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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
      Free
      J

      Johns Hopkins University

      Chemicals and Health

      Skills you'll gain: Environmental Regulations, Chemistry, Laboratory Testing, Public Health, Environmental Monitoring, Environmental Science, Health Assessment, Public Health and Disease Prevention, Epidemiology, Environmental Policy, Biology, Risk Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Virginia

      Managerial Accounting Fundamentals

      Skills you'll gain: Management Accounting, Cost Accounting, Accounting, Cost Benefit Analysis, Cost Management, Financial Accounting, Financial Data, Financial Analysis, Decision Making, Data Visualization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      809 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      SkillUp EdTech

      Data Privacy, Security, Governance, Risk and Compliance

      Skills you'll gain: Data Security, Data Governance, Data Architecture, Data Quality, Personally Identifiable Information, Incident Response, Security Controls, Security Strategy, Threat Management, Threat Detection, Risk Management, Compliance Management, Encryption, Data Integrity, Risk Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Florida

      Sustainable Agricultural Land Management

      Skills you'll gain: Water Resources, Land Management, Environment and Resource Management, Environmental Regulations, Natural Resource Management, Environmental Issue, Environment, Environmental Science, Policty Analysis, Research, and Development, Research

      4.8
      Rating, 4.8 out of 5 stars
      ·
      616 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Codio

      Data Science and Analysis Tools - from Jupyter to R Markdown

      Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Dashboard, Tidyverse (R Package), Data Analysis, Interactive Data Visualization, Data Import/Export, Data Visualization

      3.9
      Rating, 3.9 out of 5 stars
      ·
      22 reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      The R Programming Environment

      Skills you'll gain: Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Transformation, Data Cleansing, Data Science, Big Data, Text Mining, Data Import/Export, Programming Principles, Data Structures, Performance Tuning, Debugging, Application Programming Interface (API)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google

      The Nuts and Bolts of Machine Learning

      Skills you'll gain: Feature Engineering, Applied Machine Learning, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Unsupervised Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Data Analysis, Performance Tuning, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      507 reviews

      Advanced · Course · 1 - 3 Months

    • I

      Interactive Brokers

      Practical Guide to Trading

      Skills you'll gain: Derivatives, Equities, Futures Exchange, Risk Analysis, Financial Trading, International Finance, Investments, Securities Trading, Financial Market, Risk Management, Financial Statement Analysis, Financial Analysis, Market Analysis, Analysis, Capital Markets, Tax, Balance Sheet, Financial Regulations, Market Data, Technical Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      751 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of London

      Finding Your Professional Voice: Confidence & Impact

      Skills you'll gain: Public Speaking, Verbal Communication Skills, Assertiveness, Self-Awareness, Communication Strategies, Communication, Interpersonal Communications, Personal Attributes, Executive Presence, Emotional Intelligence, Composure, Respiration, Anatomy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • R

      Rutgers the State University of New Jersey

      Supply Chain Planning

      Skills you'll gain: Demand Planning, Forecasting, Customer Demand Planning, Supply Chain Planning, Sales Management, Time Series Analysis and Forecasting, Supply Chain Management, Production Planning, Trend Analysis, Decision Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Introduction to Agile Development and Scrum

      Skills you'll gain: Agile Software Development, Agile Methodology, Kanban Principles, Agile Project Management, User Story, Sprint Retrospectives, Sprint Planning, Workflow Management, Performance Metric, Team Oriented, Backlogs, Performance Measurement, Lean Methodologies, Continuous Improvement Process, Prioritization, Estimation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      Visual Analytics with Tableau

      Skills you'll gain: Data Mapping, Data Visualization Software, Tableau Software, Graphing, Histogram, Scatter Plots, Tree Maps, Data Visualization, Statistical Visualization, Interactive Data Visualization, Data Presentation, Geospatial Mapping, Heat Maps, Pivot Tables And Charts, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 4 Weeks

    Applied Data Science learners also search

    Data Science
    R
    Data
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    Advanced Data Science
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    1…787980…834

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

    • Chemicals and Health: Johns Hopkins University
    • Managerial Accounting Fundamentals: University of Virginia
    • Data Privacy, Security, Governance, Risk and Compliance: SkillUp EdTech
    • Sustainable Agricultural Land Management: University of Florida
    • Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
    • The R Programming Environment: Johns Hopkins University
    • The Nuts and Bolts of Machine Learning: Google
    • Practical Guide to Trading: Interactive Brokers
    • Finding Your Professional Voice: Confidence & Impact: University of London
    • Supply Chain Planning: Rutgers the State University of New Jersey

    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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