Course Overview
Schedule of Classes
Course Curriculum
12 Subjects
EXL301 :Data Analysis with Excel
4 Exercises • 105 Learning Materials
Resources
EXL_301_Book
PDF
Class Notes
P2: Data Analysis with MS Excel
DOC
P3: Summarizing and Forecasting
DOC
P2: Data Analysis with MS Excel (Math Function)
DOC
P2: Data Analysis with MS Excel (Conditional Statement)
DOC
P3: Summarizing and Forecasting
DOC
P4: Macros and Dashboarding
DOC
Sample Superstore Database
Sample Superstore
DOC
L1: Unleashing the Power of Excel
L1_Excel_Learning Material
PDF
L1: Unleashing the Power of Excel (DPP)
Exercise
L2: Data Analysis with MS Excel
L2_Excel_Learning Material
PDF
L2: Data Analysis with MS Excel (DPP)
Exercise
L3: Summarizing and Forecasting
L3_Excel_Learning Material
PDF
L3: Summarizing and Forecasting (DPP)
Exercise
L4: Macros and Dashboarding
L4_Excel_Learning Material
PDF
L4: Macros and Dashboarding (DPP)
Exercise
DSCUS-FEB24
Excel Notes
ZIP
SQL103 : Data Analysis with SQL
9 Exercises • 162 Learning Materials
Resources
SQL_103_Book
PDF
SQL_103_WorkBook
PDF
Lecture 1
PDF
Lecture 2
PDF
Lecture 3
PDF
Lecture 4
PDF
Lecture 5
PDF
Lecture 6
PDF
Lecture 7
PDF
Class Notes
L3: Data Filtering
ZIP
L4: Data Analysis using aggregate functions and group by
ZIP
L5: Joins and Keys
ZIP
L7: Object Oriented Programming
ZIP
Python Project
ZIP
Clauses of the MySQL
ZIP
Exception handling & L6: Regular Expressions
ZIP
L6: Regular Expressions
ZIP
L6: Subqueries and Views
ZIP
SQL Assignment
SQL Assignment
Assignment
Questions Assignment-2[SQL]
ZIP
SQL_Assignment
Assignment
L1: Introduction to SQL and Installation
L1_SQL_Learning Material
ZIP
L1 Introduction to SQL and MySQL installation (Daily Practice Problem)
Exercise
L1_SQL_DPP Solutions
application/vnd.openxmlformats-officedocument.wordprocessingml.documentapplication/vnd.openxmlformats-officedocument.wordprocess
L2: Data Creation and Retrieval
L2_SQL_Learning Material
ZIP
L2 Data Creation and Retrieval (Daily Practice Problem)
Exercise
L2_SQL_DPP Solutions
application/vnd.openxmlformats-officedocument.wordprocessingml.documentapplication/vnd.openxmlformats-officedocument.wordprocess
L3: Data Filtering
L3_SQL_Learning Material
ZIP
L3: Data Filtering (Daily Practice Problem)
Exercise
L3_SQL_DPP Solutions
application/vnd.openxmlformats-officedocument.wordprocessingml.documentapplication/vnd.openxmlformats-officedocument.wordprocess
L4: Data Analysis using aggregate functions and group by
L4: Data Analysis using aggregate functions and group by (Daily Practice Problem)
Exercise
L4_SQL_DPP Solutions
DOC
L4_SQL_Learning Material
ZIP
L5: Joins and Keys
L5_SQL_Learning Material
ZIP
L5: Joins and Keys (Daily Practice Problem)
Exercise
L5_SQL_DPP Solutions
DOC
L6: Subqueries and Views
L6_SQL_Learning_Material
ZIP
L6: Subqueries and Views (Daily Practice Problems)
Exercise
L7: Window/Analytical Functions
L7_SQL_Learning Material
ZIP
L7: Object Oriented Programming (DPP)
Exercise
L7_DPP_Solutions
DOC
Databases
Databases
ZIP
PY201 : Python Fundamentals
11 Exercises • 224 Learning Materials
Resources
PY_201_Book
PDF
PY_201_WorkBook
PDF
Assignment
Assignment
Assignment
L1: Introduction to Python and Data Science
L1 Python Learning Material
ZIP
L1: Introduction to Python and Data Science (DPP)
Exercise
L1 DPP Solutions
DOC
L1_Practice_Set
ZIP
L1_Practice_Set_Answer_Key
