Hello and welcome to the Data science lessons blog. to perform any data science task mathematics knowledge and its application will be really important. in fact, it's inevitable in the data science field. Mathematics can be divided into four parts for the Data Science field: 1) Statistics (Descriptive and Inferential): 2) Linear Algebra 3) Probability 4) Optimization 1) Statistics: I cannot imagine data science without this evergreen field of Statistics and its applications across the industries and research fields. basically, statistical methods help us to summerise quantitative data and to get insights out of it. it is not easy to gain any insights by just seeing raw numerical data in any way, until and unless you are a math genius! Topics about Descriptive Statistics: 1) Mean, Median, Mode 2) IQR, percentiles 3) Std deviation and Variance 4) Normal Distribution 5) Z-statistics and T-statistics 6) correlation and linear regression Topics about Inferential Statistics: 1) S...