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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

    • I

      IBM

      Data Science with R - Capstone Project

      Skills you'll gain: Shiny (R Package), Data Presentation, Exploratory Data Analysis, Data Wrangling, Predictive Modeling, Tidyverse (R Package), Data Science, Data Collection, Data Manipulation, Dashboard, Data Analysis, Data Cleansing, Statistical Modeling, R Programming, Regression Analysis, Ggplot2, Data Transformation, Web Scraping, SQL

      4.6
      Rating, 4.6 out of 5 stars
      ·
      91 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      M

      Macquarie University

      Artificial Intelligence (AI) Education for Teachers

      Skills you'll gain: Computational Thinking, Design Thinking, Artificial Intelligence, Creativity, Ethical Standards And Conduct, Machine Learning, Data Quality, Computer Science, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      859 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      Technical University of Denmark (DTU)

      Whole genome sequencing of bacterial genomes - tools and applications

      Skills you'll gain: Bioinformatics, Molecular Biology, Microbiology, Infectious Diseases, Epidemiology, Data Analysis Software, Database Development, Analysis, Data Pipelines, Data Processing, Public Health, Data Quality

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The University of Edinburgh

      AstroTech: The Science and Technology behind Astronomical Discovery

      Skills you'll gain: Physics, Physical Science, Science and Research, Engineering, Scientific, and Technical Instruments, Image Analysis, Laboratory Research, Computer Displays, Technical Communication, Data Storage, Data Analysis Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Introduction to Deep Learning & Neural Networks with Keras

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Image Analysis, Computer Vision, Natural Language Processing, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Manchester

      Introduction to Molecular Spectroscopy

      Skills you'll gain: Laboratory Experience, Biochemistry, Chemistry, Quantitative Research, Vibrations, Engineering, Scientific, and Technical Instruments, Virtual Reality, Physics, Engineering Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Expressway to Data Science: Python Programming

      Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Data Visualization, Programming Principles, Computer Programming, Histogram, Functional Design, Data Import/Export, Package and Software Management, Scripting, Scripting Languages, Data Manipulation, Python Programming, Data Science, Data Structures

      4.7
      Rating, 4.7 out of 5 stars
      ·
      281 reviews

      Beginner · Specialization · 1 - 3 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

    • C

      Corporate Finance Institute

      BI Essentials for Finance Analysts (Power BI Edition)

      Skills you'll gain: Data Analysis Expressions (DAX), Power BI, Snowflake Schema, Data Modeling, SQL, Business Intelligence, Dashboard, Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Data Import/Export, Business Reporting, Databases, Interactive Data Visualization, Data Storytelling, Financial Statements, Data Analysis Software, Data Manipulation, Data Analysis, Relational Databases

      4.8
      Rating, 4.8 out of 5 stars
      ·
      173 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Digital Media and Marketing Strategies

      Skills you'll gain: Digital Media Strategy, Online Advertising, Digital Marketing, Content Marketing, Marketing Strategies, Social Media Marketing, Marketing Effectiveness, Social Media, Shared Media, Paid media, Integrated Marketing Communications, Risk Management, Search Engine Optimization, Customer Relationship Management, Owned Media, Key Performance Indicators (KPIs)

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Splunk Inc.

      Splunk Search Expert

      Skills you'll gain: Splunk, Correlation Analysis, Data Transformation, Data Manipulation, Data Visualization Software, Data Wrangling, Performance Tuning, Statistical Methods, Dashboard, Data Analysis Expressions (DAX), Statistical Analysis, Data Processing, Security Information and Event Management (SIEM), Data Analysis, Data Synthesis, Data Modeling, Ad Hoc Reporting, Time Series Analysis and Forecasting, Exploratory Data Analysis, Transaction Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      259 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      University of Minnesota

      Preventing Chronic Pain: A Human Systems Approach

      Skills you'll gain: Preventative Care, Chronic Diseases, Health Care, Stress Management, Personal Care, Behavioral Health, Personal Development, Care Management, Health Systems, Patient Education and Support, Resilience, Mindfulness, Systems Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      424 reviews

      Beginner · Course · 1 - 3 Months

    Applied Data Science learners also search

    Data Science
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    Data
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    1…979899…834

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

    • Data Science with R - Capstone Project: IBM
    • Artificial Intelligence (AI) Education for Teachers: Macquarie University
    • Whole genome sequencing of bacterial genomes - tools and applications: Technical University of Denmark (DTU)
    • AstroTech: The Science and Technology behind Astronomical Discovery: The University of Edinburgh
    • Introduction to Deep Learning & Neural Networks with Keras: IBM
    • Introduction to Molecular Spectroscopy: University of Manchester
    • Expressway to Data Science: Python Programming: University of Colorado Boulder
    • GIS Data Acquisition and Map Design: University of Toronto
    • BI Essentials for Finance Analysts (Power BI Edition): Corporate Finance Institute
    • Digital Media and Marketing Strategies: University of Illinois Urbana-Champaign

    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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