Course curriculum

    1. Python Free Bootcamp - Youtube Playlist (First 12 Lectures - Python Fundamentals)

    1. Lecture 01 - Data Science and AI Fellowship

    2. Lecture 02 - Data Science and AI Fellowship

    3. Lecture 03 - Data Science and AI Fellowship

    4. Lecture 04 - Data Science and AI Fellowship

    5. Lecture 05 - Data Science and AI Fellowship

    6. Lecture 06 - Data Science and AI Fellowship

    7. Lecture 07 - Function parameters/arguments and types

    8. Lecture 08 - Global & Local scope

    9. Lecture 09 - Data Science and AI Fellowship

    10. Lecture 10 - Data Science and AI Fellowship

    11. Lecture 11 - Data Science and AI Fellowship

    12. Lecture 12 - Data Science and AI Fellowship

    13. Lecture 13 - Data Science and AI Fellowship

    14. Lecture 14 - Data Science and AI Fellowship

    15. Lecture 15 - Data Science and AI Fellowship

    16. Lecture 16 - Data Science and AI Fellowship

    17. Lecture 17 - Data Science and AI Fellowship

    18. Lecture 18 - Data Science and AI Fellowship

    19. Lecture 19 - Data Science and AI Fellowship

    20. Lecture 20 - Data Science and AI Fellowship

    21. Lecture 21 - Data Science and AI Fellowship

    22. Lecture 22 - Tuple_Data Structure, Heap & Stack, Deep copy & Shallow copy

    23. Lecture 23 - Dictionary (Collection → Mapping)_Data Structure (1st Part)

    24. Lecture 24 part 01 - Dictionary (2nd Part)

    25. Lecture 24 part 02 - Dictionary (2nd Part)

    26. Lecture 25 - Data Science & AI fellowship

    27. Lecture 26 - Data Science & AI fellowship

    28. Lecture 27 - Data Science and AI Fellowship

    29. Lecture 28 - Data Science and AI Fellowship

    30. Lecture 29 - Programming Fundamentals (Part 01)

    31. Lecture 30 - Programming Fundamentals (Part 02) & String Methods

    32. Lecture 31 - String Methods, Standard/Built-in and Third-party Packages & Module, Projects: Coffee Machine Program & Quiz Design

    33. Lecture 32 - Text-based & Graphical User Interface, Turtle Module, Problems: 1. Draw a Square, 2. Draw a Triangle, Square, Pentagone, Hexagone, Heptagone, Octagone, Nanogone, Decagone,

    34. Lecture 33 - Turtle Module → Event Listeners (Methods), Coordinate System, Problem: Etch-a- Sketch

    35. Lecture 34 - Implementation of the Turtle Module in Turtle Racing Game

    36. Lecture 35 - Turtle Module → Snake Game(Part 01) - (Procedural programming → OOP), Inheritance

    37. Lecture 36 - Turtle Module → Snake Game(Part 02), OOP & Inheritance Implementation

    38. Lecture 37 - Path(part 01), RAM → Persistent Storage(Hard Disk → Files), Path → Folder/Directory & file (file name.extension), pathlib module → Path class

    39. Lecture 38 - Path(part 02), CWD & Home Directory, Class methods & Object/Instance methods, Relative & Absolute Paths, Commands Automation, Creating Directories

    40. Lecture 39 - Path(part 03), Object Inspector → Data & Attributes of Path object, Metadata, Finding Files with Glob Patterns

    41. Lecture 40 - Path(part 04) → Validating Paths, File Handling (part 01) → Files (Text/Plain-text & Binary files), Hexviewer, open() function & its parameters, Text mode, Encoding

    42. Lecture 41 - File Handling (part 02) → Binary mode ('b'), Context Manager, shelve module, Organizing Files (Automation) → pathlib, shutil (Shell Utilities) & os (Operating System) modules

    43. Lecture 42 - Organizing Files → send2trash module, walk(), Generator object, Zipfiles/Archive & Compression, zipfile module

    44. Lecture 43 part 01 - Command-line Interface (CLIs → cmd/PS & bash/shell), commands/program, scripts (shell script/batchfile), compiled & Interpreted and general purpose & specific purpose languages, Python Installation's Components

    45. Lecture 43 part 02 - Environment (OS → Windows & Linux) & environment variables → Path variable

    46. Lecture 44 - Package manager (pip.exe), Vitual Environment

    47. Lecture 45 - Data Science and AI Fellowship

    48. Lecture 46 - Data Science and AI Fellowship

    49. Lecture 47 - Data Science and AI Fellowship

    50. Lecture 48 - Data Science and AI Fellowship

    51. Lecture 49 - Data Science and AI Fellowship

    52. Lecture 50 - Data Science and AI Fellowship

    53. Lecture 51 - Data Science and AI Fellowship

    54. Lecture 52 - Data Science and AI Fellowship

    55. Lecture 53 - Data Science and AI Fellowship

    56. Lecture 54 - Data Science and AI Fellowship

    57. Lecture 55 - Data Science and AI Fellowship

    58. Lecture 56 part 01 - Data Science and AI Fellowship

    59. Lecture 56 part 02 - Data Science and AI Fellowship

    60. Lecture 57 - Data Science and AI Fellowship

    61. Lecture 58 - Data Science and AI Fellowship

    62. Lecture 59 - Data Science and AI Fellowship

    63. Lecture 60 - Data Science and AI Fellowship

    64. Lecture 61 - Data Science and AI Fellowship

    65. Lecture 62 - Data Science and AI Fellowship

    66. Lecture 63 - Data Science and AI Fellowship

    67. Lecture 64 - Data Science and AI Fellowship

    68. Lecture 65 - Data Science and AI Fellowship

    69. Lecture 66 - Data Science and AI Fellowship

    70. Lecture 67 - Data Science and AI Fellowship

    71. Lecture 68 - Data Science and AI Fellowship

    72. Lecture 69 - Data Science and AI Fellowship

    73. Lecture 70 - Data Science and AI Fellowship

    74. Lecture 71 - Data Science and AI Fellowship

    75. Lecture 72 - Data Science and AI Fellowship

    76. Lecture 73 - Data Science and AI Fellowship

About this course

  • $100.00
  • 77 lessons
  • 211 hours of video content

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