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

Macquarie University
Excel Skills for Data Analytics and Visualization
Skills you'll gain: Pivot Tables And Charts, Data Storytelling, Data Presentation, Power BI, Excel Formulas, Data Analysis Expressions (DAX), Data Visualization Software, Data Visualization, Interactive Data Visualization, Microsoft Excel, Spreadsheet Software, Dashboard, Data Modeling, Data Cleansing, Data Manipulation, Excel Macros, Infographics, Data Transformation, Data Validation, Data Warehousing
4.8
Rating, 4.8 out of 5 stars
5.6K reviews
Intermediate · Specialization · 3 - 6 Months
DeepLearning.AI
AI For Everyone
Skills you'll gain: Artificial Intelligence, Team Building, Machine Learning, Strategic Thinking, Data Science, Deep Learning, Business Ethics, Artificial Neural Networks, Business Transformation
4.8
Rating, 4.8 out of 5 stars
47K reviews
Beginner · Course · 1 - 4 Weeks
IBM
Data Engineering Foundations
Skills you'll gain: SQL, Web Scraping, Database Design, MySQL, Data Transformation, Extract, Transform, Load, IBM DB2, Relational Databases, Data Architecture, Jupyter, Data Pipelines, Big Data, Database Management, Data Warehousing, Data Governance, Databases, Stored Procedure, Data Manipulation, Automation, Python Programming
4.6
Rating, 4.6 out of 5 stars
55K reviews
Beginner · Specialization · 3 - 6 Months
Google
Foundations of Data Science
Skills you'll gain: Data Storytelling, Data Ethics, Data Analysis, Workflow Management, Data-Driven Decision-Making, Analytical Skills, Data Science, Technical Communication, Communication, Business, Business Workflow Analysis, Project Management, Stakeholder Communications, Professional Networking
4.7
Rating, 4.7 out of 5 stars
3.1K reviews
Advanced · Course · 1 - 3 Months
University of California, Davis
Learn SQL Basics for Data Science
Skills you'll gain: Data Governance, Presentations, Data Cleansing, Feature Engineering, SQL, Apache Spark, A/B Testing, Distributed Computing, Descriptive Statistics, Data Lakes, Data Quality, Data Storytelling, Peer Review, Exploratory Data Analysis, Data Manipulation, Data Pipelines, JSON, Statistical Analysis, Database Design, Query Languages
4.6
Rating, 4.6 out of 5 stars
18K reviews
Beginner · Specialization · 3 - 6 Months
Google
Ask Questions to Make Data-Driven Decisions
Skills you'll gain: Spreadsheet Software, Stakeholder Communications, Dashboard, Stakeholder Management, Data-Driven Decision-Making, Data Analysis, Analytical Skills, Data Presentation, Business Analysis, Quantitative Research, Systems Thinking
4.7
Rating, 4.7 out of 5 stars
34K reviews
Beginner · Course · 1 - 4 Weeks
IBM
Generative AI for Data Analysts
Skills you'll gain: Generative AI, ChatGPT, Data Storytelling, OpenAI, Analytics, Data Analysis, Dashboard, Data Ethics, Artificial Intelligence, IBM Cloud, Data Visualization Software, Artificial Intelligence and Machine Learning (AI/ML), SQL, Python Programming, Software Development Tools, Data Cleansing, Augmented and Virtual Reality (AR/VR), Deep Learning, Image Analysis, Technical Communication
4.7
Rating, 4.7 out of 5 stars
5.9K reviews
Intermediate · Specialization · 1 - 3 Months
University of California, Davis
SQL for Data Science
Skills you'll gain: Data Governance, SQL, Data Quality, Database Design, Query Languages, Data Manipulation, Data Modeling, Relational Databases, Data Science, Data Analysis, Descriptive Statistics
4.6
Rating, 4.6 out of 5 stars
17K reviews
Beginner · Course · 1 - 4 Weeks
Microsoft
Preparing Data for Analysis with Microsoft Excel
Skills you'll gain: Excel Formulas, Microsoft Excel, Spreadsheet Software, Power BI, Microsoft Power Platform, Data Analysis, Pivot Tables And Charts, Data Cleansing, Data Manipulation
4.7
Rating, 4.7 out of 5 stars
4.3K reviews
Beginner · Course · 1 - 4 Weeks
Status: New
DeepLearning.AI
DeepLearning.AI Data Analytics
Skills you'll gain: Data Storytelling, Google Sheets, Data Visualization, Data Presentation, Web Scraping, Spreadsheet Software, Dashboard, Tableau Software, Seaborn, Pandas (Python Package), Time Series Analysis and Forecasting, Probability & Statistics, Statistical Analysis, Statistics, Statistical Modeling, Matplotlib, Data Visualization Software, Databases, Data Manipulation, JSON
4.8
Rating, 4.8 out of 5 stars
37 reviews
Beginner · Professional Certificate · 3 - 6 Months
Johns Hopkins University
Python for Genomic Data Science
Skills you'll gain: Bioinformatics, Data Structures, Jupyter, Python Programming, Programming Principles, Scripting Languages, Scripting, Package and Software Management, Computer Programming, Data Manipulation, File Management
4.3
Rating, 4.3 out of 5 stars
1.8K reviews
Mixed · Course · 1 - 4 Weeks
Johns Hopkins University
Command Line Tools for Genomic Data Science
Skills you'll gain: Unix Commands, Bioinformatics, Unix, Data Management, Command-Line Interface, Linux Commands, Big Data, Shell Script, Data Manipulation, File Management
4
Rating, 4 out of 5 stars
560 reviews
Mixed · Course · 1 - 4 Weeks