Professional Courses
Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.
Categories
Interactive Games
Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.
Typing
Memory
Math
English Adventures
Knowledge
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does data quality refer to?
💡 Hint: Think about the characteristics that make data usable.
Question 2
Easy
Name one technique to handle missing data.
💡 Hint: Think about common approaches you've learned.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
Which of the following is a common issue in data quality?
- A. Consistency
- B. Duplication
- C. Completeness
💡 Hint: Consider what happens to data when there are repeated entries.
Question 2
True or False: Normalization is used to scale data to a specific range.
- True
- False
💡 Hint: What range are we typically targeting with normalization?
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a dataset with missing values, outline a strategy to handle these issues while preserving the dataset's integrity.
💡 Hint: Think about the context and significance of each data field.
Question 2
How would you write a Python function that detects and removes duplicates based on specific columns?
💡 Hint: Understand how to apply `drop_duplicates()` within a function context.
Challenge and get performance evaluation