Categorical Variables Courses and Certifications

NPTEL-NOC IITM

Categorical Variable as Predictor Part 1

Discover how to effectively incorporate categorical variables as predictors in statistical models, enhancing your analytical capabilities.

• YouTube
• 16 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

Data Manipulation in SQL

205 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

Problem Solving with Advanced Analytics

13 ratings at Udacity

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
• 3 hours
• On-Demand
• Free Online Course

Medicosis Perfectionalis

Types of Variables - Numerical vs. Categorical, Discrete vs. Continuous, Ordinal vs. Nominal

Comprehensive overview of variable types in statistics, covering numerical and categorical classifications, with explanations of discrete, continuous, ordinal, and nominal variables.

• YouTube
• 12 minutes
• On-Demand
• Free Video

R Programming 101

Managing Categorical Variables with Forcats Package in R Programming

Master categorical data manipulation in R with the forcats package, learning essential techniques for efficient factor handling and streamlined statistical analysis.

• YouTube
• 11 minutes
• 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

Wrath of Math

Conditional Distributions of Categorical Variables in Statistics

Explore conditional distributions of categorical variables through examples and charts. Learn to determine associations between variables and interpret data effectively.

• YouTube
• 14 minutes
• On-Demand
• Free Video

PredictHealth's Multi-Factor Cost Models

Master advanced regression techniques to build sophisticated multi-factor prediction models with data cleaning, validation, and custom feature engineering for insurance cost analysis.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Data Analysis with Tidyverse

13 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 3 minutes
• On-Demand
• Paid Course

Predictive Modeling with Logistic Regression using SAS

63 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 39 minutes
• On-Demand
• Paid Course

Linear Regression

30 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
• Paid Course

Wrath of Math

Introduction to Statistics - AP Statistics Curriculum and Beyond

Master statistical concepts from data visualization to hypothesis testing through comprehensive AP Statistics curriculum coverage.

• YouTube
• 3 hours 14 minutes
• On-Demand
• Free Video

Regression

Exploring Data Visually Introduction to Probability

• Brilliant
• On-Demand
• Paid 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 Video