Categorical Variables Courses and Certifications

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

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)

Data Manipulation in SQL

189 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

Predictive Modeling with Logistic Regression using SAS

60 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)

Linear Regression

15 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 3 hours 3 minutes
• On-Demand
• Free Online Course (Audit)

Beginning Data Visualization with R

87 ratings at Pluralsight

Learn how to create data visualizations with R in order to answer questions about your data.

• Pluralsight
• 3 hours 2 minutes
• 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)

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 Video

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 Video

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 Video

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 Video

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 Video

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 Video

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 Video