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 function do we use to detect missing values in a pandas DataFrame?
💡 Hint: Think about what method checks for NaN values.
Question 2
Easy
Which method would remove all rows with missing data?
💡 Hint: Consider the action of dropping missing entries.
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 function is used to drop rows with missing values in pandas?
- dropna()
- remove_na()
- isnull()
💡 Hint: It starts with 'drop' and deals with NaN.
Question 2
True or False: Z-score is used to detect outliers.
- True
- False
💡 Hint: Consider what Z represents in statistical contexts.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a dataset with a 'Height' column in centimeters, write a function to find and remove outliers based on the IQR method. Explain each step taken.
💡 Hint: Remember to define Q1 and Q3 before filtering!
Question 2
Create a DataFrame with duplicate entries of a fictional customer dataset. Write code to identify and display these duplicates before using drop_duplicates() to remove them. Explain why this step is necessary.
💡 Hint: Think of duplicates like repeating unwanted guests at a party who mess up the fun!
Challenge and get performance evaluation