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

Status: Free
Universidad Nacional Autónoma de México
Introducción a Data Science: Programación Estadística con R
Skills you'll gain: R Programming, Statistical Programming, Ggplot2, Data Manipulation, Simulations, Statistical Visualization, Data Science, Visualization (Computer Graphics), Data Processing, Graphing, Data Import/Export, Scripting, Software Installation
4.7
Rating, 4.7 out of 5 stars
8.5K reviews
Beginner · Course · 1 - 3 Months
IBM
Python Project for Data Engineering
Skills you'll gain: Web Scraping, Data Transformation, Extract, Transform, Load, Data Manipulation, SQL, Integrated Development Environments, Databases, Application Programming Interface (API), Code Review, Python Programming, Unit Testing, Style Guides
4.6
Rating, 4.6 out of 5 stars
758 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Johns Hopkins University
Business Analytics with Excel: Elementary to Advanced
Skills you'll gain: Regression Analysis, Microsoft Excel, Business Analytics, Risk Analysis, Business Process Modeling, Business Modeling, Data Modeling, Resource Allocation, Statistical Analysis, Mathematical Modeling, Process Optimization, Financial Analysis, Spreadsheet Software, Predictive Analytics, Transportation Operations
4.8
Rating, 4.8 out of 5 stars
3.7K reviews
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Exploratory Data Analysis
Skills you'll gain: Exploratory Data Analysis, Data Visualization, Ggplot2, Dimensionality Reduction, Data Visualization Software, R Programming, Graphing, Data Storytelling, Data Analysis, Statistical Analysis, Unsupervised Learning, Statistical Methods
4.7
Rating, 4.7 out of 5 stars
6.1K reviews
Mixed · Course · 1 - 4 Weeks
Google
The Path to Insights: Data Models and Pipelines
Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Data Warehousing, Databases, Performance Tuning, Data Pipelines, Database Systems, Data Integrity, Business Intelligence, Data Mart, Data Validation, Data Quality, SQL, Data Transformation, Performance Testing
4.7
Rating, 4.7 out of 5 stars
629 reviews
Advanced · Course · 1 - 4 Weeks
University of Michigan
Python 3 Programming
Skills you'll gain: Unified Modeling Language, JSON, Object Oriented Programming (OOP), Debugging, Object Oriented Design, Data Processing, Web Scraping, Unit Testing, Program Development, Python Programming, Data Import/Export, Restful API, Image Analysis, Data Manipulation, Jupyter, Maintainability, Data Structures, Software Engineering, File Management, Functional Design
4.8
Rating, 4.8 out of 5 stars
23K reviews
Beginner · Specialization · 3 - 6 Months
IBM
IBM & Darden Digital Strategy
Skills you'll gain: Strategic Thinking, Digital Transformation, Business Strategy, Cloud Computing Architecture, Competitive Analysis, Cloud Services, Business Transformation, Cloud Security, Cloud Infrastructure, Big Data, Cloud Platforms, Data Analysis, Statistical Analysis, Cloud Computing, Artificial Intelligence, Generative AI, Data Ethics, Apache Hadoop, Product Lifecycle Management, Business Technologies
4.7
Rating, 4.7 out of 5 stars
44K reviews
Beginner · Specialization · 3 - 6 Months
Status: New
IBM
IBM Relational Database Administrator
Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Administration, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Transformation, Data Architecture, Jupyter, Generative AI, Relational Databases, Database Design, Automation
4.6
Rating, 4.6 out of 5 stars
57K reviews
Intermediate · Professional Certificate · 3 - 6 Months
MathWorks
Practical Data Science with MATLAB
Skills you'll gain: Data Storytelling, Feature Engineering, Supervised Learning, Dimensionality Reduction, Data Integration, Interactive Data Visualization, Exploratory Data Analysis, Data Import/Export, Technical Communication, Data Analysis, Applied Machine Learning, Data Visualization Software, Matlab, Regression Analysis, Data Processing, Descriptive Statistics, Data Cleansing, Predictive Modeling, Statistical Methods, Data Science
4.8
Rating, 4.8 out of 5 stars
1K reviews
Beginner · Specialization · 3 - 6 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, Big Data, Target Market, Data Cleansing, Public Speaking, Spreadsheet Software
4.6
Rating, 4.6 out of 5 stars
11K reviews
Beginner · Specialization · 3 - 6 Months
Stanford University
Algorithms
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Computational Thinking, Network Analysis, Network Routing, Mathematical Theory & Analysis, Analysis, Probability, Design Strategies, Computer Science
4.8
Rating, 4.8 out of 5 stars
5.9K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free
Stanford University
Writing in the Sciences
Skills you'll gain: Grant Writing, Peer Review, Technical Writing, Technical Communication, Writing, Journals, Editing, Science and Research, Grammar, Proofreading, Storytelling, Data Ethics
4.9
Rating, 4.9 out of 5 stars
9.3K reviews
Beginner · Course · 1 - 3 Months