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

IBM
Data Visualization and Dashboards with Excel and Cognos
Skills you'll gain: Data Storytelling, Data Visualization Software, Dashboard, IBM Cognos Analytics, Tree Maps, Scatter Plots, Pivot Tables And Charts, Microsoft Excel, Histogram
4.7
Rating, 4.7 out of 5 stars
4.2K reviews
Beginner · Course · 1 - 4 Weeks
Vanderbilt University
Prompt Engineering for ChatGPT
Skills you'll gain: Prompt Engineering, ChatGPT, Productivity, Generative AI, Artificial Intelligence, Large Language Modeling, Creative Thinking, Ingenuity, Brainstorming, Problem Solving, Application Development, Collaboration
4.8
Rating, 4.8 out of 5 stars
5.8K reviews
Beginner · Course · 1 - 3 Months
IBM
Generative AI for Human Resources (HR) Professionals
Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, HR Tech, Human Resources Software, Human Resources Management and Planning, OpenAI, Human Resources, Workforce Planning, Human Resource Strategy, Data Ethics, Large Language Modeling, Artificial Intelligence, Program Development, Employee Engagement, Image Analysis, Content Creation, Recruitment, Performance Appraisal, Employee Onboarding
4.7
Rating, 4.7 out of 5 stars
6.6K reviews
Intermediate · Specialization · 1 - 3 Months
IBM
Generative AI Fundamentals
Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, OpenAI, Data Ethics, Large Language Modeling, Leadership and Management, Business Leadership, Strategic Leadership, Business Ethics, Legal Risk, IBM Cloud, Google Cloud Platform, Artificial Intelligence, Program Development, Artificial Neural Networks, Business Development, Deep Learning, Content Creation, Business Transformation
4.7
Rating, 4.7 out of 5 stars
6.8K reviews
Beginner · Specialization · 3 - 6 Months
Johns Hopkins University
Exploratory Data Analysis
Skills you'll gain: Exploratory Data Analysis, Data Visualization, Plot (Graphics), Ggplot2, Dimensionality Reduction, Data Visualization Software, R Programming, Scatter Plots, Graphing, Box Plots, Data Analysis, Histogram, Statistical Analysis, Unsupervised Learning, Color Theory
4.7
Rating, 4.7 out of 5 stars
6.1K reviews
Mixed · 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, Cloud Services, Data Warehousing, Database Systems, Databases, NoSQL, Database Administration, Relational Databases, MySQL, Data Store, SQL, Cloud Storage, Database Management, Data Storage, Data Lakes, Database Theory
4.6
Rating, 4.6 out of 5 stars
825 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
The University of North Carolina at Chapel Hill
Research Data Management and Sharing
Skills you'll gain: Data Sharing, Data Management, File Management, Data Storage, Information Management, Data Strategy, Metadata Management, Data Governance, Document Management, Data Literacy, Data Quality, Data Integrity, Data Security, Version Control
4.7
Rating, 4.7 out of 5 stars
717 reviews
Mixed · Course · 1 - 3 Months
University of California San Diego
Data Structures
Skills you'll gain: Data Structures, Algorithms, Data Storage, Programming Principles, Computer Programming, C++ (Programming Language), Theoretical Computer Science, File Management
4.6
Rating, 4.6 out of 5 stars
5.5K reviews
Intermediate · Course · 1 - 3 Months
PwC
Data Analysis and Presentation Skills: the PwC Approach
Skills you'll gain: Analytics, Business Analytics, Data Analysis, Microsoft PowerPoint, Data Presentation, Presentations, Excel Formulas, Data-Driven Decision-Making, Dashboard, Data Storytelling, Business Intelligence, Microsoft Excel, Customer Analysis, Data Visualization, Data Visualization Software, Data Literacy, Big Data, Verbal Communication Skills, Data Cleansing, Spreadsheet Software
4.6
Rating, 4.6 out of 5 stars
11K reviews
Beginner · Specialization · 3 - 6 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
PwC
Data Visualization with Advanced Excel
Skills you'll gain: Data Presentation, Dashboard, Data Storytelling, Data Visualization Software, Microsoft Excel, Spreadsheet Software, Excel Formulas, Graphing, Pivot Tables And Charts, Data Modeling, Databases, Data Analysis, Simulation and Simulation Software
4.8
Rating, 4.8 out of 5 stars
3K reviews
Beginner · Course · 1 - 4 Weeks
Status: New AI skills
Google
Google IT Support
Skills you'll gain: Computer Networking, Package and Software Management, Network Security, Network Troubleshooting, Systems Administration, Cloud Infrastructure, Network Administration, IT Infrastructure, TCP/IP, Information Systems Security, File Systems, Microsoft Windows, Desktop Support, Network Protocols, Lightweight Directory Access Protocols, Cybersecurity, Encryption, Computer Hardware, Technical Support, Software Installation
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
202K reviews
Beginner · Professional Certificate · 3 - 6 Months