Data 8

Week 14: Classification and Conditional Probability

This week we will be going over how to work with categorical data. How do we create a model if we want to output labels instead? We will be going over an int...

Week 13: Regression Inference and Residuals

Now you have learned Linear Regression techniques, it is time that we start to look at the behavior of our models that we create. In other words, how do they...

Week 12: Linear Regression

Slowly, we are moving into the modeling domain. Everything we do contain certain assumptions. A model is basically a world in which we impose certain assumpt...

Week 11: Sample Means

There are some interesting properties to collecting the means of bootstrapped samples. CLT states that the distribution of sample means is normal. This is a ...

Week 10: Bootstrapping and Confidence Intervals

Welcome back from Spring Break. We will be diving more into the statistics module and practice bootstrapping and confidence intervals. We know that samples c...

Week 9: AB-Testing

Congratulations, you all! 🙌 You completed the midterm. Grades will be released together with the midsemester grade report. Please note that discussion attend...

Week 8: Hypothesis Testing (Continued) and Midterm Prep

As we have introduced hypothesis testing and models to you last week, we will dive a little deeper into a more formalized approach. You will get to practice ...

Week 7: Hypothesis Testing

We will slowly be transitioning into the statistical inference part of the class. How do we make decision based on data and uncertainty? We will start formal...

Week 6: Control Flow and Iteration

In lecture, professor Ayazifar taught you about control flow and iteration, well known as conditionals/if-statements and for loops. Conditionals allow us to ...

Week 5: Functions, Tables and Project 1

Starting from now on, I will be putting both labs and discussions in one post to make it easier to find resources related to that specific week!

Week 4 Lab: Functions & Visualizations

Corresponding Readings

Week 4 Discussion: Visualizations and Histograms

Understanding your dataset is extremely important if you want to move to numerical inference or to prediction. We have to look for patterns that make sense a...

Week 3 Lab: Data Types & Table Manipulations

Corresponding Readings

Week 3 Discussion: Data Types & Table Manipulations

This week we will be diving a little deeper into python and using tables with the datascience library. As we know, a lot of data lives in tables. In this dis...

Week 2 Lab: Table Operations

Tables are the most important data structure within Data Science. Databases, our conceptions of data revolve about this notion that data consist of individua...

Week 2 Discussion: Introduction to Tables

Nice to meet you! This week we will be touching on topics that you have discussed in lecture, namely python programming and tables. We won’t go too much into...

Week 1 Lab: Introduction & Expressions

First of all, welcome to Data 8!