16:39 what is statistics? 18:20 what is data? 21:00 types of statistics 30:00 Population and sample 34:24 Sampling technique(1) - Simple Random Sampling 37:50 Sampling technique(2) - Stratified Sampling 42:40 Sampling technique(3) - Systematic sampling 46:00 Sampling technique(4) - Convenient Sampling 53:00 variables 55:00 Types of variables 56:00 quantitative variables 56:45 qualitative variables 59:35 types of quantitative vars 1:06:15 Measurement of variables 1:14:10 Frequency Distribution
🎯 Key Takeaways for quick navigation: 00:21 📊 Descriptive statistics involve organizing and summarizing data. 16:39 📈 Inferential statistics use measured data to draw conclusions. 23:41 📊 Descriptive statistics example: Finding the average marks of a class. 27:57 📈 Inferential statistics example: Comparing the marks of a classroom to the entire college. 30:06 🌍 Population refers to the entire group, while a sample is a subset of the population. 31:17 📊 In exit polls, reporters use sample data from different regions to estimate voter preferences rather than surveying the entire population. 34:23 🎯 Simple random sampling involves randomly selecting individuals from a population without any specific criteria. 37:56 📈 Stratified sampling divides the population into non-overlapping groups (strata) based on specific characteristics for sampling. 43:04 🔢 Systematic sampling involves selecting every nth individual from a population for a survey. 45:47 🌐 Convenience sampling focuses on individuals with domain expertise or interest in a specific topic for a survey. 54:03 📏 Quantitative variables are properties that can take on numerical values, such as age, weight, and height. 56:34 📉 Discrete variables are whole numbers, like the number of bank accounts or children in a family. 01:00:13 📏 Continuous variables can have any value within a range, such as height, weight, or rainfall amounts. 01:03:34 📊 Data can be categorized into discrete and continuous variables, with examples like population being continuous and gender being categorical. 01:06:18 📏 There are four types of measurement scales for variables: nominal, ordinal, interval, and ratio. 01:07:38 🧾 Nominal data consists of categorical or qualitative variables like colors, gender, and types of flowers. 01:08:50 🏆 Ordinal data focuses on the order of values, where the value itself doesn't matter, such as ranking students by their marks. 01:11:04 🌡️ Interval data includes values where both order and value matter, but there is no natural zero point, like temperature in Fahrenheit. 01:14:11 📊 Frequency distribution tables help visualize the frequency of data categories, which is essential for creating bar charts and pie charts. 01:16:17 📈 Cumulative frequency adds up the frequencies progressively and helps determine the total count of data items. 01:19:49 📊 Bar graphs are suitable for discrete data, while histograms are used for continuous data. Histograms group data into bins for visualization. 01:24:14 📄 PDF (Probability Density Function) is a way to smooth histograms for continuous data, representing probability distribution functions. Made with HARPA AI
This interactive form of teaching and the patience you have is really very commendable!!! Thanks a ton!!!! As a self-learner in DS, this playlist is super helpful for me because its so easy to get lost in the ocean!! Much love!!
@33:33 - N is used to denote population size and n to denote sample size. Size of the population and size of the population represents number of elements in the population and sample respectively.
Everytime I watch krish videos or playlists feels good better than a movie which got nothing rather than waste of money.Thankful to be a part of watching great session
Fantastic session , wish i would be there in live session . Now I am getting intrested in data science due to statistics. Thanks you lot for providing this .
Honestly your explanation for the beginner is amazing and able to relate with concepts. I have started today and I loved my 1 session and I will complete the rest.
Hi krish naik my name is najiib and i am from Somaliland which is in Somalia really your explanation was good and i understand much easier so keep goin krish thank lot
An 18year old to be started her journey today, and as far as my research, I have found the best Teacher. Lots of love from your neighboring country Pakistan
A very simple and easy explanation for interval data and ratio data is 0K, 0 F means absolute temperature. It doesn't mean that the temperature is absent. Where as the distance is ratio data, if the distance is 0 km, it means the distance is absent. The same goes for height and money.
