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36- Data Wrangling in Python (Day-17)
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Python_ka_chilla (python in 40 days in urdu/Hindi) - 36- Data Wrangling in Python (Day-17)

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This course includes

  • 41.5 hours of video
  • Certificate of completion
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Python_ka_chilla (python in 40 days in urdu/Hindi) 36- Data Wrangling in Python (Day-17)

36- Data Wrangling in Python (Day-17) Transcript and Lesson Notes

Data wrangling is one of the major steps in data science. Cleaning, filtration and other kind of data handling the most important features of pre-processing of DATA. The steps of Data Wrangling involves: -Handling missin

Quick Summary

Data wrangling is one of the major steps in data science. Cleaning, filtration and other kind of data handling the most important features of pre-processing of DATA. The steps of Data Wrangling involves: -Handling missin

Key Takeaways

  • Review the core idea: Data wrangling is one of the major steps in data science. Cleaning, filtration and other kind of data handling the most important features of pre-processing of DATA. The steps of Data Wrangling involves: -Handling missin
  • Understand how data science fits into 36- Data Wrangling in Python (Day-17).
  • Understand how data science with python fits into 36- Data Wrangling in Python (Day-17).
  • Understand how data wrangling with python fits into 36- Data Wrangling in Python (Day-17).
  • Understand how handling of data with python fits into 36- Data Wrangling in Python (Day-17).

Key Concepts

Full Transcript

Data wrangling is one of the major steps in data science. Cleaning, filtration and other kind of data handling the most important features of pre-processing of DATA. The steps of Data Wrangling involves: -Handling missing values -Data Formatting -Data Normalization -Data Binning -Making dummies To join our course: https://t.me/+-WQcbjQGhsUyZjBk 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

Lesson FAQs

What is 36- Data Wrangling in Python (Day-17) about?

Data wrangling is one of the major steps in data science. Cleaning, filtration and other kind of data handling the most important features of pre-processing of DATA. The steps of Data Wrangling involves: -Handling missin

What key concepts are covered in this lesson?

The lesson covers data science, data science with python, data wrangling with python, handling of data with python, data cleaning.

What should I learn before 36- Data Wrangling in Python (Day-17)?

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: data science, data science with python, data wrangling with python, handling of data with 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.

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