🗓️ Week 04 - Statistical Inference I

2022/23 Lent Term

Author

This week, we move away from the Computer Science side of Data Science and we start exploring the basic concepts of Statistics every data scientist should know. We will talk about population, samples, distributions and probability. We will also learn how to use R to conduct an exploratory data analysis (mostly plots) on your data.

Next week, we will explore the statistical inference side of Statistics more closely.

👨‍🏫 Lecture Slides

Either click on the slide area below or click here to view it in fullscreen. Use your keypad to navigate the slides. You can also find a PDF version on Moodle.

🎥 Looking for lecture recordings? You can only find those on Moodle.

✍️ Summative: worth 10%

Each group will be assigned a topic to present on Week 05 (class)
Group allocation and topics will be determined on Week 04 (class)
Each group will have to prepare slides for a short presentation (12-15 minutes)
A discussion will follow the presentation (10 minutes)

📚 Recommended Reading

Check the end of slides for the list of references cited in the lecture.
Check the 📔 Syllabus for this week’s complete list of indicative and recommended readings.

📟 Communication

Post your reflections, questions, and links on Slack.