Six months of AI and Data Science Mentorship Program
About Course
Learn complete Data Science and AI in 6 months only.
Start Date: 01.10.2023
End Data: 31.03.2024
Pre-requisite: The whole python ka chilla 2023 for data science.
Follow our Whatsapp channel now, we will keep you updated here, Follow now for updates.
This will train you to have a job Ready Data Scientist
The plan is as follows:
- You will register to this program
- You will be added in discord server.
- You will be added in WhatsApp group at the end of this registration process
- You will be given 1–3 hours of lectures (recorded) every day for 5-6 days a week for whole duration of this program
- The time of daily lectures is 09:30 pm Pakistan time live on our youtube channel www.youtube.com/@codanics
- You will learn from those lectures and prepare assignments and tasks accordingly
- 2-3 Zoom Meetings in a week, only on weekends (Around 9:30 pm Pakistan Time) only for Paid.
- 1-to-1 Assignment Feedback (Only for Paid)
- Certificates (only for Paid)
- We are very strict about assignments, otherwise, you will be removed from the program.
- Disables students/people are sponsored by Codanics for Zoom Meetings.
These are the aims and goals (bashart-e-zindage) of this program:
- Python Programming (Zero-Hero)
- Data Science/Analytics (Zero to advance)
- Mathematics (Zero to advance)
- Statistics (Zero to advance)
- Microsoft Excel (Zero to advance)
- Markdown Language (Zero to advance)
- SQL (Zero to advance)
- Machine Learning (Zero to advance)
- Deep Learning (Zero to advance)
- Time Series Analysis (Zero to advance)
- Transfer Learning
- Genertive AI
- Web App Development (Zero to advance)
- Web App Deployment (Zero to advance)
- NLP (Basics-Intermediate)
- Lang Chain Crash Course
- Software Development using Python (Basics)
- Web development using WordPress (Zero to advance)
- Web Development Using Flask/Fast API/Django (Zero to advance)
- Blogging (Zero to advance)
- Social Media Handling and Analysis (Zero to advance)
- How to earn Online using Data Science and AI (Zero to advance)
- Google AdSense Crash Course (Zero to advance)
- How to start a YouTube Channel? (Zero to advance)
- Much More to come and Surprises as well
if you have any questions, you may contact us at info@codanics.com
visit us: www.codanics.com
Dear, to register for the 6 months AI and Data Science Mentorship Program, click this link and fill the form give there: https://shorturl.at/fuMX6
Course Content
How and Why to Register
- 15:56
- 03:20
Software installation and Important Details
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
Day-17: Complete EDA on Google PlayStore Apps
Day-18: Outliers
Day-19: Complete EDA project on Apple APP store apps Dataset
Day-20
Day-21: Data Visualization-1
Day-22: Data Science Portfolio
Day-23: Data Visualization-2
Day-24: Data Visualization-3
Day-25: Quiz Time, Data Visualization-4
Day-26: Data Visualization-5
Day-27: Data Scaling/Normalization/standardization and Encoding
Day-28: NumPy (Part-1)
Day-29: NumPy (Part-2)
Day-30: NumPy (Part-3)
Day-31: NumPy (Part-4)
Day-32a: NumPy (Part-5)
Day-32b: Data Preprocessing / Data Wrangling
Day-33: Zero-to-Math for Data Science (Part-1)
Day-34: Zero-to-Math for Data Science (Part-2)
Day-35: Zero-to-Math for Data Science (Part-3)
Day-36: Zero-to-Math for Data Science (Part-4)
Day-37: Algebra in Data Science
Day-38: Pre-Algebra (Part-1)
Day-39: Pre-Algebra (Part-2)
Day-40: Pre-Algebra (Part-3)
Day-41: Elementary Algebra
Day-42: Linear Algebra (Part-1)
Day-43: Linear Algebra (Part-2)
Day-44: Linear Algebra (Part-3)
Day-45: Linear Algebra (Part-4)
Day-46: Linear Algebra (Part-5)
Day-47: Linear Algebra (part-6)
Day-48: Linear Algebra (Part-7)- Solving System of Equations
Day-49: Linear Algebra (Part-8)- Solving System of Equations
Day-50: Linear Algebra (Part-9)- Solving System of Equations
Day-51: Linear Algebra (Part-10) – Python
Day-52: Statistics for Data Science (Part-1)
Day-53: Statistics for Data Science (Part-2)
Day-54: Statistics for Data Science (Part-3)
Day-55: Statistics for Data Science (Part-4)
Day-56: Statistics for Data Science (Part-5)
Day-57: Statistics for Data Science (Part-6)
Day-58: Statistics for Data Science (Part-7)
Day-59: Statistics for Data Science (Part-8)
Day-60: Statistics for Data Science (Part-9)
Day-61: Statistics for Data Science (Part-10)
Day-62: Statistics for Data Science (Part-11)
Day-63: Statistics for Data Science (Part-12)
Day-64: Statistics for Data Science (Part-13)
Day-65: Statistics for Data Science (Part-14)
Day-66: Statistics for Data Science (Part-15)
Day-67: Machine Learning (Part-1)
Day-68: Machine Learning (Part-2)
Day-69: Machine Learning (Part-3)
Day-70: Machine Learning (Part-4)
Day-71: Machine Learning (Part-5)
Day-72: Machine Learning (Part-6)
Day-73: Machine Learning (Part-7)
Day-74: Machine Learning (Part-8)
Day-75: Machine Learning (Part-9)