ZIP
L2: Working with Python Data Structures
L2_Python Learning Material
ZIP
L2: Working with Python Data Structures (DPP)
Exercise
L2_DPP_Solutions
DOC
L2_Practice_Set
ZIP
L2_practice_set_answer_key
ZIP
L3: Control Flow Statements
L3_Python_Learning_Material
ZIP
L3: Control Flow Statements (DPP)
Exercise
L3_DPP_Solutions
DOC
Practice Set
ZIP
L4: Functions in Python
L4_Python_Learning_Material
ZIP
L4: Functions in Python (DPP)
Exercise
L4_DPP_Solutions
DOC
Practice Set
ZIP
L5: File Handling in Python
L5_Python_Learning_Material
ZIP
L5: Control Flow Statements (DPP)
Exercise
L5_DPP_Solutions
DOC
Practice Set
ZIP
L6: Regular Expressions
L6_Python_Learning_Material
ZIP
L6: Regular Expressions (DPP)
Exercise
L6_DPP_Solutions
DOC
Practice Set
ZIP
L7: Object Oriented Programming
L7_Python_Learning_Material
ZIP
L7: Object Oriented Programming (DPP)
Exercise
L7_DPP_Solutions
DOC
Practice Set
ZIP
DSCUS-FEB24
Power BI Class
ZIP
SP101 : Statistics & Probablity
5 Exercises • 75 Learning Materials
Resources
SP101W-Workbook-ebook(DPP's)
PDF
SP101-Course Book
PDF
Stats_and_Probability_learning_material
PDF
L1: Introduction to Statistics
L1_Stats_Learning Material
ZIP
L1: Introduction to Statistics (DPP)
Exercise
L2: Probability Theory
L2: Probability Theory (DPP)
Exercise
L3: Sampling Theory
L3_Stats_Learning Material
ZIP
L3: Sampling Theory (DPP)
Exercise
L4: Statistical Inference I
L4: Statistical Inference I (DPP)
Exercise
L5: Statistical Inference II
L5: Statistical Inference II (DPP)
Exercise
Introduction to Statistics
BI Tools and Dashboarding
2 Exercises • 57 Learning Materials
Learning Material
L1_Introduction to Tableau
PDF
L2_Data_Sourcing_and_Preparation
PDF
L3_charts and graphs
PDF
L3_charts_and_graphs_worksheets
ZIP
L4_Grouping Filtering and LOD
PDF
L4 LOD
ZIP
Sample Superstore
ZIP
Tableau Practice Questions (Superstore Dataset)
PDF
Practice Sets
Sample Superstore
ZIP
Tableau Practice Questions (Superstore Dataset)
PDF
Practice Assignment- I
ZIP
Practice Assignment - II
ZIP
Tableau Practice Questions Answers
ZIP
Assignment
Dashboarding Assignment I
Assignment
Dashboarding Assignment - II
Assignment
Tableau Project
Project
ZIP
Class Notes[DSCUS-JAN24+DSCUS-FEB24-1+DSCUS-FEB24-2+DSCUS-FEB24-3+DSCUS-April24-1 + DSCUS-April24-2]
Data Cleaning (Intro. to Tableau)
ZIP
Intro to Tableau and data visualization
ZIP
Intro to Tableau and data visualization
PDF
Class Recordings for Tableau
Data Cleaning
Video
01:30:13
Data Visualization
Video
02:07:00
Data Visualization
Video
02:14:31
Data Filters(Data Segmentation)
Video
02:02:21
LOD Expressions
Video
02:00:25
Advance Data Visualization
Video
01:45:46
Advance Data Visualization
Video
01:41:02
Advance Data Visualization
Video
02:26:50
Project Tableau
Video
02:22:34
PY 203 : Data Cleaning and Preparation
110 Learning Materials
Class Notes [DSCMO-08JUL23]
L5: Extracting and Aggregating Pandas [25/2/24]
ZIP
L6: Matplotlib and seaborn [2-3/3/24]
ZIP
L6 Matplotlib and seaborn [9-10/3/24]
ZIP
Project Session [17/3/24]
ZIP
Day 1: Introduction to Data Cleaning and Data Types [23/4/24]
ZIP
Day 2: Exploring and Visualization the missing values [30/4/24]
ZIP
Day 3 Advance Data Cleaning Concepts [31/3/24]
ZIP
Day 3 Advance Data Cleaning Concepts [6/4/24]
ZIP
Day 4 Introduction to Feature Engineering [7/4/24]
ZIP
Day 4 Introduction to Feature Engineering [13/4/24]
