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"

Johns Hopkins University
Data Science Capstone
Skills you'll gain: Data Analysis, Natural Language Processing, R Programming, Exploratory Data Analysis, Human Learning, Machine Learning, Machine Learning Algorithms, Problem Solving, Statistical Machine Learning, Computer Programming
4.5
Rating, 4.5 out of 5 stars
1.2K reviews
Mixed · Course · 1 - 3 Months
Status: Free
Coursera Project Network
Data Science Challenge
Skills you'll gain: Computer Programming, Data Analysis, Data Science, Machine Learning, Python Programming
4.7
Rating, 4.7 out of 5 stars
130 reviews
Intermediate · Guided Project · Less Than 2 Hours
University of Colorado Boulder
Essential Linear Algebra for Data Science
Skills you'll gain: Algebra, Linear Algebra, Mathematics
4.4
Rating, 4.4 out of 5 stars
154 reviews
Intermediate · Course · 1 - 3 Months
Edureka
PySpark for Data Science
Skills you'll gain: Data Engineering, Machine Learning, Natural Language Processing
Intermediate · Specialization · 3 - 6 Months
University of Washington
Communicating Data Science Results
3.4
Rating, 3.4 out of 5 stars
142 reviews
Mixed · Course · 1 - 4 Weeks
University of Colorado Boulder
Algebra and Differential Calculus for Data Science
Skills you'll gain: Algebra, Mathematics, Calculus, Differential Equations, Mathematical Theory & Analysis, Plot (Graphics), Linear Algebra, Problem Solving, Applied Mathematics, Graph Theory
4.5
Rating, 4.5 out of 5 stars
226 reviews
Intermediate · Course · 1 - 3 Months
University of Colorado Boulder
The Structured Query Language (SQL)
Skills you'll gain: Databases, PostgreSQL, SQL, Data Management, Data Analysis, Problem Solving, Critical Thinking, Database Design, Data Structures, Database Administration, Database Application, Data Science
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
844 reviews
Beginner · Course · 1 - 3 Months
Status: [object Object]
IBM
IBM Data Analyst
Skills you'll gain: Python Programming, Microsoft Excel, Data Visualization, Spreadsheet Software, Data Analysis, Plot (Graphics), Exploratory Data Analysis, Statistical Visualization, Business Analysis, Business Communication, Communication, Databases, Human Resources, Planning, SQL, Data Management, Data Mining, Data Science, General Statistics, NoSQL, R Programming, Big Data, Cloud Computing, Computer Programming, Data Visualization Software, Interactive Data Visualization, Machine Learning, Machine Learning Algorithms, Probability & Statistics, Regression
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
85K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: [object Object]
Meta
Meta Data Analyst
Skills you'll gain: Basic Descriptive Statistics, Business Analysis, Communication, Computer Programming, Data Analysis, Data Management, Data Visualization, Databases, Experiment, General Statistics, Marketing, Probability & Statistics, Probability Distribution, Python Programming, Regression, SQL, Statistical Analysis, Statistical Programming, Statistical Tests, Storytelling, Tableau Software
4.7
Rating, 4.7 out of 5 stars
979 reviews
Beginner · Professional Certificate · 3 - 6 Months
Google
Prepare Data for Exploration
Skills you'll gain: Data Management, Data Analysis, Databases, Microsoft Excel, SQL, Spreadsheet Software
4.8
Rating, 4.8 out of 5 stars
21K reviews
Beginner · Course · 1 - 3 Months
University of California, Irvine
Intro to Analytic Thinking, Data Science, and Data Mining
Skills you'll gain: Business Analysis, Business Intelligence, Data Analysis, Data Mining, Exploratory Data Analysis
4.2
Rating, 4.2 out of 5 stars
142 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
The Hong Kong University of Science and Technology
Python and Statistics for Financial Analysis
Skills you'll gain: Basic Descriptive Statistics, Computer Programming, Data Analysis, Finance, Financial Analysis, Probability & Statistics, Python Programming, Statistical Analysis, Data Analysis Software, General Statistics, Data Visualization
4.4
Rating, 4.4 out of 5 stars
4.3K reviews
Intermediate · Course · 1 - 4 Weeks