Data Cleaning Courses and Certifications

R Programming 101

Handling Missing Data and Missing Values in R Programming - NA Values, Imputation, and naniar Package

Discover effective techniques for handling missing data in R through NA value management, imputation methods, and visualization using the naniar package for accurate data analysis.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

Alex the Analyst

Data Cleaning in MySQL - Full Project Tutorial

Master practical data cleaning techniques in MySQL through a hands-on project focused on processing and transforming layoff dataset using SQL queries and best practices.

• YouTube
• 51 minutes
• Self-Paced
• Free Video

Alex the Analyst

Data Cleaning with Python Pandas - A Complete Tutorial

Master essential data cleaning techniques in Python Pandas, including handling duplicates, standardizing values, splitting columns, and managing null values through hands-on demonstrations and practical examples.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Process Data from Dirty to Clean

18885 ratings at Coursera

In this course, you’ll continue to build your understanding of data analytics and the concepts and tools that data analysts use in their work.

• Coursera
• 16 hours 25 minutes
• Self-Paced
• Paid Course

Association for Computing Machinery (ACM)

Overview and Importance of Data Quality

Explore data quality's crucial role in machine learning, covering challenges, metrics, cleaning techniques, and strategies for handling imbalanced datasets in enterprise settings.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Prepping the Bar - Insights from Cleaning and Labeling a Cocktail Dataset

Explore data cleaning and labeling techniques using a cocktail dataset, gaining insights for effective data preparation in business analytics projects.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

SQLBits

Data Quality Revolution: The Fabric-OpenAI Approach

Master data cleaning techniques using Fabric and OpenAI to transform chaotic datasets into valuable insights, enhancing your data quality skills for improved analysis and decision-making.

• YouTube
• 51 minutes
• Self-Paced
• Free Video

Snorkel AI

How Cleanlab Uses AI to Correct Errors in Any Dataset

Discover AI-powered tools for cleansing datasets, enhancing model training accuracy. Explore Cleanlab's innovative approach to data-centric AI and its practical applications.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Data Science Festival

The Dangers of Dirty Data: Ensuring Accuracy in Classification

Explore the consequences of dirty data and learn practical techniques for ensuring data accuracy and maintenance in this insightful talk by Susan Walsh.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

MLOps.community

Data Quality: Preventing, Diagnosing and Curing Bad Data

Uncover strategies to harness quality data, spot and eradicate low-quality information, and optimize decision-making. Learn prevention techniques and diagnostics to elevate data-driven initiatives and build trust.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Nvidia

Curating Text Data for Pre-training LLMs using GPU-accelerated Modules from NVIDIA NeMo Curator

Learn how to curate high-quality text data for LLM pre-training using NVIDIA NeMo Curator's GPU-accelerated modules, from downloading datasets to cleaning, filtering, and redacting personal information.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

PyCon Israel

Missing Data Patterns and Handling Techniques in Python Data Analysis

Discover effective strategies for handling missing data patterns using Python tools like pandas and missingno, with practical techniques for data visualization and exploration.

• YouTube
• 17 minutes
• Self-Paced
• Free Video

Alex the Analyst

Handling Missing Data in R - R for Data Analytics Series

Master techniques for identifying, analyzing, and handling missing data in R to ensure clean, reliable datasets for your data analytics projects.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

Career Certificate

Journey into Data Science with Python

1482 ratings at CodeSignal

Master Python-based data science essentials, from NumPy and Pandas to machine learning, through hands-on projects with real datasets like Titanic and airline data. Build practical skills in visualization, preprocessing, and predictive modeling.

• CodeSignal
• 28 hours
• Self-Paced
• Free Certificate
• 7 courses

Excel Basics for Data Analysis

10884 ratings at Coursera

Learn essential Excel skills for data analysis, including data loading, cleaning, and manipulation using functions, filtering, sorting, and pivot tables. Gain hands-on experience with real datasets.

• Coursera
• 13 hours 29 minutes
• Self-Paced
• Paid Course