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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
      C

      Coursera Instructor Network

      AI for Customer Experience with Chatbots and Analytics

      Skills you'll gain: Customer experience strategy (CX), AI Personalization, Customer Engagement, Predictive Analytics, Personalized Service, ChatGPT, Customer Service, Customer Insights, Loyalty Programs, Self Service Technologies, Data-Driven Decision-Making, Automation, Business Ethics, Artificial Intelligence, Generative AI, Return On Investment

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      エンベディング作成、ベクトル検索、BigQuery での RAG

      Skills you'll gain: Generative AI, Google Cloud Platform, Big Data, Artificial Intelligence, Natural Language Processing, Algorithms

      Advanced · Course · 1 - 4 Weeks

    • 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
      P

      Packt

      CompTIA Server+ (SK0-005)

      Skills you'll gain: Disaster Recovery, Server Administration, Windows Servers, Servers, Network Troubleshooting, Systems Administration, Linux Servers, Virtualization, Hardware Troubleshooting, Virtual Machines, IT Automation, Remote Access Systems, Security Controls, Networking Hardware, Computer Hardware, Data Storage, Data Security

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Acelere a troca de conhecimento com o Agentspace

      Skills you'll gain: Google Workspace, OAuth, Data Access, Productivity Software, Enterprise Application Management, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Application Programming Interface (API), AWS Identity and Access Management (IAM), Information Architecture, Performance Metric, Generative AI, Data Security

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      B

      Board Infinity

      Generative AI in Finance

      Skills you'll gain: Prompt Engineering, Generative AI, Data Ethics, Financial Data, Anomaly Detection, Large Language Modeling, Regulatory Compliance, Artificial Intelligence, Investment Management, Financial Modeling, Machine Learning, FinTech, Investments, Financial Services, Financial Forecasting, Portfolio Management, Credit Risk, Artificial Intelligence and Machine Learning (AI/ML), Compliance Management, Automation

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidade de São Paulo

      Marketing Digital

      Skills you'll gain: Search Engine Marketing, Digital Marketing, Email Marketing, Google Ads, Marketing Strategies, Search Engine Optimization, Google Analytics, Online Advertising, A/B Testing, Pay Per Click Advertising, Advertising Campaigns, Web Analytics, Digital Advertising, Facebook, Campaign Management, Marketing Analytics, Return On Investment, Performance Measurement

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Drug Safety: Pharmacovigilance

      Skills you'll gain: Patient Safety, Clinical Research, Pharmaceuticals, Pharmacology, Safety Assurance, Drug Interaction, Continuous Monitoring, Epidemiology, Risk Analysis, Big Data

      Mixed · Course · 1 - 4 Weeks

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

      Packt

      Networking Fundamentals & Network Access

      Skills you'll gain: Network Administration, Virtual Local Area Network (VLAN), General Networking, TCP/IP, Local Area Networks, Computer Networking, Command-Line Interface, Network Infrastructure, Wireless Networks, Network Security, Network Switches, OSI Models, Network Routing, Network Protocols, System Configuration

      Intermediate · Course · 1 - 4 Weeks

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

      Packt

      Cybersecurity Foundations & Threat Mitigation

      Skills you'll gain: Security Controls, Threat Management, Cybersecurity, Threat Detection, Cyber Threat Intelligence, Zero Trust Network Access, Cyber Attacks, Authentications, Application Security, Cyber Risk, Computer Security, Information Systems Security, Data Security, Encryption, Multi-Factor Authentication, Vulnerability Assessments, Cryptography, Authorization (Computing), Identity and Access Management

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera

      YouTube Analytics: Optimize Performance

      Skills you'll gain: Benchmarking, Search Engine Optimization, Content Performance Analysis, Marketing Analytics, Key Performance Indicators (KPIs), Performance Analysis, Web Analytics and SEO, Performance Measurement, Content Strategy, Trend Analysis, Customer Insights

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Drug Discovery

      Skills you'll gain: Pharmaceuticals, Pharmacology, Clinical Research, Bioinformatics, New Product Development, Medical Science and Research, Regulatory Affairs, Molecular Biology, Market Opportunities, Innovation, Chemistry

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.9K reviews

      Beginner · Course · 1 - 3 Months

    Applied Data Science learners also search

    Data Science
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    Data
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    1…969798…834

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

    • AI for Customer Experience with Chatbots and Analytics: Coursera Instructor Network
    • エンベディング作成、ベクトル検索、BigQuery での RAG: Google Cloud
    • Inferential Statistics: Duke University
    • CompTIA Server+ (SK0-005): Packt
    • Acelere a troca de conhecimento com o Agentspace: Google Cloud
    • Generative AI in Finance: Board Infinity
    • Marketing Digital: Universidade de São Paulo
    • Drug Safety: Pharmacovigilance: Johns Hopkins University
    • Networking Fundamentals & Network Access: Packt
    • Cybersecurity Foundations & Threat Mitigation: Packt

    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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