Categorical data Courses and Certifications

Understanding Clinical Research: Behind the Statistics

828 reviews

If you’ve ever skipped over`the results section of a medical paper because terms like “confidence interval” or “p-value” go over your head, then you’re in the right place.

• Coursera
• 1 day 3 hours 11 minutes
• On-Demand
• Free Online Course (Audit)

• Best of All Time

Basic Exploratory Data Analysis with Diamonds

Explore data analysis fundamentals using the diamonds dataset, covering loading, summarization, categorical analysis, statistical grouping, and visualization techniques with histograms and pairplots.

• CodeSignal
• On-Demand
• Free Certificate

Intro to Data Cleaning and Preprocessing with Diamonds

Master data cleaning techniques using the diamonds dataset, from handling missing values to standardizing features, with hands-on practice in categorical conversion, visualization, and outlier detection.

• CodeSignal
• On-Demand
• Free Certificate

Data Transformation Techniques in Pandas

Master data transformation in Pandas through hands-on practice with categorical data, datetime operations, sorting techniques, and pivot tables for effective data analysis and manipulation.

• CodeSignal
• On-Demand
• Free Certificate

Comprehensive Data Wrangling and Analysis with Pandas and Numpy

Master advanced data manipulation techniques using Pandas and NumPy, from complex grouping operations to sophisticated preprocessing, scaling, and analysis methods for extracting meaningful insights from datasets.

• CodeSignal
• On-Demand
• Free Certificate

Intro to Data Cleaning and Preprocessing with Titanic

Master data cleaning and preprocessing techniques using Python with the Titanic dataset, covering missing data handling, feature engineering, scaling, outlier detection, and categorical data transformation.

• CodeSignal
• On-Demand
• Free Certificate

Feature Engineering for Machine Learning in Python

Create new features to improve the performance of your Machine Learning models.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Categorical Data in the Tidyverse

Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Introduction to Feature Engineering in R

Learn a variety of feature engineering techniques to develop meaningful features that will uncover useful insights about your machine learning models.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Python Pandas For Your Grandpa

144 ratings at Udemy

Learn Python Pandas for data manipulation: series, DataFrames, merging, reshaping, and more. Beginner-friendly with examples, animations, and practice problems for hands-on learning.

• Udemy
• 1-2 hours
• On-Demand
• Free Online Course

Working with Categorical Data in Python

35 ratings at DataCamp

Learn how to manipulate and visualize categorical data using pandas and seaborn.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Business 212: Business Statistics

Learn essential business statistics concepts, from descriptive measures to probability, hypothesis testing, and forecasting, with engaging lessons and expert instructors.

• Study.com
• 16 hours 56 minutes
• On-Demand
• Paid Course

Common Core Math - Statistics & Probability: High School Standards

Refresh your high school statistics and probability lessons with engaging video content, quizzes, and tests aligned to Common Core standards, covering quantitative and categorical data, inferences, and random variables.

• Study.com
• 8 hours 48 minutes
• On-Demand
• Paid Course

Learning Minitab

1705 ratings at LinkedIn Learning

Discover Minitab for statistical analysis and data-driven decision-making. Learn about the charts, graphs, descriptive and inferential statistics features, and reports in Minitab.

• LinkedIn Learning
• 1 hour 25 minutes
• On-Demand
• Free Trial Available

Multivariate Data Visualization with R

24 ratings at Pluralsight

R is a popular open-source programming language for data analysis. In this course, you will learn how to create multivariate data visualizations with R in order to answer questions about your data.

• Pluralsight
• 2 hours 11 minutes
• On-Demand
• Free Trial Available