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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

      Reliable Google Cloud Infrastructure: Design and Process

      Skills you'll gain: Application Deployment, Cloud Infrastructure, CI/CD, Cloud Security, Service Level Agreement, Microservices, Service Level, Google Cloud Platform, Network Architecture, API Design, Site Reliability Engineering, Cloud Computing Architecture, Kubernetes, Restful API, Cloud Storage, Cloud Applications, Key Performance Indicators (KPIs), DevOps, Data Storage, System Design and Implementation

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

      Advanced · Course · 1 - 3 Months

    • U

      University of California San Diego

      Algorithms on Strings

      Skills you'll gain: Bioinformatics, Algorithms, Data Structures, Theoretical Computer Science, Computational Thinking, Precision Medicine, Life Sciences

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

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      3D Printing and Additive Manufacturing

      Skills you'll gain: 3D Modeling, Design Software, Design Thinking, Intellectual Property, Hardware Troubleshooting, Visualization (Computer Graphics), Computer Hardware, Hardware Design, Augmented and Virtual Reality (AR/VR), Manufacturing Processes, Emerging Technologies, Digital Design, Technical Design, Manufacturing and Production, Mechanical Design, Computer Graphics, Graphical Tools, Control Systems, Innovation, Industrial Design

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • S

      SkillUp EdTech

      Power BI Data Analyst Prep

      Skills you'll gain: Data Storytelling, Dashboard, Power BI, Interactive Data Visualization, Analytics, Data Analysis, Data Modeling, Data Visualization Software, Data Analysis Expressions (DAX), Star Schema, Data Cleansing, Data Transformation, Data Import/Export, Data Security

      4.6
      Rating, 4.6 out of 5 stars
      ·
      34 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      الذكاء الاصطناعي للجميع

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Generative AI, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Business Analysis, Data Ethics, Machine Learning, Data Science, Business Strategy, Data Literacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      908 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Advanced Styling with Responsive Design

      Skills you'll gain: Responsive Web Design, HTML and CSS, Web Design, Cascading Style Sheets (CSS), Bootstrap (Front-End Framework), Wireframing, Front-End Web Development, Browser Compatibility, Usability, User Interface (UI), Web Content Accessibility Guidelines, Mobile Development Tools

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • T

      The State University of New York

      Big Data, Genes, and Medicine

      Skills you'll gain: Data Visualization, Bioinformatics, Big Data, Analytics, Health Informatics, Medical Science and Research, Data Processing, R Programming, Predictive Modeling, Statistical Analysis, Molecular Biology, Feature Engineering, Unsupervised Learning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      284 reviews

      Advanced · Course · 1 - 3 Months

    • R

      Rice University

      Business Applications of Hypothesis Testing and Confidence Interval Estimation

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Decision Making

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

      Mixed · Course · 1 - 4 Weeks

    • R

      Rice University

      Fundamentals of Immunology: Innate Immunity and B-Cell Function

      Skills you'll gain: Public Health, Anatomy, Molecular Biology, Infectious Diseases, Medical Terminology, Biochemistry, Microbiology, Biology, Laboratory Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Digital Media and Marketing Strategies

      Skills you'll gain: Digital Media Strategy, Online Advertising, Digital Marketing, Content Marketing, Marketing Strategies, Social Media Marketing, Marketing Effectiveness, Social Media, Shared Media, Paid media, Integrated Marketing Communications, Risk Management, Search Engine Optimization, Customer Relationship Management, Owned Media, Key Performance Indicators (KPIs)

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Text Retrieval and Search Engines

      Skills you'll gain: Text Mining, Natural Language Processing, Data Mining, Unstructured Data, Big Data, Web Analytics and SEO, Machine Learning, Information Architecture, Statistical Methods, Algorithms, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      960 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      Y

      Yonsei University

      Introduction to TCP/IP

      Skills you'll gain: TCP/IP, Network Protocols, Open Shortest Path First (OSPF), Network Routing, Cybersecurity, Network Security, General Networking, Intrusion Detection and Prevention, File Transfer Protocol (FTP), Dynamic Host Configuration Protocol (DHCP), Network Architecture, System Configuration, Network Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.8K reviews

      Beginner · Course · 1 - 3 Months

    Applied Data Science learners also search

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    1…949596…834

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

    • Reliable Google Cloud Infrastructure: Design and Process: Google Cloud
    • Algorithms on Strings: University of California San Diego
    • 3D Printing and Additive Manufacturing: University of Illinois Urbana-Champaign
    • Power BI Data Analyst Prep: SkillUp EdTech
    • الذكاء الاصطناعي للجميع: DeepLearning.AI
    • Advanced Styling with Responsive Design: University of Michigan
    • Big Data, Genes, and Medicine: The State University of New York
    • Business Applications of Hypothesis Testing and Confidence Interval Estimation : Rice University
    • Fundamentals of Immunology: Innate Immunity and B-Cell Function: Rice University
    • Digital Media and Marketing Strategies: University of Illinois Urbana-Champaign

    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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