Ma'am I'm a student and willing to learn data science and aiming to become a data scientist can you give me some tips or roadmap to learn wisely please ma'am
Here is a concise qualitative summary of the key points in the video: The video provides a comprehensive overview of statistical concepts and methods, covering descriptive statistics, inferential statistics, hypothesis testing, correlation analysis, regression analysis, and cluster analysis. The main points include: - Descriptive statistics summarize data (e.g. measures of central tendency, dispersion, frequency tables), while inferential statistics draw conclusions about populations from sample data. - Hypothesis testing, including t-tests and ANOVA, examines whether observed differences between groups are statistically significant. - Correlation analysis measures the strength and direction of relationships between variables. Regression analysis models these relationships to make predictions. - Cluster analysis, specifically k-means clustering, groups data into distinct clusters based on similarity. - The video also explains important statistical concepts like levels of measurement, assumptions for different tests, and the distinction between correlation and causation. - Throughout, the presenter demonstrates how to conduct these analyses using the data analysis tool, DataTab, providing step-by-step guidance and interpretation of the results. The video comprehensively covers a wide range of statistical methods and their applications, making it a valuable resource for understanding quantitative data analysis.
If you like, please find our e-Book here: datatab.net/statistics-book
Just Bought E-book. Love your courses. Your student from Thailand. Thank you.
It is a bit costly, but it would be nice if you priced it at 6.23 to 6.54.
My 2 years of struggle finally cleared in 4 hours. Thank you, Hannah.
Perfect : ) Thanks for your nice comment!
Ok. Stop. This is an amazing content. Glad to be part of the community and again, you are so talented.
Thank you very much! I truly appreciate your kind feedback! Regards Hannah
A teacher is like a candle that consumes itself to light the way for others.😊thanks mam
Many many thanks!!! Regards Hannah
Thank you for all the works you guys do, for a student and lover of statistic, you make a wonderful work, Greetings from Argentina ❤
Many many thanks!!! Greetings from Austria : )
You explain so well…. It is amazing
Thank you so much 😀 Regards Hannah
Thank you for this!
Glad it was helpful!
Thank you so much for all the effort you put into this video, it is such a big help!!
Many thanks : )
Some times... i mean only sometimes i feel like i should not leave the internet... including watching this video
: ) many thanks : )
Thank you
Ma'am I'm a student and willing to learn data science and aiming to become a data scientist can you give me some tips or roadmap to learn wisely please ma'am
This just came in time, this is amazing. Beyond thanks!!
So glad! Regards Hannah
Fantastic job. I really appreciate this stats in one video. Thank you
Glad it was helpful and thanks! Regards Hannah
Merci beaucoup pour ce partage. Vous avez l'art d'enseigné c'est formidable. On comprend aisément. Merci encore!
Many many thanks : ) Regards Hannah
Thank you for this statistics course
Most welcome! Regards Hannah
Pls make full data science course playlist for helping for frshers make skills better 🎉
TQ so much for your wonderful statistics course mam.i really loved you course
It's my pleasure! Many many thanks!! Regards Hannah
Very useful🎉❤
So glad! Thanks and Regards Hannah
Here is a concise qualitative summary of the key points in the video:
The video provides a comprehensive overview of statistical concepts and methods, covering descriptive statistics, inferential statistics, hypothesis testing, correlation analysis, regression analysis, and cluster analysis.
The main points include:
- Descriptive statistics summarize data (e.g. measures of central tendency, dispersion, frequency tables), while inferential statistics draw conclusions about populations from sample data.
- Hypothesis testing, including t-tests and ANOVA, examines whether observed differences between groups are statistically significant.
- Correlation analysis measures the strength and direction of relationships between variables. Regression analysis models these relationships to make predictions.
- Cluster analysis, specifically k-means clustering, groups data into distinct clusters based on similarity.
- The video also explains important statistical concepts like levels of measurement, assumptions for different tests, and the distinction between correlation and causation.
- Throughout, the presenter demonstrates how to conduct these analyses using the data analysis tool, DataTab, providing step-by-step guidance and interpretation of the results.
The video comprehensively covers a wide range of statistical methods and their applications, making it a valuable resource for understanding quantitative data analysis.
Many many thanks for the summary!!!! Regards Hannah
Thanks :)
Welcome! And thanks for your feedback! Regards Hannah
Thanks
You are Welcome : ) Regards Hannah
Thanks for Explaining the concept . Can you make video about math for data Science ?
Awesome!
Thank you! Cheers!
Thanks a lot😊
Most welcome 😊 Regards Hannah
Love this, Many thanks
Our pleasure! Regards Hannah and Mathias
Excellent, even before watching the episode ❤
Many thanks : )
Kudos
Many thanks : )
Can you help with a flow chart of the various tests to be used along with sub tests e.g. Levene test, Test for Normaility etc.
Please create a course on meta analysis.
Hi, many thanks for your feedback! I will put it on our to do List! Regards Hannah
So, watching this one first or first watch previous videos?
Hi, The new one is the new version, so you only need to watch the new one! Regards Hannah
Why are there no Turkish or Azerbaijani subtitles?
Can you please add?
Thanks for your feedback! I will have a look, I don't know exactly how it works! Regards Hannah
THANKS A LOT .