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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
      Status: Free Trial
      Free Trial
      D

      Dartmouth College

      Data Analytics for Digital Transformation

      Skills you'll gain: Digital Transformation, Business Ethics, Customer experience improvement, Predictive Analytics, Simulation and Simulation Software, Business Transformation, Scikit Learn (Machine Learning Library), Operations Research, Analytics, Business Technologies, Business Analytics, Data-Driven Decision-Making, Feature Engineering, Business Modeling, Systems Thinking, Complex Problem Solving, Process Optimization, Technology Strategies, Applied Machine Learning, Statistical Machine Learning

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Snowflake

      Snowflake Data Engineering

      Skills you'll gain: Data Pipelines, Database Management, Data Manipulation, Databases, Data Transformation, Extract, Transform, Load, Data Lakes, Data Warehousing, DevOps, Data Integration, SQL, Cloud Applications, CI/CD, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Data Import/Export, Role-Based Access Control (RBAC), Stored Procedure, Command-Line Interface

      4.8
      Rating, 4.8 out of 5 stars
      ·
      183 reviews

      Beginner · Professional Certificate · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Conduct UX Research and Test Early Concepts

      Skills you'll gain: UI/UX Research, Usability Testing, User Experience Design, Usability, Presentations, User Research, User Experience, Design Research, Research Design, User Centered Design, Research Methodologies, Prototyping, Interviewing Skills, Information Privacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Introduction to Genomic Technologies

      Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Programming Principles, Computer Science, Statistical Analysis, Computational Thinking, Big Data, Software Engineering, Algorithms, Biology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.7K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      Simplilearn

      Excel Data Analysis and DAX Essentials Course

      Skills you'll gain: Data Analysis Expressions (DAX), Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Data Processing, Data Presentation, Data Transformation, Data Analysis, Data Visualization, Barcoding, Microsoft PowerPoint, Productivity Software, Data Import/Export

      Beginner · Course · 1 - 4 Weeks

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

      DeepLearning.AI

      Data I/O and Preprocessing with Python and SQL

      Skills you'll gain: Web Scraping, Extract, Transform, Load, Data Validation, Data Processing, Data Ethics, Data Cleansing, SQL, Data Transformation, JSON, Pandas (Python Package), Generative AI, Relational Databases, Data Integrity, Unstructured Data, Application Programming Interface (API)

      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
      C

      Coursera Instructor Network

      Azure Data Engineering: Cosmos DB, SQL & Analytics

      Skills you'll gain: Dashboard, Azure Synapse Analytics, Microsoft Azure, Transact-SQL, Data Storage, Data Architecture, Performance Tuning, Query Languages, SQL, NoSQL, Cloud-Native Computing, Data Processing, Business Intelligence, Analytics, Cloud Computing Architecture, Data Integration, Data Modeling, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Data Management with SQL

      Skills you'll gain: MySQL, SQL, Database Design, Database Management, Query Languages, Databases, Data Manipulation, Relational Databases, Data Analysis, Performance Tuning, Software Installation

      Beginner · Course · 1 - 4 Weeks

    • 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
      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

    Applied Data Science learners also search

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

    • Introduction to Engineering Mechanics: Georgia Institute of Technology
    • Data Analytics for Digital Transformation: Dartmouth College
    • Snowflake Data Engineering: Snowflake
    • Conduct UX Research and Test Early Concepts: Google
    • Introduction to Genomic Technologies: Johns Hopkins University
    • Excel Data Analysis and DAX Essentials Course: Simplilearn
    • Data I/O and Preprocessing with Python and SQL: DeepLearning.AI
    • Excel Skills for Statistics and Data Analysis: Intermediate: Macquarie University
    • Azure Data Engineering: Cosmos DB, SQL & Analytics: Coursera Instructor Network
    • Data Management with SQL: Packt

    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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