Description
Curriculum
FAQs
About Us
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This course empowers you to transform messy datasets into accurate, consistent, and analysis-ready data. You’ll learn how to handle missing values, remove duplicates, and fix inconsistencies to ensure data quality. With an interactive coding environment, practical examples, and hands-on exercises, this beginner-friendly course provides everything you need to build confidence in cleaning and preparing data for meaningful insights. Plus, module-based quizzes and a final graded assessment help you evaluate and reinforce your learning every step of the way.
What you'll learn
- Identify missing, duplicate, and inconsistent data in datasets using Python libraries.
- Apply appropriate techniques to handle missing data, including dropping and imputing values.
- Implement methods to detect and remove duplicate records to ensure data accuracy.
- Analyze datasets for inconsistencies and determine suitable standardization techniques.
Course requirements
You must meet the following requirements for successfully completing the course and obtaining your certificate:
- Complete all sections of the course content.
- Attain a minimum grade of 80% in the final graded quiz.
Target audience
- Beginners looking to develop essential data cleaning skills in Python.
Prerequisites
- Basic knowledge of Python syntax
- Understanding of data structures like pandas Series and DataFrames
The course can be completed in 2-3 hours. It’s designed to be quick and focused on fundamental concepts of data cleaning, allowing you to learn at your own pace.
Assessments are conducted through quizzes at the end of each module and a final graded quiz. These quizzes are designed to test your understanding of the topics covered and provide immediate feedback.
Yes, additional resources are included in the Wrap Up module under the “Supplementary Resources” section for learners who wish to explore specific topics further.
Yes, upon successful completion of all modules and achieving at least 80% in the final course assessment, you will receive a certificate of completion that you can share with your professional network.
Yes, you can retake quizzes multiple times. The goal is to ensure you understand the material thoroughly, so feel free to review and try again.
You can track your progress using the completion rate tracker, which shows the modules you have completed and your overall progress.
Yes, you can join the Data Science Dojo Discord server (https://discord.gg/k9WRNjwj) where you can post queries. The community, teaching assistants, and experts are available to help answer your questions.
Once enrolled, you will have lifetime access to the course, allowing you to start or revisit the course anytime without any time restrictions.
Yes, you will have access to all future updates and improvements to the course content at no additional cost, keeping you up-to-date with the latest trends.
No, course access is for individual use only. Sharing your login credentials is against the policy and may result in termination of access.
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