DATA SCIENCE MATHS FOUNDATIONS MASTERCLASS FOR EVERY TECHNICAL COURSESThis course is bundle of two courses of linear algebra and probability and statistics. So, students will learn complete contents of probability and statistics and linear algebra. It is not like that you will not complete all the contents in this 7 hours videos course. This is a beautiful course and I have designed this course according to the need of the students.WHERE THIS COURSE IS APPLICABLE?Linear algebra and probability and statistics is usually offered for the students of data science, machine learning, python and IT students. So, that’s why I have prepared this dual course for different sciences. METHODOLOGYI have taught this course multiple times on my universities classes. It is offered usually in two different modes like, it is offered as linear algebra for 100 marks paper and probability and statistics as another 100 marks paper for two different or in a same semesters. I usually focus on the method and examples while teaching this course. Examples clear the concepts of the students in a variety of way like, they can understand the main idea that instructor want to deliver if they feel typical the method of the subject or topics. So, focusing on example makes the course easy and understandable for the students.2 IN 1 STUFFMany instructors (not kidding anyone but it is reality) put the 30 + hours just on one topic like linear algebra, which I think it is useless. Students don’t have the time to see the huge videos. So, that’s why I am giving the two stuffs in one stuff (2 in 1), linear algebra and probability and statistics. The complete course is very highly recognized and all the videos are high definition videos. LINEAR ALGEBRA SECTIONS INCLUDESIn linear algebra, the students will master the concepts of matrix and determinant, solution of non linear equations by different methods, vector spaces, linearly dependent and independent set of vectors, linear transformation and Gram’s Schmidt normalization process. PROBABILITY AND STATISTICS SECTIONS INCLUDESWhile in Probability and Statistics, the students will learn sample spaces, distributions, mean, median,mode and range. They will also learn the other contents of probability and statistics in a detail way. THE COMPLETE DETAIL OF CONTENTSTo see the complete contents, please visits the contents sections of this course. The videos are relatively long videos that starts from 10 minutes and end on 50 minutes. And the course has been designed on power point slides. All the concepts have been illustrated with the mouse curser on the slides. Just follow the voice over and the mouse curser to understand the concepts.MONEY BACK GUARANTEE It is not like that I have wasted the time anywhere in the course. I am giving you the genuine course contents presentations. So I promise you that you will not waste your money. Also Udemy has 30 day money back guarantee and if you feel that the course is not like that you were looking, then you can take your money back. WHAT PEOPLE ASK ABOUT MY COURSESHere are some review about my courses by the students.1- Brava Man: Superb course!!The instructor is very knowledgeable and presents the Quantum Physics concepts in a detailed and methodical way.We walked through aspects like doing research and implementation via examples that we can follow in addition, to actual mathematical problems we are presented to solve .2- Manokaran Masikova: This is a good course to learn about quantum mechanics from basic and he explained with example to understand the concept.3- Dr B Baskaran: very nice to participate in the course and very much interesting and useful also.4- Mashrur Bhuiyan: Well currently i am an Engineering student and i forgot the basics of my calculus . but this course helped me to get a good understanding of differentiation and integration. Overall all of the teaching method is good.5- Kaleem Ul Haq: Really a great explanations and each step have explain well. I am enjoying this course. He is familiar instructor in calculus. I have seen many lectures of this instructor before taking this course.Thanks for reading the description of this course. Hope you will join me in this course. Have a nice day and wish you good luck.