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Cohort 138 - (Da/Ds/GenAI/AI - PB)
Link and Passcode & Updates Section
Further placement session on Monday 7 pm
Induction Session - 7th December
7th December Recording (83:46)
Data Science Overview/ Basics of Excel
13th December (155:19)
13th December file
Data Science Overview/ Excel - Absolute Ref & IF, IFS
14th December recording (156:00)
14th December file
Assignment Name - Excel Assignment
Data Science IFS, LookUp, Logical (AND, OR)
20th December Recording (144:11)
Files
Statistics and Excel Intermediate
21st December Recording (152:31)
Assignments - Survey Study - Assignment 4
Statistics and Excel Intermediate
27th December Recording (103:33)
Files
Statistics and Excel Completion
28th December Recording (102:37)
Files
Assignments
Installation and Basics of Power BI
3rd January Recording (146:30)
Assignments
Data Warehouse Concepts and Data Modelling in Power BI
4th January Recording (143:07)
Assignments
Power BI Charts and Graphs
10th January Recording (146:01)
Files
Power BI Charts, Graphs and Github
11th January Recording (147:56)
Files
Power BI Charts, Graphs & AI Visuals
18th January Recording (144:52)
File
MySQL Fundamentals and Hands On
24th January Recording (148:01)
Files
MySQL Fundamentals and Hands On
25th January Recording (151:59)
Files
31st January
31st January Recording part-1 (3:06)
31st January Recording part-2 (148:25)
Assignment
1st February
1st February Recording (100:52)
31st January & 1st February Files
SQL Assignment
7th February
7th February Recording (6:09)
8th February
8th February Recording (146:36)
MYSQL Advance
14th February Recording (62:59)
Files
Python Basics
15th February Recording (139:56)
Files
Assignment
Python (Data Types and Data Structures) & MYSQL Case Statement
21st February Recording (148:42)
Files
Python (Data Structures)
22nd February Recording (136:26)
Files
Python (Control Flow)
28th February Recording (78:06)
Files
Assignment
Python (Functions and Modules - Math & Pandas) .
1st March Recording (150:28)
Files
Python (Pandas and Data Analysis)
7th March Recording (138:28)
Files
Github Link for Datasets
Machine Learning and Exploratory Data Analysis
8th March Recording (129:36)
Files
Github Link for Datasets
MYSQL + Python + Linear Regression Multiple Linear Regression (MLOps Life Cycle)
21st March Recording (153:21)
MYSQL + Python + Linear Regression Multiple Linear Regression (MLOps Life Cycle)
22nd March Recording (141:52)
21st & 22nd March Files
Assignments and projects
Multiple Linear Regression + KNN regressor + Classification Multi-class Classification + Code Modularisation.
28th March Recording (136:35)
Files
29th March
29th March Recording (133:18)
Unsupervised Learning - K Means and Hierarchical Clustering Inferential Stats and Numpy.
4th April Recording (141:41)
Unsupervised Learning - K Means and Hierarchical Clustering Inferential Stats and Numpy.
5th April Recording (121:33)
4th & 5th April Files
Deep Learning - Fundamentals and Practicals Regression Advanced Deep learning with Capstone Project 2 & 3
11th April Recording (130:12)
Deep Learning - Fundamentals and Practicals Regression Advanced Deep learning with Capstone Project 2 & 3
12th April Recording (120:55)
11th & 12th April Files
NLP and GEN AI Fundamentals & transformer Archiecture
16th April Recording (96:19)
Files
Embeddings and vector Database
18th April Recording (122:43)
Files
End to End connecting with Google gemini API
19th April Recording (99:19)
Files
Career Building Session
4th May Recording (86:12)
Career Building Session 2
5th May Recording (89:23)
4th & 5th May Files
Introduction and Overview of GEN AI 2. LLM and Transformer Architecture 3. Fundamental Concepts of NLP in Python
9th May Gne AIRecording (138:55)
Files
1. Vector Database and Embeddings 2. Hands on with Python and Vector Database - FAISS
10th May Gen Ai Recording (138:05)
Files
16 May GenAI Session
16 May recording (134:35)
18 May GenAI Session
18 May recording (130:09)
Further placement session on Monday 7 pm
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