technifyed

Videos in this playlist 21

  1. Pandas Part 1 - Introduction to Pandas
  2. Pandas Part 2 - Importing data using read_csv()
  3. Pandas Part 3 - Important functions and attributes
  4. Pandas Part 4 - Fetching rows and columns using iloc
  5. Pandas Part 5 - Filtering dataframe on a condition | Masking using boolean series
  6. Pandas Part 6 - The value_counts() function
  7. Pandas Part 7 - The Plot function
  8. Pandas Part 8 - Series Operations
  9. Pandas Part 9 - The sort_values() method
  10. Pandas Part 10 - The drop_duplicates() method
  11. Pandas Part 11- The Groupby() function
  12. Pandas Part 12 - Groupby on IPL Dataset
  13. Pandas Part 13 - The isin() function
  14. Pandas Part 14 - The merge function
  15. Pandas Part 15 - Pandas Pivot Table
  16. Pandas Part 16 - Applying Pivot Table to IPL Dataset
  17. Pandas Part 17 - The corr function
  18. Pandas Part 18 - The rename function
  19. Pandas Part 19 - The set_index() and reset_index()
  20. Pandas Part 20 - The dropna() method
  21. Pandas Part 21 - The fillna() method

Advantages and disadvantages

Advantages

  • Free and complete: every lecture is in the playlist, in order.
  • Watch at 1.5x, skip what you know, rewatch what you don't.
  • Taught in Hindi (or Hinglish), which many students find easier to follow.
  • Made for Indian students, with placement and exam context.
  • 198,758 views, so help and notes are easy to find.
  • Completely free.
  • Self-paced: start any time.
  • A clear syllabus (21 videos) you can see before you start.

Disadvantages

  • No certificate, deadlines or graded work.
  • Quality and depth vary: check that the playlist is finished before you start.
  • Less depth than a university course on some topics.
  • No certificate.
  • No graded assignments or feedback.
  • Recorded in 2020: tools may have changed since.

Some points apply to every course of this kind; see how we rank.

Free

  • Free: Watch on YouTube, no account needed.
  • Certificate: None. Code or take notes along to make it stick.

CampusX is in Tier 3: good universities, respected companies, nonprofits and well-known teachers of our institution ranking (78/100). Deep, patient data-science series in Hindi.

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