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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

    • T

      The State University of New York

      Solar Energy Basics

      Skills you'll gain: Electric Power Systems, Electrical Systems, Electrical Power, Energy and Utilities, Basic Electrical Systems, Electronic Components, Cost Estimation, Building Codes, Engineering Calculations, Environment and Resource Management, Emerging Technologies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      Technical University of Denmark (DTU)

      Wind Energy

      Skills you'll gain: Mechanical Engineering, Engineering Calculations, Engineering, High Voltage, Systems Engineering, Energy and Utilities, Time Series Analysis and Forecasting, Electrical Power, Structural Analysis, Financial Analysis, Environmental Monitoring, Failure Analysis, Engineering Design Process, Predictive Modeling, Geospatial Information and Technology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.2K reviews

      Mixed · Course · 3 - 6 Months

    • Status: Free
      Free
      U

      Universidad Austral

      Excel aplicado a los negocios (Nivel Avanzado)

      Skills you'll gain: Excel Macros, Microsoft Excel, Excel Formulas, Spreadsheet Software, Business Analysis, Data Validation, Business Analytics, Data Import/Export, Data Maintenance, Process Optimization, Data Analysis Software, Business Modeling, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California, Davis

      GIS Data Formats, Design and Quality

      Skills you'll gain: Spatial Data Analysis, Spatial Analysis, ArcGIS, Geographic Information Systems, Geospatial Mapping, Data Quality, Data Mapping, Data Modeling, Data Storage, Data Sharing, Data Manipulation, Relational Databases, Query Languages

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Python Functions, Files, and Dictionaries

      Skills you'll gain: Data Import/Export, Python Programming, File Management, Programming Principles, Data Processing, Data Structures, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.4K reviews

      Beginner · Course · 1 - 3 Months

    • D

      Duke University

      The Brain and Space

      Skills you'll gain: Spatial Analysis, Neurology, Human Learning, Experimentation, Laboratory Research, Physics, Biology, General Science and Research, Magnetic Resonance Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      652 reviews

      Beginner · Course · 1 - 3 Months

    • I

      IE Business School

      Market Research and Consumer Behavior

      Skills you'll gain: Survey Creation, Surveys, Market Research, Business Research, Consumer Behaviour, Marketing Strategies, Research Design, Data Analysis, Research Reports, Market Analysis, Research Methodologies, Experimentation, Customer Analysis, Focus Group, Business Marketing, Decision Making

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Epidemiology in Public Health Practice

      Skills you'll gain: Epidemiology, Public Health, Spatial Data Analysis, Data Presentation, Public Health and Disease Prevention, Geographic Information Systems, Health Policy, Chronic Diseases, Health Systems, Infectious Diseases, Biostatistics, Risk Analysis, Investigation, Community Health, Health Care, Data Analysis, Program Evaluation, Health Information Management, Health Informatics, Continuous Monitoring

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: AI skills
      AI skills
      M

      Microsoft

      Microsoft IT Support Specialist

      Skills you'll gain: Microsoft 365, Network Security, Business Software, Computer Hardware, Cybersecurity, Desktop Support, Virtual Private Networks (VPN), Network Troubleshooting, Technical Support, Hardware Troubleshooting, Hardware Architecture, Generative AI, Operating Systems, Collaborative Software, Network Protocols, TCP/IP, Application Security, Microsoft Teams, Information Systems Security, Multi-Factor Authentication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      971 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Toronto

      Communication Strategies for a Virtual Age

      Skills you'll gain: Meeting Facilitation, Presentations, Persuasive Communication, Communication, Collaboration, Team Building, Interpersonal Communications, Business Communication, Virtual Teams, Public Speaking, Non-Verbal Communication, Telecommuting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      SAS

      Data Literacy: Exploring and Visualizing Data

      Skills you'll gain: Exploratory Data Analysis, Data Literacy, Data Storytelling, Data-Driven Decision-Making, Data Presentation, SAS (Software), Trend Analysis, Data Manipulation, Data Analysis, Data Quality, Data Cleansing, Scatter Plots, Interactive Data Visualization, Technical Communication, Time Series Analysis and Forecasting, Data Ethics, Data Visualization, Data Visualization Software, Research, Business Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Big Data Technologies and Applications

      Skills you'll gain: Big Data, Data Processing, Data Analysis, Analytics, Apache Spark, Data Storage Technologies, Apache Hadoop, Real Time Data, Business Intelligence, Data Management, Distributed Computing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    Applied Data Science learners also search

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

    • Solar Energy Basics: The State University of New York
    • Wind Energy: Technical University of Denmark (DTU)
    • Excel aplicado a los negocios (Nivel Avanzado): Universidad Austral
    • GIS Data Formats, Design and Quality: University of California, Davis
    • Python Functions, Files, and Dictionaries: University of Michigan
    • The Brain and Space: Duke University
    • Market Research and Consumer Behavior: IE Business School
    • Epidemiology in Public Health Practice: Johns Hopkins University
    • Microsoft IT Support Specialist: Microsoft
    • Communication Strategies for a Virtual Age: University of Toronto

    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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