Featured Courses

Data Science 101

Data Science 101

About the course
The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do, this field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.
Data Science Methodology

Data Science Methodology

About the course
Grab you lab coat, beakers, and pocket calculator…wait what? wrong path! Fast forward and get in line with emerging data science methodologies that are in use and are making waves or rather predicting and determining which wave is coming and which one has just passed.
Data Science Hands-On with Open Source Tools

Data Science Hands-On with Open Source Tools

About the course
What tools do data scientists use? In this course, you'll learn how to use the most popular data science tools, including Jupyter Notebooks, RStudio IDE, Apache Zeppelin, and more!
Statistics 101

Statistics 101

About the course
Take this course and you won't fail statistics. Welcome to the Statistics 101 course, taught by Murtaza Haider, Assistant Professor at Ryerson University. Statistics is one of the most challenging topics to learn, but Murtaza brings a gentle introduction to statistics in practice. Learn about descriptive statistics, variance, probability, correlation, and data visualization. This course ends with a fully-guided statistics exercise exploring the “hot” topic of: do good looking professors get better teaching evaluations? A free trial of SPSS Statistics is included in this course.
R for Data Science

R for Data Science

About the course
Are you ready to dive head-first into R? In just a few hours you'll learn how to write your own R code, learn about data structures and create your own functions. You’ll even be able to import data and do some operations. Try our hands-on exercises as we guide your first steps into your data science journey with R.
Python for Data Science

Python for Data Science

About the course
This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours. You'll be able to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment.

How to obtain your certificate for the "Data and Analytics Foundations" learning path

  • Step 1: Enrol in every course above.
  • Step 2: Successfully pass and receive a certificate for each of the courses.
  • Step 3: Return here and click the button below to view your certificate:

How to obtain your badge for the "Data and Analytics Foundations" learning path

  • Step 1: Enrol in every course above.
  • Step 2: Successfully pass and receive a certificate for each of the courses.
  • Step 3: Return here and click the button below to request your badge.
  • Step 4: Visit your email to accept your badge.

Data and Analytics Foundations

This badge earner is familiar with all the elements comprising the entire data journey: from data ingestion to analytics and machine learning, to finally an efficient deployment. The earner is equipped with a general understanding of every step, including hands-on experience with machine learning modeling. This solid foundation allows the individual to apply these tools to simple real-life data analytics tasks.

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