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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

    • É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 1: Basic Concepts and Algorithms

      Skills you'll gain: Digital Communications, Electrical and Computer Engineering, Programming Principles, Engineering Analysis, Electronics, Telecommunications, Advanced Mathematics, Algorithms, Linear Algebra, Time Series Analysis and Forecasting, Mathematical Modeling, Computational Logic, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      622 reviews

      Intermediate · Course · 1 - 4 Weeks

    • R

      Rice University

      Engineering Project Management: Scope, Time and Cost Management

      Skills you'll gain: Project Scoping, Cost Management, Scope Management, Project Estimation, Project Schedules, Earned Value Management, Scheduling, Work Breakdown Structure, Requirements Management, Timelines, Change Management, Budget Management, Project Management, Project Documentation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Pennsylvania

      Ancient Philosophy: Aristotle and His Successors

      Skills you'll gain: Ancient History, Liberal Arts, Ethical Standards And Conduct, Research, European History, World History, Anthropology, Political Sciences, Psychology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      736 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Toronto

      GIS Data Acquisition and Map Design

      Skills you'll gain: Geographic Information Systems, Geospatial Mapping, Data Mapping, Spatial Data Analysis, Data Visualization, Metadata Management, Quantitative Research, Typography, Data Manipulation, Data Modeling, Design Elements And Principles

      4.9
      Rating, 4.9 out of 5 stars
      ·
      705 reviews

      Beginner · Course · 1 - 3 Months

    • É

      École des Ponts ParisTech

      Mastering bitumen for better roads and innovative applications

      Skills you'll gain: Environmental Engineering, Environment Health And Safety, Civil Engineering, Transportation Operations, Construction, Market Dynamics, Transportation, Supply Chain, and Logistics, Material Handling, Chemical Engineering, Product Testing, Technical Standard, Performance Testing, Manufacturing Processes, Laboratory Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      Computational Social Science Methods

      Skills you'll gain: Social Sciences, Network Analysis, Data Science, Machine Learning, Computational Thinking, Economics, Policy, and Social Studies, Artificial Intelligence, Data Analysis, Simulations, Big Data, Scientific Methods

      4.7
      Rating, 4.7 out of 5 stars
      ·
      342 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Bioconductor for Genomic Data Science

      Skills you'll gain: Bioinformatics, Data Analysis Software, R Programming, Statistical Programming, Programming Principles, Data Manipulation, Data Structures, Software Installation, Data Import/Export, Package and Software Management

      3.8
      Rating, 3.8 out of 5 stars
      ·
      382 reviews

      Mixed · Course · 1 - 4 Weeks

    • R

      Rice University

      Introduction to Mechanics

      Skills you'll gain: Mechanics, Torque (Physics), Physics, Structural Analysis, Mechanical Engineering, Calculus, Engineering Calculations, Engineering Analysis, Mathematical Modeling, Algebra, Physical Science, Applied Mathematics, Geometry, Trigonometry

      4.6
      Rating, 4.6 out of 5 stars
      ·
      254 reviews

      Intermediate · Specialization · 1 - 3 Months

    • M

      Meta

      Front-End Developer Capstone

      Skills you'll gain: Responsive Web Design, Front-End Web Development, Git (Version Control System), Web Content Accessibility Guidelines, User Interface and User Experience (UI/UX) Design, HTML and CSS, React.js, Code Review, Usability, Usability Testing, Web Applications, Semantic Web, Data Validation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      416 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI: Applying AI Principles with Google Cloud

      Skills you'll gain: Data Ethics, Business Ethics, Accountability, Compliance Training, Ethical Standards And Conduct, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Governance, Decision Making, Corporate Strategy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      552 reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Getting Started with Data Visualization in R

      Skills you'll gain: Rmarkdown, Statistical Visualization, Ggplot2, Data Import/Export, Data Visualization Software, R Programming, Tidyverse (R Package), Data Manipulation, Scatter Plots, Data Wrangling, Histogram, Software Installation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      289 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google

      Google AI Essentials

      Skills you'll gain: Prompt Engineering, Generative AI, Business Workflow Analysis, Workflow Management, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Artificial Intelligence, Process Optimization, ChatGPT, Productivity Software, Workforce Development, Strategic Thinking, Security Awareness, Diversity Awareness, Risk Management Framework, Business Process Automation, Digital Transformation, Innovation, Machine Learning Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      53 reviews

      Beginner · Specialization · 1 - 3 Months

    Applied Data Science learners also search

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

    • Digital Signal Processing 1: Basic Concepts and Algorithms: École Polytechnique Fédérale de Lausanne
    • Engineering Project Management: Scope, Time and Cost Management: Rice University
    • Ancient Philosophy: Aristotle and His Successors: University of Pennsylvania
    • GIS Data Acquisition and Map Design: University of Toronto
    • Mastering bitumen for better roads and innovative applications: École des Ponts ParisTech
    • Computational Social Science Methods: University of California, Davis
    • Bioconductor for Genomic Data Science: Johns Hopkins University
    • Introduction to Mechanics: Rice University
    • Front-End Developer Capstone : Meta
    • Responsible AI: Applying AI Principles with Google Cloud: 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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