9 February recording

Cohort 118 - (Da/Ds/GenAi - SS)

Batch 118 - link, Passcode & update section

Resume Building Session on Saturday at 3 pm to 5 pm.

Induction, Software Installation

9 February recording (165:36)
9 February files

Introduction to Data Analytics, Python Basic programming

15th February Recording (159:07)
File

Getting started with excel, Operators in Python

16th February Recording (156:21)
File

Excel Pivot , Excel Project, Excel Assignment (Assignment - 1)

22nd February Recording (151:55)
File

Operators in Python, Conditions in Python

23rd February Recording (152:19)
File

Conditions and Loops in Python

1st March Recording (165:29)
File

Practice programs with Loops and conditions, Strings in Python - 1

2nd March Recording (151:05)
File

Strings in Python

8th March Recording (154:54)
8th March file

List, Tuple and Introduction to Dictionary

15th March Recording (152:40)
File

Dictionary, Sets and Functions - Part 1

16th March Recording (154:35)
File

1. Functions - part 2 2. On line functions / lambda 3. Map Filter Reduce in Lists

22nd March Recording (150:49)
File

1. Class and Objects 2. Python Assignment (Assignment 2) 3. Database introduction (Database fundamentals session 1)

23rd March Recording (82:14)
23rd March Recording part-2 (71:39)
File

MYSQL Installation Creating Tables Foreign keys Importing data from CSV

29th March Recording (155:22)
File

1. INSERT INTO TABLE 2. ALTER TABLE 3. UPDATE query 4. SELECT (All version) 5. JOINS

30th March Recording (151:24)
File

1. Database last session 2. Descriptive statistics introduction

5th April Recording (152:02)
File

1. Descriptive statistics: a. Types of data b. measure of central tendency

6th April Recording (148:51)
File

1. Measure of Variability 2. How to analyze one data

12th April Recording (153:34)
Files

1. Analysing 2 datasets : Categorical v Categorical and Numerical v Numerical

19th April Recording (155:12)
File

1. Inferential statistics 2. Probability Distribution 3. Introduction to Advanced Python for Data Analysis

20th April Recording (151:21)
File

Numpy

26th April Recording (147:39)
File

1. Linear Algebra using Numpy 2. Data analysis using Pandas

27th April Recording (151:58)
File

Data Preprocessing: Handling missing values

3rd May Recording (155:14)
3rd May File

Data Preprocessing using Python

4th May Recording (154:17)
4th May File

10th may

10th May Recording (152:56)
File

1. Data Analytics Projects - Projects to practice 2. Power - Data Transformation:

11th May Recording (144:38)
File

Build basic visuals using Power BI

17th May Recording (154:33)
17th May File

Various basic visualizations and creating dashboardsrd

18th May Recording (143:57)
File

1. Data Modelling 2. Data Transformation

31st May Recording (154:53)
File

1. DAX in Power BI

1st June Recording (153:00)
File

1. Python script to load data in Power BI 2. Python script to perform preprocessing in Power BI 3. Visualization using columns from different tables (related) 4. Introduction to Tableau

7th June Recording (151:56)
File

Power BI Slicers Power BI Filters Row Level Security in Power BI Introduction to Report Builder

8th June REcording (145:22)
File

1. Visualization using Tableau 2. Data preprocessing using Natural Language Processing (NLP)

14th June Recording (153:32)
File

1. Advanced Excel 2. Reading data from the Database into Python 3. Reading content of a JSON file into Python

15th June Recording (152:16)
File

21st June

21st June Recording (155:08)

1. Data cleaning using Pandas 2. Web scraping 3. Project on Data Cleaning 4. Additional practice questions on data cleaning

22nd June Recording (154:23)
File

28th June

28th June Recording (110:16)

1. Projects 2. Github 3. Doubt Discussion

29th June Recording (159:44)
File

1. Introduction to Machine Learning - Part 2 2. Data preprocessing: Missing values, Categorical values and Scalling

5th July Recording (157:49)
File

1. Data Cleaning for ML 2. ML Process 3. Simple Linear Regression

6th July Recording (160:06)
File

1. Multiple linear regression 2. Logistics regression 2a. Confusion matrix 3. ML projects

12th July REcording (158:45)
File

1. Visualize Classification Result 2. KMeans Clustering algorithm

19th July Recording (152:33)
File

1. Hierarchical clustering 2. Apriori algorithm under Association 3. Introduction to Time Series

20th July Recording (152:26)
File

Time Series Analysis Part 1

26th July Recording (146:06)

1. Time Series Analysis Part 2 2. Additional reading material for Machine Learning

27th July Recording (106:07)
26th & 27th July Files

11th August

Gen AI Recording (119:20)
Files

12th August

Gen AI Recording (125:51)
File

13th August

Gen AI Recording (124:44)
Files

14th August

Gen AI Recording (122:08)

15th August

Gen AI Recording (115:07)
14th and 15th August Files
15th August Files

16th August

16th August Recording (128:26)

1. Introduction to AI 2. Deep Learning 3. Introduction to Cloud Computing

23rd August Recording (146:45)
File

1. NLP - Data pre-processing, Word cloud and Sentiment Analysis 2. Model Deployment using Flask

24th August Recording (168:02)
File

26th August

Career Building Session part-1 (110:49)
Career Building Session part-2 (71:55)
Files

Resumes building and Sample Interview Questions

Sample Resume
Sample Resume
Sample Interview Questions
Handy Tips for Aspiring Data Scientist to make a resume
Company wise Data Science Questions
What should a candidate ask in an interview
Resume tutorial
Building Skillset
Data
Guesstimates1
Interview Questions and Answers
Online Presence
Questions
Resume tips
Sample GitHub profiles
Sample resumes for experienced

Further Placement Assistance Process

Further Placement Assistance Process (65:02)

6th September

Resume Building Session (116:30)
Files

9 February recording

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