| 0 | 102.4 B | ||
| 001 Customer Data Preprocessing - Unsolved.mp4 | 120.3 MB | ||
| 001 File IO in Python.mp4 | 246.4 MB | ||
| 001 File-IO.ipynb | 31.1 KB | ||
| 001 Final-Assement.pdf | 289 KB | ||
| 001 Functions and Scope.mp4 | 82.8 MB | ||
| 001 Introduction Talk.mp4 | 10.3 MB | ||
| 001 Pandas in Python Notebook.mp4 | 136.7 MB | ||
| 001 Pandas-Lecture.ipynb | 26.1 KB | ||
| 001 Programming Languages and Computation.mp4 | 36 MB | ||
| 001 Programming-Languages-and-Computation.pdf | 753.7 KB | ||
| 1 | 512 B | ||
| 001 Python-Functions-Methods.pdf | 662.8 KB | ||
| 001 acw-user-data.csv | 200 KB | ||
| 001 iris.csv | 3.9 KB | ||
| 001 junk.txt | 102.4 B | ||
| 001 long-text.txt | 1.3 KB | ||
| 001 my-file.txt | 0 B | ||
| 002 Assignment-Solved.ipynb | 4.3 MB | ||
| 002 CSV-Reader-Writer.ipynb | 13.4 KB | ||
| 002 Classes and Methods.mp4 | 107.6 MB | ||
| 002 Customer Data Preprocessing Solved.mp4 | 141.4 MB | ||
| 002 FINAL-ASSIGNMENT-SOLVED.rar | 1.2 MB | ||
| 002 Final-Assement.pdf | 289 KB | ||
| 002 Handling CSV files in Python.mp4 | 110.5 MB | ||
| 002 Programming in Python.mp4 | 81.9 MB | ||
| 002 Programming-in-Python.pdf | 662.8 KB | ||
| 002 Python and Jupyter Notebook Installation.mp4 | 46.5 MB | ||
| 002 Python-Classes.pdf | 624.3 KB | ||
| 002 SampleNotebook.ipynb | 1.2 KB | ||
| 002 Seaborn visualisation in Python.mp4 | 113.9 MB | ||
| 002 Seaborn.ipynb | 202.1 KB | ||
| 002 acw-user-data.csv | 200 KB | ||
| 002 another-data.csv | 0 B | ||
| 002 commute.json | 999.6 KB | ||
| 002 employed.json | 730.1 KB | ||
| 002 installation.pdf | 5.6 MB | ||
| 002 iris.csv | 3.9 KB | ||
| 002 multivariate1.png | 17.8 KB | ||
| 002 multivariate2.png | 35 KB | ||
| 002 multivariate3.png | 95.7 KB | ||
| 002 processed.json | 964.5 KB | ||
| 002 python-3.10.1-amd64.exe | 26.9 MB | ||
| 002 remove-ccard.json | 275.6 KB | ||
| 002 retired.json | 234.4 KB | ||
| 002 sample-data.csv | 204.8 B | ||
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| 003 JSON Reader and Writer in Python.mp4 | 62.5 MB | ||
| 003 JSON-Reader-Writer.ipynb | 6.7 KB | ||
| 003 Lets-Play-With-Cats.ipynb | 3.5 KB | ||
| 003 Playing with cats.mp4 | 40.6 MB | ||
| 003 Python Commands.mp4 | 85.7 MB | ||
| 003 Python-Commands.pdf | 668.7 KB | ||
| 003 Workshop 4 Tasks - Unsolved.mp4 | 212.2 MB | ||
| 003 Workshop4Tasks.ipynb | 43 KB | ||
| 003 duck-manifest.json | 204.8 B | ||
| 003 titanic.csv | 63.6 KB | ||
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| 004 L6-Comprehensions-List-and-Dict.ipynb | 17.5 KB | ||
| 004 List and Dict Comprehensions.mp4 | 267.4 MB | ||
| 004 Python-Data-Structures-Lists.pdf | 599.8 KB | ||
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| 004 Python Data Structures - Lists.mp4 | 95.5 MB | ||
| 004 Workshop 3 Tasks - Unsolved.mp4 | 226.7 MB | ||
| 004 Workshop 4 Tasks - Solved.mp4 | 209.3 MB | ||
| 004 Workshop3Tasks.ipynb | 41.2 KB | ||
| 004 Workshop4Tasks-Solved.ipynb | 202.6 KB | ||
| 004 duck-collection.json | 614.4 B | ||
| 004 ex1-data.txt | 1.3 KB | ||
| 004 wind-data.csv | 3.8 MB | ||
| 005 Python Data Structures - Dictionary and Tuple.mp4 | 79.5 MB | ||
| 005 Python-Data-Structures-Dictionary-and-Tuples.pdf | 614.5 KB | ||
| 005 Workshop 2 Tasks - Unsolved.mp4 | 197.6 MB | ||
| 005 Workshop 3 Tasks - Solved.mp4 | 261 MB | ||
