Categorical Variables Courses and Certifications

Data Analysis with Tidyverse

10 ratings at Coursera

Learn to analyze data using R's Tidyverse: import, tidy, manipulate relational data, work with strings and categorical variables. Gain practical skills for effective data analysis and visualization.

• Coursera
• 17 hours 2 minutes
• On-Demand
• Free Online Course (Audit)

Predictive Modeling with Logistic Regression using SAS

53 ratings at Coursera

Develop predictive models using logistic regression in SAS. Learn variable selection, data preparation, model assessment, and handling missing values for effective analysis of large datasets.

• Coursera
• 16 hours 34 minutes
• On-Demand
• Free Online Course (Audit)

Illinois Institute of Technology

Linear Regression

13 ratings at Coursera

Learn to apply linear regression techniques using R, covering simple and multiple regression, qualitative predictors, and statistical inference for data-driven career applications.

• Coursera
• 1 day 2 hours 53 minutes
• On-Demand
• Free Online Course (Audit)

Data Manipulation in SQL

175 ratings at DataCamp

Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.

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

Data Visualisation with Python: Seaborn and Scatter Plots

1 rating at FutureLearn

Discover how to create visualisations and show understanding of data visualisation theory with the Python programming language.

• FutureLearn
• 4 weeks, 4 hours a week
• On-Demand
• Paid Course

Data Visualisation with Python: Seaborn and Scatter Plots

1 rating at FutureLearn

Discover how to create visualisations and show understanding of data visualisation theory with the Python programming language.

• FutureLearn
• 4 weeks, 4 hours a week
• On-Demand
• Free Online Course (Audit)

Problem Solving with Advanced Analytics

Learn a scientific approach to solving problems with data, a foundational skill for anyone interested in making data driven decisions in a business context.

• Udacity
• 2 weeks
• On-Demand
• Free Online Course

Regression Series

Comprehensive exploration of regression analysis, covering key concepts, advanced techniques, and model assumptions for data-driven decision-making.

• YouTube
• 4 hours 30 minutes
• On-Demand
• Free Online Course

Linear Regression in R

Comprehensive guide to linear regression in R: model fitting, assumption checking, interpretation, categorical variables, interactions, and advanced techniques for effective data analysis.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Online Course

Open Data Science

Prepping Data for Analysis Using R

Learn techniques for preparing data for analysis using R, covering common issues, automated solutions, and practical demonstrations for handling missing values and categorical variables.

• YouTube
• 1 hour 34 minutes
• On-Demand
• Free Online Course

1littlecoder

Kaggle 30 Days of ML - Day 12 - Missing Values and Categorical Variables

Explore missing values and categorical variables in machine learning, learning practical approaches to handle data imperfections and enhance model performance.

• YouTube
• 50 minutes
• On-Demand
• Free Online Course

Abhishek Thakur

Entity Embeddings for Categorical Variables

Learn to implement entity embeddings for categorical variables using TensorFlow/Keras, with a focus on converting the model to PyTorch. Practical application using Kaggle competition data.

• YouTube
• 35 minutes
• On-Demand
• Free Online Course

Richard McElreath

Statistical Rethinking 2022 - Categories, Curves & Splines

Explore statistical concepts like categorical variables, contrasts, and splines. Learn Bayesian causal inference and polynomial models for advanced data analysis and modeling techniques.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Online Course

Convert Categorical Variables into Quantitative Variables

This course will introduce basic methods to convert categorical variables into quantitative variables for analysis using Python. Without properly prepared data, your model is likely to be inaccurate or incomplete.

• Pluralsight
• 19 minutes
• On-Demand
• Free Trial Available

Alan Turing Institute

In-Database Factorised Learning - Professor Dan Olteanu

Explore in-database factorised learning techniques for efficient data analysis and machine learning, covering integration approaches, advantages, and practical applications in relational databases.

• YouTube
• 1 hour
• On-Demand
• Free Online Course