Pierian Data Inc. Science Career Guide Course Guidebook
User Manual:
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Page Count: 18
Table of Contents
Table of Contents
Course Overview
Data Science Career Overview
DS Career Overview Slides:
Why Choose a Career in Data Science?
Data Science is Interdisciplinary
Data Science Positions and Titles
Data Science Interview Preparation
Technical Tools of the Trade
Theory Knowledge
Machine Learning Knowledge
Software Knowledge
Data Science Interview Process
Resumes
Interview Process
Landing Interviews
Negotiating Offers
Probability Theory Resources
Probability Slides:
Probability Question 1 Help - Consecutive Coin Flip
Probability Question 2 Help - Dice roll sum of 4 Odds
Probability Question 3 Help - Dice roll with at least one 4
Probability Question 4 Help - Red and Blue Marbles
Probability Question 5 Help - Odds of Car in 10 Minutes
Probability Question 6 Help - Average Flips for 2 Heads in a Row
Probability Question 7 Help - 1 Biased Coin of 10
Probability Question 8 Help - Simulating Fair Coin from Biased Coin
Probability Question 9 Help - Alice, Odds of having another Girl
Statistics Resources
Statistic Slides:
Statistics Question 1 Help - Raining in Seattle
Statistics Question 2 Help - Quantum Messaging
Statistics Question 3 Help - Type I vs Type II Errors
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Statistics Question 4 Help - New Virus Test
Statistics Question 5 Help - Motor Life Guarantee
Product Design and Metrics Resources
Product Design and Metrics Slides:
Product Design and Metrics Interview Question 1 - FB Messenger
Product Design and Metrics Interview Question 2,3,4 - A|B Google
Product Design and Metrics Interview Question 5 - Car Gas Usage
Working with Data with SQL Resources
SQL Interview Question 1 - Query Check
SQL Interview Question 2 - Query Check
SQL Interview Question 3 - Query Check
SQL Interview Question 4 - Employees and Managers
SQL Interview Question 5 - Employees and Managers
Machine Learning Resources
Machine Learning Slides
Machine Learning Question 1 - Linear Regression Assumptions
Machine Learning Question 2 - Logistic Regression
Machine Learning Question 3 - Decision Tree Splits
Machine Learning Question 4 - Decision Tree Advantages
Machine Learning Question 5 - Random Forest vs Boosting
Machine Learning Question 6 - Naive Bayes Assumptions
Machine Learning Question 7 - How SVM Works
Machine Learning Question 8 - Overfitting
Machine Learning Question 9 - Accuracy, Precision, Recall
Machine Learning Question 10 - Regression Metrics
Design of Experiments Resources
Design of Experiments Slides:
Design of Experiments Question 1 - A|B Testing
Design of Experiments Question 2 - Biases
Design of Experiments Question 3 - Multiple Versions of Page Testing
Design of Experiments Question 4
Coding Resources
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Course Overview
Welcome to the course!
This guide contains the resources and links mentioned in
the lecture in one convenient location.
If during the course videos you hear us mention
resources or links, just open up this guidebook to find
them!
You can use the Table of Contents as links to directly
jump to whatever location you need to go to.
Best of luck on your data science journey!
If you ever have a need for corporate training, feel free to
reach us at training@pieriandata.com.
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Data Science Career Overview
DS Career Overview Slides:
https://docs.google.com/presentation/d/1V1GDbnU00fZbejq3U61e3D-TgB0FxkyrlyURpDtAEH8/e
dit?usp=sharing
Why Choose a Career in Data Science?
