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    • Applied Data Science

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    518 results for "applied data science"

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      University of Michigan

      Applied Data Science with Python

      Skills you'll gain: Python Programming, Machine Learning, Data Analysis, Data Mining, Data Science, Machine Learning Algorithms, Computer Science, Statistical Programming, Applied Machine Learning, Graph Theory, Mathematics, General Statistics, Basic Descriptive Statistics, Statistical Machine Learning, Data Structures, Natural Language Processing, Regression, Dimensionality Reduction, Exploratory Data Analysis, Feature Engineering, Statistical Analysis, Statistical Tests, Correlation And Dependence, Estimation, Linear Algebra, Computer Programming, Data Architecture, Probability & Statistics, Statistical Visualization, Algorithms, Artificial Neural Networks, Computational Logic, Computer Graphics, Data Visualization, Econometrics, Machine Learning Software, Mathematical Theory & Analysis, Network Analysis, Plot (Graphics), Programming Principles, Theoretical Computer Science

      4.5

      (33.1k reviews)

      Intermediate · Specialization · 3-6 Months

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      IBM Skills Network

      Applied Data Science

      Skills you'll gain: Python Programming, Data Analysis, Data Science, Statistical Programming, Data Structures, Data Visualization, Basic Descriptive Statistics, Programming Principles, Exploratory Data Analysis, Computer Programming, Statistical Visualization, Algebra, Machine Learning, Applied Machine Learning, Data Mining, General Statistics, Regression, Statistical Analysis, Statistical Tests, Data Management, Extract, Transform, Load, Plot (Graphics), Interactive Data Visualization, Machine Learning Algorithms, SQL, Geovisualization, Algorithms, Business Analysis, Computational Logic, Computer Programming Tools, Correlation And Dependence, Data Analysis Software, Databases, Econometrics, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Spreadsheet Software, Statistical Machine Learning, Theoretical Computer Science

      4.6

      (44.1k reviews)

      Beginner · Specialization · 3-6 Months

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      Johns Hopkins University

      Data Science

      Skills you'll gain: R Programming, Data Analysis, Statistical Programming, Data Science, General Statistics, Statistical Analysis, Probability & Statistics, Statistical Tests, Machine Learning, Exploratory Data Analysis, Basic Descriptive Statistics, Machine Learning Software, Linear Algebra, Bayesian Statistics, Correlation And Dependence, Econometrics, Estimation, Regression, Data Visualization Software, Software Visualization, Statistical Visualization, Probability Distribution, Theoretical Computer Science, Data Visualization, Interactive Data Visualization, Natural Language Processing, Plot (Graphics), Big Data, Computer Programming, Computer Programming Tools, Data Structures, Experiment, Machine Learning Algorithms, Software Engineering Tools, Spreadsheet Software, Algorithms, Application Development, Applied Machine Learning, Business Analysis, Data Management, Extract, Transform, Load, Knitr

      4.5

      (49.9k reviews)

      Beginner · Specialization · 3-6 Months

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      Johns Hopkins University

      Data Science: Statistics and Machine Learning

      Skills you'll gain: R Programming, Statistical Programming, General Statistics, Statistical Analysis, Data Analysis, Machine Learning, Probability & Statistics, Statistical Tests, Data Science, Machine Learning Software, Basic Descriptive Statistics, Bayesian Statistics, Correlation And Dependence, Econometrics, Estimation, Linear Algebra, Regression, Exploratory Data Analysis, Theoretical Computer Science, Data Visualization, Interactive Data Visualization, Natural Language Processing, Probability Distribution, Plot (Graphics), Machine Learning Algorithms, Algorithms, Applied Machine Learning, Business Analysis

      4.4

      (7.1k reviews)

      Intermediate · Specialization · 3-6 Months

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      University of Colorado Boulder

