Data Cleaning Courses and Certifications

Visual Studio Code

Effortless Data Analysis and Cleaning with Data Wrangler in VS Code

Explore Data Wrangler in VS Code: Boost productivity with code-centric data cleaning, automated Pandas code generation, and insightful visualizations for efficient data analysis.

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

Preparing Data for Analysis Course (How To)

79-minute Data Analysis course: Learn how to clean and prep data for analysis using spreadsheet tools and Python's Pandas.

• Treehouse
• 1 hour 19 minutes
• On-Demand
• Free Trial Available

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
• On-Demand
• Free Video

Snorkel AI

How to Create Data-Cleaning Auto-Pipelines With Python

Develop automated data cleaning pipelines using Scikit-Learn to streamline data processing, reduce time spent on preprocessing, and enhance reproducibility in your data science projects.

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

Trelis Research

Preparing Fineweb - A Finely Cleaned Common Crawl Dataset for Language Models

Explore Common Crawl data processing, comparing datasets like C4 and RefinedWeb. Learn about quality filters, deduplication strategies, and LLM-assisted filtering for creating high-quality datasets like Fineweb Edu.

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

Data Cleaning and Processing for Data Scientists

Learn essential data cleaning and processing techniques for accurate analysis. Explore strategies to handle missing values, duplicates, and outliers. Discover transformation methods and leverage cloud services for efficient data preparation.

• Pluralsight
• 35 minutes
• On-Demand
• Free Trial Available

Transform and Clean your Data with Dataprep by Alteryx on Google Cloud

Learn to clean and prepare data using Dataprep by Alteryx on Google Cloud. Master data transformation, profiling, and integration with Cloud Storage and BigQuery for effective analysis and visualization.

• Google Cloud Skills Boost
• 5 hours
• On-Demand
• Paid Course

Cleaning and Working with Dataframes in Python

In today's data-driven world, cleaning and organizing data has become an essential task for businesses and organizations. Messy data can lead to incorrect insights, which can lead to poor decision-making. In this course, Cleaning and Working with Data…

• Pluralsight
• 51 minutes
• On-Demand
• Free Trial Available

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
• On-Demand
• Free Video

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
• On-Demand
• Free Video

Data Cleaning and Quality Assurance in R

Master essential data cleaning techniques in R, from handling missing values and outliers to ensuring data consistency and validation, preparing you for reliable statistical analysis and insights.

• Pluralsight
• 52 minutes
• On-Demand
• Free Trial Available

Data Cleaning in Snowflake: Techniques to Clean Messy Data

Learn techniques to clean messy data in Snowflake, including identifying quality issues, using SQL functions, extracting dates, and correcting missing or duplicate information.

• Coursera
• 2 hours 41 minutes
• On-Demand
• Paid Course

Data Cleaning in Excel: Techniques to Clean Messy Data

34 ratings at Coursera

Learn essential Excel techniques for cleaning messy data, including tidy data principles, built-in features, and text manipulation functions. Gain practical skills through a real-world student dataset.

• Coursera
• 1 hour 43 minutes
• On-Demand
• Paid Course

Clean and analyze social media usage data with Python

31 ratings at Coursera

Extract, clean, and analyze tweets using Python to provide insights for social media brand promotion, enhancing client performance and delivering timely results.

• Coursera
• 2 hours 22 minutes
• On-Demand
• Paid Course