ZIP
Day 4 Introduction to Feature Engineering [14/4/24]
ZIP
Day 5 Feature Extraction and Transformation [20/4/24]
ZIP
Day 6 Feature Selection and Dimensionality Reduction [28/4/24]
ZIP
Class Notes [DSCEV-SEP23]
Day 1: Introduction to Data Cleaning and Data Types [20-21/4/24]
ZIP
Day 2 Exploring and Visualization the missing values [27/4/24]
ZIP
Day 3 Advance Data Cleaning Concepts [28/4/24]
ZIP
Day 3: Advance Data Cleaning Concepts [4/5/24]
ZIP
Day 3: Advance Data Cleaning Concepts [5/5/24]
ZIP
Day 4: Introduction to Feature Engineering [11/5/24]
ZIP
Day 5 Feature Extraction and Transformation [12/5/24]
ZIP
Day 6: Feature Selection and Dimensionality Reduction [18/5/24]
ZIP
Day 6: Feature Selection and Dimensionality Reduction [19/5/24]
ZIP
Data Cleaning Project session [25/5/24]
ZIP
Class Notes{DSCAF-FEB24]
Day 6: Feature Selection and Dimensionality Reduction
PDF
Day 6: Feature Selection and Dimensionality Reduction
ZIP
Class Notes[DSCUS-JAN/FEB24]
Introduction to Data Cleaning and Data Types
ZIP
Day 1: Introduction to Data Cleaning and Data Types
PDF
Day 2: Exploring and Visualization the missing values
PDF
Day 3: Advance Data Cleaning Concepts
ZIP
Day 4: Introduction to Feature Engineering
PDF
Data Cleaning
ZIP
Day 5: Feature Extraction and Transformation
PDF
Day 6: Feature Selection and Dimensionality Reduction
PDF
Class Notes[DSCUK-APR24]
Day 2: Exploring and Visualization the missing values
ZIP
Advance Data Analysis Libraries
ZIP
Day 2: Exploring and Visualization the missing values
ZIP
Class Notes[DSCUS-APR24]
Day 1: Introduction to Data Cleaning and Data Types
ZIP
Day 2: Exploring and Visualization the missing values
ZIP
Day 4: Introduction to Feature Engineering
ZIP
Day 6: Feature Selection and Dimensionality Reduction
ZIP
Project Session
ZIP
Project Session
ZIP
Class Notes[DSCMO-MAY24]
Day 1: Introduction to Data Cleaning and Data Types
ZIP
Day 3: Advance Data Cleaning Concepts
ZIP
Day 4: Introduction to Feature Engineering
ZIP
Class Notes [DSCEV-JAN24]
Day 1: Introduction to Data Cleaning and Data Types [20-21/4/24]
ZIP
Day 2 Exploring and Visualization the missing values [27/4/24]
ZIP
Day 3 Advance Data Cleaning Concepts [28/4/24]
ZIP
Day 3: Advance Data Cleaning Concepts [4/5/24]
ZIP
Day 3: Advance Data Cleaning Concepts [5/5/24]
ZIP
Day 4: Introduction to Feature Engineering [11/5/24]
ZIP
Day 5 Feature Extraction and Transformation [12/5/24]
ZIP
Day 6: Feature Selection and Dimensionality Reduction [18/5/24]
ZIP
Day 6: Feature Selection and Dimensionality Reduction [19/5/24]
ZIP
Data Cleaning Project session [25/5/24]
ZIP
Class Notes[DSCMO-MAR24]
Day 1: Introduction to Data Cleaning and Data Types
ZIP
Day 1: Introduction to Data Cleaning and Data Types
ZIP
Day 2: Exploring and Visualization the missing values
ZIP
Day 3: Advance Data Cleaning Concepts
ZIP
Day 4: Introduction to Feature Engineering
ZIP
Day 5: Feature Extraction and Transformation
ZIP
Data transformation with power query editor
ZIP
Dashboard development day 1
ZIP
DAX Modeling Day 1
ZIP
DAX Modeling Day 2
ZIP
Superstore_dashboard
ZIP
Netflix_dashboard
ZIP
Class Notes[DSCEV-APR24]
Data_Cleaning_Day_2
ZIP
Data_Encoding_techniques
ZIP
Day 2: Exploring and Visualization the missing values
ZIP
Class Notes[DSCUK-MAR24]
Day 3: Advance Data Cleaning Concepts
ZIP
