Overview
Recognize opportunities for data cleaning and prepare your dataset for the cleaning process., Implement common data cleaning steps such as handle missing values and formatting date/time columns., Understand and implement complex data cleaning tasks such as outlier removal and splitting/creating new columns., Develop and apply custom data transformation techniques to standardize and enhance dataset quality.
This course is designed for anyone working with data, including data analysts, data scientists, and aspiring professionals looking to enhance their data cleaning skills. If you frequently handle messy datasets and want to streamline your data preparation process using Python, this course will be especially valuable. It’s also ideal for students and beginners with basic Python knowledge who are eager to master Pandas and Pyspan for data cleaning tasks. Whether you're in the tech industry or just starting your data journey, this course will equip you with essential skills.
Basic understanding of Python programming., Understanding of using basic libraries like Pandas., A computer with internet access.
Master the essential techniques of data cleaning with pandas and pyspan in Python! This beginner-friendly course will help you transform messy, raw data into clean, ready-to-use datasets for analysis. Data cleaning is a crucial first step in any data project, and in this course, you’ll learn practical skills to tackle common data issues.
You’ll learn how to:
Handle missing data effectively.
Detect and remove outliers.
Format and organize data for better clarity.
Simplify your data cleaning process using pyspan.
We’ll start with a simple dataset, introducing basic data cleaning techniques step by step. By the end of the course, you’ll have a solid foundation in using Python’s pandas and pyspan libraries to clean and prepare data.
No prior data cleaning experience is required, but basic knowledge of Python is helpful. This course is perfect for beginners, aspiring data analysts, or anyone looking to improve their data preparation skills.
Throughout the course, you’ll work on practical exercises that will help you apply the techniques you learn in real-world scenarios. By completing this course, you’ll be ready to clean and prepare datasets for analysis with confidence. Whether you're entering the field of data analysis or just want to level up your Python skills, this course will provide the essential foundation you need.
Nooruddin Surani
Nooruddin Surani is an MBA in MIS, a Microsoft Certified Trainer for Office 2007 Master Program, Microsoft Excel 2010, Microsoft Excel 2013, Brainbench Master Certified for Excel 2007 (ranking 4 in world) and a Certified Information Systems Auditor (CISA). His vibrant personality combined with a unique blend of content and delivery makes the participants’ experience both educating and entertaining.
Surani has been associated with the application of Information Technology for more than 18 years and is actively involved in training and teaching as a visiting faculty with multiple reputable institutes.
Surani’s unique experience of working with the corporate sector includes designing & development of software solutions for medium to large sized industries, retail business management, educational, financial and banking institutions. After being engaged in consultancy assignments for leading organizations, Surani is thoroughly able to inspire and encourage those around him through his unique training style which enables maximum learning & retention in least possible time.
Besides being an ardent trainer, Surani also has to his credit several articles published in multiple IT related publications. Currently, he is working as the Chief Operating Officer at Viftech Solutions (Pvt.) Ltd., a software & information technology solution provider. Driven by a mission in life, Surani aims to provide better understanding to his participants enabling them to focus better and achieve the results they seek!