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

Duke University
Rust Programming
Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), DevOps, Jenkins, Test Case, Restful API, Serverless Computing, Generative AI, Command-Line Interface, Amazon Web Services, Software Testing, Maintainability, Prometheus (Software), ChatGPT, System Monitoring, MLOps (Machine Learning Operations), Data Structures
4
Rating, 4 out of 5 stars
199 reviews
Beginner · Specialization · 3 - 6 Months
Fractal Analytics
Quantum Computing For Everyone - An Introduction
Skills you'll gain: Computer Science, IBM Cloud, Algorithms, Data Ethics, Computational Thinking, Artificial Intelligence, Linear Algebra, Programming Principles, Emerging Technologies, Cryptography, Physics, Probability & Statistics
4
Rating, 4 out of 5 stars
61 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
University of Florida
The Horse Course: Introduction to Basic Care and Management
Skills you'll gain: Health Care, Preventative Care, Behavior Management, Anatomy, Vital Signs, Health Assessment, First Aid, Communication
4.9
Rating, 4.9 out of 5 stars
969 reviews
Mixed · Course · 1 - 3 Months
University of Pennsylvania
A Crash Course in Causality: Inferring Causal Effects from Observational Data
Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Statistical Inference, Data Analysis, Quantitative Research, Probability & Statistics, Regression Analysis, Research Design, Graph Theory
4.7
Rating, 4.7 out of 5 stars
564 reviews
Intermediate · Course · 1 - 3 Months
University of California, Irvine
Effective Problem-Solving and Decision-Making
Skills you'll gain: Creative Problem-Solving, Problem Solving, Brainstorming, Decision Making, Creative Thinking, Organizational Effectiveness, Critical Thinking and Problem Solving, Business Solutions, Key Performance Indicators (KPIs), Professional Development, Root Cause Analysis, Business Analysis, Open Mindset, Personal Development, Adaptability, Analytical Skills
4.6
Rating, 4.6 out of 5 stars
7.3K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
Coursera Project Network
Use WordPress to Create a Blog for your Business
Skills you'll gain: WordPress, Content Management Systems, Web Content, Editing, Business Writing, Content Creation, User Accounts, E-Commerce, Writing, Account Management, Content Management
4.5
Rating, 4.5 out of 5 stars
1.6K reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free
University of Minnesota
Fundamentals of Fluid Power
Skills you'll gain: Hydraulics, Mechanical Engineering, Schematic Diagrams, Simulation and Simulation Software, Engineering, Simulations, Engineering Analysis, Engineering Calculations, Mechanics, Mathematical Modeling, Systems Of Measurement, Matlab, Physics
4.8
Rating, 4.8 out of 5 stars
1.3K reviews
Mixed · Course · 1 - 3 Months
Status: Free
Commonwealth Education Trust
Foundations of Teaching for Learning: Being a Teacher
Skills you'll gain: Pedagogy, Communication Strategies, Teaching, Instructional Strategies, Classroom Management, Professional Development, Learning Styles, Self-Awareness, Cultural Diversity
4.6
Rating, 4.6 out of 5 stars
1K reviews
Mixed · Course · 1 - 3 Months
IBM
SQL for Data Science with R
Skills you'll gain: Relational Databases, Database Design, SQL, Database Management, Databases, Query Languages, Data Analysis, Exploratory Data Analysis, R Programming, Data Manipulation, Data Access
4.3
Rating, 4.3 out of 5 stars
174 reviews
Beginner · Course · 1 - 3 Months
IBM
IBM z/OS Mainframe Practitioner
Skills you'll gain: Virtualization, Unix, IBM DB2, Operating Systems, IBM Cloud, Data Management, Virtual Machines, Database Management Systems, Data Storage, Infrastructure Architecture, System Programming, Unix Commands, IT Infrastructure, System Monitoring, File Systems, Computer Architecture, Servers, Control Panels, Command-Line Interface, Computing Platforms
4.7
Rating, 4.7 out of 5 stars
1.3K reviews
Intermediate · Professional Certificate · 1 - 3 Months
S.P. Jain Institute of Management and Research
Data Analysis
Skills you'll gain: Data Analysis, Quantitative Research, Statistical Hypothesis Testing, Sampling (Statistics), Descriptive Statistics, Business Analytics, Regression Analysis, Data-Driven Decision-Making, Statistical Analysis, Probability Distribution, Microsoft Excel, Statistical Inference, Probability, Variance Analysis, Estimation
Build toward a degree
Beginner · Course · 1 - 3 Months
Status: Free
Universidad Nacional Autónoma de México
Estadística y probabilidad
Skills you'll gain: Descriptive Statistics, Statistics, Data Analysis, Statistical Methods, Correlation Analysis, Statistical Analysis, Data Presentation, Probability, Data-Driven Decision-Making, Quantitative Research, Regression Analysis, Probability Distribution, Exploratory Data Analysis, Graphing
4.6
Rating, 4.6 out of 5 stars
1.7K reviews
Beginner · Course · 1 - 4 Weeks