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

Coursera Project Network
Data Science Challenge
Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Data Science, Python Programming, Predictive Analytics
4.7
Rating, 4.7 out of 5 stars
162 reviews
Intermediate · Guided Project · Less Than 2 Hours
PwC
Data-driven Decision Making
Skills you'll gain: Analytics, Business Analytics, Data Analysis, Data-Driven Decision-Making, Business Intelligence, Data Literacy, Big Data, Data Storytelling, Statistical Analysis, Microsoft Excel, Data Visualization Software, R Programming
4.6
Rating, 4.6 out of 5 stars
6.1K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
The Hong Kong University of Science and Technology
Python and Statistics for Financial Analysis
Skills you'll gain: Statistical Inference, Statistical Methods, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Financial Modeling
4.4
Rating, 4.4 out of 5 stars
4.5K reviews
Intermediate · Course · 1 - 4 Weeks
Meta
Data Analysis with Spreadsheets and SQL
Skills you'll gain: Data Visualization Software, Spreadsheet Software, Correlation Analysis, Google Sheets, Pivot Tables And Charts, Dashboard, Data Analysis, Data Storytelling, Tableau Software, Descriptive Statistics, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Data-Driven Decision-Making, Statistical Analysis, SQL
4.6
Rating, 4.6 out of 5 stars
225 reviews
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Data Science Foundations: Statistical Inference
Skills you'll gain: Statistical Hypothesis Testing, Probability, Probability & Statistics, Probability Distribution, Statistical Inference, Statistical Methods, Statistics, Bayesian Statistics, Data Science, Sampling (Statistics), Data Ethics, Statistical Analysis, Quantitative Research
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
322 reviews
Intermediate · Specialization · 3 - 6 Months
University of Virginia Darden School Foundation
IBM & Darden Digital Strategy
Skills you'll gain: Strategic Thinking, Digital Transformation, Business Strategy, Cloud Computing Architecture, Competitive Analysis, Cloud Services, Large Language Modeling, Business Transformation, Cloud Security, Cloud Technologies, Cloud Infrastructure, Big Data, Cloud Platforms, Data Analysis, Statistical Analysis, Cloud Hosting, Artificial Intelligence, Generative AI, Product Lifecycle Management, Business Technologies
4.7
Rating, 4.7 out of 5 stars
45K reviews
Beginner · Specialization · 3 - 6 Months
Status: New
IBM
IBM Data Architecture
Skills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Data Security, Linux Commands, Data Migration, Database Design, Data Governance, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store
4.6
Rating, 4.6 out of 5 stars
6.6K reviews
Beginner · Professional Certificate · 3 - 6 Months
University of California San Diego
Introduction to Big Data
Skills you'll gain: Big Data, Apache Hadoop, Scalability, Data Processing, Data Science, Distributed Computing, Unstructured Data, Data Analysis, Real Time Data, Data Storage
4.6
Rating, 4.6 out of 5 stars
11K reviews
Mixed · Course · 1 - 3 Months
University of Colorado System
Data Warehousing for Business Intelligence
Skills you'll gain: Database Design, Data Warehousing, Relational Databases, Decision Support Systems, Business Intelligence, Data Modeling, Database Management Systems, Databases, Dashboard, Business Process Management, SQL, Star Schema, Data Governance, Oracle Databases, Data Integration, Performance Measurement, Extract, Transform, Load, Business Analytics, MicroStrategy, Data Visualization Software
4.5
Rating, 4.5 out of 5 stars
4.1K reviews
Advanced · Specialization · 3 - 6 Months
Status: Free
University of Leeds
Exploratory Data Analysis
Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Statistical Modeling, Statistics, Data Analysis, Statistical Inference, R Programming, Descriptive Statistics, Box Plots, Data Visualization Software, Histogram, Probability, Simulations
4.6
Rating, 4.6 out of 5 stars
9 reviews
Intermediate · Course · 1 - 4 Weeks
IBM
Applied Data Science Capstone
Skills you'll gain: Plotly, Exploratory Data Analysis, Predictive Modeling, Data Science, Data-Driven Decision-Making, Data Presentation, Data Analysis, Pandas (Python Package), Web Scraping, Statistical Modeling, Data Wrangling, Machine Learning Methods, Data Collection
4.7
Rating, 4.7 out of 5 stars
7.3K reviews
Intermediate · Course · 1 - 3 Months
University of Pennsylvania
Business Analytics
Skills you'll gain: People Analytics, Data-Driven Decision-Making, Business Analytics, Descriptive Analytics, Business Intelligence, Human Resource Strategy, Financial Data, Marketing Analytics, Analytics, Talent Management, Financial Analysis, Predictive Analytics, Peer Review, Business Analysis, Financial Statement Analysis, Financial Forecasting, Customer Insights, Workforce Planning, Demand Planning, Customer Analysis
4.6
Rating, 4.6 out of 5 stars
18K reviews
Beginner · Specialization · 3 - 6 Months