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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

    • G

      Georgia Institute of Technology

      Introduction to Engineering Mechanics

      Skills you'll gain: Engineering Analysis, Mechanics, Torque (Physics), Engineering Calculations, Mechanical Engineering, Engineering, Civil Engineering, Structural Analysis, Trigonometry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.1K reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Alteryx Mastery: Data Analytics & Workflow Automation

      Skills you'll gain: Data Import/Export, Alteryx, Data Visualization, Business Analytics, Data Governance, Workflow Management, Operational Efficiency, Data Cleansing, Data Management, Data Manipulation, Data Transformation, Data Analysis, Business Process Automation, Data Integration, Automation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      Macquarie University

      Excel Skills for Statistics and Data Analysis: Intermediate

      Skills you'll gain: Interactive Data Visualization, Pivot Tables And Charts, Statistical Inference, Microsoft Excel, Correlation Analysis, Statistics, Statistical Hypothesis Testing, Probability & Statistics, Statistical Analysis, Regression Analysis, Data Analysis, Sampling (Statistics), Descriptive Statistics, Forecasting

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      The Complete Tableau Bootcamp for Aspiring Data Scientists

      Skills you'll gain: Tableau Software, Dashboard, Data Visualization Software, Interactive Data Visualization, Data Storytelling, Graphing, Data Manipulation, Scatter Plots, Data Analysis, Data Modeling, Data Transformation, Software Installation

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      NLP – Embeddings & Text Preprocessing in Python

      Skills you'll gain: Natural Language Processing, Text Mining, Data Processing, Applied Machine Learning, Data Transformation, Unstructured Data, Feature Engineering, Machine Learning Algorithms, Computer Programming

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Exploratory Data Analysis & Core ML Algorithms

      Skills you'll gain: Exploratory Data Analysis, Data Processing, Predictive Modeling, Classification And Regression Tree (CART), Data Analysis, Machine Learning Algorithms, Regression Analysis, Statistical Modeling, Data Cleansing, Feature Engineering, Supervised Learning, Data Manipulation, Predictive Analytics, Data Visualization

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      Dartmouth College

      Predictive Analytics

      Skills you'll gain: Business Ethics, Predictive Analytics, Scikit Learn (Machine Learning Library), Digital Transformation, Data-Driven Decision-Making, Feature Engineering, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Regression Analysis, Python Programming, Cloud Computing, Data Quality, Performance Metric, Artificial Neural Networks

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Colorado Boulder

      Introduction to Bayesian Statistics for Data Science

      Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Analytical Skills, Probability Distribution

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Fundamentals of Visualization with Tableau

      Skills you'll gain: Data Visualization Software, Data Visualization, Interactive Data Visualization, Dashboard, Tableau Software, Data Presentation, Tree Maps, Data Analysis, Data Import/Export

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Master of Science in Data Science

      Skills you'll gain: Object Oriented Design, User Story, Real-Time Operating Systems, Model Based Systems Engineering, Field-Programmable Gate Array (FPGA), New Product Development, Delegation Skills, Failure Analysis, Sampling (Statistics), Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Statistical Modeling, Unsupervised Learning, Supervised Learning, Goal Setting, Generative AI, Process Capability

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      S

      Simplilearn

      Ethics of Generative AI

      Skills you'll gain: Data Ethics, General Data Protection Regulation (GDPR), Ethical Standards And Conduct, Generative AI, Business Ethics, Information Privacy, Personally Identifiable Information, Regulatory Compliance, Healthcare Ethics, Compliance Management, Artificial Intelligence, Data Security, Regulatory Requirements, Regulatory Affairs, Data-Driven Decision-Making, Accountability, Social Sciences

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Time Series Forecasting with Facebook Prophet in Python

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Predictive Modeling, Data Manipulation, Anomaly Detection, Pandas (Python Package), Exploratory Data Analysis, Data Cleansing

      Intermediate · Course · 1 - 4 Weeks

    Applied Data Science learners also search

    Data Science
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    1…404142…834

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

    • Introduction to Engineering Mechanics: Georgia Institute of Technology
    • Alteryx Mastery: Data Analytics & Workflow Automation: Coursera Instructor Network
    • Excel Skills for Statistics and Data Analysis: Intermediate: Macquarie University
    • The Complete Tableau Bootcamp for Aspiring Data Scientists: Packt
    • NLP – Embeddings & Text Preprocessing in Python: Packt
    • Exploratory Data Analysis & Core ML Algorithms: Packt
    • Predictive Analytics: Dartmouth College
    • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
    • Fundamentals of Visualization with Tableau: University of California, Davis
    • Master of Science in Data Science: 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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