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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: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Skills for a Modern Entrepreneur or Business Owner

      Skills you'll gain: Presentations, Financial Statement Analysis, Business Modeling, Blogs, Professional Development, Public Speaking, Spreadsheet Software, Business Planning, Customer Analysis, Professional Networking, Income Statement, Data Visualization, Personal Development, Excel Formulas, User Research, Financial Accounting, Balance Sheet, Entrepreneurship, Financial Management, Communication

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      C

      Coursera

      YouTube Optimization: Grow Your Presence

      Skills you'll gain: Content Performance Analysis, Search Engine Optimization, Web Analytics, Performance Analysis, Marketing Analytics, Web Analytics and SEO, Content Strategy, Marketing Channel, Key Performance Indicators (KPIs), Data-Driven Decision-Making, Revenue Management

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Authentic Node.js WebSocket Server Workshop

      Skills you'll gain: Node.JS, Web Servers, Full-Stack Web Development, Back-End Web Development, Network Protocols, Debugging, Javascript, Web Applications, Cryptography, TCP/IP, Real Time Data

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Security Governance, Compliance & Risk Management

      Skills you'll gain: Governance Risk Management and Compliance, Security Management, Risk Management, Compliance Management, Risk Appetite, Risk Analysis, Risk Mitigation, Business Risk Management, Cyber Governance, Compliance Auditing, Cyber Security Policies, Penetration Testing, Governance, Data Governance, Security Controls, Vulnerability Assessments, Security Awareness, Vendor Management

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      使用 BigQuery 创建嵌入、向量搜索和 RAG

      Skills you'll gain: Generative AI, Data Pipelines, Big Data, Query Languages, Feature Engineering, Natural Language Processing

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Cisco CyberOps Associate (200-201)

      Skills you'll gain: Cyber Operations, Intrusion Detection and Prevention, Cybersecurity, Cyber Security Assessment, Security Controls, Threat Modeling, Incident Response, Risk Management Framework, Continuous Monitoring, Network Security, Threat Detection, Event Monitoring, Network Analysis, Firewall, Data Integrity

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      H

      Huddersfield Sandbox

      Creating Ethical Media and Journalism

      Skills you'll gain: Journalism, Data Ethics, Media and Communications, Ethical Standards And Conduct, Electronic Media, Research, Content Creation, Interviewing Skills, Media Production, Information Privacy

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 1: Representation

      Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Applied Machine Learning, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Inferential Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, Statistical Methods, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Data Literacy, Sampling (Statistics), Probability Distribution, Software Installation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      BigQuery pour les analystes de données

      Skills you'll gain: Looker (Software), SQL, Big Data, Data Analysis, Analytics, Data Manipulation, Data Transformation, Extract, Transform, Load, Data Warehousing, Data Pipelines, Google Sheets, Statistical Programming, Data Cleansing, Data Visualization Software, Data Import/Export, Google Cloud Platform, Cloud Storage

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      CBAP Certification Business Analysis Training

      Skills you'll gain: Requirements Management, Project Management, Risk Management, Statistical Analysis, Project Planning, Agile Project Management, Microsoft Excel, Solution Design, Cost Management, Project Management Office (PMO), Business Analysis, Excel Formulas, Requirements Elicitation, Stakeholder Management, Scope Management, Pivot Tables And Charts, Team Leadership, Dashboard, Excel Macros, Requirements Analysis

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      Business Analysis Excel Tools and CCBA Training

      Skills you'll gain: Business Analysis, Project Management, Risk Management, Statistical Analysis, Project Planning, Agile Project Management, Microsoft Excel, Cost Management, Project Management Office (PMO), Stakeholder Engagement, Excel Formulas, Scope Management, Pivot Tables And Charts, Team Leadership, Dashboard, Excel Macros, Stakeholder Management, Business Requirements, Requirements Management, Business Process

      Beginner · Specialization · 1 - 3 Months

    Applied Data Science learners also search

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

    • Skills for a Modern Entrepreneur or Business Owner: Packt
    • YouTube Optimization: Grow Your Presence: Coursera
    • Authentic Node.js WebSocket Server Workshop: Packt
    • Security Governance, Compliance & Risk Management: Packt
    • 使用 BigQuery 创建嵌入、向量搜索和 RAG: Google Cloud
    • Cisco CyberOps Associate (200-201): Packt
    • Creating Ethical Media and Journalism: Huddersfield Sandbox
    • Probabilistic Graphical Models 1: Representation: Stanford University
    • Inferential Statistics: Duke University
    • BigQuery pour les analystes de données: Google Cloud

    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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