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Statistics & Applied Data Science Business Data Analysis - aretr - 11-03-2019 Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz Language: English | VTT | Size: 6.61 GB | Duration: 9 hours Data analysis FAQ related to interview questions in your career . What you'll learn Four main things you should know them in data analysis and business analysis HYPOTHESIS TESTING Normal distribution and standard normal in details using Z table . Sampling distribution with practical simulation apps and answering of important technical questions . Confidence level and Confidence interval . What is t distribution ? ( with projects ) Inferential and Descriptive statistics with collection of important quizzes and examples . One sample mean t test . Two sample means t test . How to calculate P value using manual and direct method ? What is after data analysis ? TWO PROJECTS related to hypothesis testing Null hypothesis and alternative hypothesis . What is P value ? Data types and Why we need to study data types ? What is Type one error ? Relationship between Type one error and Alpha ( non confident probability ) Is Normal distribution and t distributions are cousins ? Projects like Estimation of goals in premier league ( using confidence interval ) , and more .. and more to learn it Ice Cola example with student's t distribution . Help fisherman to catch Tuna using sampling distribution What is "double edged sword of statistics" ? Is programming something mandatory to learn data analysis and business analysis ? Which programming languages i should start with it ? Practical significance versus statistical significance , and more to learn .. and more to learn it Requirements Definitely no experience is required I will start from level ZERO and gradually step by step i will make you in advanced level . All i need from you is to be patient when learning and i'm sure you will love statistics and apply it in your real life Description 270+ video lectures include real life practical projects and examples for people need to learn statistics for Machine learning and Data Analysis . Do you like jobs in data analysis and data science ? Do you like jobs in Machine learning ? Do you like jobs in Marketing analyst ? Do you like jobs in Business analysis and business intelligence ? All of these jobs above need learning STATISTICS . Who prepared this course material ? This course material is prepared from highly experienced engineers worked in a leader companies like Microsoft , Facebook and google . After hard working from five months ago we created +270 Lectures/Articles to cover everything related to practical statistics . In no time with simple and easy way you will learn and love statistics . We stress in this course to make it very spontaneous to make all students love statistics . Who's teaching you in this course ? My name is Mahmoud , i'm senior consultant and system analyst engineer i worked for many projects related to expert Systems and artificial intelligence . Also i worked as Tutor and consultant trainer with a leader international companies located in USA and UK . I spent over five months of hard working to create +270 lectures/Articles with high quality to make all students enjoy and love statistics . I'm sharing a lot of practical experience from my own work with you in this course . What is my final goal after my students enroll in this course ? My final goal is to make all students and engineers love practical statistics . My big challenge in this course is to make it professional course at the same time it should be very easy and simple for all People . Therefore you will notice that i used a lot of graphics and imaginary ideas to make you LOVE STATISTICS . What is course contents ? Starting with FAQ related to interview questions in your career . What is after data analysis ? Descriptive statistics with collection of important quizzes and examples . Normal distribution and standard normal in details using Z table . Sampling distribution with practical simulation apps and answering of important technical questions . Confidence level and Confidence interval . DOWNLOAD Code: http://nitroflare.com/view/BF112505159647E/dcz8w.Statistics..Applied.Data.Science..Business.Data.Analysis.part1.rar Code: https://rapidgator.net/file/3f8408ed4528cae79bf4685edd591372/dcz8w.Statistics..Applied.Data.Science..Business.Data.Analysis.part1.rar |