After watching all statistics 7-day live sessions and now I have got so much confidence in stats, and I am very sure that I could learn data science subject. The way you teach is very clear and absolutely very easy to understand which I didn't find in my university. A Big Thanks to you Krish Naik ji for your great effort to help me and many students with your knowledge to shine their future and it is much appreciated. 🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏
Very good explanation. Thanks it is very helpful. But one query is there.... At stratifide sampling the example you gave(41:16) for age groups (0- 10) (10-20) (10-30)....... Here 10,20,30......is repeating and hence data will be overlap. I think it should be( 0-10) , (11-20), (21-30)..... .
Great job Krish, although I missed the live session because I didn't factor in very well the time zone. You make learning really interesting 😉. Thanks again and again
categorical variable will further divide in 3 categories, 1- Nominal Variable, 2- ordinal variable, 3-Binary variable. thank u for the informative session sir, it is very helpful
Hello sir(@krish Naik), Just now watched this video. Before watching this i am scared of statistics, after watching i got confidence that i can learn stats with ease. I think this playlist is my one stop destination for learning 📈stats in data science domain 📊. Thank you 🙏 and kubos🙋♂🙋♂ to your work sir...................
It is a wonderful stat playlist...this is what I was looking for the past month but I didn't get any precise content of stats...Thank you very much Krish for this amazing work by you
Check out the playlist of Statistics in hindi
th-cam.com/video/7y3XckjaVOw/w-d-xo.html
You are doing such an amazing job Krish. The greatest of all charity is educating people for free
Please don't drink redbull it is not good for your health Just an Advice!! And thanks for this videos
@Krish What is the headphone model you're using??
Where can I find above slides ?? @krishnaik or anyone
You have kept Stats in Playlist then why again this session?
16:39 what is statistics?
18:20 what is data?
21:00 types of statistics
30:00 Population and sample
34:24 Sampling technique(1) - Simple Random Sampling
37:50 Sampling technique(2) - Stratified Sampling
42:40 Sampling technique(3) - Systematic sampling
46:00 Sampling technique(4) - Convenient Sampling
53:00 variables
55:00 Types of variables
56:00 quantitative variables
56:45 qualitative variables
59:35 types of quantitative vars
1:06:15 Measurement of variables
1:14:10 Frequency Distribution
Bhai thankyou so much yaar
thanks bro accha kaam kiya
Thanks
pdf kha milga bhai
Thank you so much
🎯 Key Takeaways for quick navigation:
00:21 📊 Descriptive statistics involve organizing and summarizing data.
16:39 📈 Inferential statistics use measured data to draw conclusions.
23:41 📊 Descriptive statistics example: Finding the average marks of a class.
27:57 📈 Inferential statistics example: Comparing the marks of a classroom to the entire college.
30:06 🌍 Population refers to the entire group, while a sample is a subset of the population.
31:17 📊 In exit polls, reporters use sample data from different regions to estimate voter preferences rather than surveying the entire population.
34:23 🎯 Simple random sampling involves randomly selecting individuals from a population without any specific criteria.
37:56 📈 Stratified sampling divides the population into non-overlapping groups (strata) based on specific characteristics for sampling.
43:04 🔢 Systematic sampling involves selecting every nth individual from a population for a survey.
45:47 🌐 Convenience sampling focuses on individuals with domain expertise or interest in a specific topic for a survey.
54:03 📏 Quantitative variables are properties that can take on numerical values, such as age, weight, and height.
56:34 📉 Discrete variables are whole numbers, like the number of bank accounts or children in a family.
01:00:13 📏 Continuous variables can have any value within a range, such as height, weight, or rainfall amounts.
01:03:34 📊 Data can be categorized into discrete and continuous variables, with examples like population being continuous and gender being categorical.
