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    • Applied Data Science

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    509 résultats pour ''applied data science'

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      University of Michigan

      Applied Data Science with Python

      Compétences que vous acquerrez : 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

      (32.9k avis)

      Intermediate · Specialization · 3-6 Months

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      IBM Skills Network

      Applied Data Science

      Compétences que vous acquerrez : Python Programming, Data Analysis, Data Science, Data Structures, Data Visualization, Statistical Programming, Basic Descriptive Statistics, Programming Principles, Exploratory Data Analysis, Algebra, Machine Learning, Applied Machine Learning, Data Mining, General Statistics, Regression, Statistical Analysis, Statistical Tests, Statistical Visualization, Data Management, Extract, Transform, Load, Interactive Data Visualization, Machine Learning Algorithms, SQL, Computer Programming, Geovisualization, Plot (Graphics), 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

      (43.1k avis)

      Beginner · Specialization · 3-6 Months

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      Johns Hopkins University

      Applied Calculus with Python

      Compétences que vous acquerrez : Mathematics, Calculus, Computer Programming, Python Programming, Statistical Programming, Algebra, Computational Logic, Theoretical Computer Science

      4.5

      (10 avis)

      Intermediate · Course · 1-3 Months

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      University of Michigan

      Introduction to Data Science in Python

      Compétences que vous acquerrez : Basic Descriptive Statistics, Python Programming, Data Analysis, Data Structures, Data Mining, Exploratory Data Analysis, Statistical Analysis, Correlation And Dependence, Statistical Tests, Data Architecture, Estimation, General Statistics, Linear Algebra, Regression, Statistical Visualization, Computational Logic, Computer Programming, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Programming Principles, Statistical Programming, Theoretical Computer Science

      4.5

      (26.5k avis)

      Intermediate · Course · 1-4 Weeks

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      IBM Skills Network

      Applied Data Science with R

      Compétences que vous acquerrez : 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

      (547 avis)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      Applied Data Science Capstone

      Compétences que vous acquerrez : 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

      (6.4k avis)

      Intermediate · Course · 1-3 Months

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      Databricks

      Applied Data Science for Data Analysts

      Compétences que vous acquerrez : Algorithms, Computer Programming, Data Management, Machine Learning, Probability & Statistics, Theoretical Computer Science, Mathematics, Feature Engineering, Machine Learning Algorithms, Applied Machine Learning, General Statistics, Data Science, Data Structures, Dimensionality Reduction, Statistical Programming

      4.4

      (36 avis)

      Intermediate · Course · 1-3 Months

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      University of Michigan

      Master of Applied Data Science

      Compétences que vous acquerrez : Machine Learning, Mathematics, Data Analysis, Probability & Statistics, Data Mining, Databases, Machine Learning Algorithms, Network Analysis, Statistical Programming, Communication, PostgreSQL, Data Management, Natural Language Processing, SQL, Computer Programming, Deep Learning, General Statistics, Research and Design, Storytelling, Python Programming, Computer Networking, Data Visualization, Graph Theory, Network Model, Theoretical Computer Science, Algebra, Algorithms, Applied Machine Learning, Artificial Neural Networks, Business Communication, Computer Programming Tools, Database Design, Experiment, 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, Econometrics, Extract, Transform, Load, Finance, Human Computer Interaction, Marketing, Mathematical Theory & Analysis, Mergers & Acquisitions, Other Programming Languages, Programming Principles, Regression, Systems Design, Training, User Experience

      Obtenir un diplôme

      Degree · 1-4 Years

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      IBM Skills Network

      IBM Data Science

      Compétences que vous acquerrez : Python Programming, Data Science, Data Analysis, Data Structures, Statistical Programming, Machine Learning, Data Mining, Regression, Machine Learning Algorithms, Data Visualization, General Statistics, Basic Descriptive Statistics, SQL, Applied Machine Learning, Statistical Analysis, Computer Programming Tools, Data Analysis Software, Machine Learning Software, Software Visualization, Databases, Programming Principles, Exploratory Data Analysis, Algebra, Data Management, Database Theory, Data Visualization Software, R Programming, Statistical Machine Learning, Statistical Tests, Deep Learning, Probability & Statistics, Statistical Visualization, Database Application, Extract, Transform, Load, Devops Tools, SPSS, Estimation, Interactive Data Visualization, Algorithms, Computer Programming, Database Administration, Geovisualization, Plot (Graphics), Reinforcement Learning, Theoretical Computer Science, Big Data, Business Analysis, Computational Logic, Correlation And Dependence, Econometrics, Entrepreneurship, Marketing, Mathematical Theory & Analysis, Mathematics, Spreadsheet Software, Storytelling, Supply Chain Systems, Supply Chain and Logistics, Writing

      4.6

      (106k avis)

      Beginner · Professional Certificate · 3-6 Months

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      DeepLearning.AI, Stanford University

      Machine Learning

      Compétences que vous acquerrez : Machine Learning, Probability & Statistics, Machine Learning Algorithms, General Statistics, Theoretical Computer Science, Algorithms, Applied Machine Learning, Artificial Neural Networks, Regression, Econometrics, Computer Programming, Deep Learning, Python Programming, Statistical Programming, Mathematics, Tensorflow, Data Management, Data Structures, Statistical Machine Learning, Reinforcement Learning, Probability Distribution, Mathematical Theory & Analysis, Data Analysis, Data Mining, Linear Algebra, Computer Vision, Calculus, Feature Engineering, Bayesian Statistics, Operations Research, Research and Design, Strategy and Operations, Computational Logic, Accounting, Communication

      4.9

      (7.9k avis)

      Beginner · Specialization · 1-3 Months

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      IBM Skills Network

      Python for Data Science, AI & Development

      Compétences que vous acquerrez : 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

      (30.5k avis)

      Beginner · Course · 1-3 Months

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      Howard University

      Linear Algebra for Data Science Using Python

      Compétences que vous acquerrez : Linear Algebra, Mathematics, Computer Programming, Python Programming, Statistical Programming, Algebra

      3.5

      (8 avis)

      Beginner · Specialization · 3-6 Months

    Recherches liées à applied data science

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    applied data science with python
    applied data science for data analysts
    applied data science with r
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    1234…43

    En résumé, voici 10 de nos cours applied data science les plus populaires

    • Applied Data Science with Python: University of Michigan
    • Applied Data Science: IBM Skills Network
    • Applied Calculus with Python: Johns Hopkins University
    • Introduction to Data Science in Python: University of Michigan
    • Applied Data Science with R: IBM Skills Network
    • Applied Data Science Capstone: IBM Skills Network
    • Applied Data Science for Data Analysts: Databricks
    • Master of Applied Data Science: University of Michigan
    • IBM Data Science: IBM Skills Network
    • Machine Learning: DeepLearning.AI

    Questions fréquentes sur 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.‎

    Le contenu de cette FAQ a été mis à disposition à des fins d'information uniquement. Il est conseillé aux étudiants d'effectuer des recherches supplémentaires afin de s'assurer que les cours et autres qualifications suivis correspondent à leurs objectifs personnels, professionnels et financiers.
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