      Master of Science in Data Science

      Skills you'll gain: Theoretical Computer Science, Probability & Statistics, General Statistics, Algorithms, Data Management, Strategy and Operations, Computer Architecture, Mathematics, Leadership and Management, Data Analysis, Databases, Communication, Hardware Design, Operating Systems, Statistical Programming, Computer Programming, Business Analysis, Research and Design, Machine Learning, Finance, Regression, SQL, Writing, Data Structures, Project Management, Statistical Analysis, Business Communication, Probability Distribution, Software Engineering, Entrepreneurship, Database Design, Statistical Tests, Computer Networking, Accounting, Design and Product, Computer Graphics, Operations Research, Systems Design, Data Visualization, Data Model, Database Administration, Database Application, Database Theory, Machine Learning Algorithms, Statistical Machine Learning, Human Computer Interaction, Estimation, Internet Of Things, PostgreSQL, Problem Solving, Experiment, Network Architecture, Graph Theory, Applied Mathematics, Computer Vision, Deep Learning, Financial Analysis, Geometry, Security Engineering, User Experience, Econometrics, Marketing, Mathematical Theory & Analysis, Programming Principles, Python Programming, Supply Chain and Logistics, Computer Graphic Techniques, Algebra, Cryptography, Business Psychology, Interactive Design, Budget Management, Correlation And Dependence, Distributed Computing Architecture, Linear Algebra, Linux, Critical Thinking, Data Mining, Cost Accounting, Differential Equations, User Experience Design, Data Warehousing, Network Model, Cloud Computing, Cyberattacks, Security Strategy, Computer Programming Tools, Computational Logic, Applied Machine Learning, Calculus, Computational Thinking, Feature Engineering, Graphic Design, Investment Management, Other Programming Languages, Sales, Scrum (Software Development), Software Architecture, Software Testing, System Programming, Visual Design, Human Resources, Matlab, Artificial Neural Networks, Emotional Intelligence, Market Analysis, NoSQL, Statistical Visualization, Basic Descriptive Statistics, C Programming Language Family, Data Analysis Software, Exploratory Data Analysis, FinTech, Material Handling, Organizational Development, Product Lifecycle, Risk Management, Strategy, Amazon Web Services, Big Data, Cloud Platforms, Culture, Decision Making, Graphics Software, Microarchitecture, Application Development, Computer Security Models, Leadership Development, Operational Analysis, Product Design, Reinforcement Learning, Software Security, System Security, User Research, Market Research, Plot (Graphics), R Programming, Account Management, Banking, BlockChain, Business Process Management, Contract Management, Data Architecture, Financial Accounting, Financial Management, Generally Accepted Accounting Principles (GAAP), Geovisualization, Inventory Management, Management Accounting, Markov Model, Natural Language Processing, Operations Management, Planning, Product Management, Spreadsheet Software, Storytelling, Supplier Relationship Management, Benefits, Collaboration, Computer Science, Computer Security Incident Management, Data Science, Dimensionality Reduction, Forecasting, Journalism, Negotiation, Network Analysis, Network Security, Resilience, System Software

      Earn a degree

      Degree · 1-4 Years

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      IBM Skills Network

      Python for Data Science, AI & Development

      Skills you'll gain: Data Analysis, Python Programming, Data Structures, Programming Principles, Algebra, Basic Descriptive Statistics, Exploratory Data Analysis, Computational Logic, Computer Programming, Mathematical Theory & Analysis, Mathematics, Statistical Programming, Theoretical Computer Science

      4.6

      (31.1k reviews)

      Beginner · Course · 1-3 Months

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      IBM Skills Network

      Applied Data Science with R

      Skills you'll gain: R Programming, Data Analysis, Plot (Graphics), Exploratory Data Analysis, Data Mining, Data Visualization, SQL, Basic Descriptive Statistics, General Statistics, Data Management, Data Visualization Software, Databases, Interactive Data Visualization, Statistical Analysis, Statistical Programming, Statistical Visualization, Probability & Statistics, Data Analysis Software, Database Theory, Regression, Statistical Tests, Big Data, Software Visualization, Data Structures, User Experience, Machine Learning, Probability Distribution, Applied Machine Learning, Deep Learning, Estimation, Geovisualization, Linear Algebra, Machine Learning Algorithms, Machine Learning Software, SAS (Software), Spatial Data Analysis, Statistical Machine Learning, Data Architecture, Data Model, Database Administration, Database Application, Database Design, Visualization (Computer Graphics), Advertising, Business Analysis, Communication, Computational Logic, Computer Programming, Data Science, Extract, Transform, Load, Marketing, Programming Principles, Theoretical Computer Science

