Practical Data Cleaning
3.6 (16 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
2,353 students enrolled
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Practical Data Cleaning

19 Essential Tips to Scrub Your Dirty Data
3.6 (16 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
2,353 students enrolled
Created by Lee Baker
Last updated 6/2017
English
Price: Free
Includes:
  • 38 mins on-demand video
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • organise your datasets in a way that will save you time
  • reduce the amount of mistakes you make when entering data into Excel
  • become more productive
  • get your results much faster
View Curriculum
Requirements
  • There are no prior requirements for this course - just a need to understand and handle data more efficiently!
Description

“Data is a lot messier and noisier than people want to acknowledge”

Nate Silver

If you want to get the most out of your data, you're going to need to treat it with respect.

Most textbooks on data tend not to dwell on practical issues because, well, it can get quite messy. But if you're organised and follow a few simple rules your data cleaning processes can be simple, fast and effective - saving you time and money.

Practical Data Cleaning is a thorough introduction to the basics of data cleaning, is perfect for beginners, and takes you through:

  • Data Collection
  • Data Cleaning
  • Data Classification *Enhanced Section*
  • Data Integrity


Why do things the difficult way when you can do them simply? It really is all about spending a little bit of time to organise yourself and apply some neat tips and tricks to your process.

If you watch this video course you WILL:

  • organise your datasets in a way that will save you time
  • reduce the amount of mistakes you make when entering data into Excel
  • become more productive
  • get your results much faster


When you get your data organised, your data cleaning processes become much easier and faster, giving you time to plan your next holiday on company time (I won't tell the boss if you won't...).

This is what you will be learning in the Practical Data Cleaning video course.

This FREE video course will introduce you to the basic principles of why and how your data should be entered onto a single worksheet.

It will also teach you how to utilise multiple worksheets in your workbook to build a chronological flow into your data cleaning processes so you can detect when, how and where errors were introduced.

Everything is explained in simple language and is perfect for beginners.

Who is the target audience?
  • Anyone who has difficulty in handling, processing and cleaning data
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Curriculum For This Course
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Introduction
1 Lecture 05:32
Meet Your Presenter
05:32
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Practical Data Cleaning Video Course
6 Lectures 32:37
The Problem With Data
03:04

Practical Data Cleaning - Part 1 - Data Collection
15:26

Practical Data Cleaning - Part 2 - Data Cleaning
06:12

Practical Data Cleaning - Part 3 - Data Classification
05:05

Practical Data Cleaning - Part 4 - Data Integrity
02:40

Practical Data Cleaning - Part 5 - Supplementary Material
00:10
About the Instructor
Lee Baker
3.6 Average rating
16 Reviews
2,353 Students
1 Course
Founder - Chi-Squared Innovations & Data Science University

Lee Baker is an award-winning software creator with a passion for turning data into a story.

A proud Yorkshireman, he now lives by the sparkling shores of the East Coast of Scotland. Physicist, statistician and programmer, child of the flower-power psychedelic ‘60s, it’s amazing he turned out so normal!

Turning his back on a promising academic career to do something more satisfying, as the CEO and co-founder of Chi-Squared Innovations and the Data Science University he now works double the hours for half the pay and 10 times the stress - but 100 times the fun!

He also wanted to be rich, famous and good looking. Ah well.