This curriculum covers most of the concepts which are asked in the interviews. So there are main 5 big components that one should always be familier with.

👉 Data Structures
👉 Algorithms
👉 Concept problems and Maths
👉 Networks and OS concepts
👉 System Design

Here are the problems which you can solve after learning the concepts:

https://docs.google.com/document/u/0/d/1wUCqhVHydWiDk6FJdFLSMpgigNrGcs4OFZg0Wa7JGEw/mobilebasic

ENJOY LEARNING 👍👍

6 Tips on Interview Communication

Various types of test used in statistics for data science

T-test: used to test whether the means of two groups are significantly different from each other.

ANOVA: used to test whether the means of three or more groups are significantly different from each other.

Chi-squared test: used to test whether two categorical variables are independent or associated with each other.

Pearson correlation test: used to test whether there is a significant linear relationship between two continuous variables.

Wilcoxon signed-rank test: used to test whether the median of two related samples is significantly different from each other.

Mann-Whitney U test: used to test whether the median of two independent samples is significantly different from each other.

Kruskal-Wallis test: used to test whether the medians of three or more independent samples are significantly different from each other.

Friedman test: used to test whether the medians of three or more related samples are significantly different from each other.