What is statistics for data science?

Statistics for data science refers to the mathematical analysis used to sort, analyze, interpret, and present data. It includes concepts like probability distribution, regression, and over or under-sampling. Descriptive statistics organizes data based on characteristics of the data set, such as normal distribution, central tendency, variability, and standard deviation. Inferential statistics incorporates the use of probability theory to infer characteristics of the data set.

Why learn statistics for data science?

Learning statistics for data science can lead to career opportunities in data science and related fields. As organizations increasingly rely on data to make decisions, they tend to seek out analysts who understand how to work with data and present it to stakeholders. Learning statistics for data science can also provide a good salary. As of 2020, the median pay for computer and information research scientists in the US is $122,840 and the job market remains positive, according to the Bureau of Labor Statistics. Mathematicians and statisticians have a similar job outlook and a median salary of $92,030 per year.

What are typical careers that use statistics for data science?

Data analysis, data architects, data scientists, and information officers typically use statistics for data science in their regular work. Data science is a broad field, and statistics can be useful in other roles that require analyzing and presenting data. This includes data warehouse analysts, data visualization developers, database managers, and machine learning engineers. Additional related fields include financial analysts, teachers, and researchers working for universities and corporate settings.

How can online courses help me learn statistics for data science?

Through online courses, you can learn the fundamentals of statistics for data science, including the theories and techniques statisticians use in their work. Some courses explore fundamental concepts like Bayes’ Theorem and probability theory. Others present methods for calculating and evaluating data sets. You can brush up on your knowledge of programs statisticians use, like Excel and Python, or examine the application of statistics specific fields.

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

Online Statistics for Data Science courses offer a convenient and flexible way to enhance your knowledge or learn new Statistics for Data Science skills. Choose from a wide range of Statistics for Data Science courses offered by top universities and industry leaders tailored to various skill levels.

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

When looking to enhance your workforce's skills in Statistics for 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 Statistics For Data Science Courses - Learn Statistics For Data Science Online

Explore the Statistics for Data Science Course Catalog

Status: New
Vanderbilt University
Generative AI SQL Database Specialist with ChatGPT
Skills you'll gain: Prompt Engineering, ChatGPT, Database Design, Productivity, Data Migration, Generative AI, Software Documentation, SQL, Dashboard, Artificial Intelligence, Database Management, Data Visualization, Large Language Modeling, Gap Analysis, Database Architecture and Administration, Technical Design, Data Storytelling, Data Analysis, Debugging, Data-Driven Decision-Making
4.8
Rating, 4.8 out of 5 stars
5.7K reviews
Intermediate · Specialization · 1 - 3 Months
Olay
Introduction to Cosmetic and Skincare Science
Skills you'll gain: Product Testing, Laboratory Testing, Personal Care, Safety Assurance, Chemistry, Microbiology, Biology, Product Development, Regulatory Compliance, Innovation
4.7
Rating, 4.7 out of 5 stars
236 reviews
Beginner · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Object-Oriented Data Structures in C++
Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Object Oriented Design, Development Environment, Engineering Software, Computer Programming, Software Engineering, Data Structures, Debugging, Program Development
4.7
Rating, 4.7 out of 5 stars
3K reviews
Intermediate · Course · 1 - 4 Weeks
McMaster University
DNA Decoded
Skills you'll gain: Molecular Biology, Medical Science and Research, Biochemistry, Laboratory Testing, Biology, Microbiology, Science and Research
4.8
Rating, 4.8 out of 5 stars
1.3K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Northeastern University
Data Privacy Fundamentals
Skills you'll gain: Information Privacy, Personally Identifiable Information, Data Ethics, Law, Regulation, and Compliance, Journalism, Emerging Technologies, Media and Communications, Internet Of Things, Artificial Intelligence
4.8
Rating, 4.8 out of 5 stars
675 reviews
Beginner · Course · 1 - 4 Weeks
Meta
Meta Front-End Developer
Skills you'll gain: Jest (JavaScript Testing Framework), Version Control, UI/UX Research, Usability Testing, Responsive Web Design, Data Structures, Unix Commands, HTML and CSS, Git (Version Control System), Persona (User Experience), GitHub, Interaction Design, User Experience Design, User Interface and User Experience (UI/UX) Design, Bootstrap (Front-End Framework), React.js, Mobile Development, Front-End Web Development, Algorithms, Web Development Tools
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
22K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free
Princeton University
Algorithms, Part I
Skills you'll gain: Data Structures, Algorithms, Java, Performance Testing, Computer Programming, Theoretical Computer Science, Object Oriented Programming (OOP), Computational Thinking
4.9
Rating, 4.9 out of 5 stars
12K reviews
Intermediate · Course · 3 - 6 Months
DeepLearning.AI
Introduction to Generative AI for Software Development
Skills you'll gain: Prompt Engineering, Large Language Modeling, ChatGPT, Generative AI, Code Review, Software Development, Program Development, Software Development Methodologies, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
4.7
Rating, 4.7 out of 5 stars
437 reviews
Beginner · Course · 1 - 4 Weeks
Microsoft
Work Smarter with Microsoft Excel
Skills you'll gain: Microsoft Excel, Excel Formulas, Data Visualization, Spreadsheet Software, Microsoft 365, Productivity Software, Data Import/Export, Data Management
4.7
Rating, 4.7 out of 5 stars
2.8K reviews
Beginner · Course · 1 - 3 Months
University of California, Santa Cruz
C for Everyone: Programming Fundamentals
Skills you'll gain: Debugging, C (Programming Language), Code Review, Data Structures, Computer Programming, Program Development, Computer Science, Computational Thinking, Software Technical Review, Integrated Development Environments, Algorithms
4.5
Rating, 4.5 out of 5 stars
6.6K reviews
Beginner · Course · 1 - 3 Months
Status: New
Meta
Meta Full-Stack Developer
Skills you'll gain: Jest (JavaScript Testing Framework), Django (Web Framework), Version Control, Restful API, Responsive Web Design, Unix Commands, HTML and CSS, Git (Version Control System), GitHub, Relational Databases, Object Oriented Programming (OOP), Database Management Systems, Bootstrap (Front-End Framework), React.js, Mobile Development, SQL, Database Design, Unit Testing, Web Development Tools, Web Development
4.7
Rating, 4.7 out of 5 stars
23K reviews
Beginner · Specialization · 3 - 6 Months
Status: AI skills
Meta
Meta Social Media Marketing
Skills you'll gain: Paid media, Social Media Marketing, Social Media Management, Social Media, Marketing Analytics, Target Audience, Marketing Budgets, Social Media Strategy, Social Media Campaigns, Instagram, Content Creation, Campaign Management, Marketing Effectiveness, Online Advertising, Marketing, Performance Analysis, Key Performance Indicators (KPIs), Goal Setting, Advertising, Facebook
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
21K reviews
Beginner · Professional Certificate · 3 - 6 Months