Python Ka Chilla 2024
About Course
#codanics #dataanalytics #pythonkachilla #pkc24 Python ka chilla 2024 You can now register for Python ka chilla 2024 This is a paid course which you can register and find more information at the following link: https://forms.gle/kUU3eZJsFRb7Cn6r8
Python ka Chilla with Baba Aammar | Python for Data Science Complete 40 Days Course
This course will continue for 40 Topic lectures, covering the use of Python for Data Science and Machine learning, Deep Learning and AI from zero-Advance level (See content below).
Note: This course will continue for 80 Days, that means every second day, you will receive a lecture on the topic.
Python ka chilla 2024 with BabaAammar (Dr. Aammar Tufail)-Online only-via Learning Management System (LMS)+Zoom Meetings
Starting Date: 1st October, 2024
Ending Date: 20th December, 2024
Registration Deadline: The old registration deadline for early bird registration was 23.09.2024, and second deadline was 29.09.2024, the next deadline is 05.10.2024.
Language: Urdu/Hindi
Limited Seats only
Who can/cannot attend this course:
1. Everyone who knows how to use MS Excel on basic level. You can learn from here: https://www.youtube.com/playlist?list=PL9XvIvvVL50G7D7_4ZDNAlS9JczrG57L6
2. Everyone who can type of keyboard
3. Everyone who can understand basic English
4. If you think you do not know how to code, no worries, this is a beginner-friendly course.
5. You can test yourself within first 5 lectures, if you think you can understand those that means you can easily learn in this course.
6. Agar ap mehnat nahi karna chahtay tu na register karwaen.
7. Agar ap k pass laptop nahi hy tu na enrol karwaen. Laptop hna must hy mobile per nai seekha ja sakta ye sab.
8. Koi b laptop chalay ga bht heavy lenay ki zaroorat nahi hy.
9. Agar ap ko math ya stat nahi ati still no issue, we won’t use that alot.
Methodology:
1. Lectures will be uploaded on LMS on our website www.codanics.com on Tuesday and Thursday at 09:00 PM Pakistan Time
2. Zoom meeting to answer every possible question will be conducted every Sunday at 05:00 pm Pakistan time to help you resolve your queries (link will be provided only to registered students). If you can not attend the Zoom meeting due to your location, we will provide recordings of each meeting in LMS.
3. All notes/codes/scripts/application/learning material will be provided to all registered participants.
4. We will conduct several quizzes during this course, and upon passing all quizzes you will get a certificate at the end of this course.
5. You will also have access to our books (fee of cost-only if you register)
6. We will conduct 2-6 coding nights, where we will code for most part of the saturday nights.
7. You will have access to our community via discord, whatsapp, fb, and telegram where you can ask questions anytime and hundreds of people are there to answer you.
Zoom link and material details will be shared via LMS system only to the enrolled students via whatsapp msg and/or email address you will mention in this form.
Content:
The contents we will cover in this course are:
- Turning on your PC and compatible windows or other OS
- Installation of python and other programs necessary for the course
- Writing your first line of code with us
- Basic python programming skills
- What is Data? And How to handle large Data?
- Data Science Basics vs. Data Analytics Basics
- Python for Data Science
- Basics-intermediate of Pandas library
- Basics-intermediate of Numpy library
- Basics-intermediate of matplotlib library
- Basics-intermediate of Other python libraries for each task
- Basics of Statistics for Data Science
- Logic building in Python for Data Science
- How to search public Datasets and work on them to build your portfolio
- GitHub basics-Intermediate
- Basic to Advance- Markdown
- How to get free resources of worth (90k USD if you have a student ID)?
