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README.md

General Assembly Logo

# Boston Schedule

Day Zero Stuff

Week - One Monday Tuesday Wednesday Thursday Friday
Morning Lecture 1.01 Datatypes 1.03 Functions 1.04 List Comprehension 1.06 Distributions - Discrete 1.07 Distributions - Continuous
Afternoon Lecture 1.02 Control Flow Early Release 1.05 Probability Outcomes Local Time
Assignments 1.01 Pokemon Lab 1.02 Distributions Lab
Due Quiz 1
Week - Two A Monday Tuesday Wednesday Thursday Friday
Morning Lecture NO CLASS 2.01 Pandas: Intro 1 (Basics) 2.03 Principles of Data Visualization 2.03 Principles of Data Visualization 2.05 Exploratory Data Analysis (EDA)
Afternoon Lecture NO CLASS 2.02 Pandas: Intro 2 (Features and Plotting) 2.03 Principles of Data Visualization Outcomes Programming
Assignments 2.01 Titanic EDA 2.02 Pandas Concatenation / Project 1
Due 1.01 Pokemon Lab 1.02 Distributions Lab
Week - Two B Monday Tuesday Wednesday Thursday Friday
Morning Lecture 2.07 Central Limit Theorem & Confidence Intervals Project 1 Presentations NO CLASS NO CLASS NO CLASS
Afternoon Lecture 2.08 Hypothesis Testing 2.09 Introduction to Ethics NO CLASS NO CLASS NO CLASS
Assignments 2.03 Inference Lab
Due Project 1 / 2.01 Titanic EDA
Week - Three Monday Tuesday Wednesday Thursday Friday
Morning Lecture 3.01 Simple Linear Regression 3.03 Regression Evaluation Metrics 3.05 Train/Test Split + Cross Validation 3.07 Regularization 3.08 Model Workflow
Afternoon Lecture 3.02 Multiple Linear Regression 3.04 Bias-Variance Tradeoff 3.06 Feature Engineering Outcomes Proramming Local Time
Assignments 3.01 Linear Regression Lab 3.02 Regularization and Validation Lab
Due 2.02 Pandas Concatenation 2.03 Inference Lab
Week - Four Monday Tuesday Wednesday Thursday Friday
Morning Lecture
Afternoon Lecture
Assignments
Due
Week - Five Monday Tuesday Wednesday Thursday Friday
Morning Lecture
Afternoon Lecture
Assignments
Due
Week - Six Monday Tuesday Wednesday Thursday Friday
Morning Lecture
Afternoon Lecture
Assignments
Due