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

University of Michigan
Python Data Structures
Skills you'll gain: Data Structures, Python Programming, Programming Principles, Data Import/Export, Data Manipulation, Development Environment, File Management
4.9
Rating, 4.9 out of 5 stars
97K reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Command Line Tools for Genomic Data Science
Skills you'll gain: Unix Commands, Bioinformatics, Unix, Data Management, Command-Line Interface, Molecular Biology, Linux Commands, Big Data, File Management, Data Analysis Software, Data Processing
4
Rating, 4 out of 5 stars
562 reviews
Mixed · Course · 1 - 4 Weeks
IBM
IBM Data Management
Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Data Governance, Data Security, Data Migration, Database Design, Data Literacy, Descriptive Statistics, Extract, Transform, Load, Data Mining, Cloud Storage, Data Visualization Software, Data Store, IBM DB2, Data Management, Relational Databases, MySQL, Excel Formulas
4.7
Rating, 4.7 out of 5 stars
17K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free
Coursera Instructor Network
Data Science for Professionals
Skills you'll gain: Predictive Modeling, Statistical Analysis, Data Manipulation, Data Analysis, Data Science, Pandas (Python Package), Data Visualization Software, Statistics, Data Cleansing, Data Processing, Data-Driven Decision-Making, Business Analytics, Exploratory Data Analysis, Machine Learning
4.5
Rating, 4.5 out of 5 stars
14 reviews
Beginner · Course · 1 - 4 Weeks
IBM
Data Analysis and Visualization Foundations
Skills you'll gain: Data Storytelling, Big Data, Data Visualization Software, Data Analysis, Dashboard, IBM Cognos Analytics, Statistical Analysis, Data Mining, Apache Hadoop, Tree Maps, Excel Formulas, Data Wrangling, Apache Hive, Data Collection, Data Mart, Microsoft Excel, Data Warehousing, Data Quality, Data Cleansing, Data Import/Export
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
27K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
University of Cape Town
Understanding Clinical Research: Behind the Statistics
Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Clinical Research, Statistical Analysis, Quantitative Research, Descriptive Statistics, Statistical Inference, Data Collection, Probability
4.8
Rating, 4.8 out of 5 stars
3.6K reviews
Beginner · Course · 1 - 3 Months
IIMA - IIM Ahmedabad
Pre-MBA Statistics
Skills you'll gain: Sampling (Statistics), Probability, Statistical Hypothesis Testing, Statistics, Data Literacy, Probability Distribution, Statistical Methods, Statistical Inference, Estimation, Descriptive Statistics, Data Analysis
4.6
Rating, 4.6 out of 5 stars
279 reviews
Beginner · Course · 1 - 3 Months
Duke University
Introduction to Probability and Data with R
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Software, Descriptive Statistics
4.7
Rating, 4.7 out of 5 stars
5.8K reviews
Beginner · Course · 1 - 3 Months
University of Colorado System
Clinical Data Science
Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Extract, Transform, Load, Data Modeling, Clinical Research, R Programming, Data Manipulation, Predictive Modeling, Database Design, Google Cloud Platform, Intensive Care Unit, Data Ethics, Data Quality, Risk Modeling, Natural Language Processing, Health Informatics, Statistical Modeling, Bioinformatics, Text Mining, Data Processing
4.5
Rating, 4.5 out of 5 stars
468 reviews
Intermediate · Specialization · 3 - 6 Months
Johns Hopkins University
R Programming
Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Program Development, Data Structures, Performance Tuning, Data Import/Export
4.5
Rating, 4.5 out of 5 stars
22K reviews
Intermediate · Course · 1 - 4 Weeks
IBM
IBM Data Warehouse Engineer
Skills you'll gain: Data Warehousing, SQL, Extract, Transform, Load, Apache Airflow, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store, IBM DB2, Relational Databases, Dashboard, File Management, Star Schema
4.7
Rating, 4.7 out of 5 stars
6K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: New
University of Colorado Boulder
Introduction to Bayesian Statistics for Data Science
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Analytical Skills, Probability Distribution
Intermediate · Course · 1 - 3 Months