Day 4: Introduction to Feature Engineering
ZIP
Day 1: Introduction to Data Cleaning and Data Types
ZIP
Day 4: Introduction to Feature Engineering
ZIP
Day 5: Feature Extraction and Transformation
ZIP
Feature Engieering
ZIP
Class Notes[DSCUK-MAY24]
Day 1: Introduction to Data Cleaning and Data Types
ZIP
Project_ Sales Data Analysis and Visualization - Ram Manohar
ZIP
Day 5: Feature Extraction and Transformation
ZIP
Class Notes[DSCAF-JUN24]
Data_Cleaning_Day_1
ZIP
Day 3: Advance Data Cleaning Concepts
ZIP
Day 4: Introduction to Feature Engineering
ZIP
Day 6: Feature Selection and Dimensionality Reduction
ZIP
REGRESSION
ZIP
Class Notes[DSCUS-May24]
Day 1: Introduction to Data Cleaning and Data Types
ZIP
Day 2: Exploring and Visualization the missing values
ZIP
Day 5: Feature Extraction and Transformation
ZIP
Day 6: Feature Selection and Dimensionality Reduction
ZIP
Day 5: Feature Extraction and Transformation
ZIP
Day 6: Feature Selection and Dimensionality Reduction
ZIP
Day 5: Feature Extraction and Transformation
ZIP
Day 5: Feature Extraction and Transformation
ZIP
Class Notes[DSCEV-MAY24]
Day 1: Introduction to Data Cleaning and Data Types
ZIP
Day 2: Exploring and Visualization the missing values
ZIP
Day 3: Advance Data Cleaning Concepts
ZIP
Numpy Pandas practice set 1
ZIP
Day 4: Introduction to Feature Engineering
PDF
Day 5: Feature Extraction and Transformation
ZIP
Class Notes[DSCAF-JULY24]
Day 3: Advance Data Cleaning Concepts
ZIP
Advance data cleaning
ZIP
Day 3: Advance Data Cleaning Concepts
ZIP
Day 4: Introduction to Feature Engineering
ZIP
Day 5: Feature Extraction and Transformation
ZIP
PY 202: Python For Data Science _ Data Viz (Pandas)
131 Learning Materials
Lecture1: Using Python Numpy Library
Practice Numpy Basic Operations Day-1
PDF
Basic Operations using Numpy.zip
ZIP
Lecture2: Linear Algebra and Numpy
Practice Linear Algebra and Numpy Operations - Day2
PDF
Linear Algebra using Numpy
ZIP
Lecture5: Extracting and Aggregating Pandas
Extracting and Aggregating using Pandas
ZIP
DPP
PDF
Lecture6: Matplotlib and seaborn
Matplotlib and Seaborn
PDF
Visualisation using Matplotlib and Seaborn
ZIP
Lecture 7: Plotly and Cuffinks
Plotly and Cufflinks
ZIP
Plotly and Cufflinks
PDF
Class Notes [6:30]
Project Session
PDF
Class Notes [DSCEV-SEP23]
L1: Using Python NumPy Library [17/3/24]
ZIP
L1: Using Python NumPy Library [23/3/24]
ZIP
L2: Linear Algebra and NumPy [30/3/24]
ZIP
L2: Linear Algebra and NumPy [31/3/24]
ZIP
L5: Extracting and Aggregating Pandas [6/4/24]
ZIP
L6: Matplotlib and seaborn [7/4/24]
ZIP
L6: Matplotlib and seaborn [13/4/24]
ZIP
L7: Plotly and Cuffinks [14/4/24]
ZIP
Class Notes [DSCUK-APR24]
Introduction to numpy
ZIP
Introduction to numpy
ZIP
L5 Extracting and Aggregating Pandas
ZIP
L6 Matplotlib and seaborn
ZIP
L6: Matplotlib and seaborn
ZIP
L6: Matplotlib and seaborn
ZIP
L7: Plotly and Cuffinks
ZIP
Project Session
ZIP
Class Notes[DSCUS-JAN/FEB24]
L4: Filtering using Pandas
ZIP
L6: Matplotlib and seaborn
ZIP
L6: Matplotlib and seaborn
ZIP
Data Analytics Project
ZIP
Data Analysis Project
ZIP
Class Notes[DSCUS-APR24]
NumPy
ZIP
Data Analysis Revision Session
ZIP
Data Analysis Revision Session
ZIP
Class Notes[DSCMO-MAR24]
L1: Using Python Numpy Library
ZIP
L2: Linear Algebra and Numpy
ZIP
L3: Basics of Series and DataFrame
ZIP
L5: Extracting and Aggregating Pandas
ZIP
