Python_ka_chilla (python in 40 days in urdu/Hindi) Statistics for Data Science (Crash Course) (Day-13) |#python_ka_chilla #baba_aammar
Statistics for Data Science (Crash Course) (Day-13) |#python_ka_chilla #baba_aammar Transcript and Lesson Notes
To join us: https://t.me/+-WQcbjQGhsUyZjBk This video explains the basic statical tearm, notions and concepts in Data Science including but not limited to types of variables, data types, categorical vs continuous variabl
Quick Summary
To join us: https://t.me/+-WQcbjQGhsUyZjBk This video explains the basic statical tearm, notions and concepts in Data Science including but not limited to types of variables, data types, categorical vs continuous variabl
Key Takeaways
- Review the core idea: To join us: https://t.me/+-WQcbjQGhsUyZjBk This video explains the basic statical tearm, notions and concepts in Data Science including but not limited to types of variables, data types, categorical vs continuous variabl
- Understand how python fits into Statistics for Data Science (Crash Course) (Day-13) |#python_ka_chilla #baba_aammar.
- Understand how pandas fits into Statistics for Data Science (Crash Course) (Day-13) |#python_ka_chilla #baba_aammar.
- Understand how what is pandas fits into Statistics for Data Science (Crash Course) (Day-13) |#python_ka_chilla #baba_aammar.
- Understand how pandas python fits into Statistics for Data Science (Crash Course) (Day-13) |#python_ka_chilla #baba_aammar.
Key Concepts
Full Transcript
To join us: https://t.me/+-WQcbjQGhsUyZjBk This video explains the basic statical tearm, notions and concepts in Data Science including but not limited to types of variables, data types, categorical vs continuous variable, Nominal variable, ordinal variable, types of graphs we need to use and basic statistical terms like (mean, median and mode in pandas library of Python. This course revolves around the basic concepts of using Python for Data Science in Urdu and Hindi language. The target audience for this course in Pakistani National working in data Science or the beginners who want to learn this complete course via registration process. You can register any time with the following link: https://forms.gle/cS4KCZ6veQ1LtpFB8 only if you are interested in this 40 days long course (python_ka_chilla with baba_aammar. More about me: I am Dr Aammar Tufail, your instructor in Python_ka_chilla. My aim is to train people in Data Science, machine learning, artificial intelligence, and deep learning by the end of the year (2022). If you are keen to learn from this complete course, then here is the playlist for the course: https://youtube.com/playlist?list=PL9XvIvvVL50HVsu-Ao8NBr0UJSO8O6lBI If you want to learn Data Science with R here is the completed and uploaded course in urdu, link: https://youtube.com/playlist?list=PL9XvIvvVL50E8HimtAnVL8N70MqImYOLS If you have any questions, you can always write in the comment section of the video, you have a question about. #DataScience #artificailIntelligence #deeplearning #machinelearning #python #python_ka_chilla #baba_aammar #pandas_in_python #pandas_library Time stamps: 00:00:00 Intro and Important things about assignment 00:02:30 Improtant Libraries 00:04:22 Statistics 00:14:36 Types of Data/Variables 00:25:27 Measure of central tendency 00:48:44 Assignment 00:49:08 dispersion/std/variability in data 01:01:10 stats and plots 01:04:53 outro
Lesson FAQs
What is Statistics for Data Science (Crash Course) (Day-13) |#python_ka_chilla #baba_aammar about?
To join us: https://t.me/+-WQcbjQGhsUyZjBk This video explains the basic statical tearm, notions and concepts in Data Science including but not limited to types of variables, data types, categorical vs continuous variabl
What key concepts are covered in this lesson?
The lesson covers python, pandas, what is pandas, pandas python, how to use pandas in python.
What should I learn before Statistics for Data Science (Crash Course) (Day-13) |#python_ka_chilla #baba_aammar?
Review the previous lessons in Python_ka_chilla (python in 40 days in urdu/Hindi), then use the transcript and key concepts on this page to fill any gaps.
How can I practice after this lesson?
Practice by applying the main concepts: python, pandas, what is pandas, pandas python.
Does this lesson include a transcript?
Yes. The full transcript is visible on this page in indexable HTML sections.
Is this lesson free?
Yes. CourseHive lessons and courses are available to learn online for free.
