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Course curriculum

    1. 1 - Variables in Python

    2. 2 - Conditionals If statement

    3. 3 - Example for If statement

    4. 4 - If else statement

    5. 5 - Example of If else statement

    6. 6 - Nested If statement

    7. 7 - Example for Nested If statement

    8. 8 - Elif statement

    9. 9 - Example for Elif statement

    10. 10 - While loop

    11. 11 - Example of while loop

    12. 12 - For Loop

    13. 13 - Example of For Loop

    14. 14 - Break Continue Statement

    15. 15 - Introduction to containers

    16. 16 - Creating and accessing lists in Python

    17. 17 - List indexing and slicing

    18. 18 - Working with List methods

    19. 19 - Working with operators on lists

    20. 20 - List Comprehension

    21. 21 - Tuple definition

    22. 22 - Tuples

    23. 23 - Tuple Indexing Slicing

    24. 24 - Manipulating Tuples

    25. 25 - Unpacking Tuples

    26. 26 - Sets

    27. 27 - Dictionaries

    28. 28 - Basics of dictionary

    29. 29 - Accessing dictionary

    30. 30 - len str type functions in dictionary

    31. 31 - Functions in python

    32. 32 - Example program1 on Functions

    33. 33 - Example program2 on functions

    1. 34 - Introduction to modules in python

    2. 35 - Creating Displaying 1D array

    3. 36 - Understanding 1D array Index

    4. 37 - Creating Array of 0s and Array of 1s

    5. 38 - Sorting elements in 1D array

    6. 39 - Slicing a 1D array

    7. 40 - Mathematical Operations on Array

    8. 41 - Searching an element in a Array

    9. 42 - Filtering an array

    10. 43 - Checking whether given array is empty or not

    11. 44 - Creating Displaying 2D array

    12. 45 - ndim Attribute

    13. 46 - Size Attribute

    14. 47 - Shape and reshape of array

    15. 48 - Creating an Identity Matrix

    16. 49 - arange

    17. 50 - linspace

    18. 51 - Random array

    19. 52 - Random matrix

    20. 53 - Creating a diagonal matrix

    21. 54 - Flatten a Matrix

    22. 55 - Computing Trace of a Matrix

    23. 56 - Finding Transpose of a Matrix

    24. 57 - Negative indexing to access elements in a 2D array

    1. 58 - Introduction to Pandas

    2. 59 - Working with series in Pandas

    3. 60 - Combining series with Numpy

    4. 61 - Finding number of elements in a series

    5. 62 - Computing mean max and min in a series

    6. 63 - Sorting a Series

    7. 64 - Displaying Unique values in a Series

    8. 65 - Summary of series statistics

    1. 66 - Introduction to Matplotlib

    2. 67 - Creating Line Graph

    3. 68 - Creating Bar Graph

    4. 69 - Creating Scatter Graph

    5. 70 - Creating Histogram Graph

    6. 71 - Creating Pie Chart

    7. 72 - Creating 3D Plot

    8. 73 - Creating 3D Line graph

    1. 74 - Understanding a sample Dataset Downloadable

    2. 75 - Introduction to Seaborn

    3. 76 - Swarm Plot

    4. 77 - Violin Plot

    5. 78 - Facet Grids

    6. 79 - Heatmap

About this course

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  • 79 lessons
  • 6 hours of video content

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