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Title: Data science
Description: This pdf tell you about the Data science and this is the part 1 of the Data science
Description: This pdf tell you about the Data science and this is the part 1 of the Data science
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Data
Science
The topics will be divided into seven days and the materials will be uploaded here after the
session
...
This week
we are focusing on stats next week we 'll be having continuous live session on blockchain then
android then dsa devops python power bi this projects what you have written is both on machine
learning and deep learning everything
...
The entire statistics with respect to data science is divided into this two
concept okay so in descriptive stats some of the topics that i really want to mention is measure
of central tendency
...
In fourth or fifth day you will be solving
some amazing complex problem okay
...
We'll try
to find out how how to determine whether a distribution is a normal distribution or not that all
things we will try to discuss these are some of the topics that i have written
...
What is statistics
is the science of collecting organizing and analyzing data
...
The most intrinsic meaning of data is that it can be measured so we can basically
measure and the example is iq of a class right suppose i i want to give one more example okay
the age the ages of student
...
Inferential stats is a technique where we use data that we have
measured to form conclusions
...
Inferential stats
basically consists of it is a technique wherein we use the data that we have measured to form
conclusions okay conclusions now i 'll definitely go for first two days little bit slow but afterwards
since i need to complete this in seven days i "ll go a little bit fast" Population and sample is
basically population and sample and i 'll be coming more on making you understand about
descriptive when we are deep diving into various topics okay now it is time that we really
understand about population and samples so coming over here is basicallyPopulation and
sample okay now population basically means let's consider one example again
...
There are different different different kinds of sampling
techniques
...
The first sampling techniques which is most of the time used is called as
simple random sampling
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The second type of sampling is called called as stratified sampling
...
Stratified sampling basically means layering like that we basically say okay so this is
what a stratified sampling means let me give you one example
...
strata
strata basically means
...
based on different different different
...
sampling satisfies all the conditions everybody clear till here this was with respect to the
second example of sampling technique now coming to the third one
...
Title: Data science
Description: This pdf tell you about the Data science and this is the part 1 of the Data science
Description: This pdf tell you about the Data science and this is the part 1 of the Data science