تفريغ صوتي

قمت بتفريغ كورس Statistics كامل باللغة الإنجليزية مدته 6 ساعات ونصف

حوالى 80000 كلمة

وهذا جزء مبدأي من الكورس حوالى 2000 كلمة من الكورس

hi my name is Elia and I will be taking you through statistics for data science and business analysis

I am a business graduate with a strong affinity for numbers I love statistics and Mathematics

in fact I enjoy the subject so much

I have competed nationally and internationally and if one multiple Awards in college competing was no longer a priority

so I turned to teaching I helped many people with their statistics and econometric studies

now this was my first online course and it's still the most sentimental one for me

since then I've worked on several other udemy courses on mathematics and machine learning

with this teaching experience under my belts

I came back to the statistics course and reworked everything the videos the editing

I added new lectures and corrected the confusing ones to make this an incredible experience for you

what about the curriculum the topics covered are some of my favorites as they are the basis of the whole data science field

so I am super excited and I hope you are too because this will be a great journey first we will start with the very Basics

we will learn about the different types of data and we will distinguish between population and Sample data

we will study the levels of measurement we can use the difference between categorical and numerical variables once

we have covered the introductory part of the course

we will be ready to learn about the central limit theorem normal

distribution students tea distribution and how to create use and interpret confidence intervals

these are some of the indispensable tools you need when making business decisions relying on data

you must be able to make predictions under uncertainty and well that's precisely

what you can do after completing this part of the course

then we will move on to hypothesis testing which is at the heart of

decision making each data-driven decision comes after a hypothesis test

you will learn how to formulate a hypothesis and act according to the result in the fourth part of

this course we will dive into the world of regression analysis regression analysis is a powerful tool that allows us to build predictive models based on causal relationships

specifically we will concentrate on the OLS setting the most widely used method for conducting regression analysis sounds great doesn't it

this will be an awesome adventure to get the most out of this course please don't skip any letters

as we will gradually build on your knowledge also the concepts you will learn in the first part of the course will be useful later

on now the lessons in this course contain several downloadable resources that will help you reinforce

what you have learned or snow I strongly suggest you complete all the exercises as they are designed not only for practice but also was an additional source of information are you excited awesome dive straighten and let's begin this journey together