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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 Cape Town

      Introduction to Small Molecule Drug Discovery & Development

      Skills you'll gain: Pharmacology, Clinical Trials, Clinical Research, Pharmaceuticals, Infectious Diseases, New Product Development, Medical Science and Research, Chemistry, Patient Treatment, Regulatory Compliance, Biology, Emerging Technologies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      87 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Mind and Machine

      Skills you'll gain: Problem Solving, Computational Thinking, Computer Vision, Game Theory, Image Analysis, Artificial Neural Networks, Probability Distribution, Behavioral Economics, Logical Reasoning, Algorithms, Human Development, Analytical Skills, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Artificial Intelligence, Psychology, Test Case, Human Factors, Theoretical Computer Science, Human Machine Interfaces

      4.4
      Rating, 4.4 out of 5 stars
      ·
      360 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Genomics for Law

      Skills you'll gain: Intellectual Property, Medical Science and Research, Criminal Investigation and Forensics, Medical Privacy, Law, Regulation, and Compliance, Legal Research, Legal Proceedings, Regulation and Legal Compliance, Case Law, Ethical Standards And Conduct, Lawsuits

      4.8
      Rating, 4.8 out of 5 stars
      ·
      159 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Advanced SAS Programming Techniques

      Skills you'll gain: SAS (Software), Perl (Programming Language), Data Processing, Statistical Programming, Stored Procedure, Data Manipulation, Data Transformation, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      94 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad de los Andes

      Analítica de Datos en Finanzas​

      Skills you'll gain: Technical Analysis, Portfolio Management, Investments, Financial Forecasting, Financial Trading, Financial Analysis, Financial Market, Financial Modeling, Analytics, Capital Markets, Time Series Analysis and Forecasting, Statistical Analysis, Market Trend, Securities Trading, Applied Machine Learning, Predictive Modeling, Equities, Risk Management, Performance Analysis, Risk Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      181 reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of Virginia

      Digital Business Strategy

      Skills you'll gain: Intellectual Property, Digital Transformation, Business Modeling, Business Strategy, Technology Strategies, Innovation, Data-Driven Decision-Making, Value Propositions, Market Dynamics, Competitive Analysis, Computing Platforms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      103 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Emerging Trends & Technologies in the Virtual K-12 Classroom

      Skills you'll gain: Education Software and Technology, Learning Management Systems, Collaborative Software, Augmented Reality, Game Design, Virtual Environment, Emerging Technologies, Technology Strategies, Information Privacy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      664 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      DevOps Capstone Project

      Skills you'll gain: DevOps, Continuous Integration, CI/CD, OpenShift, Kubernetes, User Story, Application Deployment, Test Driven Development (TDD), Code Review, Microservices, Containerization, Agile Methodology, Kanban Principles, Flask (Web Framework), Application Security, GitHub, Restful API

      4.8
      Rating, 4.8 out of 5 stars
      ·
      143 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      F

      Fractal Analytics

      Mastering User Centric Design with Generative AI

      Skills you'll gain: User Research, Human Centered Design, Ideation, User Experience Design, Design Thinking, Generative AI, Prototyping, Brainstorming, Data Ethics, Data Synthesis, ChatGPT, User Experience, Artificial Intelligence, User Centered Design, Innovation, Usability Testing, Prompt Engineering, Interactive Learning, AI Personalization, Information Privacy

      4.4
      Rating, 4.4 out of 5 stars
      ·
      87 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Modern Regression Analysis in R

      Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Statistical Hypothesis Testing, Data Science, R Programming, Data Modeling, Statistical Analysis, Predictive Modeling, Probability & Statistics, Correlation Analysis, Forecasting, Linear Algebra

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Excel for Beginners: Beginner Functions

      Skills you'll gain: Spreadsheet Software, Data Analysis Software, Data Import/Export

      4.5
      Rating, 4.5 out of 5 stars
      ·
      64 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Probabilistic Deep Learning with TensorFlow 2

      Skills you'll gain: Generative AI, Tensorflow, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction

      4.7
      Rating, 4.7 out of 5 stars
      ·
      109 reviews

      Advanced · Course · 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

    • Introduction to Small Molecule Drug Discovery & Development: University of Cape Town
    • Mind and Machine: University of Colorado Boulder
    • Genomics for Law: University of Illinois Urbana-Champaign
    • Advanced SAS Programming Techniques: SAS
    • Analítica de Datos en Finanzas​: Universidad de los Andes
    • Digital Business Strategy: University of Virginia
    • Emerging Trends & Technologies in the Virtual K-12 Classroom: University of California, Irvine
    • DevOps Capstone Project: IBM
    • Mastering User Centric Design with Generative AI: Fractal Analytics
    • Modern Regression Analysis in R: 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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