Resampling Courses and Certifications

photoshopCAFE

Understand Resolution in Photoshop

Learn to grasp image size and resolution in Photoshop, including DPI, PPI, screen resolution, and resampling. Gain insights on viewing images and understanding size differences.

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

Introduction to Statistics

3325 ratings at Coursera

You will gain the foundational skills that prepare you to pursue more advanced topics in statistical thinking and machine learning.

• Coursera
• 14 hours 31 minutes
• On-Demand
• Free Online Course (Audit)

Regression and Classification

12 ratings at Coursera

Explore statistical modeling concepts, including regression, classification, and unsupervised techniques. Learn when to use specific models, how to tune them, and understand trade-offs for informed decision-making.

• Coursera
• 1 day 10 hours 49 minutes
• On-Demand
• Free Online Course (Audit)

Intermediate Statistical Modeling in R

In this follow-up course, you will expand your stat modeling skills from the introduction and dive into more advanced concepts.

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

Manipulating Time Series Data in Python

26 ratings at DataCamp

In this course you'll learn the basics of working with time series data.

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

Bootstrapping Statistics and Bootstrapping in R

Learn bootstrapping in statistics and R, covering resampling techniques, hypothesis testing, and confidence intervals. Gain practical skills with examples and downloadable datasets.

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

Julia Silge

Fit and Predict With Logistic Regression for Bird Bath Observations in Australia

Learn to model bird bath observations in Australia using tidymodels, combining model specifications with feature engineering recipes for effective fitting and prediction.

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

Julia Silge

Predict Water Availability in Sierra Leone With Random Forests

Explore random forest modeling with tidymodels to analyze water sources in Sierra Leone, covering data preparation, model building, and evaluation techniques.

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

Julia Silge

Impute Missing Data and Handle Class Imbalance for Himalayan Climbing Expeditions

Learn to predict survival in Himalayan climbing expeditions using tidymodels in R. Explore data handling, imputation, and modeling techniques for imbalanced datasets.

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

Julia Silge

Predict Class Membership for the Datasaurus Dozen With Tidymodels

Explore multiclass evaluation metrics for random forest models using the Datasaurus Dozen dataset, focusing on model performance and visualization techniques.

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

Shashank Kalanithi

Practical Statistics for Data Scientists - Statistical Experiments Significance Testing

Learn statistical experiments and significance testing for data science, covering A/B testing, hypothesis testing, resampling, and ANOVA, with practical examples and insights.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Online Course

Olivio Sarikas

Affinity Photo - Photo Export Intro

Comprehensive guide to photo exporting in Affinity Photo, covering formats, algorithms, compression, bit depth, resolution, color space, and more for optimal results in print and digital media.

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

EuroPython Conference

Neat Analytics with Pandas Indexes

Explore advanced Pandas indexing techniques for efficient data analysis, covering index types, time-series resampling, and multi-indexing to enhance your productivity in Python analytics.

• YouTube
• 29 minutes
• On-Demand
• Conference Talk

ITMO University

Advanced Machine Learning

6 reviews

An advanced course on machine learning. You will learn specific techniques and methods to analyze big amounts of data.

• edX
• 5 weeks, 2-4 hours a week
• Finished
• Free Online Course (Audit)

Successfully Evaluating Predictive Modelling

1 review

Gain an in-depth understanding of evaluation and sampling approaches for effective predictive modelling using Python.

• edX
• 6 weeks, 8-10 hours a week
• Finished
• Free Online Course (Audit)