Because data analysis is so important to many businesses, it’s not uncommon for businesses to staff data analysts seven days a week. A good example of a business that needs a data analyst seven days a ...

Find the best online data science certifications and develop the essential skills to open up new career opportunities in this high-demand field.

This workshop is hands-on and intended for beginners; no previous knowledge of data analysis and/or R is required. This session will cover the following topics for R: data preparation, descriptive ...

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

Introduction to Data Cleaning During this first workshop on Thursday, March 8, learn how to create, design and edit a survey form; understand the relationship between question type and method of data ...

Data Analytics is the process of analyzing raw data to gain knowledge and insight for better decision making. Learn more now.

Data validation in machine learning plays a critical role in ensuring that data sets adhere to specific project criteria and affirming the effectiveness of prior cleaning and transformation efforts.

In a labor market hungry for employees who can work with data, some high schools have begun to offer a new breed of classes in data science.

Data cleaning, sometimes referred to as data munging or exploratory data analysis, explains the process of examining raw data and condensing it down to a more usable form.

Discover why Power Query is the smarter alternative to Excel formulas for cleaning, transforming, and analyzing data efficiently.