Udemy - Master Data Science with Python in 10 Hours 2021

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[ DevCourseWeb.com ] Udemy - Master Data Science with Python in 10 Hours 2021
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 1. Introduction
    • 1. Welcome!.mp4 (5.4 MB)
    • 1. Welcome!.srt (1.8 KB)
    • 2. Introduction to Data Science.mp4 (22.1 MB)
    • 2. Introduction to Data Science.srt (9.3 KB)
    2. Anaconda Installation Guide and Jupyter Notebook Walk-through
    • 1. Anaconda Installation.mp4 (16.3 MB)
    • 1. Anaconda Installation.srt (3.3 KB)
    • 1.1 Anaconda Website.html (0.1 KB)
    • 2. Jupyter Notebook Walk-through.mp4 (26.2 MB)
    • 2. Jupyter Notebook Walk-through.srt (10.4 KB)
    • 2.2 Jupyter website.html (0.1 KB)
    • 3. Lecture Materials - All the Jupyter Notebooks.html (0.3 KB)
    • Data_Science_with_Python Section 1 - Python
      • 01 - Numbers and operations.ipynb (10.4 KB)
      • 02 - Strings.ipynb (9.0 KB)
      • 03 - Formatting Strings.ipynb (5.0 KB)
      • 04 - Lists.ipynb (5.9 KB)
      • 05- Tuples.ipynb (5.4 KB)
      • 06 - Dictionary.ipynb (5.6 KB)
      • 07 - if...else.ipynb (3.7 KB)
      • 08 - while and for loops.ipynb (6.0 KB)
      • 09 - functions.ipynb (6.9 KB)
      • Python Exercises - solutions.ipynb (9.6 KB)
      • Python Exercises.ipynb (8.6 KB)
      Section 2 - Numpy
      • 1 - Numpy arrays.ipynb (11.0 KB)
      • 2 - Numpy arithmetical operations.ipynb (4.9 KB)
      • 3 - Numpy array indexing and selection.ipynb (13.3 KB)
      • 4 - Numpy built-in functions.ipynb (12.9 KB)
      • Numpy exercises - solutions.ipynb (9.9 KB)
      • Numpy exercises.ipynb (8.5 KB)
      Section 3 - Pandas
      • 1 - Pandas Series.ipynb (12.0 KB)
      • 10 - Pandas Pivoting.ipynb (18.4 KB)
      • 11 - Pandas Combining DataFrames - Merge.ipynb (30.7 KB)
      • 12 - Pandas Combining DataFrames - Concatenation and Join.ipynb (24.5 KB)
      • 13 - Pandas replacing values.ipynb (13.7 KB)
      • 14 - Pandas Groupby.ipynb (37.6 KB)
      • 15 - Pandas built-in functions.ipynb (31.4 KB)
      • 16 - Pandas Cross Tabulation.ipynb (22.6 KB)
      • 2 - Pandas Dataframes.ipynb (68.6 KB)
      • 3 - Pandas Indexing and Selection.ipynb (24.1 KB)
      • 4 - Pandas reindexing.ipynb (24.9 KB)
      • 5 - Pandas column, row elimination (drop) .ipynb (19.3 KB)
      • 6 - Pandas Sort.ipynb (12.3 KB)
      • 7 - Pandas Statistics.ipynb (102.1 KB)
      • 8 - Pandas missing values.ipynb (22.9 KB)
      • 9 - Pandas Multi-index,Hierarchy.ipynb (32.6 KB)
      • Pandas exercises - solutions.ipynb (185.3 KB)
      • Pandas exercises.ipynb (171.7 KB)
      • data_car.data (29.6 KB)
      • data_car_cross.csv (24.5 KB)
      • data_groupby.csv (0.3 KB)
      • data_nba.csv (0.7 KB)
      • data_netflix.csv (2.3 MB)
      • data_pivot.csv (0.3 KB)
      Section 4 - Data Visualisation
      • 1 - Data Visualisation I - Matplotlib.ipynb (202.1 KB)
      • 2 - Data Visualisation II - Seaborn.ipynb (1.4 MB)
      • Data Visualization - exercises - solutions.ipynb (358.8 KB)
      • Data Visualization - exercises.ipynb (356.5 KB)
      • data_car_cross.csv (24.5 KB)
      • data_restaurant.csv (9.6 KB)
      • data_student.csv (19.8 KB)
      3. Python Basics
      • 1. Numbers and Basic Operations.mp4 (49.3 MB)
      • 1. Numbers and Basic Operations.srt (14.6 KB)
      • 1.1 A lot of python documentation!.html (0.1 KB)