Deciding on a Data Science Career:
https://www.kdnuggets.com/2014/03/data-scientist-right-career-path-candid-advice.html
http://www.datacenterjournal.com/consider-career-data-science/
Data Science is Interdisciplinary
Overviews of Data Science:
https://datascience.nyu.edu/what-is-data-science/
https://en.wikipedia.org/wiki/Data_science
Data Science Positions and Titles
Large list of various job titles:
https://www.datasciencecentral.com/profiles/blogs/job-titles-for-data-scientists
https://www.datasciencecentral.com/profiles/blogs/400-categorized-job-titles-for-data-scientists
Thoughts on Higher Education
Other opinions on higher education:
https://www.kdnuggets.com/2014/06/masters-degree-become-data-scientist.html
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Data Science Interview Preparation
Technical Tools of the Trade
Python:
https://www.python.org/
R:
https://www.r-project.org/about.html
Theory Knowledge
Free Online Stats Books:
http://onlinestatbook.com/
https://www.openintro.org/stat/textbook.php
Machine Learning Knowledge
Great Book on Machine Learning (Free):
http://www-bcf.usc.edu/~gareth/ISL/ISLR%20Seventh%20Printing.pdf
Software Knowledge
Tableau:
https://www.tableau.com/
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Data Science Interview Process
Resumes
Example Data Science Resume:
http://will-stanton.com/creating-a-great-data-science-resume/
https://docs.google.com/document/d/1ktqmnyG8olnZ24DqJZ3G9h619ng-JYeiY6gNh-i_Q6o/edit
https://www.monster.com/career-advice/article/data-scientist-resume-sample
Interview Process
AirBnb’s Interview Process:
https://medium.com/@AirbnbCandidateJourney/leveling-the-playing-field-an-overview-of-airbnb-s
-data-science-interview-process-bd0660b77a17
Nice Guide to Interviews:
https://www.linkedin.com/pulse/how-ace-data-science-interview-vin-vashishta/
Someone’s experience with DS Interviews
https://alyaabbott.wordpress.com/2014/10/01/how-to-ace-a-data-science-interview/
Nice write ups on other individual's process:
https://medium.com/@XiaohanZeng/i-interviewed-at-five-top-companies-in-silicon-valley-in-five-d
ays-and-luckily-got-five-job-offers-25178cf74e0f
More thoughts on interviews:
https://www.quora.com/How-do-I-prepare-for-a-data-scientist-interview
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Landing Interviews
Experience Essay Blog Post:
http://www.erinshellman.com/crushed-it-landing-a-data-science-job/
General Discussion:
http://treycausey.com/data_science_interviews.html
Nide Guide:
http://data-informed.com/six-secrets-to-landing-a-job-in-data-science/
Negotiating Offers
Guides for Salary Negotiation:
https://www.nerdwallet.com/blog/loans/student-loans/negotiate-salary-evaluate-offer/
https://www.themuse.com/advice/how-to-negotiate-salary-37-tips-you-need-to-know
https://www.thebalance.com/salary-negotiation-tips-how-to-get-a-better-offer-2063439
https://www.washingtonpost.com/graphics/business/womens-wages/salary-negotiation-guide-wo
men/
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Probability Theory Resources
Probability Slides:
https://docs.google.com/presentation/d/13M9iCeBU8fngtU4tzjudMCmmP6Fd3BsCUuycCuH3PlE/
edit?usp=sharing
Probability Question 1 Help - Consecutive Coin Flip
https://math.stackexchange.com/questions/112726/coin-tossed-until-two-consecutive-heads-or-tai
ls-appear
https://en.wikipedia.org/wiki/Geometric_series#Sum
https://en.wikipedia.org/wiki/Expected_value#Finite_case
Probability Question 2 Help - Dice roll sum of 4 Odds
http://alumnus.caltech.edu/~leif/FRP/probability.html
Probability Question 3 Help - Dice roll with at least one 4
http://alumnus.caltech.edu/~leif/FRP/probability.html
Probability Question 4 Help - Red and Blue Marbles
https://www.techinterview.org/post/526363745/red-marbles-blue-marbles/
