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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

    • B

      Board Infinity

      Data Governance with Databricks

      Skills you'll gain: Data Governance, Databricks, Data Management, Data Architecture, Metadata Management, Information Management, Data Strategy, Data Security, Data Quality

      2.7
      Rating, 2.7 out of 5 stars
      ·
      27 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      Universidade Estadual de Campinas

      Pluralidades em Português Brasileiro

      Skills you'll gain: Oral Comprehension, Intercultural Competence, Language Competency, Cultural Diversity, Literacy, Vocabulary, Culture, Language Learning, Grammar

      4.8
      Rating, 4.8 out of 5 stars
      ·
      923 reviews

      Advanced · Course · 1 - 3 Months

    • I

      IBM

      Cybersecurity Case Studies and Capstone Project

      Skills you'll gain: Incident Response, Penetration Testing, Computer Security Incident Management, Cyber Threat Intelligence, Cybersecurity, Threat Detection, Vulnerability Assessments, Security Awareness, Threat Management, Malware Protection, Vulnerability Management, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.5K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Hardware Description Languages for FPGA Design

      Skills you'll gain: System Design and Implementation, Verification And Validation, Computer Engineering, Programming Principles, Development Testing, Simulations, Hardware Architecture, Functional Testing, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      598 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Introduction to Graph Theory

      Skills you'll gain: Graph Theory, Combinatorics, Network Analysis, Data Structures, Network Routing, Algorithms, Mathematical Theory & Analysis, Theoretical Computer Science, Program Development

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

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      Responsible Generative AI

      Skills you'll gain: Generative AI, Governance, Data Management, Compliance Management, Consumer Behaviour, Regulatory Compliance, Business Risk Management, Business Operations, Data Ethics, Automation, Stakeholder Management, Workforce Development, Artificial Intelligence, Technology Strategies, Cost Benefit Analysis, Business Ethics, Labor Relations, Human Resources, Operational Risk, Strategic Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      115 reviews

      Beginner · Specialization · 1 - 3 Months

    • D

      Duke University

      Writing, Running, and Fixing Code in C

      Skills you'll gain: Debugging, Software Testing, Program Development, Pseudocode, Simulations, Computer Programming, Algorithms, Development Environment, C (Programming Language), Command-Line Interface

      4.3
      Rating, 4.3 out of 5 stars
      ·
      802 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Michigan State University

      Design and Make Infographics (Project-Centered Course)

      Skills you'll gain: Infographics, Adobe Illustrator, Graphic and Visual Design, Data Mapping, Typography, Design Elements And Principles, Graphical Tools, Storytelling, Color Theory

      4.6
      Rating, 4.6 out of 5 stars
      ·
      955 reviews

      Mixed · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Advanced R Programming

      Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Programming Principles, Data Manipulation, Data Structures, Software Design Patterns, Performance Tuning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      574 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Assessment for Data Analysis and Visualization Foundations

      Skills you'll gain: Data Mining, Dashboard, Microsoft Excel, Data Quality, Data Cleansing, Data Analysis, Data Visualization Software, Spreadsheet Software, IBM Cognos Analytics, Exploratory Data Analysis, Pivot Tables And Charts, Data Manipulation, Data Wrangling, Analytics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      293 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Natural Language Processing on Google Cloud

      Skills you'll gain: Natural Language Processing, Large Language Modeling, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Cloud API, Cloud Solutions, Feature Engineering, Application Programming Interface (API)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      534 reviews

      Advanced · Course · 1 - 3 Months

    • U

      University at Buffalo

      Applied Analytics and Data for Decision Making

      Skills you'll gain: Data Literacy, Data Ethics, Data-Driven Decision-Making, Analytics, Root Cause Analysis, Lean Methodologies, Six Sigma Methodology, Operational Efficiency, Operational Excellence, ISO 9000 Series, Process Improvement, Decision Making, Quality Management Systems, Data Security, Internet Of Things

      4.6
      Rating, 4.6 out of 5 stars
      ·
      118 reviews

      Beginner · Course · 1 - 4 Weeks

    Applied Data Science learners also search

    Data Science
    R
    Data
    Beginner Data Science
    Data Science Projects
    Data Analytics
    Advanced Data Science
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    1…123124125…834

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

    • Data Governance with Databricks: Board Infinity
    • Pluralidades em Português Brasileiro: Universidade Estadual de Campinas
    • Cybersecurity Case Studies and Capstone Project: IBM
    • Hardware Description Languages for FPGA Design: University of Colorado Boulder
    • Introduction to Graph Theory: University of California San Diego
    • Responsible Generative AI: University of Michigan
    • Writing, Running, and Fixing Code in C: Duke University
    • Design and Make Infographics (Project-Centered Course): Michigan State University
    • Advanced R Programming: Johns Hopkins University
    • Assessment for Data Analysis and Visualization Foundations: IBM

    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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