      • 10. Functions - Part II.mp4 (88.1 MB)
      • 10. Functions - Part II.srt (22.0 KB)
      • 11. Exercises I - Python Exercises Overview.mp4 (37.9 MB)
      • 11. Exercises I - Python Exercises Overview.srt (8.5 KB)
      • 12. Solutions I - Python Solutions.mp4 (89.9 MB)
      • 12. Solutions I - Python Solutions.srt (22.0 KB)
      • 2. Strings.mp4 (59.5 MB)
      • 2. Strings.srt (22.7 KB)
      • 3. Format Print.mp4 (47.3 MB)
      • 3. Format Print.srt (11.8 KB)
      • 4. Lists.mp4 (24.5 MB)
      • 4. Lists.srt (8.4 KB)
      • 5. Tuples.mp4 (18.5 MB)
      • 5. Tuples.srt (4.8 KB)
      • 6. Dictionaries.mp4 (38.8 MB)
      • 6. Dictionaries.srt (11.7 KB)
      • 7. If Conditions.mp4 (38.8 MB)
      • 7. If Conditions.srt (12.7 KB)
      • 8. While and For Loops.mp4 (58.4 MB)
      • 8. While and For Loops.srt (30.5 KB)
      • 9. Functions - Part I.mp4 (67.4 MB)
      • 9. Functions - Part I.srt (22.8 KB)
      4. A Faster Alternative Numpy
      • 1. Numpy Library Introduction.mp4 (35.0 MB)
      • 1. Numpy Library Introduction.srt (5.5 KB)
      • 1.1 Numpy website for documentation and tutorials.html (0.1 KB)
      • 2. Numpy Arrays.mp4 (89.8 MB)
      • 2. Numpy Arrays.srt (19.7 KB)
      • 3. Numpy Arithmetical Operations.mp4 (24.4 MB)
      • 3. Numpy Arithmetical Operations.srt (5.5 KB)
      • 4. Numpy Selection and Indexing - Part I.mp4 (30.7 MB)
      • 4. Numpy Selection and Indexing - Part I.srt (9.4 KB)
      • 5. Numpy Selection and Indexing - Part II.mp4 (51.6 MB)
      • 5. Numpy Selection and Indexing - Part II.srt (14.3 KB)
      • 6. Numpy Some Built-in Functions.mp4 (77.2 MB)
      • 6. Numpy Some Built-in Functions.srt (18.3 KB)
      • 7. Exercises II Numpy Exercises Overview.mp4 (33.5 MB)
      • 7. Exercises II Numpy Exercises Overview.srt (6.2 KB)
      • 8. Solutions II Numpy Solutions.mp4 (68.6 MB)
      • 8. Solutions II Numpy Solutions.srt (15.3 KB)
      5. Dealing with Large Data Sets Pandas
      • 1. Pandas Library Introduction.mp4 (10.7 MB)
      • 1. Pandas Library Introduction.srt (4.0 KB)
      • 1.1 Pandas website for documentation and tutorials.html (0.1 KB)
      • 10. Some Statistical Methods.mp4 (50.6 MB)
      • Description

        Master Data Science with Python in 10 Hours | 2021



        https://DevCourseWeb.com

        Last Update: 1/2021
        Duration: 10h 41m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 3.24 GB
        Genre: eLearning | Language: English

        Learn Python, its libraries for Data Science (Pandas,Matplotlib,Seaborn) and data pre-processing for Machine Learning!

        What you'll learn:
        Importance of Data Science and It's applications
        Python - data types, functions, if conditions, loops and functions
        Numpy library - a faster alternative to store data!
        Pandas library - import, clean and modify large data sets
        Matplotlib library - visualize data
        Seaborn library- create impressive statistical plots
        Communicate conclusions from data effectively using plots
        and many more!

        Requirements
        A computer with internet connection



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Udemy - Master Data Science with Python in 10 Hours 2021


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3.2 GB
seeders:12
leechers:9
Udemy - Master Data Science with Python in 10 Hours 2021


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