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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 Trial
      Free Trial
      Status: New AI skills
      New AI skills
      G

      Google

      Google Digital Marketing & E-commerce

      Skills you'll gain: Media Planning, Search Engine Marketing, Email Marketing, Data Storytelling, Social Media Strategy, Search Engine Optimization, Social Media Marketing, Content Creation, Order Fulfillment, Google Ads, Professional Networking, Online Advertising, A/B Testing, Social Media Campaigns, E-Commerce, Customer Retention, Customer experience strategy (CX), Customer Relationship Management, Campaign Management, Interviewing Skills

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      39K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Exploratory Data Analysis for Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Cleansing, Data Access, Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Data Science, Probability & Statistics, Jupyter, Machine Learning, Data Manipulation, Pandas (Python Package), Statistical Analysis, Data Transformation, Artificial Intelligence

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

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Using Python to Access Web Data

      Skills you'll gain: Web Scraping, JSON, Network Protocols, Web Services, Restful API, Application Programming Interface (API), Extensible Markup Language (XML), Data Import/Export, Data Access, TCP/IP, Python Programming, Hypertext Markup Language (HTML), Data Capture, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      44K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Data Analysis with R

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, Statistical Reporting, Probability Distribution, Statistical Methods, Data Analysis Software, R Programming, Bayesian Statistics, Statistical Analysis, Data Analysis, Statistical Software, Statistical Modeling, Probability & Statistics, Probability, Statistics, Correlation Analysis, Data Literacy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      The Path to Insights: Data Models and Pipelines

      Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Data Warehousing, Performance Tuning, Data Pipelines, Data Integrity, Business Intelligence, Business Process, Data Mart, Data Validation, Statistical Reporting, Data Quality, SQL

      4.7
      Rating, 4.7 out of 5 stars
      ·
      640 reviews

      Advanced · Course · 1 - 4 Weeks

    • N

      Nanyang Technological University, Singapore

      Introduction to Forensic Science

      Skills you'll gain: Criminal Investigation and Forensics, Scientific Methods, Chemistry, Investigation, Biochemistry, Pharmacology, Laboratory Testing, Pathology, Microbiology

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.6K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Exploratory Data Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Visualization, Plot (Graphics), Ggplot2, Dimensionality Reduction, Data Visualization Software, R Programming, Scatter Plots, Graphing, Box Plots, Data Analysis, Histogram, Statistical Analysis, Unsupervised Learning, Color Theory

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Excel Fundamentals for Data Analysis

      Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Manipulation, Spreadsheet Software, Data Transformation, Data Validation, Data Analysis, Pivot Tables And Charts, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.1K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Amsterdam

      Classical Sociological Theory

      Skills you'll gain: Sociology, Social Studies, Social Sciences, Socioeconomics, Culture, Political Sciences, Economics, Qualitative Research, Research Methodologies

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3K reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Data Science Coding Challenge: Loan Default Prediction

      Skills you'll gain: Applied Machine Learning, Jupyter, Data Processing, Predictive Modeling, Machine Learning, Predictive Analytics, Data Manipulation, Data Science, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      90 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Neural Networks and Deep Learning

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Computer Vision, Machine Learning, Python Programming, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      123K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Key Technologies for Business

      Skills you'll gain: Cloud Computing Architecture, Cloud Services, Large Language Modeling, Artificial Intelligence, Cloud Security, Data Literacy, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Hosting, Cloud Engineering, Cloud Solutions, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Big Data, ChatGPT, Cloud Computing, Data Analysis, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      100K reviews

      Beginner · Specialization · 3 - 6 Months

    Applied Data Science learners also search

    Data Science
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    Data
    Beginner Data Science
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    1…111213…834

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

    • Google Digital Marketing & E-commerce: Google
    • Exploratory Data Analysis for Machine Learning: IBM
    • Using Python to Access Web Data: University of Michigan
    • Data Analysis with R: Duke University
    • The Path to Insights: Data Models and Pipelines: Google
    • Introduction to Forensic Science: Nanyang Technological University, Singapore
    • Exploratory Data Analysis: Johns Hopkins University
    • Excel Fundamentals for Data Analysis: Macquarie University
    • Classical Sociological Theory : University of Amsterdam
    • Data Science Coding Challenge: Loan Default Prediction: Coursera Project Network

    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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