- Basic to Advance Data Visualization with Python
- Machine Learning of Traditional Algorithms
- Basic to Intermediate-Deep Learning
- Mastering Tensorflow Architecture
- Mastering Pytorch Architecture
- Automating ML algorithms using different libraries
- Computer vision
- Web application Development using python
- Web application deployment using python
- Software Development using Python
- Basic to Intermediate-Time Series Data Analysis using Python
- Natural Language Processing
- Basic to Intermediate-Large Language Models (LLMs)
- Fine-Tuning LLMs
- RAG based application development
- Mastering LangChain
- Handling GIS data with Geopandas
- Projects based learning
- Building your LinkedIn and GitHub Portfolio
- How to Market your skills with free projects
- Personality development sessions
- How to earn money after learning from Python ka chilla 2024
- Surprises and Hidden Resources and Much more to come…….
This is a paid course (First 5 lectures will be free), if you are looking for the free course then please visit the following courses:
1. The whole python ka chilla 2023 for data science (Free) is at this link: https://codanics.com/product/python-ka-chilla/
2. Six months AI and Data Science Mentorship program (Free): https://codanics.com/courses/six-months-of-ai-and-data-science-mentorship-program/
If you are still interested, then register yourself.
For more information, read the form or email us at info@codanics.com
Best regards,
Dr. Aammar Tufail
PhD Data Science in Agriculture
Course Content
Why Should You enroll?
Resources for the Course
Day-1
Day-2
Day-3
Day-4
Day-5
Day-6
Day-7
Day-8
Day-9
Day-10
Day-11
Day-12
Day-13
Day-14
Day-15
Day-16 (No lectures- Take Rest/Revise and enjoy the day)
Day-17
Day-18
Day-19
Day-20
Day-21 (Automatics EDA-1)
Day-22 (Automatic EDA-2)
Day-23 (Automatic EDA-3)
Day-24 (AI-News and Automatic EDA)
Day-25 (Pandas-1)
Day-26 (Pandas-2)
Day-27 (Pandas-3)
Day-28
Day-29
Day-30 (Take a break and revise your previous lessons)
Day-31: Statistics for Data Science-(Part-1)
Day-32: Statistics for Data Science-(Part-2)
Day-33: Statistics for Data Science-(Part-3)
Day-34: Statistics for Data Science- (Part-4)
Day-35: Statistics for Data Science- (Part-5)
Day-36: Mathematics for Data Science and Machine Learning
Day-37, 38, 39, 40: NumPy for Data Science
Quizes
Day-41: Data Visualization (Part-1)
Day-42: Data Visualization (Part-2)
Day-43: Data Visualization (Part-3)
Day-44: Data Visualization (Part-4)
Day-45: Data Visualization (Part-5)- Plotly Master Class-I
Day-46: Data Visualization (Part-5)- Plotly Master Class-II
Day-47: Data Analysis and EDA complete project on real world data
Day-48: Data Visualization (Part-6)- GeoMaps using Plolty
Day-49: Data Visualization (Part-7)- Bokeh Library
Day-50: Magic Commands Used in Python
Day-51: Data Gathering and Data Scrapping
Day-52: Machine Learning is Next
Day-53: Machine Learning (Part-1)
Day-54: Machine Learning (Part-2)
Day-55: Machine Learning (Part-3)
Day-56: Machine Learning (Part-4)
Day-57: Machine Learning (Part-5)
Day-58: Machine Learning (Part-6)
Day-59: Machine Learning (Part-7)
Day-60: Machine Learning (Part-8)
Day-61: Machine Learning (Part-9)
Day-62: Machine Learning (Part-10)
Day-63: Machine Learning (Part-11)
Day-64: Machine Learning (Part-12)
Day-65: Machine Learning (Part-13)-Data Preprocessing Crash Course
Day-66: Machine Learning (Part-14)
Day-67: Machine Learning (Part-15)
Day-68: Machine Learning (Part-16)
Day-69: Machine Learning (Part-17)
Day-70: Machine Learning (Part-18)
Day-71: Machine Learning (Part-19)
Day-72: Machine Learning (Part-20)
Day 73: Machine Learning (Part-21)
Complete Projects A-Z
Student Ratings & Reviews