01:06:18 📏 There are four types of measurement scales for variables: nominal, ordinal, interval, and ratio.
01:07:38 🧾 Nominal data consists of categorical or qualitative variables like colors, gender, and types of flowers.
01:08:50 🏆 Ordinal data focuses on the order of values, where the value itself doesn't matter, such as ranking students by their marks.
01:11:04 🌡️ Interval data includes values where both order and value matter, but there is no natural zero point, like temperature in Fahrenheit.
01:14:11 📊 Frequency distribution tables help visualize the frequency of data categories, which is essential for creating bar charts and pie charts.
01:16:17 📈 Cumulative frequency adds up the frequencies progressively and helps determine the total count of data items.
01:19:49 📊 Bar graphs are suitable for discrete data, while histograms are used for continuous data. Histograms group data into bins for visualization.
01:24:14 📄 PDF (Probability Density Function) is a way to smooth histograms for continuous data, representing probability distribution functions.
Made with HARPA AI
Thanks!
Thanks
This series is very close to my heart :) I remember I started my data analyst journey watching this series. Finally Associate Data analyst ♥️🙂
Hey, i too am preparing to be a data analyst. Can I ask a question regarding this?
hey can you pls share your insta id so that we can ask few questions, thanku
hey, have you get placed in any company for the DATA SCIENTIST job?
@@swatimadankar4623 how did it go? i enrolled in data analyst course recently
This series is much better than Friends, Breathe, Sacred Games, Game of Thrones, etc, etc. :D
Thank you for giving me suggestions for TV series.
Haha 😂
No but important for education purpose and for entertainment game of thrones is better than it😂😂
You are doing an excellent job. Free education is more appreciable which needs a good heart. Thank you for your great service.
Enjoyed the session! Excited for day 2. Looking forward to more insightful content!
This interactive form of teaching and the patience you have is really very commendable!!! Thanks a ton!!!! As a self-learner in DS, this playlist is super helpful for me because its so easy to get lost in the ocean!! Much love!!
Sir Krish Naik is more than an extra-ordinary teacher. He is an Angel in Human Form!!!
Thank you Krish for this amzing way of teaching. Totally understandable
I've finally found the stats course in context of data science presented in a clear way with fine examples. 🤗
You are the besttt teacher in this whole word .....god bless you sir!!! Try to become good teacher like you
Thank you for making statistics more interesting with your examples :)
Data is simply. Pieces of information!
Thank you so so so so so so much krish sir!!!!
Thanks 👍👍👍🙏👍🙏
Thank you so much sir, you are making us to break the fear levels of Learning data science :)
great session, I got to learn lots of things today
@33:33 - N is used to denote population size and n to denote sample size. Size of the population and size of the population represents number of elements in the population and sample respectively.
Great work for effort statistics session 🙏🙏🙏
Really appreciate this course Krish sir, thank you!
ماشاء اللہ.. سر آپ نے بہت ہی عمدہ طریقے سے سمجھایا.. Love u from 🇵🇰 بہت بہت شکریہ 🤗
Great teachers like YOU coming up with open education are a source to bring ind pak closer.
Love from 🇵🇰 for 🇮🇳
Best video I have ever seen on the TH-cam ...thank you sir for free video and your hardworking
I love the way you are serious, and bring the sessions... May Allah bless you and your beloved ones...
Everytime I watch krish videos or playlists feels good better than a movie which got nothing rather than waste of money.Thankful to be a part of watching great session
Easy to understand..to the point only
This is enough for study your data science statistics video with full of concept
Thank you sir amazing session todays
Fantastic session , wish i would be there in live session . Now I am getting intrested in data science due to statistics. Thanks you lot for providing this .
I'm glad i opened the video. Its ACTUALLY the best!
Very good for students
Excellent teacher, very involved. Thanks Krish
Thank you , this class is my starting for statistics , thank you sir
Honestly your explanation for the beginner is amazing and able to relate with concepts. I have started today and I loved my 1 session and I will complete the rest.
