Hello everyone, a big congratulations on completing this course.
In this course, we learned about a lot of concepts.
There are few difficult topics like different types of probability distributions or central limit theorem, we got to know about them in detail.
We saw how hypothesis tests can be easily performed in Excel and what is the importance of them in real world.
Many important topics which are asked a lot in the interviews, like what is the “P” value? What is the difference between type one and type two error and we have discussed in detail about modules like linear regression.
We also got to know that how we use a best fit line equation in simple linear equation.
We have memorised them all properly, we have seen them properly in the form of examples.
So, if I summarise that on which pattern, we have completed this course.
So, let's see that walkthrough ones.
First of all, we saw what is the introduction to statistics.
Then in descriptive statistics, we covered many important concepts, where we saw the outliers, how the mean, mode and medians are affected by the outliers.
We got to know about all of these.
In the next module.
We studied inferential statistic in detail where we got to know that if I don't have the entire data of the population and I want to know about my population, we can simply take few samples from the population which will be representative sample of that population.
And on that basis, we can perform our inferences or our analysis.
In that model we had discussed about many important topics like probability and probability distribution.
In that module we had seen that what are the outliers, in which way the outliers affect the data and how we will have to remove it, treatment methods, we had seen everything.
Lastly, we saw about central limit theorem and what is sampling distribution.
We saw about all things in detail in inferential statistics.
In our next module we saw what is hypothesis testing, how is null and alternate hypothesis is made, how is type one and type two error reduced? We discussed in detailed about all these topics.
After that we saw the next module in which we saw the different types of tests like Z test, T test, how we can perform T test for 2 samples.
If have to perform 2 sample mean or I want to perform two sample proportion test.
So, in which ways they are performed.
We saw all those tests properly in the Excel and learned them.
So, we have several different concepts about which we get the information.
In the last module we learned about Lean Allegation, what is that and in which way the regression of machine learning creates an important base.
All these things we learned.
Apart from video lectures you have also been given assignments and quizzes.
You complete them.
With this you can test your knowledge and whichever topics you find to be weak or the performance is weak, you can revise those concepts by watching the videos again.
Not even that if you're applying for the job or you wish to know how you can answer the question in a structured way.
You can refer interview questions for that.
If after the course completion you not opted for certification.
Then you can collect this certificate today itself.
This certificate is from NSDC national skill development corporation.
if you don't understand any topic then continuously refer the videos and make your concepts strong.
If you have any comments or questions related to this course then you can click on the discussion button below this video and you can post them over there.
In this way, you can connect with other learners like you and you can discuss with them.
This course is really nice, just have one question in empirical rule explanation , SD deviation example trainer is saying mean however mean (20+30+40+50+60+70/6) value is different kindly confirm than