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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

    • R

      Rice University

      Mindfulness and Well-being: Foundations

      Skills you'll gain: Mindfulness, Self-Awareness, Mental Health, Mental Concentration, Stress Management, Personal Development, Resilience, Cognitive flexibility, Persistence, Overcoming Obstacles, Emotional Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      824 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Minnesota

      Interprofessional Healthcare Informatics

      Skills you'll gain: Health Informatics, Health Technology, Telehealth, Interoperability, Electronic Medical Record, Health Care, Health Information Management, Community Health, Health Systems, Public Health, Data Ethics, Nursing, Information Privacy, Medical Terminology

      4.4
      Rating, 4.4 out of 5 stars
      ·
      313 reviews

      Mixed · Course · 1 - 3 Months

    • G

      Google

      Google Data Analytics

      Skills you'll gain: Data Presentation, Data Storytelling, Presentations, Data Cleansing, Data Visualization, Rmarkdown, Data-Driven Decision-Making, Data Validation, Data Ethics, Analytical Skills, Dashboard, Spreadsheet Software, Ggplot2, Google Sheets, SQL, Data Literacy, Data Collection, Sampling (Statistics), Data Analysis, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      312 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      N

      National Taiwan University

      Operations Research (1): Models and Applications

      Skills you'll gain: Operations Research, Mathematical Modeling, Process Optimization, Business Modeling, Industrial Engineering, Business Analytics, Production Planning, Inventory Management System, Microsoft Excel, Scheduling, Linear Algebra

      4.8
      Rating, 4.8 out of 5 stars
      ·
      540 reviews

      Beginner · Course · 1 - 3 Months

    • I

      Infosec

      Cybersecurity Foundations

      Skills you'll gain: Penetration Testing, Cyber Security Policies, Linux Commands, Cyber Security Assessment, Command-Line Interface, Cybersecurity, Cloud Computing, Linux, Risk Management Framework, Network Monitoring, Security Management, Operating Systems, Cyber Risk, Threat Management, General Networking, Vulnerability Assessments, Windows PowerShell, Cyber Governance, Microsoft Windows, Virtual Machines

      4.7
      Rating, 4.7 out of 5 stars
      ·
      614 reviews

      Beginner · Specialization · 1 - 3 Months

    • L

      LearnQuest

      Linux Fundamentals

      Skills you'll gain: Linux, Linux Commands, Linux Administration, File Management, Command-Line Interface, Unix Commands, Servers, Operating Systems, Nginx, Web Servers, IT Automation, Apache, MySQL, Open Source Technology, Service Management

      4.5
      Rating, 4.5 out of 5 stars
      ·
      901 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      Infosec

      Python for Cybersecurity

      Skills you'll gain: MITRE ATT&CK Framework, Cyber Threat Hunting, Threat Detection, Threat Modeling, Cybersecurity, Network Security, System Monitoring, Cyber Operations, Continuous Monitoring, Cyber Threat Intelligence, Endpoint Security, Incident Response, Scripting, Network Monitoring, Command-Line Interface, Python Programming, Data Access, Authorization (Computing), IT Automation, Intrusion Detection and Prevention

      4.5
      Rating, 4.5 out of 5 stars
      ·
      501 reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      IBM

      Generative AI: Enhance your Data Analytics Career

      Skills you'll gain: Generative AI, Data Storytelling, OpenAI, Analytics, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Dashboard, Prompt Engineering, ChatGPT, Data Ethics, Data Visualization Software, SQL, Python Programming, Query Languages

      4.6
      Rating, 4.6 out of 5 stars
      ·
      111 reviews

      Intermediate · Course · 1 - 4 Weeks

    • E

      Edureka

      MySQL for Data Analytics and Business Intelligence

      Skills you'll gain: MySQL, Relational Databases, Database Management, SQL, Databases, Business Intelligence, Data Storytelling, Role-Based Access Control (RBAC), Data Visualization Software, Data Warehousing, Data Access, Data Literacy, Query Languages, Data Transformation, Performance Tuning

      3.8
      Rating, 3.8 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      Institute for the Future

      Ready, Set, Future! Introduction to Futures Thinking

      Skills you'll gain: Forecasting, Innovation, Proactivity, Strategic Thinking, Creative Thinking, Optimism, Systems Thinking, Cognitive flexibility, Trend Analysis, Professional Development, Adaptability, Analysis

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

      Beginner · Course · 1 - 4 Weeks

    • M

      McMaster University

      Hacking Exercise For Health. The surprising new science of fitness.

      Skills you'll gain: Kinesiology, Productivity, Cardiology, Stress Management, Time Management, Adaptability, Respiration, Rehabilitation, Nutrition and Diet, Planning, Mental Health, Goal Setting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      801 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Managing Data Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Analysis, Data Presentation, Data Management, Management Training And Development, Technical Communication, Team Management, Analytical Skills, Team Leadership, Statistical Inference, Statistical Modeling, Communication

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.4K reviews

      Mixed · Course · 1 - 4 Weeks

    Applied Data Science learners also search

    Data Science
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    Data
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    1…115116117…834

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

    • Mindfulness and Well-being: Foundations: Rice University
    • Interprofessional Healthcare Informatics : University of Minnesota
    • Google Data Analytics: Google
    • Operations Research (1): Models and Applications: National Taiwan University
    • Cybersecurity Foundations: Infosec
    • Linux Fundamentals: LearnQuest
    • Python for Cybersecurity: Infosec
    • Generative AI: Enhance your Data Analytics Career : IBM
    • MySQL for Data Analytics and Business Intelligence: Edureka
    • Ready, Set, Future! Introduction to Futures Thinking: Institute for the Future

    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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