Probability Question 5 Help - Odds of Car in 10 Minutes
https://www.quora.com/If-the-probability-of-observing-a-car-in-30-minutes-on-a-highway-is-0-95-
what-is-the-probability-of-observing-a-car-in-10-minutes-assuming-constant-default-probability
https://math.stackexchange.com/questions/52113/probability-calculations-on-highway
Probability Question 6 Help - Average Flips for 2 Heads in a Row
https://www.codechef.com/wiki/tutorial-expectation
https://courses.cit.cornell.edu/info2950_2012sp/mh.pdf
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Probability Question 7 Help - 1 Biased Coin of 10
https://en.wikipedia.org/wiki/Bayes%27_theorem
Probability Question 8 Help - Simulating Fair Coin from Biased Coin
http://www.eecs.harvard.edu/~michaelm/coinflipext.pdf
https://jeremykun.com/2014/02/08/simulating-a-fair-coin-with-a-biased-coin/
Probability Question 9 Help - Alice, Odds of having another Girl
https://math.stackexchange.com/questions/15055/in-a-family-with-two-children-what-are-the-chan
ces-if-one-of-the-children-is-a
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Statistics Resources
Statistic Slides:
https://docs.google.com/presentation/d/1VCLkMu3CRTuSN-nC4EaPVwhXd9a_0p-4S-ci5FJRJKI/e
dit?usp=sharing
Statistics Question 1 Help - Raining in Seattle
https://www.mathsisfun.com/data/probability-tree-diagrams.html
Statistics Question 2 Help - Quantum Messaging
https://www.intmath.com/counting-probability/12-binomial-probability-distributions.php
Statistics Question 3 Help - Type I vs Type II Errors
https://en.wikipedia.org/wiki/Type_I_and_type_II_errors
Statistics Question 4 Help - New Virus Test
https://www.math.hmc.edu/funfacts/ffiles/30002.6.shtml
Statistics Question 5 Help - Motor Life Guarantee
http://www.z-table.com/
https://statistics.laerd.com/statistical-guides/normal-distribution-calculations.php
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Product Design and Metrics Resources
Product Design and Metrics Slides:
https://docs.google.com/presentation/d/1pY15hTUjMyzDEI-RenE-hvwJsfZNIJCp4TRVkGsLR0o/edi
t?usp=sharing
Product Design and Metrics Interview Question 1 - FB Messenger
https://savvyapps.com/blog/mobile-app-analytics
Product Design and Metrics Interview Question 2,3,4 - A|B Google
https://en.wikipedia.org/wiki/A/B_testing
https://www.pardot.com/blog/abcs-ab-testing/
http://online-behavior.com/testing/advanced-ab-testing-tactics-1356
Product Design and Metrics Interview Question 5 - Car Gas Usage
https://www.glassdoor.com/Interview/business-sense-There-are-two-types-of-cars-A-and-B-The-n
umber-of-people-in-US-who-use-A-and-B-are-the-same-They-driv-QTN_831574.htm
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Working with Data with SQL Resources
SLIDES:
https://docs.google.com/presentation/d/1YXmZ1Uu9TL5ckxNOk8c7k8a6dd3Lk_DbG30hOPatQV
g/edit?usp=sharing
SQL Interview Question 1 - Query Check
https://www.w3schools.com/sql/sql_alias.asp
SQL Interview Question 2 - Query Check
https://www.w3schools.com/sql/sql_groupby.asp
SQL Interview Question 3 - Query Check
https://www.w3schools.com/sql/sql_having.asp
SQL Interview Question 4 - Employees and Managers
https://www.w3schools.com/sql/default.asp
SQL Interview Question 5 - Employees and Managers
https://www.w3schools.com/sql/sql_join.asp
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Machine Learning Resources
Machine Learning Slides
https://docs.google.com/presentation/d/1VvSWus6sjXEV7WG7FuH__Pi5rwB0_WlKc7A5Whx5gV
g/edit?usp=sharing
Machine Learning Question 1 - Linear Regression Assumptions
http://www.statisticssolutions.com/assumptions-of-linear-regression/
http://r-statistics.co/Assumptions-of-Linear-Regression.html
https://stats.stackexchange.com/questions/16381/what-is-a-complete-list-of-the-usual-assumption
