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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

    • I

      IBM

      IBM Back-End Development

      Skills you'll gain: Istio, Open Web Application Security Project (OWASP), Software Development Life Cycle, Software Architecture, Linux Commands, Unit Testing, Application Deployment, NoSQL, Kubernetes, Bash (Scripting Language), MongoDB, Shell Script, Django (Web Framework), Object-Relational Mapping, OpenShift, Git (Version Control System), Cloud Applications, Containerization, Jupyter, Grafana

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: AI skills
      AI skills
      M

      Meta

      Meta Marketing Analytics

      Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Marketing Analytics, Bayesian Statistics, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, Target Audience, Marketing Strategies, Data Cleansing, Pandas (Python Package), Data Modeling, Data Analysis, Data Visualization Software, Spreadsheet Software, A/B Testing, Data Collection, Marketing, Interviewing Skills

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.8K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free
      Free
      N

      Nanyang Technological University, Singapore

      Introduction to Forensic Science

      Skills you'll gain: Criminal Investigation and Forensics, Scientific Methods, Chemistry, Investigation, Biochemistry, Pharmacology, Laboratory Testing, Pathology, Microbiology

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.6K reviews

      Mixed · Course · 1 - 3 Months

    • V

      Vanderbilt University

      Prompt Engineering

      Skills you'll gain: Prompt Engineering, ChatGPT, Ideation, Verification And Validation, Data Validation, Data Presentation, Productivity, Document Management, Generative AI, Artificial Intelligence, Large Language Modeling, Risk Management Framework, Microsoft Excel, Creative Thinking, Ingenuity, Brainstorming, Problem Solving, Data Ethics, Data Analysis, Information Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.5K reviews

      Beginner · Specialization · 1 - 3 Months

    • I

      IBM

      Applied Software Engineering Fundamentals

      Skills you'll gain: Software Development Life Cycle, Software Architecture, Linux Commands, Unit Testing, Bash (Scripting Language), Shell Script, Git (Version Control System), GitHub, Software Design, Version Control, File Management, Jupyter, Scrum (Software Development), Application Deployment, Collaborative Software, Automation, Flask (Web Framework), Web Scraping, Python Programming, Application Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      47K reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Data Science in Real Life

      Skills you'll gain: Data Quality, Data Management, Technical Communication, Data Analysis, Data-Driven Decision-Making, Statistical Analysis, Data Science, Statistical Machine Learning, Statistical Inference, A/B Testing, Statistical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • T

      Tableau Learning Partner

      Tableau Business Intelligence Analyst

      Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Requirements Elicitation, Ad Hoc Reporting, Data Governance, Data Ethics, Tableau Software, Business Analysis, Data Literacy, Data Visualization Software, Data Warehousing, Business Metrics, Dashboard, Statistical Visualization, Extract, Transform, Load, Data Analysis, Spatial Data Analysis, Data Quality, Data Presentation, Interactive Data Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      951 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • D

      DeepLearning.AI

      Natural Language Processing

      Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Machine Learning Methods, Data Processing, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Algorithms, Keras (Neural Network Library), Linear Algebra, Data Cleansing, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Amsterdam

      Classical Sociological Theory

      Skills you'll gain: Sociology, Social Studies, Social Sciences, Socioeconomics, Culture, Political Sciences, Economics, Qualitative Research, Research Methodologies

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Data Mining Methods

      Skills you'll gain: Data Mining, Anomaly Detection, Unsupervised Learning, Supervised Learning, Big Data, Unstructured Data, Data Science, Machine Learning Algorithms, Exploratory Data Analysis, Classification And Regression Tree (CART), Data Analysis, Analysis, Statistical Analysis, Machine Learning, Algorithms, Time Series Analysis and Forecasting, Bayesian Statistics, Artificial Neural Networks

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      57 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      Y

      Yale University

      Introduction to Psychology

      Skills you'll gain: Psychology, Mental and Behavioral Health Specialties, Child Development, Mental Health, Human Learning, Social Sciences, Behavioral Health, Neurology, Biology, Scientific Methods

      4.9
      Rating, 4.9 out of 5 stars
      ·
      31K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of California, Davis

      Materials Science: 10 Things Every Engineer Should Know

      Skills you'll gain: Semiconductors, Engineering, Mechanical Engineering, Failure Analysis, Manufacturing Processes, Structural Analysis, Engineering Analysis, Chemistry, Thermal Management, Electronics Engineering, Physical Science, Electronics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.5K reviews

      Mixed · Course · 1 - 3 Months

    Applied Data Science learners also search

    Data Science
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    Data
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    1…151617…834

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

    • IBM Back-End Development: IBM
    • Meta Marketing Analytics: Meta
    • Introduction to Forensic Science: Nanyang Technological University, Singapore
    • Prompt Engineering: Vanderbilt University
    • Applied Software Engineering Fundamentals: IBM
    • Data Science in Real Life: Johns Hopkins University
    • Tableau Business Intelligence Analyst: Tableau Learning Partner
    • Natural Language Processing: DeepLearning.AI
    • Classical Sociological Theory : University of Amsterdam
    • Data Mining Methods: University of Colorado Boulder

    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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