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 Trial
Georgia Institute of Technology
Speak English Professionally: In Person, Online & On the Phone
Skills you'll gain: Verbal Communication Skills, Cultural Sensitivity, Public Speaking, English Language, Vocabulary, Business Communication, Communication, Interpersonal Communications, Social Skills, Professionalism, Active Listening, Grammar
4.7
Rating, 4.7 out of 5 stars
10K reviews
Mixed · Course · 1 - 3 Months
Status: New
Status: Free Trial
Illinois Tech
Data Analytics and Deep Learning
Skills you'll gain: NoSQL, Machine Learning Algorithms, Big Data, Apache Hadoop, Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Data Presentation, Generative AI, Data Infrastructure, Data Cleansing, Real Time Data, Apache Kafka, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Artificial Intelligence and Machine Learning (AI/ML)
Build toward a degree
4.5
Rating, 4.5 out of 5 stars
25 reviews
Intermediate · Specialization · 3 - 6 Months
Status: New
Status: Free Trial
Snowflake
Snowflake Data Engineering
Skills you'll gain: Data Pipelines, Database Management, Data Manipulation, Databases, Data Transformation, Extract, Transform, Load, Data Lakes, Data Warehousing, DevOps, Data Integration, SQL, Cloud Applications, CI/CD, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Data Import/Export, Role-Based Access Control (RBAC), Stored Procedure, Command-Line Interface
4.8
Rating, 4.8 out of 5 stars
183 reviews
Beginner · Professional Certificate · 1 - 3 Months
Coursera Project Network
Understanding Basic SQL Syntax
Skills you'll gain: SQL, Query Languages, Data Access, Relational Databases, Data Manipulation
4.7
Rating, 4.7 out of 5 stars
303 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: New
Status: Free Trial
Illinois Tech
Data Analytics and Big Data
Skills you'll gain: Database Design, Relational Databases, Database Application, Database Systems, Database Management, NoSQL, Database Theory, Databases, Database Development, Machine Learning Algorithms, SQL, Big Data, Apache Hadoop, Database Management Systems, MySQL, Statistical Analysis, Data Visualization, Data Analysis, Apache Spark, Data Modeling
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
63 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
DeepLearning.AI
Convolutional Neural Networks in TensorFlow
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Computer Vision, Image Analysis, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Supervised Learning, Data Processing
4.7
Rating, 4.7 out of 5 stars
8.2K reviews
Intermediate · Course · 1 - 4 Weeks
Nanjing University
Data Processing Using Python
Skills you'll gain: Data Processing, Data Mining, Data Structures, Data Presentation, Object Oriented Programming (OOP), Web Scraping, Data Analysis, Python Programming, Pandas (Python Package), NumPy, Data Visualization, Data Import/Export, Data Manipulation, Matplotlib, User Interface (UI) Design
4.1
Rating, 4.1 out of 5 stars
374 reviews
Beginner · Course · 1 - 3 Months
Status: New
Packt
The Complete Tableau Bootcamp for Aspiring Data Scientists
Skills you'll gain: Tableau Software, Dashboard, Data Visualization Software, Interactive Data Visualization, Data Storytelling, Graphing, Data Manipulation, Scatter Plots, Data Analysis, Data Modeling, Data Transformation, Software Installation
Beginner · Course · 1 - 3 Months
University of Michigan
Mindware: Critical Thinking for the Information Age
Skills you'll gain: Data Analysis, Statistics, Analytical Skills, Experimentation, Critical Thinking, Research Design, Behavioral Economics, Decision Making, Regression Analysis, Probability, Correlation Analysis
4.8
Rating, 4.8 out of 5 stars
1.4K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Algorithms for Searching, Sorting, and Indexing
Skills you'll gain: Data Structures, Algorithms, Computational Thinking, Analysis, Big Data, Probability & Statistics
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
494 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
IBM
GenAI for Executives & Business Leaders: An Introduction
Skills you'll gain: Generative AI, Data Ethics, Artificial Intelligence, Business Transformation, Business Leadership, Business Ethics, Governance, Digital Transformation, Data-Driven Decision-Making, Business Strategies, Customer experience improvement, Customer Service
4.7
Rating, 4.7 out of 5 stars
394 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Google
Conduct UX Research and Test Early Concepts
Skills you'll gain: UI/UX Research, Usability Testing, User Experience Design, Usability, Presentations, User Research, User Experience, Design Research, Research Design, User Centered Design, Research Methodologies, Prototyping, Interviewing Skills, Information Privacy
4.8
Rating, 4.8 out of 5 stars
5.9K reviews
Beginner · Course · 1 - 4 Weeks