L6: Matplotlib and seaborn
ZIP
L7: Plotly and Cuffinks
ZIP
L7: Plotly and Cuffinks
ZIP
Class Notes (DSCUK-MAR24)
Python Project Session
ZIP
L2: Linear Algebra and Numpy
ZIP
L4: Filtering using Pandas
ZIP
L4: Filtering using Pandas
ZIP
Assignment
Data Analysis Assignment.zip
ZIP
Class Notes[DSCEV-APR24]
L1: Using Python Numpy Library
ZIP
L2: Linear Algebra and Numpy
ZIP
L3: Basics of Series and DataFrame
ZIP
L4: Filtering using Pandas
ZIP
L6: Matplotlib and seaborn
ZIP
L6: Matplotlib and seaborn
ZIP
L7: Plotly and Cuffinks
ZIP
Class Notes[DSCUK-MAY24]
L1: Using Python Numpy Library
ZIP
L2: Linear Algebra and Numpy
ZIP
L3: Basics of Series and DataFrame
ZIP
Pandas_operations
ZIP
L6: Matplotlib and seaborn
PDF
Class Notes [DSCEV-JAN24]
Introduction to numpy
ZIP
Introduction to numpy
ZIP
L5 Extracting and Aggregating Pandas
ZIP
L6 Matplotlib and seaborn
ZIP
L6: Matplotlib and seaborn
ZIP
L6: Matplotlib and seaborn
ZIP
L7: Plotly and Cuffinks
ZIP
Project Session
ZIP
Class Notes[DSCAF-JUN24]
L1: Using Python Numpy Library
ZIP
L1: Using Python Numpy Library
ZIP
Filtering using Pandas
ZIP
Filtering using Pandas
ZIP
Matplotlib_Day_1
ZIP
Matplotlib_Day_2
ZIP
Seaborn_Day_1
ZIP
Plotly
ZIP
Class Notes[DSCUS-MAY24]
L5: Extracting and Aggregating Pandas
ZIP
L6: Matplotlib and seaborn
ZIP
L2: Linear Algebra and Numpy
ZIP
L2: Linear Algebra and Numpy
ZIP
L6: Matplotlib and seaborn
ZIP
Class Notes[DSCAF-JUL24]
Introduction to Pandas
ZIP
Using Python Numpy Library
DOC
Numpy
Image
L6: Matplotlib and seaborn
ZIP
L7: Plotly and Cuffinks
ZIP
L6: Matplotlib and seaborn
DOC
L7: Plotly and Cuffinks
ZIP
Class Notes[DSCEV-MAY24]
L2: Linear Algebra and Numpy
ZIP
Basics of Series and Dataframe
ZIP
Pandas and Numpy
ZIP
L5: Extracting and Aggregating Pandas
ZIP
L6: Matplotlib and seaborn
ZIP
L7: Plotly and Cuffinks
ZIP
Data analysis Project session
ZIP
Data analysis Project session
ZIP
Class Notes[DSCINT-AUG24]
numpy
ZIP
L2: Basics of Series and DataFrame
ZIP
Day 6: Feature Selection and Dimensionality Reduction
ZIP
L3: Data Cleaning and Filtering usi
ZIP
L4: Extracting and Aggregating Pandas
ZIP
Day 6: Feature Selection and Dimensionality Reduction
ZIP
Revision on Pandas and Numpy
ZIP
Introduction to Seaborn and Matplotlib
ZIP
Numpy_Rev_and_EDA
ZIP
Advance Data Cleaning Concepts
ZIP
Day 5: Feature Extraction and Transformation
ZIP
Day 6: Feature Selection and Dimensionality Reduction
ZIP
PY 204 : Machine Learning
5 Exercises • 232 Learning Materials
Lecture 1: Modelling with Linear Regression
Simple Linear Regression
ZIP
Multiple Linear regression
ZIP
DPP
PPT
kc_house_data
DOC
Linear regression
PPT
Lecture 2: Regularisation Techniques
Regularization
ZIP
DPP
PDF
Lecture 3: Regularisation Techniques II
Regularization-2
ZIP
Regularization
PPT
practice questions regularization
PDF
Lecture 4: Modelling with Logistic Regression
Logistic regression
ZIP
Logistic Regression
PPT
DPP
PDF
Lecture 5: L5 Understanding other classification algorithm like KNN _ SVM
Understanding other classification algorithm like KNN _ SVM
PPT
Understanding other classification algorithm like KNN _ SVM
ZIP
DPP
PDF
Lecture 6: L6_ Advanced Model Evaluation Techniques
Evaluating Models _ Feature selection (classification _ Regression)
PPT
Evaluating models and feature selection sample code-3
ZIP
Naive bayes
PDF
DPP
PDF
