Python_Chilla_with_Baba_Aammar

Python for Data Science

Student Details

• Title : "Mr"
• Name : "Ali Nawaz"
• email : "[email protected]"
• Website: alinawaz.com
• Research Profile : Research Gate, Google Scholar
• Artificial Intelliegence Engineer at Horizon Tec Services
• Resources : YouTube Link
• Instructor : Dr. Muhammad Ammar Tufail

Overview

This repository contains practice materials on Python, used to deliver online training course. The course was sponsered by codenics and Scholership Network. Pakistan This course is for everyone who want to make their carrer/graphs/scientific Publication Chart in data science. The instructor was Dr. Ammar Tufail.

Objectives:

1. Expand the cohort Students with intermediate-level Python skills;
2. contribute to quality of Data Scientist Resources in Pakistan; and
3. Non computer back ground can expand the graphs/chart for their publication using code and libraries.

Prerequisites and format: No prior coding experience is needed. The sessions will comprise short lecture-style teaching by the instructor, Interactive session and assignmnets session where every participants write code on their own laptops and show thier output.

Participant outcomes: With no coding knowledge before the course, participants should be able to access and combine a diverse set of datasets, conduct data exploration and visualization, utilize Python libraries for demographic, image data and machine learning, and be able to self-teach next steps in their specialized domain.

Project work

To gain credit, participants are required to submit a complete set of assignments, notebooks compiled in one file or should be in detailed projects groups. The format is a Jupyter Notebook/PDF. The notebook should ingest, analyze and visualize data using Python, to address the real understaing of the students and need of the participant's.

Running the scripts

Two methods:

• Beginner method: Click the links to 'open notebook in Colab.' (no software installation required)
• Preferred method: Install Anaconda Navigator from the software catalogue on eServices. Download the scripts (or clone the repository with Git) and load the notebooks (.ipynb files) in Jupyter Notebooks on your laptop.
• Preferred method: After cloning open the terminal and run the below command if you are able to do it. Other wise install it manually.

How To Make Vir-Enviroment using conda

conda create -n python-chilla python=3.6
conda activate python-chilla

Install the required libraries by using folllowing commands.

pip install -r /path/to/requirements.txt

Course Schedule

The course Started on 1st of New year 2022, Saturday Night on 9.30pm.

1. Fall 2022 8-week course
2. Jan 2022 40-days course
3. Note: The Week will be 5 Days in this Chilla

Week	Mode	Topics
Week 1	Zoom	Installation of VS Code, First Line of code, Libraries, Python syntax, intro to control flow including Weekly Workshop.
Week 2	Zoom	Ploting, Graphs, Data aquired, Students data, Different graphs ploting including Weekly Workshop on Github(pro).
Week 3	Zoom	intro to Pandas and Numpy, Further data structures, control flow, file handling, Vs Code
Week 4	Zoom	Data wrangling and analysis using Pandas and Numpy.
Week 5	Zoom	EDA, Data wrangling and analysis II.
Week 6	Zoom	Basics of Machine learning Algorithms, Supervised and Un-supervised, Classification, Clustring.
Week 7	Zoom	Basic OpenCv, Market Yourself, Interview Prepartion, Canva.
Week 8	Zoom	Final Resolution of the End Day and Gup Shup :)

• Materials in the repos can be freely with credit and giving start and fork operation.
• This Repo will be refine with time.

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Materials developed by

Ali Nawaz

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