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"

IBM Skills Network
Introduction to Data Science
Skills you'll gain: Analysis, Communication, Computer Programming, Data Analysis, Data Management, Data Mining, Database Administration, Database Application, Databases, General Statistics, Machine Learning, Marketing, Probability & Statistics, Python Programming, R Programming, Regression, Rstudio, SPSS, SQL, Statistical Programming
4.6
(71.9k reviews)
Beginner · Specialization · 3-6 Months
IBM Skills Network
IBM Applied AI
Skills you'll gain: Algorithms, Application Programming Interfaces, Applied Machine Learning, Artificial Neural Networks, Cloud API, Cloud Computing, Computational Logic, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Data Management, Deep Learning, Ethics, Extract, Transform, Load, IBM Cloud, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Python Programming, Software Engineering, Software Engineering Tools, Statistical Programming, Theoretical Computer Science, Web Development, Web Development Tools
4.6
(38.9k reviews)
Beginner · Professional Certificate · 3-6 Months
Free
Eindhoven University of Technology
Process Mining: Data science in Action
Skills you'll gain: Theoretical Computer Science, Data Analysis, Data Structures, Machine Learning, Data Mining, Machine Learning Algorithms, Entrepreneurship, Data Management, Organizational Development, Leadership and Management, Process Analysis, Strategy and Operations, Business Process Management, Business Psychology, Modeling, Communication, Business Analysis, Algorithms, Process
4.7
(1.1k reviews)
Intermediate · Course · 1-3 Months
Google Cloud
Preparing for Google Cloud Certification: Cloud Data Engineer
Skills you'll gain: Analytics, Apache, Applied Machine Learning, Bayesian Statistics, Big Data, Business Psychology, Cloud Computing, Cloud Platforms, Computer Architecture, Computer Programming, Data Management, Deep Learning, Distributed Computing Architecture, Entrepreneurship, Feature Engineering, Full-Stack Web Development, General Statistics, Google Cloud Platform, Hardware Design, Machine Learning, Probability & Statistics, Python Programming, Statistical Programming, Streams, Tensorflow, Web Development
4.6
(17.1k reviews)
Intermediate · Professional Certificate · 3-6 Months
Google Cloud
Data Engineering, Big Data, and Machine Learning on GCP
Skills you'll gain: Apache, Applied Machine Learning, Bayesian Statistics, Big Data, Business Psychology, Cloud Computing, Cloud Platforms, Computer Architecture, Computer Networking, Computer Programming, Data Management, Dataflow, Deep Learning, Distributed Computing Architecture, Entrepreneurship, Feature Engineering, Full-Stack Web Development, General Statistics, Google Cloud Platform, Hardware Design, Machine Learning, Network Architecture, Probability & Statistics, Python Programming, Statistical Programming, Tensorflow, Web Development
4.6
(16.9k reviews)
Intermediate · Specialization · 3-6 Months
Johns Hopkins University
Data Science
Skills you'll gain: Algorithms, Application Development, Applied Machine Learning, Business Analysis, Computer Programming, Data Analysis, Data Management, Data Visualization, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Ggplot2, Interactive Data Visualization, Knitr, Machine Learning, Machine Learning Algorithms, Modeling, Natural Language Processing, Plot (Graphics), Probability & Statistics, Probability Distribution, R Programming, Regression, Software Engineering Tools, Statistical Analysis, Statistical Programming, Statistical Tests, Supply Chain, Theoretical Computer Science, Web Application
4.5
(49.3k reviews)
Beginner · Specialization · 3-6 Months
Microsoft
Microsoft Azure Data Scientist Associate (DP-100)
Skills you'll gain: Algorithms, Apache, Applied Machine Learning, Artificial Neural Networks, Bayesian Statistics, Big Data, Business Analysis, Cloud Computing, Computer Programming, Computer Vision, Data Analysis, Data Management, Deep Learning, Exploratory Data Analysis, General Statistics, Machine Learning, Machine Learning Algorithms, Microsoft Azure, Probability & Statistics, Python Programming, Regression, Statistical Machine Learning, Statistical Programming, Strategy and Operations, Theoretical Computer Science
4.5
(102 reviews)
Intermediate · Professional Certificate · 3-6 Months
University of Colorado Boulder
Data Science Foundations: Data Structures and Algorithms
Skills you'll gain: Algorithms, Computational Logic, Computer Programming, Data Management, Data Structures, Graph Theory, Mathematical Theory & Analysis, Mathematics, Operating Systems, Operations Research, Other Programming Languages, Programming Principles, Research and Design, Strategy and Operations, System Programming, Theoretical Computer Science
4.7
(217 reviews)
Advanced · Specialization · 1-3 Months
University of Illinois at Urbana-Champaign
Data Mining
Skills you'll gain: Algorithms, Applied Machine Learning, Bayesian Statistics, Bioinformatics, Business Psychology, Calculus, Computer Graphics, Computer Programming, Data Analysis, Data Management, Data Mining, Data Structures, Data Visualization, Databases, Documents, Entrepreneurship, General Statistics, Geovisualization, Machine Learning, Machine Learning Algorithms, Mathematics, Natural Language Processing, Probability & Statistics, Project Management, Python Programming, Recommender Systems, SQL, Software, Statistical Programming, Strategy and Operations, Theoretical Computer Science
4.5
(2.7k reviews)
Intermediate · Specialization · 3-6 Months

Searches related to applied data science

applied data science with python specialization

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

Applied Calculus with Python: Johns Hopkins University
Master of Science in Applied Data Analytics: Queen Mary, University of London
Introduction to Data Science: IBM Skills Network
IBM Applied AI: IBM Skills Network
Process Mining: Data science in Action: Eindhoven University of Technology
Preparing for Google Cloud Certification: Cloud Data Engineer: Google Cloud
Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
Data Science: Johns Hopkins University
Excel Basics for Data Analysis: IBM Skills Network
Microsoft Azure Data Scientist Associate (DP-100): Microsoft

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"

Applied Calculus with Python

Master of Science in Applied Data Analytics

Introduction to Data Science

IBM Applied AI

Process Mining: Data science in Action

Preparing for Google Cloud Certification: Cloud Data Engineer

Data Engineering, Big Data, and Machine Learning on GCP

Data Science

Excel Basics for Data Analysis

Microsoft Azure Data Scientist Associate (DP-100)

Data Science Foundations: Data Structures and Algorithms

Data Mining

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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