Online Courses to Learn Data Cleaning

Explore 130 data science courses and free resources covering everything you need to know about Data Cleaning.

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Overview

Data cleaning is the process of identifying and correcting potential issues in a dataset that may negatively impact an analysis or process. Typical issues to address include missing data, outliers, and corrupt values.

Related Training

130 learning opportunities
Kaggle
Free
Data Cleaning
Rachael Tatman

4 hours
Python Data Cleaning Data Entry Variables
DataCamp
Data Modeling in Power BI
Maarten Van den Broeck and Sara Billen

6 hours

$300

5,157
Power BI Snowflake Business Intelligence Data Analysis Data Cleaning Data Modeling Data Sets
Udacity
MongoDB
Free
Data Wrangling with MongoDB
Gundega Dekena and Shannon Bradshaw

2 months

Intermediate
MongoDB XML Big Data Data Analysis Data Cleaning Data Science Exploratory Data Analysis
Coursera
Johns Hopkins University
Free
Getting and Cleaning Data

20 hours

180,000
MySQL R Programming APIs Data Analysis Data Cleaning Data Science Data Sets
Free Online Data Science Textbooks
Free
Introduction to R for Data Science
Jacob D. Holster

Beginner
C Python RStudio Correlation Data Analysis Data Cleaning Data Modeling Data Science
Free Data Science Cheat Sheets
Codecademy
Free
Learn R Cheatsheet
R Programming ggplot Data Cleaning Data Science Data Visualization Programming Statistical Analysis
Codecademy
Learn Text Processing

2 hours

$240
Natural Language Toolkit Python Data Cleaning Data Science Natural Language Processing Regular Expressions
LinkedIn
NLP with Python for Machine Learning Essential Training

$35
Python Data Cleaning Machine Learning Natural Language Processing
Coursera
Google
Free
Process Data from Dirty to Clean

22 hours

Beginner

97,169
SQL Data Analytics Data Cleaning Databases Functions Spreadsheets
Free Online Data Science Textbooks
Free
A Beginner's Guide to Clean Data
Benjamin Greve

Beginner
SQL Algorithms Automation Classification Customer Analytics Dashboards
Udacity
AI for Healthcare

4 months, 15 hours/week
Linux NumPy Pandas PyTorch Python Artificial Intelligence Classification Data Cleaning Data Modeling Data Science
Coursera
Free
AI Workflow: Business Priorities and Data Ingestion

8 hours

Intermediate

4,415
Jupyter Matplotlib NumPy Pandas Python Artificial Intelligence Automation Data Cleaning Data Science Distributions
edX
IBM
Free
Analyzing Data with Excel

5 weeks, 3 hours/week

Beginner
Microsoft Excel Data Analysis Data Analytics Data Cleaning Data Sets Functions
DataCamp
Anomaly Detection in Python
Bex Tuychiyev

4 hours
Python Scipy Algorithms Arrays Classification Data Analysis Data Cleaning
FutureLearn
Free
Applied Data Science

2 weeks, 6 hours/week

1,038
Jupyter Pandas Python APIs Algorithms Classification Cluster Analysis Data Analytics
Coursera
University of Michigan
Free
Applied Text Mining in Python
V. G. Vinod Vydiswaran

29 hours

Intermediate

123,047
Natural Language Toolkit Pandas Python Classification Data Cleaning Data Mining Machine Learning Natural Language Processing
edX
University of California, San Diego
Free
Big Data Analytics Using Spark

10 weeks, 11 hours/week

Advanced
Apache Spark Hadoop Jupyter PySpark Big Data Cluster Analysis Data Analysis Data Analytics Data Cleaning
edX
Boston University
Free
Business Analytics for Data-Driven Decision Making

7 weeks, 5 hours/week

Advanced
Linux Power BI Business Intelligence Data Analysis Data Analytics Data Cleaning Data Modeling
Coursera
Rice University
Free
Business Statistics and Analysis Capstone
Sharad Borle

7 hours

15,150
Data Analysis Data Cleaning Data Modeling Predictive Analytics Statistical Analysis
Coursera
University of Michigan
Free
Capstone: Retrieving, Processing, and Visualizing Data with Python
Charles Russell Severance

9 hours

223,157
Python Algorithms Cloud Computing Data Analysis Data Cleaning Data Modeling
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Career Relevance

Data Cleaning is most likely to appear on Chief Data Officer job descriptions where we found it mentioned 4.2 percent of the time.

1. Chief Data Officer
4.2%
2. Data Scientist
4.0%
3. Data Analyst
3.8%
4. Data Engineer
1.9%
5. Business Analyst
0.5%
6. Data Architect
0.2%

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