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: Free
Coursera Instructor Network
Data Science for Professionals
Skills you'll gain: Predictive Modeling, Predictive Analytics, 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
13 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
University of Cape Town
Understanding Clinical Research: Behind the Statistics
Skills you'll gain:
4.8
Rating, 4.8 out of 5 stars
3.6K reviews
Beginner · Course · 1 - 3 Months
Status: Free
The University of Edinburgh
Data Science in Stratified Healthcare and Precision Medicine
Skills you'll gain: Bioinformatics, Image Analysis, Medical Science and Research, Big Data, Statistical Methods, Data Science, Data Mining, Statistical Modeling, Health Care, Machine Learning, Natural Language Processing, Probability & Statistics, Data Analysis, Text Mining, Unstructured Data, Data Processing, Data Integration, Network Analysis, Supervised Learning
4.6
Rating, 4.6 out of 5 stars
333 reviews
Intermediate · Course · 1 - 3 Months
University of Colorado Boulder
Introduction to Data Analytics for Business
Skills you'll gain: Data Governance, Analytics, Business Analytics, Data Storage, Data Management, Big Data, Databases, Business Intelligence, Data Analysis, Relational Databases, Information Systems, Data Quality, SQL, Organizational Structure, Cloud Computing, Data Manipulation
4.7
Rating, 4.7 out of 5 stars
3.1K reviews
Beginner · Course · 1 - 4 Weeks
University of Pennsylvania
Data Analysis Using Python
Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Data Science, Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Manipulation, Scatter Plots, NumPy, Data Quality, Jupyter, Data Import/Export, Histogram, Python Programming, Programming Principles
4.5
Rating, 4.5 out of 5 stars
416 reviews
Beginner · Course · 1 - 4 Weeks
IBM
IBM AI Foundations for Business
Skills you'll gain: Data Mining, Artificial Intelligence, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Information Architecture, Strategic Decision-Making, Cloud Computing, Data Analysis, Data Science, Deep Learning, Digital Transformation, Data Strategy, Data-Driven Decision-Making, Artificial Neural Networks, Business Strategy, Business Process Automation, Technology Strategies, Governance
4.7
Rating, 4.7 out of 5 stars
92K reviews
Beginner · Specialization · 1 - 3 Months
Johns Hopkins University
Command Line Tools for Genomic Data Science
Skills you'll gain: Unix Commands, Bioinformatics, Unix Shell, Unix, Data Management, Command-Line Interface, Big Data, Data Manipulation, File Management, Life Sciences
4
Rating, 4 out of 5 stars
560 reviews
Mixed · Course · 1 - 4 Weeks
Google
Google Data Analytics Capstone: Complete a Case Study
Skills you'll gain: Interviewing Skills, Data Analysis, Data Processing, Analytical Skills, Artificial Intelligence, Business Analytics, R Programming, Data-Driven Decision-Making, Data Storytelling, Project Documentation, Presentations, Portfolio Management, Communication
4.8
Rating, 4.8 out of 5 stars
18K reviews
Beginner · Course · 1 - 4 Weeks
Duke University
Bayesian Statistics
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Probability Distribution
3.8
Rating, 3.8 out of 5 stars
796 reviews
Intermediate · Course · 1 - 3 Months
IBM
AI Foundations for Everyone
Skills you'll gain: ChatGPT, Generative AI, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, IBM Cloud, Private Cloud, Data Loss Prevention, Deep Learning, WordPress, Artificial Neural Networks, Cloud Services, Application Deployment, Governance, Machine Learning, Business Transformation, Ethical Standards And Conduct, Software Development Tools, Image Analysis
4.7
Rating, 4.7 out of 5 stars
25K reviews
Beginner · Specialization · 3 - 6 Months
University of Michigan
Python Data Structures
Skills you'll gain: Data Structures, Python Programming, Data Manipulation, Development Environment, File Management, Data Analysis, Computer Programming, Software Installation
4.9
Rating, 4.9 out of 5 stars
97K reviews
Beginner · Course · 1 - 3 Months
University of Michigan
Programming for Everybody (Getting Started with Python)
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Computational Thinking, Software Installation, Development Environment
4.8
Rating, 4.8 out of 5 stars
231K reviews
Beginner · Course · 1 - 3 Months