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

Google
Google IT Automation with Python
Skills you'll gain: Git (Version Control System), GitHub, Version Control, Cloud Services, Debugging, Puppet (Configuration Management Tool), Infrastructure as Code (IaC), Bash (Scripting Language), Configuration Management, CI/CD, Cloud Computing, Technical Communication, Docker (Software), Unit Testing, Scripting, Network Troubleshooting, Web Services, Python Programming, Restful API, Programming Principles
4.7
Rating, 4.7 out of 5 stars
48K reviews
Advanced · Professional Certificate · 3 - 6 Months
Meta
Introduction to Data Analytics
Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Cleansing, Data Modeling, Analytics, Data Analysis, Data Visualization, Data Validation, Exploratory Data Analysis, Data Quality, Data Manipulation, Generative AI, Data Collection
4.8
Rating, 4.8 out of 5 stars
823 reviews
Beginner · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Data Visualization
Skills you'll gain: Data Visualization Software, Data Presentation, Interactive Data Visualization, Data Storytelling, Dashboard, Tableau Software, Plot (Graphics), Scatter Plots, Data Mapping, Graphing
4.5
Rating, 4.5 out of 5 stars
1.4K reviews
Mixed · Course · 1 - 3 Months
Status: Free
University of Toronto
Learn to Program: The Fundamentals
Skills you'll gain: Programming Principles, Debugging, Software Documentation, Python Programming, Computer Programming, Program Development, Integrated Development Environments, Data Structures, File Management
4.7
Rating, 4.7 out of 5 stars
6.7K reviews
Beginner · Course · 1 - 3 Months
IBM
Applied Data Science with R
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Shiny (R Package), Data Wrangling, Dashboard, Exploratory Data Analysis, Relational Databases, Data Analysis, Ggplot2, Database Design, Data Presentation, SQL, Plot (Graphics), Leaflet (Software), Data Transformation, Database Management, Data Manipulation, Web Scraping, R Programming
4.5
Rating, 4.5 out of 5 stars
1.2K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
American Museum of Natural History
The Science of Stem Cells
Skills you'll gain: Medical Science and Research, Healthcare Ethics, Clinical Research, Life Sciences, Biology, Precision Medicine, Molecular Biology, Emerging Technologies, Laboratory Research, Ethical Standards And Conduct
4.7
Rating, 4.7 out of 5 stars
3.1K reviews
Intermediate · Course · 1 - 3 Months
Google
Foundations of User Experience (UX) Design
Skills you'll gain: Design Thinking, User Research, User Experience Design, User Centered Design, Usability, Web Content Accessibility Guidelines, Cross Platform Development, Prototyping, Wireframing, Sprint Planning
4.8
Rating, 4.8 out of 5 stars
73K reviews
Beginner · Course · 1 - 4 Weeks
DeepLearning.AI
Neural Networks and Deep Learning
Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Computer Vision, Machine Learning, Python Programming, Performance Tuning
4.9
Rating, 4.9 out of 5 stars
123K reviews
Intermediate · Course · 1 - 4 Weeks
Microsoft
Microsoft Azure Data Fundamentals DP-900 Exam Prep
Skills you'll gain: Azure Synapse Analytics, Microsoft Azure, Power BI, Databricks, Data Processing, Database Administration, Cloud Services, Data Warehousing, Database Systems, Databases, Dashboard, Data Architecture, NoSQL, Apache Spark, Relational Databases, MySQL, Data Store, SQL, Cloud Storage, Database Management
4.6
Rating, 4.6 out of 5 stars
821 reviews
Beginner · Specialization · 3 - 6 Months
Duke University
Excel to MySQL: Analytic Techniques for Business
Skills you'll gain: Data Storytelling, Database Design, Dashboard, MySQL, Relational Databases, SQL, Tableau Software, Business Analytics, Business Metrics, Data Visualization Software, Analytics, Data Visualization, Business Process Improvement, Business Intelligence, Financial Modeling, Microsoft Excel, Business Process, Probability Distribution, Business Risk Management, Predictive Modeling
4.6
Rating, 4.6 out of 5 stars
15K reviews
Beginner · Specialization · 3 - 6 Months
DeepLearning.AI
Introduction to Data Engineering
Skills you'll gain: Data Pipelines, Data Architecture, Requirements Analysis, Amazon Web Services, Data Warehousing, Data Processing, System Requirements, Extract, Transform, Load, Performance Tuning, Security Controls, Cloud Computing, Data Transformation, Scalability
4.8
Rating, 4.8 out of 5 stars
359 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Yale University
Moral Foundations of Politics
Skills you'll gain: Political Sciences, Policy Analysis, Social Justice, Social Sciences, European History, Law, Regulation, and Compliance, Governance, Ethical Standards And Conduct, Socioeconomics, Economics
4.9
Rating, 4.9 out of 5 stars
6K reviews
Mixed · Course · 1 - 3 Months