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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

      University of London

      Machine Learning for All

      Skills you'll gain: Feature Engineering, Machine Learning, Data Processing, Artificial Intelligence, Supervised Learning, Data Analysis, Computer Vision, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Stanford University

      Divide and Conquer, Sorting and Searching, and Randomized Algorithms

      Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • E

      Emory University

      The Addicted Brain

      Skills you'll gain: Pharmacology, Mental and Behavioral Health, Human Learning, Neurology, Behavioral Health, Socioeconomics, Vulnerability, Health Policy, Laboratory Research, Public Health

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.2K reviews

      Beginner · Course · 1 - 3 Months

    • K

      Kennesaw State University

      Six Sigma Green Belt

      Skills you'll gain: Statistical Process Controls, Statistical Hypothesis Testing, Process Capability, Team Management, Quality Improvement, Root Cause Analysis, Six Sigma Methodology, Lean Six Sigma, Lean Methodologies, Exploratory Data Analysis, Process Improvement, Quality Control, Probability & Statistics, Operational Excellence, Statistical Analysis, Process Analysis, Process Mapping, Correlation Analysis, Business Process Management, Data Analysis

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

      Intermediate · Specialization · 3 - 6 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing

      Skills you'll gain: Digital Communications, Image Analysis, Telecommunications, Electrical Engineering, Electrical and Computer Engineering, Embedded Systems, Electronic Systems, Electronics Engineering, Computer Engineering, Engineering Calculations, Electronics, Programming Principles, Engineering Analysis, Numerical Analysis, Advanced Mathematics, Algorithms, Linear Algebra, Mathematical Modeling, Calculus, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      778 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Essential Linear Algebra for Data Science

      Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Data Analysis, Statistical Methods, Algebra

      4.4
      Rating, 4.4 out of 5 stars
      ·
      171 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado System

      Computer Communications

      Skills you'll gain: TCP/IP, Local Area Networks, Routing Protocols, Network Routing, Digital Communications, OSI Models, Network Protocols, Dynamic Host Configuration Protocol (DHCP), Network Security, Network Planning And Design, Network Architecture, Network Performance Management, Computer Networking, Network Model, Network Infrastructure, Wireless Networks, Telecommunications, Software-Defined Networking, Algorithms, System Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.3K reviews

      Intermediate · Specialization · 3 - 6 Months

    • N

      Northwestern University

      Social Media Marketing

      Skills you'll gain: Marketing Budgets, Blogs, Social Media Marketing, Integrated Marketing Communications, Peer Review, Key Performance Indicators (KPIs), Social Media Strategy, Business Marketing, Real Time Data, Marketing Effectiveness, Content Marketing, Strategic Marketing, Marketing Strategies, Marketing, Target Audience, Social Media, Social Media Campaigns, Budgeting, Digital Transformation, Big Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      D

      Duke University

      Introduction to Genetics and Evolution

      Skills you'll gain: Life Sciences, Molecular Biology, Biology, Biostatistics, Bioinformatics, Environment, Laboratory Research, Taxonomy, Scientific Methods, Experimentation, Mathematical Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Mixed · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Design and Interpretation of Clinical Trials

      Skills you'll gain: Clinical Trials, Scientific Methods, Medical Science and Research, Biostatistics, Data Collection, Ethical Standards And Conduct, Regulatory Compliance, Sample Size Determination, Statistical Methods, Statistical Analysis, Statistical Hypothesis Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.3K reviews

      Mixed · Course · 1 - 3 Months

    • D

      Duke University

      Introduction to Logic and Critical Thinking

      Skills you'll gain: Deductive Reasoning, Logical Reasoning, Computational Logic, Probability, Sampling (Statistics), Persuasive Communication, Research, Writing, Statistics, Scientific Methods, Oral Expression, Correlation Analysis, Interpersonal Communications, Interactive Learning, Learning Strategies, Instructional Strategies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Managerial Economics and Business Analysis

      Skills you'll gain: Descriptive Statistics, Supply And Demand, Market Dynamics, Sampling (Statistics), Statistical Inference, Business Analytics, Financial Systems, Financial Policy, Banking, Probability Distribution, Analytics, Statistical Analysis, Statistical Hypothesis Testing, Statistics, Regression Analysis, Microsoft Excel, Economics, Financial Market, Business Economics, Risk Management

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.1K reviews

      Beginner · Specialization · 3 - 6 Months

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

    • Machine Learning for All: University of London
    • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
    • The Addicted Brain: Emory University
    • Six Sigma Green Belt: Kennesaw State University
    • Digital Signal Processing: École Polytechnique Fédérale de Lausanne
    • Essential Linear Algebra for Data Science: University of Colorado Boulder
    • Computer Communications: University of Colorado System
    • Social Media Marketing: Northwestern University
    • Introduction to Genetics and Evolution: Duke University
    • Design and Interpretation of Clinical Trials: Johns Hopkins University

    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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