Introduction to Data Cleaning in Python

Most of the data available to organizations globally are highly unstructured and require refinement. As a consequence, preparing and cleaning data are vital steps in the data science process towards producing timely and insightful models. Traditionally, and prior to the emergence of "big data", information stores have presented clean and analyzable formats in the form of tables and rows. As data are now sourced from untraditional means across an array of gathering points, including text, audio, and social media, information will not be as neatly packaged as before, burdening end users with missing values, incomplete information, and abnormalities.

By taking this course, attendees will learn how to address some of the most common challenges relating to preparing and cleaning data for complex analytical tasks within the business and finance domains. Students will also be exposed to Python’s popular tools and packages that focus on visually exploring and cleaning real-world datasets. Upon completion of this course, students will understand the importance and time commitment associated with data preparation, and will be able to take Cognitir’s philosophy on data cleaning and exploration back to the job to conduct effective real-world data science projects.

Attendees can use either a Mac or Windows computer for this class.

Please note that basic Python programming skills are required for this course. Cognitir will provide an outline of required skills and recommend a free, online Python course to participants if no prior skills are existent.

In order to successfully complete this workshop, you do need to have basic knowledge of the Python programming language. Please look at our Introduction to Python course as a baseline for relevant knowledge required for the Data Cleaning in Python class. Cognitir will also recommend a free, online Python course to participants for this course which needs to be completed if no equivalent skills are existent.

Introduction to Data Science focuses on a broad range of topics including machine learning, classification, and popular data science methodologies. This data cleaning course is purely concentrated on teaching the fundamentals of data cleaning and exploration.

No. Data cleaning using Python is highly useful for professionals from all industries, especially those working with large amounts of complex and alternative sources of data.

You will need a PC (Windows Vista or newer), Mac (OS X 10.7 or newer), or Linux (Ubuntu, RedHat and others; CentOS 5+).

Yes, you will need to download and install free Python software on your laptop. In case you are planning on using a company laptop, please make sure that you have the necessary rights to install the tools. We will send out detailed information on the download and installation procedures a few days before the course starts.

Visit our FAQs to see commonly asked questions from participants.