...

Full Bio

Google Go Language Future, Programming Language Programmer Will Get Best Paid Jobs

77 days ago

New Coder Tool Promises to Turbo-Charge Coding In Major Programming Language

78 days ago

Why Many Companies Plan To Double Artificial Intelligence Projects In The Next Year

78 days ago

Why 75% SMBs Are Not Worried About Artifical Intelligence Killing Their Jobs

78 days ago

Interview Study Guide for Data Science To Get Job Quickly

81 days ago

Highest Paying Programming Language, Skills: Here Are The Top Earners

637641 views

Top 10 Best Countries for Software Engineers to Work & High in-Demand Programming Languages

472245 views

Which Programming Languages in Demand & Earn The Highest Salaries?

444015 views

50+ Data Structure, Algorithms & Programming Languages Interview Questions for Programmers

262122 views

100+ Data Structure, Algorithms & Programming Language Interview Questions Answers for Programmers - Part 1

224211 views

### Interview Study Guide for Data Science To Get Job Quickly

121 best resources to help you land your data science dream job.

- A die is rolled twice. What is the probability of showing a 3 on the first roll and an odd number on the second roll?
- In any 15-minute interval, there is a 20% probability that you will see at least one shooting star. What is the probability that you see at least one shooting star in the period of an hour?
- Alice has 2 kids and one of them is a girl. What is the probability that the other child is also a girl? You can assume that there is an equal number of males and females in the world.
- How many ways can you split 12 people into 3 teams of 4?

- Bias-Variance Trade-Off
- Confusion Matrix
- ROC curve
- Normal Distribution
- P-Value
- Pearson Spearman
- Normal distribution problem: z-scores (from ck12.org)
- Continuous Probability Distributions
- Standardizing Normally Distributed Random Variables (fast version)
- Statistics 101: Simple Linear Regression, The Very Basics
- Statistics 101: Linear Regression, Outliers, and Influential Observations
- Statistics 101: ANOVA, A Visual Introduction
- Statistics 101: Multiple Regression, The Very Basics
- Statistics: Variance of a population | Probability and Statistics | Khan Academy
- Expected Value: E(X)
- Law of large numbers | Probability and Statistics | Khan Academy
- Central limit theorem | Inferential statistics | Probability and Statistics | Khan Academy
- Margin of error 1 | Inferential statistics | Probability and Statistics | Khan Academy
- Margin of error 2 | Inferential statistics | Probability and Statistics | Khan Academy
- Hypothesis testing and p-values | Inferential statistics | Probability and Statistics | Khan Academy
- One-tailed and two-tailed tests | Inferential statistics | Probability and Statistics | Khan Academy
- Type 1 errors | Inferential statistics | Probability and Statistics | Khan Academy
- Large sample proportion hypothesis testing | Probability and Statistics | Khan Academy
- Boosting and Bagging