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

Results for "statistics for data science"

Coursera Project Network
Change Leadership: Strategic Route Analysis with Miro
Skills you'll gain: Change Management, Visionary, Organizational Change, Business Transformation, Strategic Leadership, Innovation, Process Analysis, Organizational Leadership, Business Systems Analysis, Adaptability
4.6
Rating, 4.6 out of 5 stars
34 reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free
DeepLearning.AI
AI Agentic Design Patterns with AutoGen
Skills you'll gain: Generative AI, ChatGPT, OpenAI, Artificial Intelligence, Software Design Patterns, Software Architecture, Technical Design, Application Frameworks, Computer Programming
4.2
Rating, 4.2 out of 5 stars
13 reviews
Beginner · Project · Less Than 2 Hours
Coursera Project Network
Create a Tic-Tac-Toe game in Python
Skills you'll gain: Cross Platform Development, Event-Driven Programming, Computer Graphics, Computer Graphic Techniques, Python Programming, Application Development, User Interface (UI), Computer Programming
4.6
Rating, 4.6 out of 5 stars
36 reviews
Intermediate · Guided Project · Less Than 2 Hours
Coursera Project Network
Launch an auto-scaling AWS EC2 virtual machine
Skills you'll gain: Amazon Elastic Compute Cloud, Amazon Web Services, Virtual Machines, Infrastructure As A Service (IaaS), Scalability, Verification And Validation, Cloud Computing, Capacity Management
4.6
Rating, 4.6 out of 5 stars
55 reviews
Intermediate · Guided Project · Less Than 2 Hours
University of Maryland, College Park
Storytelling and Persuading with Data and Digital Technology
Skills you'll gain: Data Storytelling, Digital Transformation, Persuasive Communication, Data Science, Storytelling, Influencing, Data-Driven Decision-Making, Data Analysis, Public Speaking, Customer Engagement, Presentations, Analytics, Customer Insights, Technology Strategies, Microsoft PowerPoint
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Thriving 101: Designing a Fulfilling Life & Career
Skills you'll gain: Goal Setting, Personal Development, Strategic Planning, Self-Awareness, Optimism, Time Management, Growth Mindedness, Emotional Intelligence, Creative Thinking, Professional Development, Communication
Beginner · Course · 1 - 3 Months
Coursera Project Network
Using MySQL Database with PHP
Skills you'll gain: Database Management, Relational Databases, MySQL, PHP (Scripting Language), SQL, Databases, Object Oriented Programming (OOP), Web Development, Full-Stack Web Development, Hypertext Markup Language (HTML), Back-End Web Development, Data Access
4.7
Rating, 4.7 out of 5 stars
18 reviews
Intermediate · Guided Project · Less Than 2 Hours
DeepLearning.AI
الشبكات العصبية والتعلم العميق
Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Machine Learning, Network Architecture, Machine Learning Algorithms
4.3
Rating, 4.3 out of 5 stars
11 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
University of Michigan
Leveraging Generative AI for Social Impact Organizations
Skills you'll gain: Generative AI, Workflow Management, Service Improvement, Resource Utilization, Business Process Automation, Instructing, Press Releases, Copywriting, Presentations, Continuous Improvement Process, Artificial Intelligence, Content Creation, Business Ethics, Web Content, Content Management, Data Management
4.4
Rating, 4.4 out of 5 stars
8 reviews
Beginner · Course · 1 - 3 Months
Politecnico di Milano
Developing FPGA-accelerated cloud applications with SDAccel: Practice
Skills you'll gain: Amazon Elastic Compute Cloud, Cloud Applications, Bioinformatics, Cloud Computing Architecture, Cloud Computing, Algorithms, Development Environment, Amazon Web Services, Performance Tuning, Hardware Architecture, Application Development
4.4
Rating, 4.4 out of 5 stars
26 reviews
Intermediate · Course · 1 - 3 Months
University of Colorado System
Kalman Filter Boot Camp (and State Estimation)
Skills you'll gain: Linear Algebra, Mathematical Modeling, Matlab, Statistical Modeling, Simulations, Applied Mathematics, Probability & Statistics, System Implementation
4.8
Rating, 4.8 out of 5 stars
9 reviews
Intermediate · Course · 1 - 4 Weeks
IBM
Learn Enterprise Data Storage with IBM Storage Scale
Skills you'll gain: Disaster Recovery, Remote Access Systems, Performance Tuning, Linux Administration, Data Storage, Systems Administration, File Systems, Information Management, Data Infrastructure, Software Installation, Data Access, File Management, System Monitoring, Servers, Data Management, Data Integrity, Linux, Network Planning And Design, Distributed Computing, Data Storage Technologies
5
Rating, 5 out of 5 stars
11 reviews
Beginner · Specialization · 3 - 6 Months