s-for-linear-regression
Machine Learning Question 2 - Logistic Regression
https://en.wikipedia.org/wiki/Logistic_regression
http://dataaspirant.com/2017/03/02/how-logistic-regression-model-works/
Machine Learning Question 3 - Decision Tree Splits
https://en.wikipedia.org/wiki/Information_gain_in_decision_trees
http://dni-institute.in/blogs/cart-decision-tree-gini-index-explained/
https://link.springer.com/article/10.1023/B:AMAI.0000018580.96245.c6
Machine Learning Question 4 - Decision Tree Advantages
https://en.wikipedia.org/wiki/Decision_tree_learning
http://www.brighthubpm.com/project-planning/106000-advantages-of-decision-tree-analysis/
http://www.simafore.com/blog/bid/62333/4-key-advantages-of-using-decision-trees-for-predictive
-analytics
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Machine Learning Question 5 - Random Forest vs Boosting
http://fastml.com/what-is-better-gradient-boosted-trees-or-random-forest/
https://www.quora.com/When-would-one-use-Random-Forests-over-Gradient-Boosted-Machines-
GBMs
https://discuss.analyticsvidhya.com/t/what-is-the-fundamental-difference-between-randomforest-a
nd-gradient-boosting-algorithms/2341
https://stats.stackexchange.com/questions/173390/gradient-boosting-tree-vs-random-forest
Machine Learning Question 6 - Naive Bayes Assumptions
https://nlp.stanford.edu/IR-book/html/htmledition/properties-of-naive-bayes-1.html
https://en.wikipedia.org/wiki/Naive_Bayes_classifier
Machine Learning Question 7 - How SVM Works
https://en.wikipedia.org/wiki/Support_vector_machine
Machine Learning Question 8 - Overfitting
https://en.wikipedia.org/wiki/Overfitting
https://www.quora.com/What-is-an-intuitive-explanation-of-over-fitting-particularly-with-a-small-sa
mple-set-What-are-you-essentially-doing-by-over-fitting-How-does-the-over-promise-of-a-high-R%
C2%B2-low-standard-error-occur
Machine Learning Question 9 - Accuracy, Precision, Recall
https://en.wikipedia.org/wiki/Precision_and_recall
Machine Learning Question 10 - Regression Metrics
https://people.duke.edu/~rnau/compare.htm
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Design of Experiments Resources
Design of Experiments Slides:
https://docs.google.com/presentation/d/1mmfJyhApROEfTZrNAIFlGJfS0lRDsJXD3Fr2WhhgxEI/ed
it?usp=sharing
Design of Experiments Question 1 - A|B Testing
https://www.optimizely.com/optimization-glossary/ab-testing/
https://en.wikipedia.org/wiki/A/B_testing
Design of Experiments Question 2 - Biases
https://en.wikipedia.org/wiki/Bias_(statistics)
http://www.statisticshowto.com/what-is-bias/#Availability
Design of Experiments Question 3 - Multiple Versions of Page Testing
https://en.wikipedia.org/wiki/Multi-armed_bandit
https://www.searchenginepeople.com/blog/16072-multi-armed-bandits-ab-testing-makes-money.
html
Design of Experiments Question 4
http://rpsychologist.com/d3/NHST/
https://onlinecourses.science.psu.edu/stat414/book/export/html/245
https://en.wikipedia.org/wiki/Statistical_power
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Coding Resources
Coding Slides
https://docs.google.com/presentation/d/15SCi6Fpjq0edRYhM5w7GDZBm3kdeUsWg8kSEHVziYZ
g/edit?usp=sharing
Coding Interview Question 1 - Largest Continuous Sum
Solution Link in Python:
https://gist.github.com/Pierian-Data/51202d7a84e36537df97a7c9ca78061f
Coding Interview Question 2 - String Compression
Solution Link in Python:
https://gist.github.com/Pierian-Data/4c85a5adc36a282223065d52cc178595
Coding Interview Question 3 - Stock Prices
Solution Link in Python:
https://gist.github.com/Pierian-Data/a17fd7357aeb919306864fe435e6ed15
Coding Interview Question 4 - Missing Element
Solution Link in Python:
https://gist.github.com/Pierian-Data/eaa589bb6ad88a5ec00b42d8d0f29328
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