| 005 Workshop2Tasks.ipynb | 30.9 KB | ||
| 005 Workshop3Tasks-Solved.ipynb | 6.3 MB | ||
| 005 duck-collection.json | 614.4 B | ||
| 005 ex1-data.txt | 1.3 KB | ||
| 005 wind-data.csv | 3.8 MB | ||
| 5 | 11.5 KB | ||
| 6 | 17.3 KB | ||
| 006 Workshop 1 Tasks - Unsolved.mp4 | 135 MB | ||
| 006 Workshop 2 Tasks - Solved.mp4 | 185.8 MB | ||
| 006 Workshop1Tasks.ipynb | 26.4 KB | ||
| 006 Workshop2Tasks-Solved.ipynb | 44.3 KB | ||
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| 007 Workshop 1 task - Solved.mp4 | 285.9 MB | ||
| TutsNode.com.txt | 102.4 B | ||
| [TGx]Downloaded from torrentgalaxy.to .txt | 614.4 B | ||
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| ▲ 116 total files | |||
Description
This module teaches students to program in Python and is scheduled to start their career in Artificial Intelligence and Data Science.
If you want to enter the domain of Data Science and are from a different discipline or career path then this module is for you to enroll in .
You should prepare for the practical workshops by watching the lecture videos, reading the written material including the assigned practical tasks, and prepare some of the initial practical tasks so you are ready for the days work.
The format of this module is a 4-week intensive module which is designed to teach you the necessary programming skills to excel throughout the remaining of your exciting program. I understand that you come from a variety of different backgrounds and encourage you to engage and communicate with us about your learning where possible; whether you are completely new to programming or whether you’ve dabbled in it before. Programming is a skill which takes time to master, and the more you practice these skills the better you will become.
The first two weeks contain many smaller topics which are fundamental to programming understanding, with later weeks utilizing these for more advanced applications.
All of the programming part will take place in Jupyter Notebook and relevant python version installation and usage will be shared in this course.
Week 1.
Environments
Variables
Data Primitives
Data Structures (Collections)
Control Flow
Scope Teaching
Week 2.
Functions
List/Dict Comprehensions
Libraries
Python Modules
Object Oriented Python
Teaching
Week 3.
Coursework Introduction
Numpy and N-Dimensional Matrices
File Input/output
Error-handling / Exceptions Teaching
Week 4.
Introduction to Pandas library
Visualization of Data with Python Coursework
Real Application.
Customer Data Pre-Processing
Who this course is for:
Beginner python developers curious about Data Science
Beginners
New to the Domain
Python developers and Machine Learning engineers
Everybody who wants to learn more about the joint field of AI and Data science
Students who wants to switch to Data Science
Requirements
No programming experience needed , you will be taught everything from scratch up to a professional level
Last Updated 2/2022
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 3.9 GB | freecoursewb | 2 weeks | 5 | 17 | |
| 3.7 GB | freecoursewb | 2 weeks | 5 | 7 | |
| 3.8 GB | freecoursewb | 2 weeks | 9 | 6 | |
| 3.7 GB | freecoursewb | 2 weeks | 12 | 10 | |
| 2.8 GB | freecoursewb | 2 weeks | 5 | 7 |
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