Find selected resources to help you with math, stats, and data software. You can find informative LinkedIn Learning modules, YouTube playlists and other online tools that provide helpful clarifications. Join a short-course or watch a short video on a single topic. These resources will help you prepare for your next class.
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Math Resources
View various online resources designed to assist you in a wide variety of topics.
Stats Resources
Check out our online resources designed to assist you with concepts from basic probabilities to deriving a mean.
Excel & Software Resources
Learn about Excel, R, Stata. SAS and Python and how these various programs/language can help in Data Analysis and create a variety of programs.
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Advanced and Specialized Statistics with Stata (Intermediate)
Stata is agile, easy to use, and fast, with the ability to load and process up to 120,000 variables and over 20 billion observations. In this course, take a deeper dive into the popular statistics software.
Data, Economic Modeling, and Forecasting with Stata
Working with data is an important part of many jobs, and in the future, it will be important for even more.
Excel
Excel is a software program created by Microsoft that uses spreadsheets to organize numbers and data with formulas and functions. Excel analysis is ubiquitous around the world and used by businesses of all sizes. It helps companies accurately assess situations and make better business decisions.
Excel 2021 Essential Training
Excel, the popular spreadsheet program from Microsoft, is an essential tool for many professional roles. Learn how to navigate Excel and how to create, open, and save a file; how to enter, format, autofill, and edit text, as well as how to copy and delete cell data, merge cells, and more.
Excel Essential Training
Learn how to enter and organize data, perform calculations with simple functions, and format the appearance of rows, columns, cells, and data. Other lessons cover how to work with multiple worksheets, build charts and PivotTables, sort and filter data, use the printing capabilities of Excel, and more.
Excel: Advanced Formulas and Functions (Intermediate)
Learn about hundreds of formulas and functions available in Excel. Note that this course is recorded in Excel for Office 365 but anyone using a recent version鈥攊ncluding 2019, 2016, and 2013鈥攚ill be able to follow along.
Excel: Tips and Tricks (Intermediate)
Learn time-saving tricks for creating formulas rapidly, accelerating data entry, and navigating within worksheets efficiently. Plus, discover drag and drop techniques, formatting shortcuts, charting and PivotTable tips, and much more.
GAMES: Introduction to Statistics
A four-week mini-course that covers the four vital elements of any statistics course: representing data with graphs, summary statistics, linear regression, and hypothesis testing.
HEC Montreal Help Topics
HEC Montreal's Mathematics Help Centre offers assistance in many numeracy related topics such as algebra, derivatives, probability and more. Check one any of their help topics for a step-by-step guide to learning.
Introduction to Stata
Stata is agile and easy to use, automate, and extend, helping you perform data manipulation, visualization, and modeling for extremely large data sets. Explore the practical application鈥攁nd interpretation鈥攐f commonly used statistical techniques such as distributional analysis and regression on real-life data.
JB Statistics
University of Guelph Associate Professor Jeremy Balka's YouTube channel features a collection of introductory statistics videos designed to clarify a wide variety of concepts.
Khan Academy Math
Filled with helpful exercises, instructional videos, and more, Khan Academy is an excellent learning resource that empowers math students worldwide.
Khan Academy Statistics and Probability
Filled with helpful exercises, instructional videos, and more, Khan Academy is an excellent learning resource that assists students in statistics and probability worldwide.
Learning Excel: Data Analysis (Intermediate)
This course helps you unlock the power of your organization's data using the data analysis and visualization tools built into Excel.
Learning Python
Python鈥攖he popular and highly readable object-oriented language鈥攊s both powerful and relatively easy to learn. This course provides an overview of the installation process, basic Python syntax, and an example of how to construct and run a simple Python program.
Learning R
The lessons explains how to get started with R, including installing R, RStudio, and code packages that extend R鈥檚 power and understand how to leverage this tool to explore and analyze a wide variety of data.
Machine Learning with Python: Foundations (Intermediate)
This course introduces machine learning in an approachable way and provides step-by-step guidance on how to get started with machine learning via the most in-demand language in use today, Python.
Precalculus and Single Variable Calculus
快播视频 Assistant Professor Robert McKeown has produced a series of videos to help students with precalculus and calculus work using the online tutoring software, ALEKS. Head over to YouTube for lessons on equations, functions, geometry, exponentials and more.
Python Data Structures and Algorithms (Intermediate)
This course, leveraging the Python programming language, explains concepts in a fun and accessible way.
Python Essential Training
Python is one of the most used dynamic languages for many large organizations, including Google, Yahoo, and IBM. Learn day-to-day programming in Python, including data types, data structures, operators and statements, control flow, loops, functions, classes, exception handling, and file management.
Python Object-Oriented Programming (Intermediate)
In this course, you can learn how to apply core OOP principles like inheritance and composition along with some Python-specific features like 鈥渕agic鈥 methods and data classes to build programs that are extensible and efficient.
Python Quick Start
Get a fast-paced introduction to Python. In this course, you can learn what Python is and why it's become such a powerful and in-demand programming language.
R Essential Training: Wrangling and Visualizing Data
This training series provides a thorough introduction to R, with detailed instruction for installing and navigating R and RStudio and hands-on examples, from exploratory graphics to neural networks.
R for Data Science (Intermediate)
This training series provides a thorough introduction to R, with detailed instruction for working with R and RStudio and hands-on examples, from exploratory graphics to neural networks.
R for Data Science: Lunchbreak Lessons (Intermediate)
Review language basics, discover methods to improve existing R code, explore new and interesting features, and learn about useful development tools and libraries that will make your time programming with R that much more productive.
R for Excel Users
Data scientists who use Excel realize that R is emerging as the new standard for statistical wrangling (especially for larger data sets). This course serves as the perfect bridge for the many Excel-reliant data analysts and business users who need to update their data science skills by learning R.
SAS Essential Training: 1 Descriptive Analysis
Learn how to import a dataset from SAS *.xpt format using the XPORT command; edit datasets to add new categorical and continuous variables; conduct chi-square tests, t-tests, and analyses of variance (ANOVAs); generate a descriptive analysis with either a categorical and a continuous dependent variable; and more.
SAS Essential Training: 2 Regression Analysis for Healthcare Research
Learn how to use the platform to conduct a regression analysis of a health survey data center.
SAS庐 9.4 Cert Prep: Part 1 SAS Programming Essentials
This course is the first in a series by the SAS Institute, designed to prepare you for the SAS 9.4 certification exam. Learn SAS programming essentials to handle the most common data-processing tasks with SAS code.