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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: Free Trial
      Free Trial
      U

      University of Alberta

      Sample-based Learning Methods

      Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Corporate & Commercial Law I: Contracts & Employment Law

      Skills you'll gain: Certified Public Accountant, Labor Law, Commercial Laws, Regulation and Legal Compliance, Bankruptcies, Organizational Structure, Legal Writing, Business, Contract Management, Sales

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 3 Months

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Biochemical Principles of Energy Metabolism

      Skills you'll gain: Biochemistry, Respiration, Pathology, Biology, Life Sciences, Nutrition and Diet, Chronic Diseases, Molecular Biology, Clinical Nutrition, Internal Medicine, Oncology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      814 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Leverage Data Science for a More Agile Supply Chain

      Skills you'll gain: Supply Chain Planning, Demand Planning, Customer Demand Planning, Inventory Management System, Inventory Control, Supply Chain Management, Capacity Planning, Materials Management, Process Optimization, Forecasting, Operations Management, Resource Allocation, Service Level, Capacity Management, Performance Measurement, Microsoft Excel, Data-Driven Decision-Making, Statistical Methods, Cost Reduction, Simulation and Simulation Software

      4.5
      Rating, 4.5 out of 5 stars
      ·
      433 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      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
      ·
      779 reviews

      Intermediate · Specialization · 3 - 6 Months

    • W

      Wesleyan University

      Schizophrenia

      Skills you'll gain: Psychiatry, Clinical Psychology, Mental Health Diseases and Disorders, Pharmacology, Psychotherapy, Psychology, Mental and Behavioral Health, Mental Health, Patient Evaluation, Neurology, Scientific Methods, Magnetic Resonance Imaging, Research Methodologies, Medical Imaging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Big Data Integration and Processing

      Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Big Data, Data Pipelines, Data Processing, Data Management, NoSQL, Analytics, Splunk, Database Systems, MongoDB, Pandas (Python Package), SQL, PostgreSQL

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Data Collection and Processing with Python

      Skills you'll gain: JSON, Data Processing, Web Scraping, Restful API, Data Manipulation, Application Programming Interface (API), Python Programming, Data Transformation, Data Structures, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidade Estadual de Campinas

      Revisão Sistemática e Meta-análise

      Skills you'll gain: Data Synthesis, Data Collection, Scientific Methods, Research, Research Design, Research Reports, Research Methodologies, Quantitative Research, Clinical Research, Peer Review, Data Quality, Report Writing, Epidemiology, Statistical Analysis, Qualitative Research, Risk Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Algorithms for DNA Sequencing

      Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences

      4.7
      Rating, 4.7 out of 5 stars
      ·
      924 reviews

      Mixed · Course · 1 - 4 Weeks

    • B

      Board Infinity

      Data Governance with Databricks

      Skills you'll gain: Data Governance, Databricks, Data Management, Data Architecture, Metadata Management, Information Management, Data Strategy, Data Security, Data Quality

      2.7
      Rating, 2.7 out of 5 stars
      ·
      28 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Introduction to Scrum Master Training

      Skills you'll gain: User Story, Agile Methodology, Sprint Planning, Agile Project Management, Backlogs, Sprint Retrospectives, Waterfall Methodology, Meeting Facilitation, Estimation, Cross-Functional Collaboration

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

      Beginner · Course · 1 - 3 Months

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

    • Sample-based Learning Methods: University of Alberta
    • Corporate & Commercial Law I: Contracts & Employment Law: University of Illinois Urbana-Champaign
    • Biochemical Principles of Energy Metabolism: Korea Advanced Institute of Science and Technology(KAIST)
    • Leverage Data Science for a More Agile Supply Chain: University of California, Irvine
    • Digital Signal Processing: École Polytechnique Fédérale de Lausanne
    • Schizophrenia: Wesleyan University
    • Big Data Integration and Processing: University of California San Diego
    • Data Collection and Processing with Python: University of Michigan
    • Revisão Sistemática e Meta-análise: Universidade Estadual de Campinas
    • Algorithms for DNA Sequencing: 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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