enkeboll / dc_ds_04_22_19

Data science fellowship 04/22/19

Data science calendar

Calendar

Important links

student master sheet

Week I - mod1

	One	Two	Three	Four	Five
Warm-up		Dictionary solution	For loops solution	pandas & numpy solution	numpy *hard solution
Morning code			advanced loops	manipulating with pandas
Morning video			advanced loops video	manipulating with pandas video
Afternoon code	Terminal Git	assignment to loops	pandas & numpy intro	matplotlib
Afternoon video		assignment to loops video	TBD	matplotlib video

Week II - mod1

	Six	Seven	Eight	Nine	Ten
Warm-up	matplotlib solution	apply, lambda & groupby solution	dict + numpy random solution	Linear regression solution
Morning code	Tidy data Cleaning Lab	seaborn	Multiple linear regression	Cross - validation
Morning video		seaborn video	multiple linear regression video
Afternoon code	Coding best practices	Linear regression	Feature scaling & manipulation	Quality deliverables	Data Cleaning Coach Lab
Afternoon video	Best practice video	linear regression video		Quality deliverables video	Data Cleaning Coach Lab

Week IV - mod2

	Eleven	Twelve	thirteen	Fourteen	Fifteen
Warm-up		Matrix multiplication+ regression solution	SQL joins solution
Morning code	Sql		JSON
Morning video
Afternoon code		OOP	APIs	Scraping Lab - scraping & APIs
Afternoon video				Web Scraping / API

Week V - mod2

	Sixteen	Seventeen	Eighteen	Nineteen	Twenty
Warm-up	APIs
Morning code
Morning video
Afternoon code	SQL lab	SQL lab with solutions		Probability
Afternoon video

Week VI - mod3

	Twenty one	Twenty two	Twenty three	Twenty four	Twenty five
Warm-up			Bootstrap Solution	1. Uniform sampling Solution 2. P values	Binomial distribution Solution
Morning code		sampling + t dist.
Morning video
Afternoon code			hypothesis-testing	effect-power Distribution lab -audio
Afternoon video

Week VII - mod3

	Twenty six	Twenty seven	Twenty eight	Twenty nine	Thirty
Warm-up	t-test Solution	Naive bayes Solution
Morning code			Project	Project	Project
Morning video
Afternoon code
Afternoon video

Week VIII - mod4

	Thirty one	Thirty two	Thirty three	Thirty four	Thirty five
Warm-up
Morning code	Calculus	Lasso & Ridge	Classification
Morning video
Afternoon code			Logistic regression
Afternoon video

Week IX - mod4/mod5

	Thirty six	Thirty seven	Thirty eight	Thirty nine	Forty
Warm-up
Morning code		Project	Project
Morning video
Afternoon code	Time series - Bryan	Time series - Alison		KNN	SVM
Afternoon video		Time series

Week X - mod5

	Forty one	Forty two	Forty three	Forty four	Forty five
Warm-up	KNN	K means	PCA	Decision trees
Morning code	K-means	Decision trees	PCA	HDFS
Morning video		Decision trees
Afternoon code		Random forest lecture Randon forest lab		Data spark
Afternoon video		Random forest lecture Random forest lab

Week XI - mod5

	Forty six	Forty seven	Forty eight	Forty nine	Fifty
Warm-up	grid search pipeline	Interview Practice Questions
Morning code	Spark ML	Recommendations		July 4th
Morning video	Spark ML	Recommendations
Afternoon code
Afternoon video