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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 California, Irvine

      Functions, Methods, and Interfaces in Go

      Skills you'll gain: Go (Programming Language), Object Oriented Programming (OOP), Functional Design, Data Structures, Software Design

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      Microsoft

      Python Programming Fundamentals

      Skills you'll gain: Version Control, GitHub, Debugging, Git (Version Control System), Unit Testing, Data Structures, Python Programming, Software Testing, Development Testing, Scripting, Computer Programming, Web Development, Algorithms, Program Development, Scripting Languages, Integrated Development Environments, Object Oriented Programming (OOP)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      157 reviews

      Beginner · Course · 1 - 3 Months

    • E

      Emory University

      Foundations of Marketing Analytics

      Skills you'll gain: Pivot Tables And Charts, Customer Analysis, Probability Distribution, Customer Demand Planning, Marketing Analytics, Forecasting, Descriptive Statistics, Microsoft Excel, Social Media Marketing, Exploratory Data Analysis, Probability, Statistical Analysis, Marketing Effectiveness, Target Market, Social Media, Revenue Forecasting, Time Series Analysis and Forecasting, Predictive Modeling, Statistics, Marketing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      516 reviews

      Intermediate · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      GPU Programming

      Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, C and C++, Scalability, Deep Learning, Software Development, Machine Learning Methods, Performance Tuning, Linear Algebra, Distributed Computing, System Programming, Computer Graphics, Computer Hardware, Computer Vision, Numerical Analysis, Computer Architecture, OS Process Management, Data Structures, Performance Testing

      Build toward a degree

      2.7
      Rating, 2.7 out of 5 stars
      ·
      146 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Toronto

      GIS Data Acquisition and Map Design

      Skills you'll gain: Geographic Information Systems, Geospatial Mapping, Data Mapping, Spatial Data Analysis, Data Visualization, Metadata Management, Quantitative Research, Typography, Data Manipulation, Data Modeling, Design Elements And Principles

      4.9
      Rating, 4.9 out of 5 stars
      ·
      705 reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Generative Deep Learning with TensorFlow

      Skills you'll gain: Generative AI, Tensorflow, Image Analysis, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Computer Graphics, Unsupervised Learning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      305 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Hardware Description Languages for FPGA Design

      Skills you'll gain: Verification And Validation, Systems Design, Computational Logic, Development Testing, Test Case, Hardware Architecture, Simulations, Functional Testing, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      598 reviews

      Intermediate · Course · 1 - 4 Weeks

    • K

      Kennesaw State University

      Cybersecurity and the Internet of Things

      Skills you'll gain: Internet Of Things, Cybersecurity, Cyber Security Policies, Mobile Security, Security Awareness, Wireless Networks, Information Privacy, Data Security, Emerging Technologies, Enterprise Security, Risk Management Framework

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 1: Basic Concepts and Algorithms

      Skills you'll gain: Digital Communications, Electrical and Computer Engineering, Programming Principles, Engineering Analysis, Electronics, Telecommunications, Advanced Mathematics, Algorithms, Linear Algebra, Time Series Analysis and Forecasting, Mathematical Modeling, Computational Logic, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      622 reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      MedCerts

      Human Anatomy and Medical Terminology Fundamentals

      Skills you'll gain: Medical Terminology, Pulmonology, Pathology, Cardiology, Medical Records, Neurology, General Medical Tests and Procedures, Urology, Gynecology, Anatomy, Health Information Management and Medical Records, Respiration, Orthopedics, Vital Signs, Electocardiography, Biology, Laboratory Testing, Medical Billing and Coding, Health Information Management, Physical Therapy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      204 reviews

      Beginner · Specialization · 3 - 6 Months

    • É

      École des Ponts ParisTech

      Mastering bitumen for better roads and innovative applications

      Skills you'll gain: Environmental Engineering, Environment Health And Safety, Civil Engineering, Transportation Operations, Construction, Market Dynamics, Transportation, Supply Chain, and Logistics, Material Handling, Chemical Engineering, Product Testing, Technical Standard, Performance Testing, Manufacturing Processes, Laboratory Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      E

      Edureka

      Applied Data Analytics with Python and SQL

      Skills you'll gain: Web Scraping, SQL, Pandas (Python Package), Database Management, Databases, Microsoft SQL Servers, Data Manipulation, Data Literacy, Data Analysis, NumPy, Data Visualization Software, Data Processing, Data Cleansing, Programming Principles, Python Programming, Scripting, Scripting Languages

      Intermediate · Course · 1 - 4 Weeks

    Applied Data Science learners also search

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

    • Functions, Methods, and Interfaces in Go: University of California, Irvine
    • Python Programming Fundamentals: Microsoft
    • Foundations of Marketing Analytics: Emory University
    • GPU Programming: Johns Hopkins University
    • GIS Data Acquisition and Map Design: University of Toronto
    • Generative Deep Learning with TensorFlow: DeepLearning.AI
    • Hardware Description Languages for FPGA Design: University of Colorado Boulder
    • Cybersecurity and the Internet of Things: Kennesaw State University
    • Digital Signal Processing 1: Basic Concepts and Algorithms: École Polytechnique Fédérale de Lausanne
    • Human Anatomy and Medical Terminology Fundamentals: MedCerts

    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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