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

Automatic Data Processing, Inc. (ADP)
ADP Entry-Level Payroll Specialist
Skills you'll gain: Payroll, Payroll Processing, Payroll Systems, Payroll Administration, Payroll Tax, Payroll Reporting, Compensation Strategy, Tax Management, Data Entry, Employee Onboarding, Labor Compliance, Human Resource Strategy, Compensation Management, Non-Profit Accounting, Tax Compliance, Human Resources, Benefits Administration, Specialized Accounting, Record Keeping, Accounting
4.7
Rating, 4.7 out of 5 stars
426 reviews
Beginner · Professional Certificate · 3 - 6 Months
University of Alberta
Reinforcement Learning
Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Solution Architecture, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Supervised Learning, Algorithms, Performance Testing, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution, Debugging
4.7
Rating, 4.7 out of 5 stars
3.5K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free
University of Arizona
Astronomy: Exploring Time and Space
Skills you'll gain: Physical Science, Physics, Engineering, Scientific, and Technical Instruments, Ancient History, Chemistry, General Science and Research, Scientific Methods, Scientific Visualization, Research, Simulations
4.8
Rating, 4.8 out of 5 stars
3.9K reviews
Beginner · Course · 1 - 3 Months
University of California, Irvine
Initiating and Planning Projects
Skills you'll gain: Stakeholder Management, Conflict Management, Project Management, Project Planning, Project Management Life Cycle, Project Documentation, Project Scoping, Project Coordination, Organizational Structure, Influencing
4.7
Rating, 4.7 out of 5 stars
23K reviews
Mixed · Course · 1 - 3 Months
University of Colorado Boulder
Advanced Business Analytics
Skills you'll gain: Data Storytelling, Data Presentation, Data Governance, Data Visualization, Predictive Analytics, Analytics, Business Analytics, Data Storage, Data Management, Big Data, Risk Analysis, Databases, Data Modeling, Business Analysis, Business Intelligence, Data Visualization Software, Data Analysis, Decision Making, Data Cleansing, Predictive Modeling
4.6
Rating, 4.6 out of 5 stars
5.2K reviews
Intermediate · Specialization · 3 - 6 Months
Johns Hopkins University
Mastering Software Development in R
Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Datamaps, Visualization (Computer Graphics), Data Cleansing, Interactive Data Visualization, Data Transformation, Object Oriented Programming (OOP), GitHub, Version Control, Debugging, Functional Design
4.2
Rating, 4.2 out of 5 stars
1.5K reviews
Beginner · Specialization · 3 - 6 Months
Microsoft
Extract, Transform and Load Data in Power BI
Skills you'll gain: Extract, Transform, Load, Power BI, Data Validation, Data Transformation, Data Cleansing, Data Storage, Data Quality, Data Analysis, Data Integration, Data Storage Technologies, Business Intelligence
4.6
Rating, 4.6 out of 5 stars
845 reviews
Beginner · Course · 1 - 4 Weeks
The University of North Carolina at Chapel Hill
Positive Psychology
Skills you'll gain: Positivity, Resilience, Personal Development, Emotional Intelligence, Adaptability, Relationship Building, Psychology, Creativity, Mindfulness, Community Health
4.7
Rating, 4.7 out of 5 stars
6K reviews
Mixed · Course · 1 - 3 Months
Status: Free
Coursera Project Network
Using Basic Formulas and Functions in Microsoft Excel
Skills you'll gain: Excel Formulas, Spreadsheet Software, Microsoft Excel, Microsoft 365, Data Analysis Software, Gross Profit, Business Mathematics
4.6
Rating, 4.6 out of 5 stars
2.2K reviews
Beginner · Guided Project · Less Than 2 Hours
University of Illinois Urbana-Champaign
Financial Management
Skills you'll gain: Mergers & Acquisitions, Working Capital, Revenue Recognition, Financial Statements, Credit Risk, Accrual Accounting, Financial Analysis, Investments, Corporate Finance, Business Valuation, Financial Statement Analysis, Cash Flows, Financial Accounting, Bookkeeping, Financial Management, Income Statement, Business Ethics, Finance, Return On Investment, Portfolio Management
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
6.8K reviews
Intermediate · Specialization · 3 - 6 Months
University of California, Davis
Critical Thinking Skills for the Professional
Skills you'll gain: Problem Solving, Brainstorming, Critical Thinking, Creative Thinking, Constructive Feedback, Decision Making, Analysis, Cognitive flexibility, Self-Awareness, Collaboration
4.8
Rating, 4.8 out of 5 stars
1.1K reviews
Beginner · Course · 1 - 4 Weeks
IBM
Introduction to Software Engineering
Skills you'll gain: Software Development Life Cycle, Development Environment, Software Engineering, Software Development Tools, Software Development Methodologies, Software Architecture, Software Design, Programming Principles, Unified Modeling Language, Agile Methodology, Software Development, Scrum (Software Development), Application Development, Back-End Web Development, Front-End Web Development, Computer Programming, Python Programming, Git (Version Control System)
4.7
Rating, 4.7 out of 5 stars
3.2K reviews
Beginner · Course · 1 - 3 Months