Statistics for Data Science Part 1 | Statistics Tutorial For Beginners | Data Science Tutorial

Statistics for Data Science Part 1 | Statistics Tutorial for Beginners | Data Science Tutorial
Hello and Welcome to one of the Best Data Science tutorials on the internet sponsored by Acadgild. This video talks about the applications of statistics for data science. Let’s check the topics covered in this tutorial.
After completing this training session, you will be able to learn,
• Introduction to Statistics
• Basic Statistics
• Introduction to the Basic Terms of Statistics
• What are Variables
• The Measure of Central Tendency the Mean, Median, and Mode
• The Measures of Dispersion
• What is a Range
• What is Sample Variance
• Standard Deviation
• Population Vs Sample
• What is Chebysheff’s Theorem
• Law of Expected Values and Variance
• Probability Density Function
Check out the basic terms used in statistics: Variable, Data (singular), Data (plural), Experiment, Parameter, Statistics.
Kinds of Variables or Types of Variable: Qualitative or Attributive or Categorical variable

Kindly, go through the complete video and learn more about statistics and please subscribe the channel for more updates on the latest technical skills and tutorials.

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[armv-m]

Without Indians on YouTube, I would have failed my Computer science degree! So, thank you my South Asian friends.

[anilr]

Hi Gentleman, you are a great communicator, your lecture delivery is simply superb, your way of teaching has attracted my attention.

[ArindamGhoshal_]

*ONE OF THE BEST CHANNEL FOR DATA SCIENCE...😍*

[wanderer.]

Hi, i have years of experience with coding, but i didn't had statistic classes when i was studying in college. Can i go with your class or i need some math knowledge before it?

[josephgeorge]

What is P(B) for last problem. Why did we use expanded form of the bayes theorem?

[yellowstone]

How much time will ti take to brush up my statistics up to a good level for data science and machine learning

[mayanktripathiu]

Hi Sir, This is awesome site for newbies in Data Science to understand the concept of Statistics. I liked it the way you explained the concepts, though its simple but effective.

[sriharigummadi]

Really so clear explanation, thank you so much for your effort in making such a great presentation 🙏🤝

[annfender]

10.33 number of people eg starts around 10:33 ! nice information thanks!

[BollywoodBangg]

THE best in class lecture in the topic..I'd be more happy, if you kept your work window (PC etc) into inset PIP...cause we need to go back and forth to see formulae.

[MrUvikram]

mean-mode=3(mean-median)

mode=3median-2mean
not able to understand ? what outcome will expect in this

median=132
mode = 124
mean= 137.14

137-14-124=3(137.14-13) ???

[sudiptapaldeie]

thanks a lot sir for clearing my concept

[indrajeetraj]

Sir, please check the example of two section of classes. In section B when you are calculating the average you are dividing by 50. I think it should be 100. Please confirm. Thanks in advance.

[mayanktripathiu]

Hi Sir, Could you please have a video on Time-Series, in-case you already have then please share the link.

[nazzish_ali]

5:48 correct, please
Datum is singular and Data is Plural

[royeden]

in the example @ 19:32 why did you divide by 50 rather than 100 as the number of students were 100?

[nchowdhury]

Excellent explanation. Thank you so much

[maverickzen]

Good video! I would suggest that you give examples where everyone can relate and not just Indians.

[navyasaichinni]

Not able to understand difference between statistic and parameter.. Does this both are same?..

[nileshsalvi]

statistics is easy but data science/analysis is much more taugher.. measurement of cetral tendency, dispersion and probability is just a beginning...real game starts when u start dealing with ANOVA, z test, t test, hypothesis test...things get more more dirty as u go further..so those who are thinking to enter in dis field pls make sure vl u b able to complete it??