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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
      E

      EDHEC Business School

      Advanced Portfolio Construction and Analysis with Python

      Skills you'll gain: Portfolio Management, Investment Management, Financial Modeling, Return On Investment, Asset Management, Financial Market, Estimation, Statistical Methods, Python Programming, Regression Analysis, Risk Analysis, Risk Management, Time Series Analysis and Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      507 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California, Santa Cruz

      The History of Medicine: Philosophy, Science, and Psychology

      Skills you'll gain: Healthcare Ethics, Pharmacology, General Medicine, Medical Science and Research, Mental and Behavioral Health Specialties, Medical History Documentation, Ancient History, World History, Cultural Responsiveness, Public Health

      4.7
      Rating, 4.7 out of 5 stars
      ·
      79 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Logistic Regression in R for Public Health

      Skills you'll gain: Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, R Programming, Statistical Modeling, Predictive Modeling, Statistical Analysis, Biostatistics, Feature Engineering, Statistical Inference, Data Analysis Software, Public Health

      4.8
      Rating, 4.8 out of 5 stars
      ·
      365 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Genome Assembly Programming Challenge

      Skills you'll gain: Bioinformatics, Graph Theory, Epidemiology, Infectious Diseases, Network Analysis, Program Development, Molecular Biology, Computational Thinking, Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      346 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      iOS App Development Basics

      Skills you'll gain: Model View Controller, Apple iOS, Apple Xcode, Swift Programming, User Interface (UI), User Interface (UI) Design, Mobile Development, UI Components, Application Frameworks

      4.2
      Rating, 4.2 out of 5 stars
      ·
      552 reviews

      Mixed · Course · 1 - 3 Months

    • A

      Alfaisal University | KLD

      أساسيات الذكاء الاصطناعي والبيانات الضخمة | AI

      Skills you'll gain: Computer Vision, Natural Language Processing, Machine Learning, Big Data, Artificial Intelligence, Supervised Learning, Reinforcement Learning, Data Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      207 reviews

      Beginner · Course · 1 - 3 Months

    • M

      Moderna

      mRNAs as Medicines

      Skills you'll gain: Molecular Biology, Pharmacology, Biochemistry, Precision Medicine, Pharmaceuticals, Emerging Technologies, Medical Science and Research, Infectious Diseases, Oncology, Public Health and Disease Prevention

      4.7
      Rating, 4.7 out of 5 stars
      ·
      65 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      ChatGPT for Beginners: Using AI for Market Research

      Skills you'll gain: ChatGPT, Market Research, Market Analysis, Marketing, Prompt Engineering, Language Interpretation, Translation, and Studies, Generative AI, Marketing Collateral, Content Marketing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      74 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Leading Sustainable Community Transformation

      Skills you'll gain: Surveys, Needs Assessment, Systems Thinking, Interviewing Skills, Stakeholder Engagement, Community Development, Rapport Building, Organizational Change, Resilience, Data Collection, Focus Group, Change Management, Cultural Sensitivity, Systems Analysis, Asset Management, Complex Problem Solving, Stakeholder Communications, Diversity Awareness, Consultative Approaches, Qualitative Research

      4.4
      Rating, 4.4 out of 5 stars
      ·
      233 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 2: Filtering

      Skills you'll gain: Digital Communications, Electrical Engineering, Electrical and Computer Engineering, Telecommunications, Electronic Systems, Engineering Analysis, Computer Engineering, Engineering Calculations, Numerical Analysis, Linear Algebra, Mathematical Modeling, Applied Mathematics, Algorithms, Data Mapping, Real Time Data

      4.7
      Rating, 4.7 out of 5 stars
      ·
      191 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Digital Marketing Capstone

      Skills you'll gain: Keyword Research, Email Marketing, Digital Marketing, Marketing Analytics, Online Advertising, Performance Analysis, Consumer Behaviour, Marketing Strategies, Key Performance Indicators (KPIs), Web Analytics and SEO, Search Engine Optimization, Web Content, Customer Analysis, Advertising Campaigns

      4.5
      Rating, 4.5 out of 5 stars
      ·
      600 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Business Priorities and Data Ingestion

      Skills you'll gain: Design Thinking, Data Science, Artificial Intelligence, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Quality, Business Priorities, NumPy, IBM Cloud, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      164 reviews

      Intermediate · Course · 1 - 4 Weeks

    Applied Data Science learners also search

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    1…198199200…834

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

    • Advanced Portfolio Construction and Analysis with Python: EDHEC Business School
    • The History of Medicine: Philosophy, Science, and Psychology: University of California, Santa Cruz
    • Logistic Regression in R for Public Health: Imperial College London
    • Genome Assembly Programming Challenge: University of California San Diego
    • iOS App Development Basics: University of Toronto
    • أساسيات الذكاء الاصطناعي والبيانات الضخمة | AI: Alfaisal University | KLD
    • mRNAs as Medicines: Moderna
    • ChatGPT for Beginners: Using AI for Market Research: Coursera Project Network
    • Leading Sustainable Community Transformation: University of Colorado Boulder
    • Digital Signal Processing 2: Filtering: École Polytechnique Fédérale de Lausanne

    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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