Autoplay
Autocomplete
Previous Lesson
Complete and Continue
Cohort 111 - Evening - (DA/DS - SB)
Link, Passcode & Updates Section
Cohort 111 - Career Building Sessions Schedule. No session this weekend as the syllabus is completed
High level overview of data science, business intelligence, analytics and data engineering with real world examples
20th October Recording (155:56)
20th October File
Statistics overview and descriptive statistics.
26 October recording (152:49)
26th October File
Moments of Statistics, measures of spread, shape and errors of data.
27th October Recording (153:54)
27th October File
1. Function & it's type 2. Lambda Function 3. Module-Math ,Random 4. Exceptional Error handling
9th November Recording (154:21)
9th November File
1.Pandas Library --Series, Dataframe, Basics of Statistics
10th November Recording (154:52)
10th November File
Basics of Programming and python
16th November Recording (154:47)
16th November File
Python data structures, functions
23rd November Recording (151:33)
23rd November File
Basic concepts of pandas and numpy along with their functions
24th November Recording (152:12)
24th November File
Basics of Excel, Excel functions and Pivot Table
30th November Recording (150:19)
Advanced excel and statistics using excel
1st December Recording (151:21)
30th November and 1st December File
Databases, SQL, SQL syntax and logic building
7th December Recording (153:21)
Hands on practice of SQL and introduction to data visualization
8th December Recording (152:17)
Files
Data Visualization and Power BI - Introduction to data visualization and Power BI feature
21st December Recording (150:11)
file
Report Visualization and properties - Hands on practice Report Visualization
22nd December Recording (147:55)
file
Hierarchies and drill down reports - Hierarchies and Drill down reports in Power BI
28th December recording (203:06)
files
DAX expressions - DAX expressions in power bi
29th December Recording (148:06)
files
PowerBI deployment and cloud usage
4 january recording (133:30)
File
Data Wrangling, data cleaning and EDA
5th January recording - part 1 (48:04)
5th January recording - part 2 (102:14)
Files
Statistical analysis using visualization in Python
11th January Recording (154:20)
File
Supervised Machine Learning and Linear Regression
12th January Recording (165:09)
Files
Google Collab Links
Theoretical Explanation of Linear regression
18th January Recording (158:52)
File
Explanation of Logistic Regression
19th January Recording (151:46)
File
Assignment
KNN, Decision Trees
25th January Recording (154:01)
File
Decision Trees, Random Forest and KNN
1st February recording (150:51)
Practical: Decision Trees, Random Forest and KNN
2nd February recording (150:27)
files for 1st and 2nd february
K Means Algorithm, Hierarchal Clustering
8th February Recording (149:19)
Practical and theory: NLP
9th February Recording (150:58)
8th and 9th February Files
Basics of Deep Learning, Intro to AI and Cloud Computing
15th February Recording (151:38)
Artificial Neural Network
16th February Recording (150:40)
Files
ANN, Optimizers and Cost functions
22nd February Recording (147:06)
File
Practice module for Deep Learning with Keras
1st March Recording (150:26)
File
Mask Detection project
2nd March Recording (151:06)
File
Object detection using Yolo, OpenCV
8th March Recording (150:48)
Multiple object Detection using Yolo, OpenCV, Intro to Google Colab
15th March Recording (148:49)
Files
Introduction to cloud computing
16th March Recording (148:56)
Files
Comparing various cloud providers
22nd March Recording (150:11)
File
NN Architecture of CNN, RNN and LSTM
23rd March Recording (155:08)
File
Model deployment techniques and about MLOps
29th March Recording (150:30)
File
Overview and hands on Git and Github
30th March Recording (149:46)
File
SDLC, Different SDLC models
5th April Recording (162:10)
Files
Files
Lesson content locked
If you're already enrolled,
you'll need to login
.
Enroll in Course to Unlock