Video e x ercises : Slides & transcript C OU R SE C R E ATION - PowerPoint PPT Presentation

Video e x ercises : Slides & transcript C OU R SE C R E ATION AT DATAC AMP Hadrien Lacroi x Content De v eloper

Video e x ercises First part of a lesson Learning objecti v e Presentation COURSE CREATION AT DATACAMP

COURSE CREATION AT DATACAMP

Str u ct u red scripts E x act w ords recorded What → Wh y → Ho w Sentences sho u ld � o w nat u rall y Be brief ( ideall y 400-500 w ords ) Ma x 600 w ords COURSE CREATION AT DATACAMP

B u ild a narrati v e Stor y telling Be ADEPT 1. Use an Analog y 2. Dra w a Diagram 3. Pro v ide a concrete E x ample 4. Describe it in Plain English 5. Pro v ide a Technical de � nition COURSE CREATION AT DATACAMP

Timeless scripts Don ' t Do Manip u lating Time Series Data in P y thon co u rse on time series manip u lation in P y thon I ' m a Data Scientist at Data Compan y X I ' m a Data Scientist I ' m w riting a book on Machine Learning Follo w me on T w i � er for u pdates The c u rrent v ersion of this package ... < Foc u s on the u tilit y, not the implementation > COURSE CREATION AT DATACAMP

D y namic slides D y namic : Add animations to lists Add animations to code A v oid " deadtime " Add mo v ement ( at least ) e v er y 30 seconds Animate b u llet points COURSE CREATION AT DATACAMP

B u llet points : What y o u sho u ld NOT do Machine learning w ork � o w Data e x ploration Data processing Modeling E v al u ation Impro v ements COURSE CREATION AT DATACAMP

B u llet points : What y o u sho u ld do Machine Learning w ork � o w Machine Learning w ork � o w 1. Data e x ploration {{1}} → 1. Data e x ploration 2. Data processing {{2}} → 2. Data processing 3. Modeling {{3}} → 3. Modeling 4. E v al u ation {{4}} → 4. E v al u ation 5. Impro v ements {{5}} → 5. Impro v ements COURSE CREATION AT DATACAMP

Code : What y o u sho u ld NOT do # Define trainControl function fitControl <- trainControl(method = "adaptive_cv", number = 3, repeats = 3, adaptive = list(min = 3, alpha = 0.05, method = "BT", complete = FALSE), search = "random") # Start timer tic() # Train model svm_model_voters_ar <- train(turnout16_2016 ~ ., data = voters_train_data, method = "svmPoly", trControl = fitControl, COURSE CREATION AT DATACAMP

Code : What y o u sho u ld do # Define trainControl function fitControl <- trainControl(method = "adaptive_cv", number = 3, repeats = 3, adaptive = list(min = 3, alpha = 0.05, method = "BT", complete = FALSE), search = "random") # Start timer tic() # Train model svm_model_voters_ar <- train(turnout16_2016 ~ ., data = voters_train_data, method = "svmPoly", trControl = fitControl, verbose = FALSE, tuneLength = 6) # Stop timer toc() COURSE CREATION AT DATACAMP

S y nta x highlighting COURSE CREATION AT DATACAMP

S y nta x highlighting Inp u t onl y : { p y thon }, { r } COURSE CREATION AT DATACAMP

Images : B u ilding a diagram (1) COURSE CREATION AT DATACAMP

Let ' s practice ! C OU R SE C R E ATION AT DATAC AMP

Interacti v e e x ercises C OU R SE C R E ATION AT DATAC AMP Sara Billen Content De v eloper

E x ercise t y pes M u ltiple Choice e x ercise M u ltiple Choice w ith Console e x ercise Coding e x ercise Iterati v e e x ercise Seq u ential e x ercise COURSE CREATION AT DATACAMP

Writing good sample code Sample code Sol u tion code # Open a file: file # Open a file: file file = open(____, file = open('moby_dick.txt, mode='____') mode='r') # Print it # Print it ____ print(file.read()) # Check whether file is closed # Check whether file is closed ____(file.closed) print(file.closed) # Close file # Close file () () COURSE CREATION AT DATACAMP

Let ’ s start e x ercising ! C OU R SE C R E ATION AT DATAC AMP

Respect the g u idelines C OU R SE C R E ATION AT DATAC AMP Shon Ino uy e Content Q u alit y Anal y st

Objecti v e of content g u idelines Goal : Enable st u dents to learn data science in a f u n and engaging w a y Content G u idelines : Ens u re that all content w e de v elop is in s y nc w ith o u r goal Pro v ide u sers w ith the best possible u ser e x perience COURSE CREATION AT DATACAMP

Reasoning : Consistenc y DataCamp has a rapidl y e x panding u ser base and content librar y Consistenc y across content to maintain prod u ct v ision in a scalable fashion COURSE CREATION AT DATACAMP

Reasoning : Optimi z ation for engagement Data collection on st u dent interactions w ith DataCamp allo w s u s to e x plore : Completion rate Percentage of st u dents asking for hints / sol u tions Co u rse rating Insight from pedagogical ( teaching - related ) research MIT st u d y recommending v ideo length to be < 6 min u tes COURSE CREATION AT DATACAMP

Instr u ction % Asked % Asked E x ercise Completion % of Length Hint Sol u tion Rate E x ercises (0, 100] 0.08 0.05 0.9971 5 (100, 200] 0.14 0.10 0.9926 16 (200, 300] 0.17 0.13 0.9922 21 (300, 400] 0.21 0.16 0.9898 20 (400, 500] 0.24 0.18 0.9889 15 (500, 600] 0.26 0.20 0.9886 10 Dri v es completion rates and % st u dents asking for hints / sol u tions 60 (0 9971) 99 71% i l ti 84% l ti COURSE CREATION AT DATACAMP

Other g u idelines G u ideline Reasoning Aim for co u rses to be completable w ithin 4 Shorter co u rses are more digestible and ho u rs ha v e higher completion rates Limit e x ercises to 15 lines of sample / sol u tion Ens u res that instr u ctions � t w ell w ithin a code page and limits scrolling Limit the n u mber of m u ltiple choice q u estions Ens u res learners do most of their learning in a co u rse to no more than 5 b y doing COURSE CREATION AT DATACAMP

Reso u rces Content G u idelines Co u rse Editor feat u res for Content G u idelines COURSE CREATION AT DATACAMP

GitH u b for co u rse re v ie w C OU R SE C R E ATION AT DATAC AMP Jeroen Hermans Head of Content Engineering

Back to the repo GitH u b G u ides COURSE CREATION AT DATACAMP

P u ll req u ests ( PR ) COURSE CREATION AT DATACAMP

Merge conflicts COURSE CREATION AT DATACAMP

Diffs COURSE CREATION AT DATACAMP

Re v ie w comments COURSE CREATION AT DATACAMP

Resol v e comments COURSE CREATION AT DATACAMP

Video e x ercises : Slides & transcript C OU R SE C R E ATION - PowerPoint PPT Presentation

Video e x ercises : Slides & transcript C OU R SE C R E ATION AT DATAC AMP Hadrien Lacroi x Content De v eloper Video e x ercises First part of a lesson Learning objecti v e Presentation COURSE CREATION AT DATACAMP COURSE CREATION AT

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