, Requirements Analysis, Business Requirements, Process Flow Diagrams, User Requirements Documents, Data Modeling, Requirements Management, Business Process Modeling, Dataflow

      4.8
      Rating, 4.8 out of 5 stars
      ·
      552 reviews

      Beginner · Course · 1 - 3 Months

    • T

      The Museum of Modern Art

      Art & Inquiry: Museum Teaching Strategies For Your Classroom

      Skills you'll gain: Literacy, Teaching, Liberal Arts, Critical Thinking, Emotional Intelligence, Creativity, Instructional Strategies, Student Engagement, Self-Awareness, Curriculum Planning, Learning Styles, Empathy, Social Studies, Discussion Facilitation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      508 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      SQL for Data Science with R

      Skills you'll gain: Relational Databases, Database Design, SQL, Database Management, Databases, Query Languages, Data Analysis, Exploratory Data Analysis, R Programming, Data Manipulation, Data Modeling, Data Access

      4.3
      Rating, 4.3 out of 5 stars
      ·
      176 reviews

      Beginner · Course · 1 - 3 Months

    • P

      Pontificia Universidad Católica de Chile

      Explorando la Energía Sustentable

      Skills you'll gain: Energy and Utilities, Systems Of Measurement, Environmental Issue, Environmental Resource Management, Mitigation, Natural Resource Management, Environment, Physics, Economic Development, Environmental Engineering, Environmental Science, Mathematical Modeling, Electric Power Systems

      4.8
      Rating, 4.8 out of 5 stars
      ·
      724 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Introduction to High-Performance and Parallel Computing

      Skills you'll gain: Bash (Scripting Language), Scalability, Distributed Computing, Computer Systems, Big Data, Operating Systems, Performance Tuning, File Systems, Linux, Command-Line Interface, Programming Principles, OS Process Management

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      137 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      W

      West Virginia University

      Wood Science: Beyond Building

      Skills you'll gain: Economics, Environment and Resource Management, Natural Resource Management, Supply And Demand, Environmental Science, Product Knowledge, Environmental Engineering, Construction, Product Lifecycle Management, Structural Engineering

      4.6
      Rating, 4.6 out of 5 stars
      ·
      777 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google

      Discover the Art of Prompting

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, ChatGPT, Technical Writing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      40 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      Snowflake

      Snowflake Generative AI

      Skills you'll gain: Prompt Engineering, Generative AI, Data Manipulation, OpenAI, Snowflake Schema, ChatGPT, Large Language Modeling, Application Deployment, Data Lakes, Data Warehousing, SQL, Natural Language Processing, Unstructured Data, Data Pipelines, Cloud Applications, Extract, Transform, Load, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      105 reviews

      Beginner · Professional Certificate · 1 - 3 Months

    Applied Data Science learners also search

    Data Science
    R
    Data
    Beginner Data Science
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    Data Analytics
    Advanced Data Science
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    1…148149150…834

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

    • Achieving Advanced Insights with BigQuery: Google Cloud
    • Linear Circuits 2: AC Analysis : Georgia Institute of Technology
    • Computer Forensics: Infosec
    • Data-Driven Decisions with Power BI: Knowledge Accelerators
    • Analysis for Business Systems: University of Minnesota
    • Art & Inquiry: Museum Teaching Strategies For Your Classroom: The Museum of Modern Art
    • SQL for Data Science with R: IBM
    • Explorando la Energía Sustentable: Pontificia Universidad Católica de Chile
    • Introduction to High-Performance and Parallel Computing: University of Colorado Boulder
    • Wood Science: Beyond Building: West Virginia 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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