What kind of people are best suited for roles in 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.

How do I know if learning data science is right for me?

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 .

What are common career paths for someone in data science?

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.

What types of places hire people with a background in data 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.

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Applied Data Science

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''applied data science'的 512 个结果

University of Michigan
Applied Data Science with Python
您将获得的技能： 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
（33k 条评论）
Intermediate · Specialization · 3-6 Months
IBM Skills Network
Applied Data Science
您将获得的技能： 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
（43.3k 条评论）
Beginner · Specialization · 3-6 Months
University of Michigan
Introduction to Data Science in Python
您将获得的技能： 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 条评论）
Intermediate · Course · 1-4 Weeks
Databricks
Applied Data Science for Data Analysts
您将获得的技能： 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 条评论）
Intermediate · Course · 1-3 Months
IBM Skills Network
Applied Data Science with R
您将获得的技能： 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
（558 条评论）
Beginner · Specialization · 3-6 Months
IBM Skills Network
Applied Data Science Capstone
您将获得的技能： 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 条评论）
Intermediate · Course · 1-3 Months
University of Michigan
Master of Applied Data Science
您将获得的技能： Machine Learning, Mathematics, Data Analysis, Probability & Statistics, Data Mining, Databases, Machine Learning Algorithms, Network Analysis, Statistical Programming, Communication, PostgreSQL, Data Management, General Statistics, Natural Language Processing, SQL, Computer Programming, Deep Learning, Research and Design, Storytelling, Python Programming, Computer Networking, Data Visualization, Econometrics, Forecasting, 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, Extract, Transform, Load, Finance, Human Computer Interaction, Marketing, Mathematical Theory & Analysis, Mergers & Acquisitions, Other Programming Languages, Programming Principles, Regression, Systems Design, Training, User Experience
获得学位
Degree · 1-4 Years
IBM Skills Network
IBM Data Science
您将获得的技能： 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, Computer Programming, Statistical Visualization, Algebra, Data Management, Database Theory, Data Visualization Software, R Programming, Statistical Machine Learning, Statistical Tests, Deep Learning, Probability & Statistics, Database Application, Extract, Transform, Load, Plot (Graphics), Devops Tools, SPSS, Estimation, Interactive Data Visualization, Algorithms, Database Administration, Geovisualization, 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
（106.4k 条评论）
Beginner · Professional Certificate · 3-6 Months
DeepLearning.AI，Stanford University
Machine Learning
您将获得的技能： 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
（8.1k 条评论）
Beginner · Specialization · 1-3 Months

与 applied data science 相关的搜索

applied data science with python specialization

applied data science with python

applied data science for data analysts

applied data science with r

applied data science capstone

总之，这是我们最受欢迎的 applied data science 门课程中的 10 门

Applied Data Science with Python: University of Michigan
Search Engines for Web and Enterprise Data: The Hong Kong University of Science and Technology
Applied Data Science: IBM Skills Network
Introduction to Data Science in Python: University of Michigan
Applied Data Science for Data Analysts: Databricks
Applied Plotting, Charting & Data Representation in Python: University of Michigan
Applied Calculus with Python: Johns Hopkins University
Applied Data Science with R: IBM Skills Network
Applied Data Science Capstone: IBM Skills Network
Master of Applied Data Science: University of Michigan

关于 Applied Data Science 的常见问题

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.‎