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

Arizona State University
Business English
Skills you'll gain: Meeting Facilitation, Sales Presentations, Brainstorming, Product Planning, Purchasing, Business Writing, Business Communication, Marketing Materials, Business Planning, Negotiation, Selling Techniques, Marketing Communications, Marketing Planning, Active Listening, Business Correspondence, Advertising, Telephone Skills, Promotional Strategies, Presentations, Procurement
4.7
Rating, 4.7 out of 5 stars
2.4K reviews
Intermediate · Specialization · 3 - 6 Months
Microsoft
Microsoft PL-300 Exam Preparation and Practice
Skills you'll gain: Power BI, Data Visualization Software, Data Storytelling, Data Modeling, Data Analysis, Business Intelligence, Microsoft Azure, Data Transformation, Data Cleansing, Data Management, Generative AI
4.6
Rating, 4.6 out of 5 stars
439 reviews
Beginner · Course · 1 - 3 Months
Databricks
Introduction to Computational Statistics for Data Scientists
Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Statistical Analysis, Statistical Machine Learning, Probability Distribution, Data Science, Markov Model, Simulations, Data Visualization, Probability & Statistics, Development Environment, Statistical Inference, Algorithms
4
Rating, 4 out of 5 stars
109 reviews
Beginner · Specialization · 1 - 3 Months
University of Michigan
Interactivity with JavaScript
Skills you'll gain: Javascript, Interactive Design, HTML and CSS, Web Design and Development, Web Content Accessibility Guidelines, Event-Driven Programming, Web Applications, User Interface (UI), Data Structures, Debugging
4.7
Rating, 4.7 out of 5 stars
7.3K reviews
Beginner · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
The Digital Marketing Revolution
Skills you'll gain: Marketing Management, Marketing, Strategic Marketing, Marketing Strategies, Consumer Behaviour, Global Marketing, Digital Transformation, MarTech, Digital Marketing, Analysis, Business Transformation, Innovation
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
1.7K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
Tel Aviv University
Understanding Plants - Part I: What a Plant Knows
Skills you'll gain: Scientific Methods, General Science and Research, Research, Life Sciences, Experimentation, Psychology, Environment, Anatomy
4.8
Rating, 4.8 out of 5 stars
1.9K reviews
Beginner · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Digital Marketing Analytics in Practice
Skills you'll gain: Data Storytelling, Data Visualization, Marketing Analytics, Data Presentation, Google Analytics, Web Analytics, Analytics, Business Analytics, Trend Analysis, Digital Marketing, Data Analysis, Marketing, Consumer Behaviour, Data Collection, Advertising
Build toward a degree
4.5
Rating, 4.5 out of 5 stars
3.3K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
Università Bocconi
Financing and Investing in Infrastructure
Skills you'll gain: Project Finance, Risk Analysis, Capital Budgeting, Financial Analysis, Investment Banking, Private Equity, Lending and Underwriting, Credit Risk, Risk Management, Investments, Finance, Loans, Contract Management, Financial Management, Banking
4.8
Rating, 4.8 out of 5 stars
2K reviews
Mixed · Course · 1 - 3 Months
Status: Free
Universiteit Leiden
International Law in Action: the Arbitration of International Disputes
Skills you'll gain: Diplomacy, International Relations, Political Sciences, Conflict Management, Law, Regulation, and Compliance
4.8
Rating, 4.8 out of 5 stars
1.3K reviews
Mixed · Course · 1 - 3 Months
University of Michigan
Building Web Applications in PHP
Skills you'll gain: PHP (Scripting Language), Hypertext Markup Language (HTML), MySQL, Web Applications, Web Development, Cascading Style Sheets (CSS), Development Environment, Back-End Web Development, Database Development, Web Servers, Application Security, Software Installation, Data Validation
4.7
Rating, 4.7 out of 5 stars
4.3K reviews
Intermediate · Course · 1 - 3 Months
Duke University
Data Science with NumPy, Sets, and Dictionaries
Skills you'll gain: NumPy, Data Structures, Data Analysis, Object Oriented Programming (OOP), Image Analysis, Data Science, Text Mining, Algorithms, Data Manipulation, Performance Tuning, Python Programming
3.5
Rating, 3.5 out of 5 stars
13 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
Universitat de Barcelona
Magic in the Middle Ages
Skills you'll gain: Culture, Research, Investigation, Cultural Diversity, Liberal Arts, Science and Research, Social Sciences
4.6
Rating, 4.6 out of 5 stars
1.7K reviews
Beginner · Course · 1 - 3 Months