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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 Trial
      Free Trial
      I

      IBM

      Introduction to Test and Behavior Driven Development

      Skills you'll gain: Test Driven Development (TDD), Gherkin (Scripting Language), Code Coverage, Behavior-Driven Development, Software Testing, Unit Testing, Test Automation, Test Case, Test Data, Integration Testing, Restful API, Microservices

      4.8
      Rating, 4.8 out of 5 stars
      ·
      229 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universidad Austral

      Conceptos base para el estudio del medio ambiente

      Skills you'll gain: Environmental Science, Chemistry, Biology, Environment, Data Analysis, Environmental Engineering, Physical Science, Life Sciences, Biochemistry, Statistical Analysis, Probability & Statistics, Physics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      527 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Petroleum Engineering with AI Applications

      Skills you'll gain: Energy and Utilities, Safety Assurance, Environmental Regulations, Accident Prevention, Environment and Resource Management, Big Data, Plant Operations and Management, Waste Minimization, Fire And Life Safety, Process Engineering, Chemical Engineering, Environmental Engineering, Risk Analysis, Failure Mode And Effects Analysis, Data Processing, Process Control, Electric Power Systems, Applied Machine Learning, Manufacturing and Production, Artificial Intelligence and Machine Learning (AI/ML)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      136 reviews

      Advanced · Specialization · 3 - 6 Months

    • E

      Edureka

      Advanced Microsoft Power BI

      Skills you'll gain: Dashboard, Power BI, Data Transformation, Data Modeling, Interactive Data Visualization, Microsoft Power Platform, Data Visualization Software, Business Intelligence, Predictive Analytics, Microsoft Excel, Data Analysis, Data Integration, Data Cleansing, Key Performance Indicators (KPIs)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      69 reviews

      Advanced · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Aprendizaje de las matemáticas de primaria

      Skills you'll gain: Mathematics Education, Arithmetic, Geometry, Systems Of Measurement, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      502 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      Tableau Learning Partner

      Data Ecosystem

      Skills you'll gain: Data Governance, Data Ethics, Data Warehousing, Extract, Transform, Load, Data Quality, Data Management, Tableau Software, Data Lakes, Data Architecture, Data Literacy, Data Storage, Data Modeling, Data Infrastructure, Databases, Business Intelligence, Data Integrity, Spreadsheet Software, Database Management, Relational Databases

      4.7
      Rating, 4.7 out of 5 stars
      ·
      102 reviews

      Beginner · 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, Artificial Intelligence, Simulations, Computational Thinking, Theoretical Computer Science, Algorithms, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      316 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Politecnico di Milano

      Ethics of Artificial Intelligence

      Skills you'll gain: Ethical Standards And Conduct, Data Ethics, Artificial Intelligence, Governance, Policty Analysis, Research, and Development, Public Policies, Social Sciences, Policy Development, Economics, Policy, and Social Studies, Social Justice, Law, Regulation, and Compliance, Information Privacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      217 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Cloud Fundamentals: Core Infrastructure en Español

      Skills you'll gain: Cloud Infrastructure, Cloud Applications, Identity and Access Management, Infrastructure As A Service (IaaS), Google Cloud Platform, Kubernetes, Cloud Services, Public Cloud, Cloud Computing, Network Infrastructure, Cloud Storage, Containerization, Platform As A Service (PaaS), Serverless Computing, Load Balancing, Data Storage Technologies, Scalability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • 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
      ·
      185 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      GIS, Mapping, and Spatial Analysis Capstone

      Skills you'll gain: Spatial Analysis, Geographic Information Systems, Geospatial Mapping, ArcGIS, Data Visualization, Data Compilation, Data Mapping, Data Storytelling, Metadata Management, Data Integration, Data Management

      4.9
      Rating, 4.9 out of 5 stars
      ·
      311 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Intro to AR/VR/MR/XR: Technologies, Applications & Issues

      Skills you'll gain: Augmented and Virtual Reality (AR/VR), Augmented Reality, Virtual Reality, Web Content Accessibility Guidelines, Emerging Technologies, Virtual Environment, Display Devices, Design Strategies, Human Computer Interaction, User Experience Design, Information Privacy, Conceptual Design, Diversity Equity and Inclusion Initiatives, Innovation, Personally Identifiable Information, Safety and Security, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      385 reviews

      Beginner · Course · 1 - 4 Weeks

    Applied Data Science learners also search

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    Data
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    1…175176177…834

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

    • Introduction to Test and Behavior Driven Development: IBM
    • Conceptos base para el estudio del medio ambiente: Universidad Austral
    • Petroleum Engineering with AI Applications: L&T EduTech
    • Advanced Microsoft Power BI: Edureka
    • Aprendizaje de las matemáticas de primaria: Universidad de los Andes
    • Data Ecosystem: Tableau Learning Partner
    • 人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic): National Taiwan University
    • Ethics of Artificial Intelligence: Politecnico di Milano
    • Google Cloud Fundamentals: Core Infrastructure en Español: Google Cloud
    • Customer Understanding and Digital Marketing Channels: Unilever

    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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