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    • Applied Data Science

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    343 results for "applied data science"

    • University of Michigan

      University of Michigan

      Applied Data Science with Python

      Skills you'll gain: Algorithms, Applied Machine Learning, Artificial Neural Networks, Computational Logic, Computer Graphics, Computer Networking, Computer Programming, Data Analysis, Data Mining, Data Visualization, Econometrics, General Statistics, Graph Theory, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Mathematical Theory & Analysis, Mathematics, Natural Language, Natural Language Processing, Network Analysis, Network Model, Plot (Graphics), Probability & Statistics, Programming Principles, Python Programming, Regression, Statistical Machine Learning, Statistical Programming, Statistical Tests, Theoretical Computer Science

      4.5

      (31.9k reviews)

      Intermediate · Specialization

    • IBM

      IBM

      Applied Data Science

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

      4.6

      (38.1k reviews)

      Beginner · Specialization

    • University of Michigan

      University of Michigan

      Master of Applied Data Science

      Skills you'll gain: Computer Programming Tools, Big Data, Research and Design, Applied Machine Learning, Machine Learning Algorithms, Software Security, Probability & Statistics, Data Management, Data Mining, Theoretical Computer Science, Interview, Communication, Deep Learning, Databases, Data Analysis, PostgreSQL, SQL, Network Analysis, Graph Theory, Regression, Mathematics, Data Manipulation, Natural Language Processing, Storytelling, Computer Programming, Lambda Calculus, Security Engineering, Machine Learning, Correlation And Dependence, Experiment, Data Visualization, Algebra, Python Programming, Operating Systems, Statistical Programming

      Earn a degree

      Degree

    • IBM

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Analysis, Basic Descriptive Statistics, Business Analysis, Computational Logic, Computer Programming, Data Analysis, Data Management, Data Visualization, Database Administration, Database Application, Databases, Extract, Transform, Load, General Statistics, Machine Learning, Mathematical Theory & Analysis, Mathematics, Pandas, Plot (Graphics), Probability & Statistics, Probability Distribution, Python Programming, R Programming, Regression, SPSS, SQL, Statistical Analysis, Statistical Programming, Statistical Tests, Statistical Visualization, Theoretical Computer Science

      4.5

      (46.5k reviews)

      Beginner · Specialization

    • IBM

      IBM

      Applied Data Science with R

      Skills you'll gain: Advertising, Business Analysis, Communication, Computational Logic, Computer Programming, Data Analysis, Data Management, Data Visualization, Databases, Extract, Transform, Load, Marketing, Plot (Graphics), Probability & Statistics, Programming Principles, R Programming, Regression, SQL, Statistical Analysis, Statistical Programming, Theoretical Computer Science

      4.4

      (287 reviews)

      Beginner · Specialization

    • IBM

      IBM

      Applied Data Science Capstone

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

      4.7

      (6.1k reviews)

      Intermediate · Course

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      Databricks

      Databricks

      Applied Data Science for Data Analysts

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

      4.3

      (29 reviews)

      Intermediate · Course

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      IBM

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Computational Logic, Pandas, Theoretical Computer Science, Python Programming, Numpy, Statistical Programming, Mathematical Theory & Analysis, Mathematics, Computer Programming, Data Management, Extract, Transform, Load, Python Libraries

      4.6

      (26.9k reviews)

      Beginner · Course

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      Johns Hopkins University

      Johns Hopkins University

      Advanced Statistics for Data Science

      Skills you'll gain: Artificial Neural Networks, Bayesian Statistics, Biostatistics, Calculus, Dimensionality Reduction, Econometrics, Experiment, General Statistics, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematics, Probability & Statistics, Probability Distribution, Regression, Statistical Machine Learning, Statistical Tests

      4.4

      (657 reviews)

      Advanced · Specialization

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      New York University

      New York University

      Machine Learning and Reinforcement Learning in Finance

      Skills you'll gain: Accounting, Algorithms, Applied Mathematics, Artificial Neural Networks, Business Analysis, Calculus, Data Analysis, Entrepreneurship, Finance, Financial Analysis, General Statistics, Investment Management, Machine Learning, Machine Learning Algorithms, Mathematics, Probability & Statistics, Reinforcement Learning, Theoretical Computer Science

      3.7

      (742 reviews)

      Intermediate · Specialization

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      University of Michigan

      University of Michigan

      Introduction to Data Science in Python

      Skills you'll gain: Pandas, Theoretical Computer Science, Computational Logic, Python Programming, Probability & Statistics, Statistical Tests, Mathematical Theory & Analysis, Mathematics, Data Analysis, Programming Principles, Computer Programming, Analysis, Numpy, Statistical Programming

      4.5

      (25.8k reviews)

      Intermediate · Course

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      University of Colorado Boulder

      University of Colorado Boulder

      Master of Science in Data Science

      Skills you'll gain: Business Psychology, Algorithms, Unix Shells, Data Visualization, Theoretical Computer Science, Data Structures, Critical Thinking, Data Warehousing, Programming Principles, Data Clustering Algorithms, Analysis, Machine Learning Algorithms, Linearity, Estimation, Graphic Design, Inference, Entrepreneurship, Security, Computer Graphics, Modeling, Econometrics, Deep Learning, R Programming, Statistical Programming, Databases, Probability Distribution, Regression, Strategy and Operations, Statistical Analysis, Computer Programming, SQL, Statistical Tests, General Statistics, Probability, Communication, Probability & Statistics, Data Analysis, Business Analysis, Artificial Neural Networks, Computer Vision, Database Theory, Human Resources, Machine Learning, Data Management, Data Model

      Earn a degree

      Degree

    Searches related to applied data science

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    1234…29

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

    • Applied Data Science with Python: University of Michigan
    • Applied Data Science: IBM
    • Master of Applied Data Science: University of Michigan
    • Data Science Fundamentals with Python and SQL: IBM
    • Applied Data Science with R: IBM
    • Applied Data Science Capstone: IBM
    • Applied Data Science for Data Analysts: Databricks
    • Python for Data Science, AI & Development: IBM
    • Advanced Statistics for Data Science: Johns Hopkins University
    • Machine Learning and Reinforcement Learning in Finance: New York University

    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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