Lecture7: Introduction to Clustering and K Means
Class 6 Introduction to Clustering and K Means
PDF
K-means
ZIP
DPP
PDF
Lecture 8: Advanced Clustering Techniques
Advanced Clustering Techniques
PDF
Hierarchical Clustering
ZIP
DPP
PDF
Class Notes [DSCMO-08JUL23]
Machine Learning [4-12/5/24]
ZIP
L2 Evaluating Models and Feature selection [18-19/5/24]
ZIP
L2 Evaluating Models and Feature selection [25-26/5/24]
ZIP
Class Notes [DSCEV-SEP23]
L1: Modeling with Linear Regression [26/5/24]
ZIP
L7: Introduction to Imbalanced Machine Learning models
ZIP
Class Notes[DSCMO-NOV23]
L8: Advanced Clustering Techniques
ZIP
Class Notes[DSCEV-DEC23]
Logisitc Regression
ZIP
Performance metrics
ZIP
L4: Modeling with Logisitc Regression
ZIP
L5: Understanding other classification algorithm like KNN & SVM
ZIP
L8: Advanced Clustering Techniques
ZIP
Linear regression
ZIP
Class Notes[DSCUS-06-MAR24]
L1: Modeling with Linear Regression
PDF
Day 6: Feature Selection and Dimensionality Reduction
ZIP
L7: Introduction to Clustering and K Means
ZIP
L8: Advanced Clustering Techniques
ZIP
Class Notes{DSCUS-NOV23]
L5: Understanding other classification algorithm like KNN & SVM
ZIP
Class Notes[DSCEV-JAN24]
L1: Modeling with Linear Regression
PDF
L2: Evaluating Models & Feature selection
PDF
Linear_regression
ZIP
Linear_regreesion II
PDF
L3: Regularisation Techniques
PDF
L4: Modeling with Logisitc Regression
PDF
Regularization
ZIP
Logistic regression
ZIP
L5: Understanding other classification algorithm like KNN & SVM
ZIP
L5: Understanding other classification algorithm like KNN & SVM
ZIP
L5: Understanding other classification algorithm like KNN & SVM
PDF
KMeans clustering
ZIP
KMeans clustering
ZIP
L8: Advanced Clustering Techniques
PDF
Advanced Clustering Techniques
ZIP
L4: Modeling with Logistic Regression
PDF
L6: Introduction to extreme Gradient Boosting
PDF
Clustering
ZIP
Class Notes[DSCAF-FEB24]
L1: Modeling with Linear Regression
ZIP
Logistic regression
ZIP
Performance metrics
ZIP
L3: Regularisation Techniques
ZIP
L5: Understanding other classification algorithm like KNN & SVM
ZIP
L6: Advanced Model Evaluation Techniques
ZIP
Machine Learning Project Session
ZIP
Project Session
ZIP
Assignment
ML assignment questions
ZIP
Class Notes[DSCUK-APR24]
Linear regression
PDF
Linear regression.pdf
ZIP
Logistic regression
ZIP
Logistic regression
ZIP
L1: Modeling with Linear Regression
ZIP
Regularisation Techniques
ZIP
L5: Understanding other classification algorithm like KNN & SVM
ZIP
L5: Understanding other classification algorithm like KNN & SVM
ZIP
L6: Advanced Model Evaluation Techniques
ZIP
L8: Advanced Clustering Techniques
ZIP
Linear regression project
ZIP
Linear_regression
ZIP
word2vec
ZIP
ML Project
heart_disease_prediction
ZIP
Class Notes[DSCUS-JAN/FEB24]
Introduction_to_Machine_learning
PDF
L1: Modeling with Linear Regression
PDF
L2: Evaluating Models & Feature selection
PDF
L1: Modeling with Linear Regression
ZIP
Machine_Learning_Regularization tech
PDF
Machine_Learning_r_square
PDF
Linear_regression
ZIP
Machine_Learning_SVM
ZIP
Machine_Learning_Naive_Bayes
PDF
Machine_Learning_K-Means
PDF
Machine_Learning_DBSCAN_2
PDF
Project_session_unsupervised(kmeans)
ZIP
Machine learning project
ZIP
Class Notes[DSCUK-MAR24]
L2: Evaluating Models & Feature selection
ZIP
L5: Understanding other classification algorithm like KNN & SVM