That's Great! Thank you so much.
great session....thankyou
Very useful and informative video
Thankyou so much sir for sharing such a good information.
Best Teacher Ever for Data Science
THIS IS WHAT I NEEDED THANK YOU AND YOU ARE A GOOD TUTOR
Ur literally the best person to go to for understanding anything
amazingly describe
Hi krish naik my name is najiib and i am from Somaliland which is in Somalia really your explanation was good and i understand much easier so keep goin krish thank lot
An 18year old to be started her journey today, and as far as my research, I have found the best Teacher. Lots of love from your neighboring country Pakistan
Thank you, Sir, भाऊ for everything, Thank you, Sir
Beautiful sir ♥️🥰
Amazing session , please do bring more such sessions!
A very simple and easy explanation for interval data and ratio data is 0K, 0 F means absolute temperature. It doesn't mean that the temperature is absent. Where as the distance is ratio data, if the distance is 0 km, it means the distance is absent. The same goes for height and money.
Great teacher, well-delivered-I love this guy's videos. Future data science enthusiast right here.
100/100 my ratings
After watching all statistics 7-day live sessions and now I have got so much confidence in stats, and I am very sure that I could learn data science subject. The way you teach is very clear and absolutely very easy to understand which I didn't find in my university. A Big Thanks to you Krish Naik ji for your great effort to help me and many students with your knowledge to shine their future and it is much appreciated. 🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏
Its great sir lovely
Very good explanation. Thanks it is very helpful.
But one query is there....
At stratifide sampling the example you gave(41:16) for age groups (0- 10) (10-20) (10-30)....... Here 10,20,30......is repeating and hence data will be overlap.
I think it should be( 0-10) , (11-20), (21-30)..... .
Great job Krish, although I missed the live session because I didn't factor in very well the time zone. You make learning really interesting 😉. Thanks again and again
enjoyed all the sessions thoroughly
Just the topic I was waiting for Krish. Thanks for sharing your knowledge with the data science community on youtube. You are the real MVP.
Beyond words.. Thankuu Krish, enjoyed a lot.
Superb sir ! compliments from Sri Lanka
Very informative, thank you
categorical variable will further divide in 3 categories, 1- Nominal Variable, 2- ordinal variable, 3-Binary variable. thank u for the informative session sir, it is very helpful
Thank you very much for your valuable knowledge sharing. Great job.
you are the great teacher
This is a greate session Krish... Thanks for your effeort.
it is really good lesson for any analitic guy. thank you very much
Thankkyou very much for teaching everything easily.You are my saviour🙏
Thank you sir 😍
Great Sir. Absolutely loved it. ❤️❤️❤️
Thankyou so much 🥳
thank you krish naik for this amazing content
awesome krish really its wonderfull. your free classes is diwali gift for me. thanks again
Great work
Ur a godsend for BCA students
1:03:48 population will be continuos variable
Great video.
Loving it
thanyouuu sir for saying we are amazing
Thank you krish keep doing new vedios, love from sri lanka
Thank you so much sir..
Thank you Krish
Thankyou sir 😊
Nice video,You are the best teacher
You are awesome sir .. thank you so much for such informative videos..👏
Good 1st day session.
Hello sir(@krish Naik),
Just now watched this video. Before watching this i am scared of statistics, after watching i got confidence that i can learn stats with ease. I think this playlist is my one stop destination for learning 📈stats in data science domain 📊.
Thank you 🙏 and kubos🙋♂🙋♂ to your work sir...................
Excellent explanation sir
Thank you sir
1:04:04 why population is discrete variable
Thank you so much krish
thank you very much for this excellent course
Thank you so much 😍
Thanks sire you are good teacher
It is a wonderful stat playlist...this is what I was looking for the past month but I didn't get any precise content of stats...Thank you very much Krish for this amazing work by you
superb lecture
Great session sir
Superb video
Nice explanation
amazing video krish!!