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

Microsoft
Data Modeling in Power BI
Skills you'll gain: Data Analysis Expressions (DAX), Data Modeling, Star Schema, Power BI, Database Design, Data Warehousing, Business Intelligence, Data Analysis, Time Series Analysis and Forecasting, Performance Tuning
4.3
Rating, 4.3 out of 5 stars
674 reviews
Beginner · Course · 1 - 4 Weeks
Vanderbilt University
Prompt Engineering for Law
Skills you'll gain: ChatGPT, Generative AI, OpenAI, Artificial Intelligence, Personalized Service, Data Ethics, Expense Management, Artificial Intelligence and Machine Learning (AI/ML), Creative Thinking, Productivity Software, Creativity, Digital Transformation, Business Process Automation, Expense Reports, Innovation, Natural Language Processing, Law, Regulation, and Compliance, Test Case, Scenario Testing, Information Privacy
4.8
Rating, 4.8 out of 5 stars
5.8K reviews
Beginner · Specialization · 1 - 3 Months
University of Colorado Boulder
Statistical Inference for Estimation in Data Science
Skills you'll gain: Statistical Inference, Statistical Methods, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Data Science, Probability Distribution
4.1
Rating, 4.1 out of 5 stars
87 reviews
Intermediate · Course · 1 - 3 Months
Microsoft
Harnessing the Power of Data with Power BI
Skills you'll gain: Power BI, Data-Driven Decision-Making, Data Analysis, Microsoft Power Platform, Data Collection, Business Intelligence, Business Analytics, Data Transformation, Microsoft 365
4.6
Rating, 4.6 out of 5 stars
1.5K reviews
Beginner · Course · 1 - 4 Weeks
IBM
Generative AI for Data Scientists
Skills you'll gain: ChatGPT, Generative AI, Exploratory Data Analysis, Data Ethics, OpenAI, Feature Engineering, Predictive Modeling, Artificial Intelligence, IBM Cloud, Data Storytelling, Data Modeling, Artificial Intelligence and Machine Learning (AI/ML), Predictive Analytics, Data Science, Data Analysis, Data Transformation, Data Visualization Software, Software Development Tools, Image Analysis, Technical Communication
4.7
Rating, 4.7 out of 5 stars
6K reviews
Intermediate · Specialization · 1 - 3 Months
The Hong Kong University of Science and Technology
Business English for Non-Native Speakers
Skills you'll gain: Interviewing Skills, Business Communication, Business Ethics, Data Visualization, Presentations, Target Audience, Report Writing, Business Writing, Business Analysis, Analysis, Communication Strategies, Communication, Verbal Communication Skills, Intercultural Competence, Public Speaking, Cultural Diversity, Strategic Communication, Grammar, Persuasive Communication, Media and Communications
4.5
Rating, 4.5 out of 5 stars
2.5K reviews
Beginner · Specialization · 3 - 6 Months
IBM
Data Warehouse Fundamentals
Skills you'll gain: Data Warehousing, Extract, Transform, Load, Star Schema, IBM DB2, Data Modeling, Snowflake Schema, PostgreSQL, Database Design, Data Architecture, Data Mart, Data Lakes, Data Validation, Data Integration, SQL, Data Cleansing, Query Languages, Data Quality
4.5
Rating, 4.5 out of 5 stars
226 reviews
Intermediate · Course · 1 - 4 Weeks
Dartmouth College
Environmental Science
Skills you'll gain: Environment, Environmental Issue, Environment and Resource Management, Water Resources, Environmental Monitoring, Natural Resource Management, Life Sciences, Pollution Prevention, Physical Science, Systems Thinking
4.7
Rating, 4.7 out of 5 stars
259 reviews
Beginner · Course · 1 - 4 Weeks
Macquarie University
Excel Skills for Business: Intermediate II
Skills you'll gain: Excel Formulas, Microsoft Excel, Excel Macros, Data Validation, Spreadsheet Software, Data Modeling, Financial Modeling, Workflow Management, Data Integrity, Automation, Data Security
4.8
Rating, 4.8 out of 5 stars
8.3K reviews
Intermediate · Course · 1 - 3 Months
Duke University
Excel to MySQL: Analytic Techniques for Business
Skills you'll gain: Data Storytelling, Database Design, Dashboard, MySQL, Relational Databases, SQL, Tableau Software, Business Analytics, Business Metrics, Data Visualization Software, Data Visualization, Business Process Improvement, Business Intelligence, Financial Modeling, Interactive Data Visualization, Microsoft Excel, Excel Formulas, Business Process, Probability Distribution, Business Risk Management
4.6
Rating, 4.6 out of 5 stars
15K reviews
Beginner · Specialization · 3 - 6 Months
Microsoft
Data for Business Analysts Using Microsoft Excel
Skills you'll gain: Excel Formulas, Microsoft Excel, Pivot Tables And Charts, Spreadsheet Software, Data Analysis, Data Presentation, Business Metrics, Data Cleansing, Data Manipulation
4.6
Rating, 4.6 out of 5 stars
188 reviews
Beginner · Course · 1 - 3 Months
Google
Google AI Essentials
Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Productivity Software, Artificial Intelligence, Data Ethics, Security Awareness, Business Workflow Analysis, Innovation, Automation, Workflow Management, Information Privacy, Human Computer Interaction, Content Creation, Natural Language Processing, Complex Problem Solving
4.7
Rating, 4.7 out of 5 stars
11K reviews
Beginner · Course · 1 - 3 Months