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

Results for "statistics for data science"

University of Amsterdam
Methods and Statistics in Social Sciences
Skills you'll gain: Probability & Statistics, Statistical Tests, General Statistics, Correlation And Dependence, Statistical Programming, Basic Descriptive Statistics, Statistical Analysis, Research and Design, Data Analysis, Regression, Adaptability, Computational Thinking, Critical Thinking, People Analysis, Theoretical Computer Science, Writing, Probability Distribution, Problem Solving, R Programming, Experiment, Computer Programming
4.6
Rating, 4.6 out of 5 stars
7.5K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
Genentech
Data Sciences in Pharma - Patient Centered Outcomes Research
Skills you'll gain: Data Science
4.4
Rating, 4.4 out of 5 stars
8 reviews
Intermediate · Course · 1 - 4 Weeks
Illinois Tech
Linear Regression
Skills you'll gain: R Programming
Build toward a degree
4.5
Rating, 4.5 out of 5 stars
15 reviews
Intermediate · Course · 1 - 4 Weeks
SAS
Statistics with SAS
Skills you'll gain: Data Analysis, General Statistics, Probability & Statistics, Regression, SAS (Software), Statistical Analysis, Statistical Programming, Statistical Tests, Statistical Visualization, Data Model
4.7
Rating, 4.7 out of 5 stars
292 reviews
Intermediate · Course · 1 - 3 Months
University of Colorado Boulder
Text Marketing Analytics
Skills you'll gain: Machine Learning, Network Analysis, Python Programming
Build toward a degree
3.1
Rating, 3.1 out of 5 stars
15 reviews
Beginner · Specialization · 3 - 6 Months
University of Colorado System
Data Warehousing for Business Intelligence
Skills you'll gain: Data Warehousing, Data Management, Databases, Business Intelligence, Database Design, Data Model, Database Administration, Business Analysis, SQL, Data Analysis, Data Architecture, Warehouse Management, Data Visualization, Leadership and Management, Systems Design, Extract, Transform, Load, Critical Thinking, Performance Management, Product Design, Solution Sales Engineering
4.5
Rating, 4.5 out of 5 stars
4K reviews
Advanced · Specialization · 3 - 6 Months
University of Illinois Urbana-Champaign
Health Data Science Foundation
2.9
Rating, 2.9 out of 5 stars
26 reviews
Advanced · Course · 1 - 4 Weeks
University of Colorado Boulder
Algorithms for Searching, Sorting, and Indexing
Skills you'll gain: Theoretical Computer Science, Algorithms, Data Structures, Computer Programming, Python Programming
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
386 reviews
Intermediate · Course · 1 - 4 Weeks
IBM
Data Scientist Career Guide and Interview Preparation
Skills you'll gain: Professional Development
4.8
Rating, 4.8 out of 5 stars
145 reviews
Beginner · Course · 1 - 4 Weeks
Status: [object Object]
Google
Google Data Analytics
Skills you'll gain: Data Analysis, R Programming, SQL, Spreadsheet Software, Business Analysis, Business Communication, Data Visualization, Data Management, General Statistics, Big Data, Communication, Computer Programming, Data Science, Data Visualization Software, Databases, Exploratory Data Analysis, Extract, Transform, Load, Leadership and Management, Microsoft Excel, Problem Solving, Small Data, Statistical Programming, Tableau Software
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
157K reviews
Beginner · Professional Certificate · 3 - 6 Months
Microsoft
Microsoft Azure for Data Engineering
Skills you'll gain: Big Data, Cloud Computing, Cloud Platforms, Cloud Storage, Cloud-Based Integration, Data Architecture, Data Management, Data Warehousing, Databases, Microsoft Azure, Leadership and Management
4.5
Rating, 4.5 out of 5 stars
666 reviews
Intermediate · Course · 1 - 4 Weeks
Microsoft
Microsoft Azure Databricks for Data Engineering
Skills you'll gain: Data Architecture, Data Management, Extract, Transform, Load, Microsoft Azure, Distributed Computing Architecture, Big Data, Cloud Computing, Cloud Engineering, Cloud Storage, Data Warehousing, Python Programming
4
Rating, 4 out of 5 stars
130 reviews
Intermediate · Course · 1 - 3 Months