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 Colorado System
Data Warehousing for Business Intelligence
Skills you'll gain: Database Design, Data Warehousing, Relational Databases, Database Development, Decision Support Systems, Business Intelligence, Data Modeling, Database Management Systems, Dashboard, Business Process Management, SQL, Star Schema, Data Governance, Data Integration, Oracle Databases, Performance Measurement, Extract, Transform, Load, Business Analytics, MicroStrategy, Data Visualization Software
4.5
Rating, 4.5 out of 5 stars
4K reviews
Advanced · Specialization · 3 - 6 Months
Johns Hopkins University
Data Science in Real Life
Skills you'll gain: Data Quality, Data Presentation, Data Management, Technical Communication, Data Visualization, Data Cleansing, Data Analysis, Data-Driven Decision-Making, Exploratory Data Analysis, Statistical Analysis, Data Science, Statistical Inference, A/B Testing, Statistical Modeling, Machine Learning
4.5
Rating, 4.5 out of 5 stars
2.4K reviews
Mixed · Course · 1 - 4 Weeks
Status: Free
Coursera Project Network
Data Science Coding Challenge: Loan Default Prediction
Skills you'll gain: Applied Machine Learning, Jupyter, Data Processing, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Predictive Analytics, Data Manipulation, Data Science, Python Programming
4.7
Rating, 4.7 out of 5 stars
89 reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free
Knowledge Accelerators
From Excel to Power BI
Skills you'll gain: Power BI, Dashboard, Data Presentation, Data Visualization Software, Interactive Data Visualization, Data Import/Export, Business Intelligence, Microsoft Excel, Data Analysis, Data-Driven Decision-Making, Data Modeling
4.5
Rating, 4.5 out of 5 stars
1.3K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
University of Zurich
An Intuitive Introduction to Probability
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Descriptive Statistics, Applied Mathematics, Statistical Methods, Risk Analysis, Financial Modeling
4.8
Rating, 4.8 out of 5 stars
1.8K reviews
Beginner · Course · 1 - 3 Months
Status: Free
University of Leeds
Exploratory Data Analysis
Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Statistical Modeling, Statistics, Data Analysis, R Programming, Box Plots, Data Visualization Software, Histogram, Statistical Analysis, Probability, Probability Distribution, Simulations
4.6
Rating, 4.6 out of 5 stars
9 reviews
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
Python for Data Analysis: Pandas & NumPy
Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Data Manipulation, Computer Programming
4.4
Rating, 4.4 out of 5 stars
329 reviews
Beginner · Guided Project · Less Than 2 Hours
University of Pennsylvania
Business Analytics
Skills you'll gain: Data-Driven Decision-Making, Business Analytics, Descriptive Analytics, Business Intelligence, Financial Data, Marketing Analytics, Analytics, Financial Analysis, Predictive Analytics, Peer Review, Business Analysis, Financial Statement Analysis, Financial Forecasting, Customer Insights, Demand Planning, Customer Analysis, Operational Analysis, Business Operations, Risk Analysis, Performance Measurement
4.6
Rating, 4.6 out of 5 stars
18K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
Stanford University
Stanford Introduction to Food and Health
Skills you'll gain: Cooking, Preventative Care, Food and Beverage, Behavioral Health, Socioeconomics, Education and Training, Culture, Environmental Issue
4.7
Rating, 4.7 out of 5 stars
33K reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Introduction to Data Analysis using Microsoft Excel
Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Pivot Tables And Charts, Data Analysis, Data Manipulation, Data Mining
4.7
Rating, 4.7 out of 5 stars
3.9K reviews
Intermediate · Guided Project · Less Than 2 Hours
Macquarie University
Excel Skills for Business: Essentials
Skills you'll gain: Microsoft Excel, Data Visualization, Spreadsheet Software, Excel Formulas, Data Management, Microsoft 365, Data Entry, Productivity Software
4.9
Rating, 4.9 out of 5 stars
50K reviews
Beginner · Course · 1 - 3 Months
Meta
Meta Database Engineer
Skills you'll gain: MySQL, Database Design, Version Control, Database Management Systems, MySQL Workbench, Extract, Transform, Load, Stored Procedure, Data Modeling, Data Structures, SQL, Database Theory, Unix Commands, Relational Databases, Databases, Git (Version Control System), Object Oriented Programming (OOP), Database Management, Unit Testing, Algorithms, Django (Web Framework)
4.6
Rating, 4.6 out of 5 stars
7K reviews
Beginner · Professional Certificate · 3 - 6 Months