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

University of Michigan
Programming for Everybody (Getting Started with Python)
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Software Installation, Development Environment
4.8
Rating, 4.8 out of 5 stars
231K reviews
Beginner · Course · 1 - 3 Months
Status: Free
The University of Edinburgh
Data Science in Stratified Healthcare and Precision Medicine
Skills you'll gain: Precision Medicine, Bioinformatics, Image Analysis, Medical Imaging, Big Data, Health Informatics, Statistical Methods, Data Science, Machine Learning, Natural Language Processing, Probability & Statistics, Data Analysis, Molecular Biology, Network Analysis, Graph Theory, Healthcare Ethics
4.6
Rating, 4.6 out of 5 stars
334 reviews
Intermediate · Course · 1 - 3 Months
Status: New
University of Colorado Boulder
Introduction to Bayesian Statistics for Data Science
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Analytical Skills, Probability Distribution
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Command Line Tools for Genomic Data Science
Skills you'll gain: Unix Commands, Bioinformatics, Unix, Data Management, Command-Line Interface, Molecular Biology, Linux Commands, Big Data, File Management, Data Analysis Software, Data Processing
4
Rating, 4 out of 5 stars
562 reviews
Mixed · Course · 1 - 4 Weeks
Status: New
Status: AI skills
DeepLearning.AI
DeepLearning.AI Data Analytics
Skills you'll gain: Data Storytelling, Web Scraping, Google Sheets, Data Visualization, Data Presentation, Spreadsheet Software, Large Language Modeling, Dashboard, Pandas (Python Package), Interactive Data Visualization, Time Series Analysis and Forecasting, Probability & Statistics, Extract, Transform, Load, Statistical Analysis, Statistics, Statistical Modeling, Matplotlib, Data Visualization Software, Data Validation, Data Processing
4.7
Rating, 4.7 out of 5 stars
77 reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free
University of Amsterdam
Data Analytics for Lean Six Sigma
Skills you'll gain: Lean Six Sigma, Statistical Hypothesis Testing, Minitab, Regression Analysis, Data Visualization Software, Probability Distribution, Descriptive Statistics, Data Analysis, Statistical Analysis, Box Plots, Analytics, Process Improvement, Correlation Analysis, Variance Analysis
4.8
Rating, 4.8 out of 5 stars
3.4K reviews
Beginner · Course · 1 - 3 Months
University of California, Davis
SQL for Data Science
Skills you'll gain: Data Governance, SQL, Data Quality, Database Design, Query Languages, Data Manipulation, Data Modeling, Relational Databases, Data Analysis, Data Cleansing
4.6
Rating, 4.6 out of 5 stars
17K reviews
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
R Programming
Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Program Development, Data Structures, Performance Tuning, Data Import/Export
4.5
Rating, 4.5 out of 5 stars
22K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Coursera Instructor Network
Data Science for Professionals
Skills you'll gain: Predictive Modeling, Statistical Analysis, Data Manipulation, Data Analysis, Data Science, Pandas (Python Package), Data Visualization Software, Statistics, Data Cleansing, Data Processing, Data-Driven Decision-Making, Business Analytics, Exploratory Data Analysis, Machine Learning
4.5
Rating, 4.5 out of 5 stars
15 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
Eindhoven University of Technology
Process Mining: Data science in Action
Skills you'll gain: Process Analysis, Process Improvement, Business Process Management, Data Mining, Business Process Modeling, Process Optimization, Data Processing, Performance Analysis, Big Data, Real Time Data, Data Science, Verification And Validation
4.7
Rating, 4.7 out of 5 stars
1.2K reviews
Intermediate · Course · 1 - 3 Months
University of Michigan
Python Data Structures
Skills you'll gain: Data Structures, Python Programming, Programming Principles, Data Import/Export, Data Manipulation, Development Environment, File Management
4.9
Rating, 4.9 out of 5 stars
97K reviews
Beginner · Course · 1 - 3 Months
Duke University
Bayesian Statistics
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Data-Driven Decision-Making, Probability Distribution
3.8
Rating, 3.8 out of 5 stars
797 reviews
Intermediate · Course · 1 - 3 Months