Categorical data Courses and Certifications

Cleaning and Transforming Data with Pandas

Master advanced Pandas techniques for data transformation, categorical encoding, text cleanup, datetime manipulation, and feature engineering to enhance your analysis capabilities.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

In-Depth Visualization with Seaborn

Master data visualization techniques using Seaborn to create compelling plots, from basic countplots to advanced FacetGrids, enabling clear and insightful presentation of complex data patterns.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

EDUCBA

Mastering Categorical Data Analysis with SAS

Master categorical data analysis using SAS through hands-on frequency tables, Fisher's Exact tests, logistic regression modeling, and advanced validation techniques for real-world scenarios.

• Coursera
• 12 hours 1 minute
• Self-Paced
• Paid Course

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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Paid Course

Statistics and Data Analysis with Excel: Intermediate

21 ratings at Coursera

Master advanced statistical analysis in Excel through pivot tables, hypothesis testing, correlation, and regression techniques for data-driven decision making.

• Coursera
• 11 hours 17 minutes
• Self-Paced
• Paid Course

Excel Skills for Statistics and Data Analysis: Intermediate

Gain proficiency in advanced statistical techniques using Excel, from inferential statistics to pivot tables, enabling data-driven decision making and strategic insights from complex datasets.

• Coursera
• 12 hours 17 minutes
• Self-Paced
• Free Online Course (Audit)

Clean Your Data

37 ratings at Coursera

Master essential data cleaning techniques including handling missing values, outliers, categorical encoding, and input validation using Python for robust analysis.

• Coursera
• 6 hours 24 minutes
• Self-Paced
• 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
• Self-Paced
• Paid Course

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
• Self-Paced
• Paid Course

Coursera

Transform Data: Cleanse, Encode, Validate

Master practical data transformation techniques using Python and pandas to cleanse messy datasets, handle missing values, encode categorical features, and validate data quality for reliable analytics.

• Coursera
• 2 hours 7 minutes
• Self-Paced
• Paid Course

Coursera

Analyze Data: Visualize, Summarize, and R

Master R fundamentals for financial data analysis through frequency analysis, data visualization, and categorical pattern interpretation with hands-on practice.

• Coursera
• 1 hour 37 minutes
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video