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 Illinois Urbana-Champaign
Data Mining
Skills you'll gain: Data Visualization, Data Visualization Software, Text Mining, Data Presentation, Interactive Data Visualization, Data Storytelling, Dashboard, Visualization (Computer Graphics), Tableau Software, Data Mining, Plot (Graphics), Natural Language Processing, Unsupervised Learning, Unstructured Data, Statistical Analysis, Graphing, Analytics, Machine Learning Algorithms, Big Data, Data Analysis
4.5
Rating, 4.5 out of 5 stars
2.9K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free
University of Cape Town
Understanding Clinical Research: Behind the Statistics
Skills you'll gain:
4.8
Rating, 4.8 out of 5 stars
3.6K reviews
Beginner · Course · 1 - 3 Months
Macquarie University
Excel Skills for Business
Skills you'll gain: Microsoft Excel, Dashboard, Excel Formulas, Spreadsheet Software, Data Visualization, Excel Macros, Data Validation, Data Analysis Expressions (DAX), Data Cleansing, Data Modeling, Business Intelligence, Financial Modeling, Workflow Management, Data Management, Microsoft 365, Consolidation, Data Integrity, Data Entry, Business Reporting, Productivity Software
4.9
Rating, 4.9 out of 5 stars
62K reviews
Beginner · Specialization · 3 - 6 Months
University of California San Diego
Code Free Data Science
Skills you'll gain: Predictive Modeling, Data Manipulation, Predictive Analytics, Big Data, Data Mining, Data Transformation, Data Analysis, Data Science, Data-Driven Decision-Making, Unsupervised Learning, Statistical Analysis, Analytics, Software Installation
4.3
Rating, 4.3 out of 5 stars
208 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
MathWorks
Data Science Companion
Skills you'll gain: Data Science, Data Processing, Machine Learning, Supervised Learning, Geographic Information Systems, Big Data, Data Visualization, Data Analysis, Amazon Web Services, Cloud Computing, Matlab, Regression Analysis
4.9
Rating, 4.9 out of 5 stars
13 reviews
Beginner · Course · 1 - 4 Weeks
Google Cloud
Google Cloud Database Engineer
Skills you'll gain: Cloud Infrastructure, Application Deployment, Infrastructure As A Service (IaaS), Kubernetes, Database Architecture and Administration, MySQL, Identity and Access Management, Cloud Computing, Data Migration, Cloud Management, Cloud API, Oracle Databases, Databases, Cloud Storage, Network Infrastructure, Microsoft SQL Servers, Cloud Security, Cloud Applications, Google Cloud Platform, Database Administration
4.7
Rating, 4.7 out of 5 stars
49K reviews
Intermediate · Specialization · 3 - 6 Months
Google Cloud
Data Engineering, Big Data, and Machine Learning on GCP
Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Lakes, MLOps (Machine Learning Operations), Dashboard, Data Warehousing, Extract, Transform, Load, Data Infrastructure, Cloud Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data, Data Integration, Data Processing, Data Visualization Software, Apache Hadoop, Apache Spark
4.6
Rating, 4.6 out of 5 stars
18K reviews
Intermediate · Specialization · 3 - 6 Months
University of Colorado Boulder
Probability Theory: Foundation for Data Science
Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Statistics, Bayesian Statistics, Statistical Methods, Statistical Analysis, Data Analysis
Build toward a degree
4.5
Rating, 4.5 out of 5 stars
250 reviews
Intermediate · Course · 1 - 3 Months
Status: AI skills
Meta
Meta Marketing Analytics
Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Marketing Analytics, Bayesian Statistics, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, A/B Testing, Target Audience, Marketing Strategies, Data Cleansing, Pandas (Python Package), Data Modeling, Data Analysis, Data Visualization Software, Spreadsheet Software, Data Collection, Marketing, Interviewing Skills
4.7
Rating, 4.7 out of 5 stars
3.7K reviews
Beginner · Professional Certificate · 3 - 6 Months
Edureka
Power BI for Data Science and Analytics
Skills you'll gain: Power BI, Business Intelligence, Data Modeling, Dataflow, Data Visualization Software, Data Analysis, Key Performance Indicators (KPIs), Text Mining, Data Science, Performance Metric, Interactive Data Visualization, Image Analysis, Data Transformation, Excel Formulas, Advanced Analytics, Artificial Intelligence, Python Programming
4
Rating, 4 out of 5 stars
8 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Nanyang Technological University, Singapore
Introduction to Forensic Science
Skills you'll gain: Criminal Investigation and Forensics, Scientific Methods, Investigation, Science and Research, Physical Science, Deductive Reasoning, Image Analysis, Estimation
4.9
Rating, 4.9 out of 5 stars
2.6K reviews
Mixed · Course · 1 - 3 Months
University of Pennsylvania
AI Fundamentals for Non-Data Scientists
Skills you'll gain: Generative AI, Big Data, Machine Learning, Tensorflow, Artificial Intelligence, Deep Learning, Algorithms, Process Optimization, Data Analysis, Artificial Neural Networks, Natural Language Processing, Automation
4.8
Rating, 4.8 out of 5 stars
689 reviews
Mixed · Course · 1 - 3 Months