      4.5

      (591 reviews)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      Applied Data Science Capstone

      Skills you'll gain: Data Science, Data Analysis, Exploratory Data Analysis, Data Visualization, Statistical Programming, Data Management, Extract, Transform, Load, Interactive Data Visualization, Machine Learning, Machine Learning Algorithms, Python Programming, SQL, Statistical Visualization, Algorithms, Business Analysis, Databases, Probability & Statistics, Theoretical Computer Science

      4.7

      (6.5k reviews)

      Intermediate · Course · 1-3 Months

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      Databricks

      Applied Data Science for Data Analysts

      Skills you'll gain: Algorithms, Computer Programming, Data Management, Machine Learning, Probability & Statistics, Theoretical Computer Science, Mathematics, Machine Learning Algorithms, Feature Engineering, Applied Machine Learning, General Statistics, Data Science, Data Structures, Dimensionality Reduction, Statistical Programming

      4.4

      (36 reviews)

      Intermediate · Course · 1-3 Months

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      University of Michigan

      Master of Applied Data Science

      Skills you'll gain: Machine Learning, Probability & Statistics, Data Analysis, Data Mining, Mathematics, Databases, Machine Learning Algorithms, Network Analysis, Statistical Programming, Communication, Data Management, General Statistics, PostgreSQL, SQL, Natural Language Processing, Computer Programming, Deep Learning, Econometrics, Experiment, Forecasting, Research and Design, Storytelling, Python Programming, Computer Networking, Data Visualization, Graph Theory, Network Model, Regression, Theoretical Computer Science, Algebra, Algorithms, Applied Machine Learning, Artificial Neural Networks, Business Communication, Computer Programming Tools, Database Design, Javascript, Operating Systems, Probability Distribution, Scientific Visualization, Security Engineering, Software Architecture, Software Engineering, Software Security, System Security, Visual Design, Web Development, Advertising, Apache, Big Data, Business Psychology, Computational Logic, Data Structures, Extract, Transform, Load, Finance, Human Computer Interaction, Marketing, Mathematical Theory & Analysis, Mergers & Acquisitions, Operations Research, Other Programming Languages, Programming Principles, Strategy and Operations, Supply Chain Systems, Supply Chain and Logistics, Systems Design, Training, User Experience

      Earn a degree

      Degree · 1-4 Years

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      DeepLearning.AI

      AI for Medicine

      Skills you'll gain: Machine Learning, Machine Learning Algorithms, Python Programming, Deep Learning, Machine Learning Software, Statistical Programming, General Statistics, Artificial Neural Networks, Computer Vision, Data Analysis, Probability & Statistics, Algorithms, Applied Machine Learning, Basic Descriptive Statistics, Estimation, Exploratory Data Analysis, Natural Language Processing, Plot (Graphics), Scientific Visualization, Statistical Tests, Statistical Visualization, Theoretical Computer Science, Computer Graphic Techniques, Computer Graphics, Computer Programming, Business Analysis, Data Management, Data Structures, Feature Engineering, Statistical Analysis

      4.7

      (2.2k reviews)

      Intermediate · Specialization · 1-3 Months

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      Duke University

      Python, Bash and SQL Essentials for Data Engineering

      Skills you'll gain: Computer Programming, Statistical Programming, Python Programming, Data Management, Theoretical Computer Science, Cloud Computing, Software Engineering, Databases, Human Computer Interaction, Software Architecture, User Experience, Computer Programming Tools, Operating Systems, Amazon Web Services, Linux, Extract, Transform, Load, Data Structures, SQL, Cloud Platforms, Machine Learning, Systems Design, Apache, Application Development, Big Data, Data Analysis, Data Engineering, DevOps, Programming Principles, Software Engineering Tools, Database Administration, Database Application, Applied Machine Learning, Cloud Applications, Cloud Engineering, Machine Learning Algorithms, Data Mining

      4.5

      (187 reviews)

      Beginner · Specialization · 3-6 Months

    Searches related to applied data science

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


      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.‎

      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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