Day-76: Machine Learning (Part-10)
Day-77: Machine Learning (Part-11)
Day-78: Machine Learning (Part-12)
Day-79: Machine Learning (Part-13) Decision Tree
Day-80: Machine Learning (Part-14)-Ensemble Algorithms
Day-81: Machine Learning (Part-15)-Evaluation Metrics
Day-82: Machine Learning (Part-16)-Metrics for Classification
Day-83: Machine Learning (Part-17)
Day-84: Machine Learning (Part-18)
Day-85: Machine Learning (Part-19)
Day-86: Machine Learning (Part-20)
Day-87: Machine Learning (Part-21)
Day-88: Machine Learning (Part-22)
Day-89: Machine Learning (Part-23)
Day-90: Machine Learning (Part-24)
Day-91: Machine Learning (Part-25)
Day-92: Machine Learning (Part-26)
Day-93: Machine Learning (Part-27)
Day-94: Machine Learning (Part-28)
Day-95: Machine Learning (Part-29)
Day-96: Machine Learning (Part-30)
Day-97: Machine Learning (Part-31)
Day-98: Machine Learning (Part-32)
Day-99: Machine Learning (Part-33)
Day-100: Un-Supervised Machine Learning (Part-1)
Day-101: Un-Supervised Machine Learning (Part-2)
Day-102: Un-Supervised Machine Learning (Part-3)
Day-103: Deep Learning (Part-1)
Day-104: Deep Learning (Part-2)
Day-105: Deep Learning (Part-3)
Day-106: Deep Learning (Part-4)
Day-107: Deep Learning (Part-5)
Day-108: Deep Learning (Part-6)
Day-109: Deep Learning (Part-7)
Day-110: Deep Learning (Part-8)-Activation Functions
Day-111: Case Studies (Complete Machine/Deep Learning Projects)
Day-112: Deep Learning (Part-9)-Complete Project
Day-113: Deep Learning (Part-10)-Complete Project
Day-114: Deep Learning (Part-11)-Convolutional Neural Network (CNN)
Day-115: Deep Learning (Part-12)-Convolutional Neural Network (CNN)
Day-116: Deep Learning (Part-13)-Computer Vision
Day-117: Deep Learning (Part-14)-Complete CNN Project
Day-118: Deep Learning (Part-15)-Recurrent Neural Network (RNN)
Day-119: Deep Learning (Part-16)-Natural Language Processing (NLP)
Day-120: Deep Learning (Part-17)-Natural Language Processing (NLP)
Day-121: Time Series Analysis (Part-1)
Day-122: Time Series Analysis (Part-2)
Day-123: Time Series Analysis (Part-3)
Day-124: Time Series Analysis (Part-4)
Day-125: Time Series Analysis (Part-5)
Day-126: Time Series Analysis (Part-6): Web-scrapping
Day-127: Time Series Analysis (Part-7): ARIMA models for time series
Day-128: Time Series Analysis (Part-8): Complete Project
Day-129: git & GitHub Crash Course
Day-130: Over-fitting and Under-fitting in a Model
Day-131: Improving Machine/Deep Learning Model’s Performance
Day-132: Transfer Learning and Pre-trained Models (Part-1)
Day-133: Transfer Learning and Pre-trained Models (Part-2)
Day-134 Transfer Learning and Pre-trained Models (Part-3)
Day-135: Generative AI (Part-1)
Day-136: Generative AI (Part-2)
Day-137: Generative AI (Part-3)
Day-138: Generative AI (Part-4)
Day-139: Generative AI (Part-5)-Tensorboard
Day-140: Generative AI (Part-6)-Diffusion Models
Day-141: Generative AI (Part-7)
Day-142: Prompt Engineering
Day-143: Huggingface
Day-144: LangChain and APIs
Day-145: Streamlit for webapp development and deployment (Part-1)
Day-146: Streamlit for webapp development and deployment (Part-2)
Day-147: Streamlit for webapp development and deployment (Part-3)
Day-148: Streamlit for webapp development and deployment (Part-4)
Day-149: Streamlit for webapp development and deployment (Part-5)
Day-150: Streamlit for webapp development and deployment (Part-6)
Day-151: Streamlit for webapp development and deployment (Part-7)
Day-152: Streamlit for webapp development and deployment (Part-8)
Day-153: Streamlit for webapp development and deployment (Part-9)
Day-154: Streamlit for webapp development and deployment (Part-10)
Day-155: Streamlit for webapp development and deployment (Part-11)
Day-156: Streamlit for webapp development and deployment (Part-12)
Day-157: Streamlit for webapp development and deployment (Part-13)
How to Earn using Data Science and AI skills
Day-158: Flask for web app development (Part-1)
Day-159: Flask for web app development (Part-2)
Day-160: Flask for web app development (Part-3)
Day-161: Flask for web app development (Part-4)
Day-162: Flask for web app development (Part-5)
Day-163: Flask for web app development (Part-6)
Day-164: Flask for web app development (Part-7)
Day-165: Flask for web app deployment (Part-8)
Day-166: FastAPI (Part-1)
Day-167: FastAPI (Part-2)
Day-168: FastAPI (Part-3)
Day-169: FastAPI (Part-4)
Day-170: FastAPI (Part-5)
Day-171: FastAPI (Part-6)
Day-172: FastAPI (Part-7)
Day-173: FastAPI (Part-8)
Day-174: FastAPI (Part-9)
Day-175: Tableau Complete Course (Part-1)
Day-176: Tableau Complete Course (Part-2)
Day-177: Tableau Complete Course (Part-3)
Day-178: Tableau Complete Course (Part-4)
Day-179: Power BI (Part-1)
Day-180: Power BI (Part-2)
Day-181: Power BI (Part-3)
Day-182: Power BI (Part-4)
Day-183: Power BI (Part-5)
Day-184: Structured Querry Language (SQL) for Beginners
Student Ratings & Reviews
Great Course
Great Course
