Data Preprocessing Courses and Certifications

Customer Segmentation in Python

Learn to segment customers using Python, from cohort analysis to k-means clustering. Apply real-world techniques on actual retail data to gain insights and create actionable customer segments.

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

Practicing Machine Learning Interview Questions in Python

Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.

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

Cleaning Data with Generative AI

Use generative AI to tackle data cleaning, fixing duplicates, nulls, and formatting for consistent, accurate datasets.

• DataCamp
• 1 hour
• On-Demand
• Free Trial Available

Business Process Analytics in R

Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.

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

Practicing Machine Learning Interview Questions in R

Prepare for your upcoming machine learning interview by working through these practice questions that span across important topics in machine learning.

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

Preparing for Data Analysis

Master data preprocessing, feature engineering, and exploratory analysis techniques essential for building successful machine learning trading models using Python tools.

• Udacity
• 17 hours
• On-Demand
• Paid Course

Optimizing AI Strategies

Master AI model optimization through hyperparameter tuning, regularization, and deployment strategies to enhance trading performance and prevent overfitting.

• Udacity
• 17 hours
• On-Demand
• Paid Course

Microcredential

AI Trading Strategies

4 ratings at Udacity

Master AI-based trading model development from ideation to optimization, covering preprocessing, backtesting, reinforcement learning, and momentum strategies for data-driven market analysis and trading decisions.

• Udacity
• 96 hours
• On-Demand
• Paid Course

AI for Data Analytics (Self-Paced)

Discover how to leverage AI tools for streamlined data analysis, from collection to visualization, with minimal coding required in this comprehensive self-paced program.

• Noble Desktop
• On-Demand
• $695.00

Microcredential

Journey into Machine Learning with Sklearn and Tensorflow

398 ratings at CodeSignal

Dive into machine learning fundamentals through advanced deep learning, mastering data preprocessing, model optimization, and neural networks using real-world datasets with Sklearn and Tensorflow frameworks.

• CodeSignal
• 16 hours
• On-Demand
• Free Certificate
• 5 courses

5 Minutes Engineering

Machine Learning and Neural Networks: Data Preprocessing Techniques - Day 3

Explore data preprocessing techniques for machine learning: handling missing data, normalization, standardization, and binarization. Enhance your ML and neural network skills.

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

CodeEmporium

Preprocessing Data for Machine Learning - Deep Dive

Comprehensive guide to preprocessing data for logistic regression, covering standardization, encoding, data imbalance, correlation, multicollinearity, and missing data handling techniques.

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

Chemometrics & Machine Learning in Copenhagen

Preprocessing - Warping Data

Learn about Correlation Optimized Warping (COW) for aligning misaligned data, including its principles, parameters, and applications in bilinear models and data preprocessing.

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

Julia Silge

Data Preprocessing and Resampling Using Tidymodels

Explore data preprocessing and resampling techniques using tidymodels in R, focusing on college tuition and diversity data to build effective models and improve analysis skills.

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

Krish Naik

NVIDIA RAPIDS cuDF - Large Data Preprocessing with Pandas Accelerator Mode

Accelerate pandas workflows with NVIDIA RAPIDS cuDF, a GPU-powered DataFrame library. Process large datasets faster using familiar pandas-style API, without code changes. Ideal for data scientists and analysts.

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