PDF
L5: Understanding other classification algorithm like KNN & SVM
ZIP
Day 3: Advance Data Cleaning Concepts
ZIP
L5: Understanding other classification algorithm like KNN & SVM
PDF
Understanding other classification algorithm like KNN and SVM
PDF
Class Notes[DSCEV-APR24]
Ml_Session_1
ZIP
Ml_Session_1
ZIP
L1: Modeling with Linear Regression
ZIP
L2: Evaluating Models & Feature selection
ZIP
Linear_Regression_Implementation
ZIP
Regression_Model_Evaluation
ZIP
Logistic_Regression_Day_1
ZIP
Logistic_Regression_Day_2
ZIP
Classification_Evaluation_Metrics
ZIP
Regularisation Techniques
ZIP
L8: Advanced Clustering Techniques
ZIP
L8: Advanced Clustering Techniques
ZIP
L7: Introduction to Clustering
ZIP
L8: Advanced Clustering Techniques
ZIP
L5: Understanding other classification algorithm like KNN & SVM
ZIP
L5: Understanding other classification algorithm like KNN & SVM
ZIP
Classifier_Project
ZIP
Imbalanced_Data_Modelling
ZIP
ML_revision
ZIP
Class Notes[DSCMO-MAR24/DSCMO-MAY24]
ML_Day_1
ZIP
Machine_Learning_Day_2
ZIP
Machine_Learning_Day_3
ZIP
L3: Regularisation Techniques
ZIP
Logistic_Regression
ZIP
L7: Introduction to Clustering and K Means
ZIP
L8: Advanced Clustering Techniques
ZIP
L6: Advanced Model Evaluation Techniques
ZIP
L8: Advanced Clustering Techniques
ZIP
L6: Advanced Model Evaluation Techniques
ZIP
L5: Understanding other classification algorithm like KNN & SVM
ZIP
Class Notes[DSCUK-MAY24]
L1: Modeling with Linear Regression
ZIP
Logistic regression
ZIP
L5: Understanding other classification algorithm like KNN & SVM
ZIP
L5: Understanding other classification algorithm like KNN & SVM
ZIP
L6: Advanced Model Evaluation Techniques
PDF
L6: Advanced Model Evaluation Techniques
ZIP
Logistic_Regression_Project
ZIP
SVM
ZIP
L5: Understanding other classification algorithm like KNN & SVM
ZIP
L7: Introduction to Clustering and K Means
ZIP
L7: Introduction to Clustering and K Means
ZIP
KNN_Implementation
ZIP
L4: Modeling with Logisitc Regression
ZIP
Advanced_Model_Evaluation
ZIP
Project Session
ZIP
Regularization_Techniques
ZIP
L6: Advanced Model Evaluation Techniques
ZIP
Project File
ML_classidication project
ZIP
Class Notes[DSCAF-JUNE24]
L1: Modeling with Linear Regression
ZIP
L4: Modeling with Logisitc Regression
ZIP
L5: Understanding other classification algorithm like KNN & SVM
ZIP
L5: Understanding other classification algorithm like KNN & SVM
PDF
L5: Understanding other classification algorithm like KNN & SVM
PDF
L5: Understanding other classification algorithm like KNN & SVM
ZIP
Naive_Bayes
ZIP
Logistic Regression Assignment
Logistic Regression Assignment
Assignment
Support Vector Machine (SVM) Assignment
Support Vector Machine (SVM) Assignment
Assignment
Class Notes[DSCUSA-May24]
L1: Modeling with Linear Regression
ZIP
L2: Evaluating Models & Feature selection
ZIP
L1: Modeling with Linear Regression
ZIP
L2: Evaluating Models & Feature selection
ZIP
L2: Evaluating Models & Feature selection
ZIP
L4: Modeling with Logisitc Regression
PDF
L5: Understanding other classification algorithm like KNN & SVM
ZIP
L5: Understanding other classification algorithm like KNN & SVM
ZIP
L6: Advanced Model Evaluation Techniques
ZIP
L5: Understanding other classification algorithm like KNN & SVM
ZIP
L7: Introduction to Clustering and K Means
ZIP
L8: Advanced Clustering Techniques\
