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Semester 8ICS-801CSE

Data Science using Python (ICS-801) crash course, Online B.Tech, Semester 8:

Pandas data wrangling (missing values, duplicates, dtypes, filtering, loc, pivot) and NumPy (fancy/Boolean indexing, CSV + mean/std/sum program) are the core;…

  • 6 video lessons
  • 1h 47m
  • Study notes
  • 30 quiz questions
  • Assignment
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Data Science using Python crash course

6 lessons in Data Science using Python

Each lesson pairs one topic with a hand-picked video, trimmed to the part that teaches it.

About this subject

Pandas data wrangling (missing values, duplicates, dtypes, filtering, loc, pivot) and NumPy (fancy/Boolean indexing, CSV + mean/std/sum program) are the core; add data preprocessing and a comparison of Matplotlib/Seaborn/Plotly for the remaining Part-C choices.

  1. 1

    Pandas data wrangling and cleaning

    Must study for the exam (×6 · A1, A5, A6, B1, B3, C1 · 2 + 2 + 2 + 5 + 5 + 15 marks · MCQ, short note with syntax, long explanation with code).

    Pandas Full Course (2025) | Python Pandas Tutorial For Beginners | Python Pandas Course |Intellipaat· Intellipaat· 24 min

    Study notes 5 quiz questionsWatch lesson
  2. 2

    Data preprocessing and dataset generation

    Must study for the exam (×4 · A7, A8, B4, C4 · 2 + 2 + 5 + 15 marks · MCQ, short note, long explanation).

    #8 Data Preprocessing In Data Mining - 4 Steps |DM|· Trouble- Free· 18 min

    Study notes 5 quiz questionsWatch lesson
  3. 3

    NumPy arrays and computation

    Must study for the exam (×4 · A3, A4, B2, C2 · 2 + 2 + 5 + 15 marks · MCQ, short note with example, program).

    NumPy Full Course (2025) | NumPy Python Tutorial For Beginners | Learn NumPy in 2 Hours |Intellipaat· Intellipaat· 11 min

    Study notes 5 quiz questionsWatch lesson
  4. 4

    Data visualization tools

    Must study for the exam (×1 · C3 · 15 marks · long comparison).

    Complete Data Visualization Course for Beginners | Matplotlib & Seaborn | Sheryians AI School· Sheryians AI School· 36 min

    Study notes 5 quiz questionsWatch lesson
  5. 5

    Python basics: control flow, data structures, file handling

    High value for the exam (×4 · A9, A10, B5, B6 · 2 + 2 + 5 + 5 marks · MCQ, short notes with examples).

    All Python Syntax in 25 Minutes – Tutorial· Beau Carnes· 14 min

    Study notes 5 quiz questionsWatch lesson
  6. 6

    Web scraping with BeautifulSoup

    If time permits for the exam (×1 · A2 · 2 marks · MCQ).

    Comprehensive Python Beautiful Soup Web Scraping Tutorial! (find/find_all, css select, scrape table)· Keith Galli· 4 min

    Study notes 5 quiz questionsWatch lesson

Assignment

End-to-End Student Records Pipeline: Generate, Clean, Analyse and Visualise with Python

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What you get

Less scrolling. More passing.

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    Hand-picked video lessons

    6 short lessons, each with the best YouTube explanation we could find, trimmed to the part that matters.

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    Study notes

    6 lessons come with a summary, key points, key terms and takeaways for quick revision.

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    Quizzes

    30 questions across the course, with the right answer and why, the moment you pick.

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    Assignments

    1 subject assignments with clear tasks, so you practise what each subject actually asks of you.

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    Notebook

    Write notes beside the video, stamped with the exact time, and jump back to that moment later.

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    Progress that follows you

    Completed lessons, quiz scores and where you stopped, saved to your account on every device.

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    Live chat

    A members-only live chat beside every lesson: doubts, tips, stickers and GIFs with your batch. One ₹19 pass opens every live chat.

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A live chat right beside the video, shared by everyone studying Online B.Tech. Ask a Data Science using Python doubt mid-lesson, share a shortcut, celebrate a finished semester.

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More from Online B.Tech Semester 8

All subjects

Data Science using Python: common questions

Pandas data wrangling (missing values, duplicates, dtypes, filtering, loc, pivot) and NumPy (fancy/Boolean indexing, CSV + mean/std/sum program) are the core; add data preprocessing and a comparison of Matplotlib/Seaborn/Plotly for the remaining Part-C choices. It's the Data Science using Python subject of Online B.Tech, Semester 8, in 6 lessons: Pandas data wrangling and cleaning; Data preprocessing and dataset generation; NumPy arrays and computation; Data visualization tools; Python basics: control flow, data structures, file handling; Web scraping with BeautifulSoup.

Yes. Every video lesson is free to watch without an account. A free login unlocks study notes, quizzes, the assignment, a notebook and progress that syncs across devices.

About 1h 47m of video across 6 lessons, plus time for notes and quizzes. Go at your own pace; your place is saved.

Yes: “End-to-End Student Records Pipeline: Generate, Clean, Analyse and Visualise with Python”. It comes after the last lesson, with a brief, clear tasks and how the work is judged.

A members-only live chat beside the video, shared by everyone studying Online B.Tech, where learners ask doubts, share tips and react with stickers and GIFs. One ₹19 pass, paid once from your InsideEdge wallet, opens the live chat for every degree.

No. It's a crash course to help you understand and revise the subject quickly. Use it alongside your official study material and assignments.

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