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.

What are the benefits of taking an online Applied Data Science course?

Online Applied Data Science courses offer a convenient and flexible way to enhance your existing knowledge or learn new Applied Data Science skills. With a wide range of Applied Data Science classes, you can conveniently learn at your own pace to advance your Applied Data Science career skills.

What Applied Data Science courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Applied Data Science, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Applied Data Science Courses - Learn Applied Data Science Online

Results for "applied data science"

IBM
Applied Data Science
Skills you'll gain: Python Programming, Data Analysis, Machine Learning, Algorithms, Computer Programming, Data Science, Data Visualization, Exploratory Data Analysis, General Statistics, Machine Learning Algorithms, Plot (Graphics), Probability & Statistics, Regression
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
55K reviews
Beginner · Specialization · 3 - 6 Months
University of Michigan
Applied Data Science with Python
Skills you'll gain: Python Programming, Data Analysis, Computer Programming, Machine Learning, Algorithms, Applied Machine Learning, Data Mining, Machine Learning Algorithms, Exploratory Data Analysis, Statistical Programming, Data Management, Extract, Transform, Load, Natural Language Processing, Critical Thinking, Statistical Machine Learning, Graph Theory, Network Analysis, Computer Programming Tools, Human Learning, Data Visualization, Network Model, Data Analysis Software, Regression, Computer Networking, General Statistics, Network Architecture, Plot (Graphics), Computer Graphics
4.5
Rating, 4.5 out of 5 stars
34K reviews
Intermediate · Specialization · 3 - 6 Months
IBM
Applied Data Science Capstone
Skills you'll gain: Python Programming, Data Analysis, Machine Learning, Algorithms, Computer Programming, Data Science, Exploratory Data Analysis
4.7
Rating, 4.7 out of 5 stars
7.2K reviews
Intermediate · Course · 1 - 3 Months
Multiple educators
Data Science Foundations
Skills you'll gain: Data Science, Python Programming, R Programming, Big Data, Cloud Computing, Computer Programming, Correlation And Dependence, Data Analysis, Data Mining, Deep Learning, IBM Cloud, Machine Learning, Regression, Writing
4.6
Rating, 4.6 out of 5 stars
107K reviews
Beginner · Specialization · 3 - 6 Months
IBM
Data Science Fundamentals with Python and SQL
Skills you'll gain: Data Analysis, General Statistics, Probability & Statistics, Basic Descriptive Statistics, Python Programming, Statistical Analysis, Statistical Tests, Mathematical Theory & Analysis, Statistical Programming, Data Science, Data Visualization, Plot (Graphics), R Programming, Computer Programming, Cloud Computing, Databases, IBM Cloud, SQL
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
67K reviews
Beginner · Specialization · 3 - 6 Months
IBM
Introduction to Data Science
Skills you'll gain: Data Science, R Programming, Big Data, Cloud Computing, Computer Programming, Data Analysis, Data Mining, Data Model, Databases, Deep Learning, IBM Cloud, Machine Learning, Python Programming, Regression, SQL, Writing
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
95K reviews
Beginner · Specialization · 3 - 6 Months
Status: [object Object]
IBM
IBM Data Science
Skills you'll gain: Python Programming, Machine Learning, Data Science, R Programming, Data Analysis, Professional Development, Algorithms, Big Data, Cloud Computing, Computer Programming, Data Mining, Data Model, Data Visualization, Databases, Deep Learning, Exploratory Data Analysis, General Statistics, Human Learning, IBM Cloud, Machine Learning Algorithms, Plot (Graphics), Probability & Statistics, Regression, SQL, Writing
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
135K reviews
Beginner · Professional Certificate · 3 - 6 Months
Johns Hopkins University
Data Science: Foundations using R
Skills you'll gain: Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Computer Programming, Computer Programming Tools, Data Management, Programming Principles, Data Analysis Software, Data Structures, Statistical Analysis, Critical Thinking, Problem Solving, General Statistics, Process Analysis, Statistical Tests, Computational Thinking, Big Data, Data Mining, Data Visualization, Databases, Extract, Transform, Load, Plot (Graphics), Communication, Computer Graphic Techniques, Computer Graphics, Interactive Data Visualization, Knitr, Visualization (Computer Graphics)
4.6
Rating, 4.6 out of 5 stars
48K reviews
Beginner · Specialization · 3 - 6 Months
Johns Hopkins University
Data Science
Skills you'll gain: R Programming, Data Analysis, Statistical Programming, Statistical Analysis, Computer Programming, Exploratory Data Analysis, General Statistics, Problem Solving, Data Analysis Software, Probability & Statistics, Computer Programming Tools, Critical Thinking, Programming Principles, Statistical Tests, Data Management, Data Structures, Statistical Machine Learning, Basic Descriptive Statistics, Algorithms, Data Model, Human Learning, Machine Learning, Machine Learning Algorithms, Process Analysis, Correlation And Dependence, Data Visualization, Data Visualization Software, Plot (Graphics), Regression, Computer Graphics, Interactive Data Visualization, Applied Machine Learning, Big Data, Computational Thinking, Data Mining, Estimation, Extract, Transform, Load, Mathematics, Probability Distribution, Databases, Machine Learning Software, Communication, Computer Graphic Techniques, Knitr, Natural Language Processing, Visualization (Computer Graphics), Product Development
4.5
Rating, 4.5 out of 5 stars
51K reviews
Beginner · Specialization · 3 - 6 Months
IBM
Applied Data Science with R
Skills you'll gain: Data Analysis, R Programming, Computer Programming, Data Visualization, Statistical Programming, Exploratory Data Analysis, Plot (Graphics), Statistical Visualization, Data Analysis Software, Statistical Analysis, Basic Descriptive Statistics, Data Structures, General Statistics, Interactive Data Visualization, Visualization (Computer Graphics), Extract, Transform, Load, Data Management, Programming Principles, Computer Programming Tools, Visual Design, Data Visualization Software, Databases, Data Science, SQL
4.5
Rating, 4.5 out of 5 stars
1.1K reviews
Beginner · Specialization · 3 - 6 Months
IBM
Data Science Methodology
Skills you'll gain: Data Analysis, Data Mining, Data Model, Data Science, Python Programming
4.6
Rating, 4.6 out of 5 stars
20K reviews
Beginner · Course · 1 - 4 Weeks
University of Michigan
Introduction to Data Science in Python
Skills you'll gain: Computer Programming, Data Analysis, Data Management, Python Programming, Statistical Programming, Data Mining, Extract, Transform, Load, Computer Programming Tools, Critical Thinking, Exploratory Data Analysis, General Statistics
4.5
Rating, 4.5 out of 5 stars
27K reviews
Intermediate · Course · 1 - 4 Weeks