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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389 results for "applied data science"

Johns Hopkins University
Data Science: Statistics and Machine Learning
Skills you'll gain: Algorithms, Analysis, Applied Machine Learning, Business Analysis, Confidence, Data Analysis, Data Visualization, Econometrics, General Statistics, Interactive Data Visualization, Linear Regression, Machine Learning, Machine Learning Algorithms, Natural Language Processing, Plot (Graphics), Probability, Probability & Statistics, Probability Distribution, R Programming, Regression, Statistical Analysis, Statistical Programming, Statistical Tests, Supply Chain, Theoretical Computer Science
4.4
(7k reviews)
Intermediate · Specialization · 3-6 Months
MathWorks
Practical Data Science with MATLAB
Skills you'll gain: Algebra, Analysis, Applied Machine Learning, Business Analysis, Correlation And Dependence, Data Analysis, Data Analysis Software, Data Management, Data Visualization, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, Feature Engineering, General Statistics, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematics, Matlab, Plot (Graphics), Probability & Statistics, Probability Distribution, Regression, Statistical Analysis, Statistical Visualization, Web Development
4.7
(937 reviews)
Beginner · Specialization · 3-6 Months
IBM Skills Network
Advanced Data Science with IBM
Skills you'll gain: Algorithms, Apache, Applied Machine Learning, Artificial Neural Networks, Basic Descriptive Statistics, Bayesian Statistics, Big Data, Change Management, Cloud Computing, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Correlation And Dependence, Data Analysis, Data Management, Data Model, Data Structures, Data Visualization, Databases, Deep Learning, Dimensionality Reduction, Distributed Computing Architecture, Econometrics, Estimation, Experiment, Extract, Transform, Load, General Statistics, IBM Cloud, Leadership and Management, Machine Learning, Machine Learning Algorithms, Natural Language Processing, Plot (Graphics), Probability & Statistics, Probability Distribution, Process, Programming Principles, Python Programming, Regression, SQL, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Strategy and Operations, Tensorflow, Theoretical Computer Science
4.3
(2.9k reviews)
Advanced · Specialization · 3-6 Months
Johns Hopkins University
Advanced Statistics for Data Science
Skills you'll gain: Algebra, Artificial Neural Networks, Bayesian Statistics, Biostatistics, Calculus, Communication, 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
(670 reviews)
Advanced · Specialization · 3-6 Months
DeepLearning.AI
TensorFlow: Data and Deployment
Skills you'll gain: Android Development, Application Development, Applied Machine Learning, Computer Architecture, Computer Programming, Computer Vision, Cross Platform Development, Data Management, Data Model, Data Visualization, Deep Learning, Entrepreneurship, Extract, Transform, Load, HTML and CSS, Javascript, Leadership and Management, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Marketing, Microarchitecture, Mobile Development, Mobile Development Tools, Modeling, Problem Solving, Python Programming, Research and Design, Security Engineering, Software Engineering, Statistical Programming, Swift Programming, Tensorflow, Theoretical Computer Science, Visualization (Computer Graphics), Web Development, iOS Development
4.6
(1.3k reviews)
Intermediate · Specialization · 3-6 Months
Free
University of Colorado System
Clinical Data Science
Skills you'll gain: Accounting, Algorithms, Analysis, Billing & Invoicing, Clinical Data Management, Communication, Computational Logic, Computer Programming, Data Analysis, Data Management, Data Model, Databases, Extract, Transform, Load, Finance, Leadership and Management, Machine Learning, Marketing, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Process, Programming Principles, R Programming, Regulations and Compliance, Rstudio, SQL, Statistical Programming, Theoretical Computer Science
4.5
(388 reviews)
Intermediate · Specialization · 3-6 Months
Databricks
Data Science with Databricks for Data Analysts
Skills you'll gain: Algorithms, Analysis, Apache, Applied Machine Learning, Big Data, Business Analysis, Computer Programming, Data Analysis, Data Management, Data Structures, Databases, Dimensionality Reduction, Exploratory Data Analysis, Feature Engineering, General Statistics, Machine Learning, Machine Learning Algorithms, Mathematics, Probability & Statistics, SQL, Statistical Analysis, Statistical Programming, Theoretical Computer Science
4.5
(402 reviews)
Intermediate · Specialization · 3-6 Months

Searches related to applied data science

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applied data science with python

applied data science with r

applied data science capstone

applied data science for data analysts

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

Data Science: Statistics and Machine Learning: Johns Hopkins University
Practical Data Science with MATLAB: MathWorks
Advanced Data Science with IBM: IBM Skills Network
Advanced Statistics for Data Science: Johns Hopkins University
Data Science Foundations: Statistical Inference: University of Colorado Boulder
TensorFlow: Data and Deployment: DeepLearning.AI
Data Science Math Skills: Duke University
Clinical Data Science: University of Colorado System
Data Science with Databricks for Data Analysts: Databricks
Statistical Modeling for Data Science Applications: University of Colorado Boulder

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.

Filter by

389 results for "applied data science"

Data Science: Statistics and Machine Learning

Practical Data Science with MATLAB

Advanced Data Science with IBM

Advanced Statistics for Data Science

Data Science Foundations: Statistical Inference

TensorFlow: Data and Deployment

Data Science Math Skills

Clinical Data Science

Data Science with Databricks for Data Analysts

Statistical Modeling for Data Science Applications

Probability Theory: Foundation for Data Science

Fundamentals of Software Architecture for Big Data

Searches related to applied data science

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

Frequently Asked Questions about Applied Data Science

What kind of people are best suited for roles in data science?‎

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

What are common career paths for someone in data science?‎

What types of places hire people with a background in data science?‎

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Filter by

389 results for "applied data science"

Searches related to applied data science

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

Frequently Asked Questions about Applied Data Science

What kind of people are best suited for roles in data science?‎

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

What are common career paths for someone in data science?‎

What types of places hire people with a background in data science?‎

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