Statistics for Data Science EP:66 |Comparing two independent population means | statistics

Hello everyone ,
Statistics is primarily an applied branch of mathematics, which tries to make sense of observations in the real world. Statistics is generally regarded as one of the pillars of data science.

In this video I have discussed about the Comparison of two Independent population means with known population standard deviations in hypothesis testing. So I have told about the test score and degrees of freedom with known population standard deviation for hypothesis testing and these topics that come under hypothesis testing and discussed about it in briefly.

Data Science is the hottest job of the 21st century with an average salary of 120k dollars per year.
Now, if you want to foray into the world of data science, you need to have good command over statistics, as it forms the base of all the data science concepts.
This “Statistics for Data Science” would help you to comprehensively learn all the basic and advanced topics in Statistics.

Who is this course for?
There is an increasing demand for skilled data scientists across all industries which makes this course suited for participants at all levels of experience. We recommend this Data Science training especially for the following professionals:
1. IT professionals looking for a career switch into data science and analytics
2. Software developers looking for a career switch into data science and analytics
3. Professionals working in data and business analytics
4. Graduates looking to build a career in analytics and data science
5. Anyone with a genuine interest in the data science field
6. Experienced professionals who would like to harness data science in their fields

#statisticsfordatasciencecourse #probabilityandstatistics #learnstatisticsdatascience #statisticsdatasciencecourse #statistics #datascience #python

Don't forget to like subscribe and share my channel !!
-------------------------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------------------------
---------------------------------------------------------------------------------------------------------------------------
---------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------
---------------------------------------------------------------------------------------------------------------------------
---------------------------------------------------------------------------------------------------------------------------
---------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------
Link for the recorded online classes playlist :
--------------------------------------------------------------------------------------------------------------------
Link for the pandas playlist :
-------------------------------------------------------------------------------------------------------------------