Want to unlock the secrets of clean data? Take a look at our list of Best Free Cleaning Online Courses. The list is perfect to improve your data cleaning skills and enhance analysis and insights.
This list of the Best Free Data Cleaning Courses Online teaches you all the important techniques that lead to data accuracy and reliability. Learn the skills that are crucial for effective data analysis and boost your career in data science.
# | Course Name | University/Organization | Ratings | Duration |
1. | Data Cleaning Fundamentals: Shape Your Data for Exploration | Skill Share | — | 01 Hour |
2. | Getting and Cleaning Data | John Hopkins University | ★★★★★ 4.5 | 19 Hours |
3. | Data Cleaning in Python Essential Training | LinkedIn Learning | ★★★★★ 4.5 | 01 Hour |
4. | Data Cleaning in Python Course | Udemy | ★★★★☆ 3.8 | 5.5 Hours |
5. | Excel: Data cleaning and analysis techniques | Udemy | ★★★★★ 4.5 | 01 Hour |
6. | Cleaning Data in Python | datacamp | ★★★★☆ 4.3 | 04 Hours |
7. | Prepare, Clean, Transform, and Load Data using Power BI | Coursera Project Network | ★★★★★ 4.6 | 02 Hours |
8. | Cleaning Data In R with Tidyverse and Data.table | Udemy | ★★★★★ 4.6 | 04 Hours |
9. | Cleaning Data in R | datacamp | — | 04 Hours |
10. | Master Course in Tableau Prep – Prepare & Clean Data | Udemy | ★★★★★ 4.7 | 03 Hours |
The selection of Leading Free Data Cleaning Courses online includes a meticulous process overseen by data science professionals. Each course is assessed based on factors like instructor expertise, positive learner feedback, curriculum depth, and relevance of taught skills in the real world. This careful vetting process is a guarantee that our recommendations are authoritative. Also, they offer learners the most efficient and practical insights into data-cleaning techniques.
Online Course Effectiveness Score | |||
Content | Engagement | Practice | Career Benefit |
Good ★★★★☆ | Good ★★★★☆ | Fair ★★★☆☆ | Fair ★★★☆☆ |
This course provides introductory knowledge regarding the free version of Trificata software, Curtis and Ginette’s tool for data cleaning.
Online Course Effectiveness Score | |||
Content | Engagement | Practice | Career Benefit |
Excellent ★★★★★ | Good ★★★★☆ | Fair ★★★☆☆ | Good ★★★★☆ |
During the course, you will learn the fundamentals of obtaining data from the web, APIs, databases, and colleagues in different formats. In the second phase of the course, core concepts of data cleaning and its methodology are discussed.
Online Course Effectiveness Score | |||
Content | Engagement | Practice | Career Benefit |
Good ★★★★☆ | Good ★★★★☆ | Fair ★★★☆☆ | Good ★★★★☆ |
In this engaging course, you will get the opportunity to acquire an accomplished skillset and reevaluate your insight toward data cleaning. The expert instructor in this course illustrates to you a few of the most productive features of data cleaning with applicable coding examples using Python.
Online Course Effectiveness Score | |||
Content | Engagement | Practice | Career Benefit |
Good ★★★★☆ | Good ★★★★☆ | Good ★★★★☆ | Good ★★★★☆ |
The targeted audience is those who are a novice of data and machine learning. The basic three components discussed in this course are Interpretation, Mathematical Evaluation, and coding.
Online Course Effectiveness Score | |||
Content | Engagement | Practice | Career Benefit |
Excellent ★★★★★ | Excellent ★★★★★ | Good ★★★★☆ | Good ★★★★☆ |
This course targets the audience whose aim is to achieve one of the takeaways including powerful and useful techniques of data cleaning and analysis using the TEXT function, expertise in Microsoft Excel to ace data cleaning tools in it, or competitive hands-on training with ease of affordability.
Online Course Effectiveness Score | |||
Content | Engagement | Practice | Career Benefit |
Excellent ★★★★★ | Fair ★★★☆☆ | Good ★★★★☆ | Fair ★★★☆☆ |
In this course, you will learn about types of data and handle them individually, apply range constraints, Learn record linkage (a very useful tool to merge various data sets), Calculation of similarity between strings, Skills to develop a single clean master dataset out of multiple ones and much more.
Online Course Effectiveness Score | |||
Content | Engagement | Practice | Career Benefit |
Excellent ★★★★★ | Good ★★★★☆ | Good ★★★★☆ | Good ★★★★☆ |
In this course you will learn about practical Transformation and Data cleansing using Power BI, multiple tasks include adding, removing, renaming, and splitting the columns, merging and unpivoting data, and much more.
Online Course Effectiveness Score | |||
Content | Engagement | Practice | Career Benefit |
Good ★★★★☆ | Excellent ★★★★★ | Fair ★★★☆☆ | Good ★★★★☆ |
In this course, the tidyverse package system is introduced. It is used throughout the data scrubbing process right from the start i.e. importing the data, till the end i.e. data query process. The popularity of this toolbox makes this course even more worthwhile.
Online Course Effectiveness Score | |||
Content | Engagement | Practice | Career Benefit |
Good ★★★★☆ | Good ★★★★☆ | Fair ★★★☆☆ | Fair ★★★☆☆ |
In this course, you will learn about the techniques to clean troubled data with help of using R, conversion of data types to handling partial and full duplicates, and much more.
Online Course Effectiveness Score | |||
Content | Engagement | Practice | Career Benefit |
Good ★★★★☆ | Good ★★★★☆ | Fair ★★★☆☆ | Fair ★★★☆☆ |
In this concise and compact course, you will learn about the basics of data cleaning, Tableau Preps functionality, and advanced techniques.
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