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

Results for "statistics for data science"

Wesleyan University
Data Analysis and Interpretation Capstone
Skills you'll gain: Data Analysis
4.7
Rating, 4.7 out of 5 stars
47 reviews
Mixed · Course · 1 - 4 Weeks
Status: [object Object]
IBM
IBM Data Engineering
Skills you'll gain: Data Management, Apache, Extract, Transform, Load, Databases, Big Data, Data Engineering, Database Administration, Distributed Computing Architecture, Machine Learning, Data Warehousing, Data Architecture, Kubernetes, NoSQL, SQL, Cloud Computing, Cloud Storage, Data Visualization, Leadership and Management, Python Programming, Data Analysis, Network Security, Linux, Business Intelligence, Computer Programming, Data Visualization Software, Statistical Programming, Data Science, PostgreSQL
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
54K reviews
Beginner · Professional Certificate · 3 - 6 Months
Google
Analitik Data Google
Skills you'll gain: Data Analysis, Spreadsheet Software, Data Management, Statistical Programming, Business Analysis, SQL, Databases, Exploratory Data Analysis, Basic Descriptive Statistics, Big Data, Data Visualization, Correlation And Dependence, Extract, Transform, Load, Mathematical Theory & Analysis, Critical Thinking, Data Analysis Software, Computer Programming Tools, Communication, Statistical Machine Learning, Business Communication, Computer Programming, Plot (Graphics), Probability & Statistics, Database Theory, General Statistics, Microsoft Excel, R Programming, Graph Theory, Operating Systems, Data Structures, Software Engineering Tools, Leadership and Management, Scientific Visualization, Tableau Software
4.9
Rating, 4.9 out of 5 stars
2.3K reviews
Beginner · Professional Certificate · 3 - 6 Months
SAS
Getting Started with SAS Programming
Skills you'll gain: Computer Programming, Data Analysis, Databases, SAS (Software), Data Analysis Software, Data Management, SQL, Statistical Analysis, Statistical Programming, Programming Principles
4.8
Rating, 4.8 out of 5 stars
3.1K reviews
Beginner · Course · 1 - 3 Months
University of California San Diego
Design Thinking and Predictive Analytics for Data Products
Skills you'll gain: Machine Learning, Regression, Data Analysis, Machine Learning Algorithms, Probability & Statistics, Statistical Programming, Algorithms, General Statistics, Statistical Machine Learning
4.5
Rating, 4.5 out of 5 stars
65 reviews
Intermediate · Course · 1 - 3 Months
Yonsei University
Big Data Emerging Technologies
Skills you'll gain: Big Data, Data Analysis Software, Data Management, Data Model, Apache, Data Analysis, Data Architecture, Distributed Computing Architecture, Database Theory, Databases
4.7
Rating, 4.7 out of 5 stars
285 reviews
Beginner · Course · 1 - 3 Months
University of Pennsylvania
A Crash Course in Causality: Inferring Causal Effects from Observational Data
Skills you'll gain: General Statistics, Probability & Statistics, Statistical Tests, Data Analysis, Statistical Analysis, Estimation, Probability Distribution, R Programming, Regression, Statistical Programming
4.7
Rating, 4.7 out of 5 stars
557 reviews
Intermediate · Course · 1 - 3 Months
University of Colorado System
Customer Data Analytics for Marketers
Skills you'll gain: Data Science
Intermediate · Course · 1 - 4 Weeks
Status: Free
Institut Mines-Télécom
Data intelligence for businesses and managers
Skills you'll gain: Big Data, Data Analysis, Data Visualization
Beginner · Course · 1 - 3 Months
Arizona State University
Materials Science for Technological Application
4.8
Rating, 4.8 out of 5 stars
133 reviews
Beginner · Specialization · 3 - 6 Months
Coursera Project Network
Storytelling With Data
Skills you'll gain: Critical Thinking, Microsoft Excel, Storytelling
4.5
Rating, 4.5 out of 5 stars
195 reviews
Beginner · Guided Project · Less Than 2 Hours
Duke University
Mastering Data Analysis in Excel
Skills you'll gain: Business Analysis, Data Analysis, Data Model, General Statistics, Probability & Statistics, Statistical Analysis, Mathematical Theory & Analysis, Mathematics, Spreadsheet Software, Statistical Tests, Regression, Microsoft Excel
4.2
Rating, 4.2 out of 5 stars
3.9K reviews
Mixed · Course · 1 - 3 Months