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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

    • U

      Universitat de Barcelona

      Magic in the Middle Ages

      Skills you'll gain: European History, World History, Art History, Research, Investigation, Cultural Diversity

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to HTML, CSS, & JavaScript

      Skills you'll gain: HTML and CSS, Bootstrap (Front-End Framework), Front-End Web Development, Responsive Web Design, Web Development, Web Design, Javascript, Web Applications, Scripting, Browser Compatibility, Application Programming Interface (API)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      505 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      W

      Wesleyan University

      Data Management and Visualization

      Skills you'll gain: Descriptive Statistics, Data Manipulation, Data Presentation, Data Management, Data Literacy, Graphing, SAS (Software), Peer Review, Data Analysis, Statistics, Research Reports, Exploratory Data Analysis, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      937 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      API Design and Fundamentals of Google Cloud's Apigee API Platform

      Skills you'll gain: API Design, Restful API, API Gateway, Application Programming Interface (API), Cloud API, Application Lifecycle Management, Proxy Servers, Software Design Documents, Software Documentation, Authentications

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Financial Acumen for Non-Financial Managers

      Skills you'll gain: Financial Reporting, Financial Statements, Income Statement, Financial Analysis, Risk Analysis, Cash Flows, Predictive Analytics, Profit and Loss (P&L) Management, Financial Forecasting, Balance Sheet, Business Metrics, Financial Management, Financial Planning, Key Performance Indicators (KPIs), Business Risk Management, Performance Analysis, Return On Investment

      4.5
      Rating, 4.5 out of 5 stars
      ·
      964 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      TensorFlow 2 for Deep Learning

      Skills you'll gain: Tensorflow, Generative AI, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Time Series Analysis and Forecasting, Jupyter, Dimensionality Reduction

      4.8
      Rating, 4.8 out of 5 stars
      ·
      710 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Austral

      Marketing Digital

      Skills you'll gain: Social Media, Social Media Strategy, Social Media Marketing, Google Ads, Digital Marketing, Customer Relationship Management, Media Buying, Digital Media Strategy, Social Media Campaigns, Marketing Analytics, Campaign Management, LinkedIn, Facebook, Web Analytics, Pay Per Click Advertising, Marketing Strategies, Advertising, Keyword Research, Paid media, Online Advertising

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Desarrollo de aplicaciones móviles con Android

      Skills you'll gain: Android Development, Android Studio, Android (Operating System), Mobile Development, Java, Object Oriented Programming (OOP), Java Programming, Mockups, Mobile Development Tools, Application Development, Software Design Patterns, JSON, User Interface (UI) Design, Prototyping, Application Lifecycle Management, User Interface and User Experience (UI/UX) Design, User Interface (UI), Program Development, Application Programming Interface (API), Restful API

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Cisco Learning and Certifications

      Cybersecurity Operations Fundamentals

      Skills you'll gain: MITRE ATT&CK Framework, Incident Response, Cyber Threat Intelligence, Cyber Threat Hunting, Key Management, Data Security, Threat Modeling, Computer Security Incident Management, File Systems, Endpoint Security, Cryptography, Network Security, Distributed Denial-Of-Service (DDoS) Attacks, Linux, Malware Protection, Vulnerability Assessments, Encryption, Incident Management, Threat Management, Threat Detection

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Build Better Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Data Ethics, Deep Learning, Machine Learning, Image Analysis, Artificial Neural Networks, Performance Testing, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      681 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Data Manipulation at Scale: Systems and Algorithms

      Skills you'll gain: Big Data, Relational Databases, Database Systems, Dataflow, Data Science, Data Manipulation, Data Processing, NoSQL, Apache Spark, Analytics, Distributed Computing, Apache Hadoop, SQL, Data Analysis, Query Languages, Cloud Computing, Scalability, Graph Theory, Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      767 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Solar Energy for Engineers, Architects and Code Inspectors

      Skills you'll gain: Electrical Systems, Building Codes, Construction Inspection, HVAC, Building Design, Basic Electrical Systems, Electrical Safety, Engineering Calculations, Architectural Design, System Requirements, Project Implementation, Energy and Utilities, Architectural Engineering, Land Development, Feasibility Studies, Cost Benefit Analysis, Submittals (Construction), Structural Analysis, Process Analysis, Cost Estimation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    Applied Data Science learners also search

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    1…9899100…834

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

    • Magic in the Middle Ages: Universitat de Barcelona
    • Introduction to HTML, CSS, & JavaScript: IBM
    • Data Management and Visualization: Wesleyan University
    • API Design and Fundamentals of Google Cloud's Apigee API Platform: Google Cloud
    • Financial Acumen for Non-Financial Managers: University of Pennsylvania
    • TensorFlow 2 for Deep Learning: Imperial College London
    • Marketing Digital: Universidad Austral
    • Desarrollo de aplicaciones móviles con Android: Universidad Nacional Autónoma de México
    • Cybersecurity Operations Fundamentals: Cisco Learning and Certifications
    • Build Better Generative Adversarial Networks (GANs): DeepLearning.AI

    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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