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Data Science Interview videos - Coggle Diagram
Data Science Interview videos
Exploratory Data Analysis
Deal with missing data
Handle imbalanced dataset
Handle categorical data
Data and Sampling Distribution
Statistical experiments and significance Testing (A/B testing)
Z-test for proportions
Z-test for mean
A/B Testing Mistakes We All Make | Data Science Interview
What is One-sample T-test? Easy Explanation for Data Science Interview
s
What is Two-sample T-test? Easy Explanation for Data Science Interviews
equal variances
unequal variances
Regression and prediction
Logistic regression
Code in python
Linear regression
Code in python
Assumption of linear regression
Classification
Statistical Machine Learning
K-Nearest Neighbors
Code in python
Tree models
Decision Trees
Bagging and Random Forest
Random Forest
Boosting
L1 and L2 regularization
Crack Machine Learning Problems for Data Scientists | Data Science Interviews
Gradient Boosting
Ensemble Learning
Unsupervised Learning
PCA
K-Means Clustering
Code in python
K-means intro video
Feature selection
Resources
Best Books to Learn Data Science and Ace Interviews
OpenIntro Statistics
The Hundred-Page Machine Learning Book
https://github.com/chiphuyen/dmls-book/blob/main/resources.md
PCIP
Cracking Product Case Interviews: A Data-Driven Approach in 2023 | Data Science Interviews
SQL
Top SQL Interview Questions for Data Scientists | Data Science Interviews
Computing Ratios
Data Categorization
Cumulative Sums
Top SQL Interview Q&A for Data Scientists Pt 1 | Data Science Interviews
Top N Problem
LIMIT, OFFSET
Or FETCH
Or Window Function: ROW_NUMBER()
AVG(rate*1.0) to avoid integer number
Top N per category
ROW_NUMBER()
Top N per category with ties
DENSE_RANK()
Top SQL Interview Q&A for Data Scientists Pt 2 | Data Science Interviews
Calculating ratio
Subquery method
CASE WHEN
method : SUM or AVG
What's in a Real SQL Interview | Data Science Interview
SQL Window Functions on Data Science Interviews in 2023
SQL Window Functions for Data Scientists | SQL Interview | Data Science Interview
Behavior interview
Questions to Ask at the End of Data Science Interviews
Ask 3-5 questions to show your interest
Ask different questions to different people: What is your vision for the next year for the company? What gets you most excited working here?
What are some interesting projects you are working on?
Keep it positive
Avoid bias
Tell Me About Yourself For Data Scientists - Structure a Strong Answer
Connect the company's mission and value and role with my expeirence
5 Tips to Deliver a Killer Presentation in Data Science Interviews | Presentation | Onsite Interview
Focus on your impact.
Use your best stuff.
List the limitations.
Think through the technical details.
Remember that behavior does matter.
How to Explain Data Science Projects in Interviews | Project-based Questions
3 Tips for Explaining Data Science Projects in Interviews
Why You Fail the Behavioral Interview | Behavioral Interview Dos and Don'ts
Why do you want to join our company
How to Land a Senior Data Scientist Job (Product Case, Behavioral, and Presentation Tips)
Product case
Context: business model, stage of company, unique problem
Consider pitfalls
Privacy issue
Why do we need it?
How to Communicate Like a Pro in Data Science Job Interviews
Check in with interviewer
Actively listen
Use plain language instead of jarggon and abbr.
Understand interviewer's perspective
Show how you can bring value
Use summary first
Practice with friends and family
How to Impress Tech Recruiters: Sell Yourself in Phone Screens as a Data Scientist
Self-Intro
Memorable and Engaging
Recording yourself, sounds exciting
Recruiter is your friend
Resume and project
Using examples
Convey impact by numbers and business metrics that anyone can understand
Behavior questions
Why us?
What are you looking for in your next role?
What does a good team look like to you?
What are some of your long and short-term professional goals
What are some challenges you have faced while working at your current company?
Technical questions
Salary expectation
Would you mind sharing the range of salary and too compensation too?
Research the company
Mission and value
How they have developed
Technical blog
Questions for recruiter
What do you think makes this company's culture unique?
Where do you see the company in five years
Statistics
Ace Statistics Interviews: A Data-driven Approach For Data Scientists
p-value
Assumptions of linear regression
L.I.N.E.
Assumptions of t test
I.N.E
Correlation coefficient
Types of errors
Resume
Make Your Data Science Resume Stand Out 2023
How to Make a Great LinkedIn Profile for Data Scientists