Мидтёрм 2го курса

Theory
There will be 20 questions, somehow similar to our quizzes. There will be questions with answer options / quick calculated questions.
Total points: 5
Topics:
2 questions — Lecture 2. Intro.
4 questions — Lecture 3. Variables.
4 questions — Lecture 4. Frequency distributions.
4 questions — Lecture 5. Measures of central tendency.
3 questions — Lecture 6. Measures of variability.
3 questions — Lecture 7. Z-scores & Outliers.
Practice
There will be a dataset with 15 tasks. All tasks require you to write a simple code in Python, some tasks require a short conclusion written in your own words.
Total points: 6
Topics:
2 tasks — dataset opening & basic checks.
2 tasks — new variables' creation.
2 tasks — dataset filtering.
2 tasks — grouping & aggregating.
1 task — finding measures of central tendencies.
1 task — finding measures of variability.
2 tasks — finding outliers according to a given definition.
3 task — working with missing data.