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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

    • C

      Coursera Project Network

      Create Your First Automation Script Using Selenium and Java

      Skills you'll gain: Selenium (Software), Test Automation, Eclipse (Software), Software Testing, UI Components, Integrated Development Environments, Web Applications, Java Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      350 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • P

      Peking University

      Bioinformatics: Introduction and Methods 生物信息学: 导论与方法

      Skills you'll gain: Bioinformatics, Markov Model, Molecular Biology, Algorithms, Computational Thinking, Biology, Machine Learning Methods, Statistical Analysis, Data Analysis, Databases

      4.4
      Rating, 4.4 out of 5 stars
      ·
      279 reviews

      Mixed · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Get Started with Presentation Applications: PowerPoint

      Skills you'll gain: Productivity Software, Presentations, Microsoft PowerPoint, Collaborative Software, Sales Presentations, Product Demonstration, Editing, Data Visualization, File Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      149 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Raspberry Pi Projects

      Skills you'll gain: Hardware Design, Electronic Hardware, Schematic Diagrams, Electronics, Computer-Aided Design, Mechanical Design, Remote Access Systems, Linux, Digital Communications, Restful API, Web Applications, Security Controls, Telecommunications, Electronic Components, Data Processing, Technical Design, Hardware Troubleshooting, Data Science, Embedded Software, Data Cleansing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      86 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Minnesota

      Interprofessional Healthcare Informatics

      Skills you'll gain: Health Informatics, Health Technology, Telehealth, Interoperability, Electronic Medical Record, Health Care, Health Information Management, Community Health, Health Systems, Public Health, Data Ethics, Nursing, Information Privacy, Medical Terminology

      4.4
      Rating, 4.4 out of 5 stars
      ·
      313 reviews

      Mixed · Course · 1 - 3 Months

    • S

      SAS

      Statistics with SAS

      Skills you'll gain: SAS (Software), Statistical Hypothesis Testing, Statistical Software, Statistical Analysis, Predictive Modeling, Statistical Modeling, Statistical Methods, Regression Analysis, Probability & Statistics, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      297 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Universidad de los Andes

      Introducción a UML

      Skills you'll gain: Unified Modeling Language, Software Visualization, Software Design, Object Oriented Design, Software Engineering, Requirements Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      137 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Automatic Data Processing, Inc. (ADP)

      Exploring the Field of U.S. Payroll

      Skills you'll gain: Payroll, Payroll Administration, Payroll Tax, Payroll Processing, Payroll Reporting, Non-Profit Accounting, Specialized Accounting, Record Keeping, Accounting, Tax Compliance, Law, Regulation, and Compliance, Organizational Structure, Business

      4.9
      Rating, 4.9 out of 5 stars
      ·
      44 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Interacting with the System and Managing Memory

      Skills you'll gain: Maintainability, Program Development, C (Programming Language), Software Engineering, System Programming, Programming Principles, Software Development, Simulations, Command-Line Interface, Operating Systems, User Interface (UI), Data Structures, Debugging, Data Import/Export, File Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      174 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Bioinformatic Methods II

      Skills you'll gain: Bioinformatics, Molecular Biology, Network Analysis, Data Analysis, Big Data, Data Visualization Software, Scientific Visualization, Structural Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      486 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Project Management in Construction

      Skills you'll gain: Scope Management, Stakeholder Management, Project Schedules, Project Risk Management, Environment Health And Safety, Work Breakdown Structure, Project Scoping, Earned Value Management, Feasibility Studies, Risk Analysis, Quality Management, Procurement, Cost Estimation, Scheduling, Cost Management, Project Management Life Cycle, Contract Management, Communication Strategies, Risk Management, Project Controls

      4.7
      Rating, 4.7 out of 5 stars
      ·
      41 reviews

      Advanced · Specialization · 1 - 3 Months

    • S

      Siemens

      Intro to Siemens NX: Engineering Essentials and Part Design

      Skills you'll gain: 3D Modeling, Computer-Aided Design, Drafting and Engineering Design, Mechanical Design, Simulation and Simulation Software, Engineering Drawings, Prototyping, Manufacturing Processes

      4.4
      Rating, 4.4 out of 5 stars
      ·
      52 reviews

      Beginner · Course · 1 - 4 Weeks

    Applied Data Science learners also search

    Data Science
    R
    Data
    Beginner Data Science
    Data Science Projects
    Data Analytics
    Advanced Data Science
    Data Analysis
    1…212213214…834

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

    • Create Your First Automation Script Using Selenium and Java: Coursera Project Network
    • Bioinformatics: Introduction and Methods 生物信息学: 导论与方法: Peking University
    • Get Started with Presentation Applications: PowerPoint: SkillUp EdTech
    • Raspberry Pi Projects: Johns Hopkins University
    • Interprofessional Healthcare Informatics : University of Minnesota
    • Statistics with SAS: SAS
    • Introducción a UML: Universidad de los Andes
    • Exploring the Field of U.S. Payroll: Automatic Data Processing, Inc. (ADP)
    • Interacting with the System and Managing Memory: Duke University
    • Bioinformatic Methods II: University of Toronto

    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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