PDF
Project Session
ZIP
L7: Introduction to Clustering and K Means
ZIP
L2: Evaluating Models & Feature selection
ZIP
L2: Evaluating Models & Feature selection
External Link
L8: Advanced Clustering Techniques
ZIP
Class Notes[MBA-RBS-MAY24]
L4: Modeling with Logisitc Regression
ZIP
L5: Understanding other classification algorithm like KNN & SVM
ZIP
L5: Understanding other classification algorithm like KNN & SVM
ZIP
L6: Advanced Model Evaluation Techniques
ZIP
Machine learning models for time series forecasting
ZIP
Capstone Projects
ZIP
Class Notes[MBA-RBS-FEB24-2]
L3: Polynomial Linear Regression
ZIP
Logistic Regression
ZIP
Advanced Clustering Techniques
ZIP
Assignments
15 Exercises •
Exercises on Tableau Dashboarding and Storytelling
Weekly Exercises on Tableau Dashboarding and Storytelling
Assignment
Exercises on SQL Data Filtering
Weekly Exercises on SQL Data Filtering
Assignment
Exercises on Python Data Structures Updated
Weekly Exercises on Python Data Structures Updated
Assignment
Random Forest for Automotive Data Analytics
Weekly Exercises on Random Forest for Automotive Data Analytics
Assignment
Machine Learning for Financial Data Analytics
Weekly Exercises on Machine Learning for Financial Data Analytics
Assignment
NLP Fundamentals for Data Analytics: Social Media Text Analysis
Weekly Exercises on NLP Fundamentals for Data Analytics_ Social Media Text Analysis
Assignment
Weather Prediction Time Series Forecasting
Weekly Exercises on Weather Prediction Time Series Forecasting
Assignment
Statistics for Data Aggregation in Healthcare
Weekly Exercises on Statistics for Data Aggregation in Healthcare
Assignment
Weekly Exercises on Data Analysis & Visualization Fundamentals
Weekly Exercises on Data Analysis & Visualization Fundamentals
Assignment
Exercises on AI-Powered Automation for Data Science Using GitHub Copilot in VS Code
Exercises on AI-Powered Automation for Data Science Using GitHub Copilot in VS Code
Assignment
Exercises on Tableau
Exercises on Tableau
Assignment
Weekly Exercise on LOD in Tableau
Weekly Exercise on LOD in Tableau
Assignment
Weekly Exercises on Dashboarding and Advanced Data Visualization
Weekly Exercises on Dashboarding and Advanced Data Visualization
Assignment
Outreach Session
19 Learning Materials
Mission Mode
Session 1
PPT
Session 2
ZIP
Session 3
ZIP
Mastering Upwork Proposals_ A Comprehensive Guide
PDF
Session 4
ZIP
Session 5
ZIP
Session 6
ZIP
Mastering Cold Outreach
PPT
Building-a-Standout-Data-Science-Portfolio-Beyond-the-Basics
PPT
Sample proposals_ Freelancer
ZIP
Prompting Strategies
PPT
Pricing Mastery
PDF
Report on Freelancing platforms
ZIP
Workshop Session
PDF
Client-Communication-Skills-for-Freelancers
PDF
Client Communication Skills for Freelancers - Workshop 03- 25/9/2025
PDF
Workshop 04 PPt - Oct 3, 2025
PDF
Mastering Client Communication for Data Science Freelancers - Oct 9, 2025
ZIP
Mastering Client Communication for Data Science Freelancers - Oct 16, 2025
PDF
Updated Job Posts in the Market
1 Learning Materials
Power BI
8 Learning Materials
Class Recordings [DSCUS-APR24]
Introduction to Power Bi
Video
01:42:26
Data cleaning/Data analysis
Video
02:00:33
Advanced data visualisation using DAX-II
Video
02:05:27
Advanced data visualisation using DAX-II
Video
01:49:38
Data Visualisation
Video
02:08:17
Data Modelling
Video
01:46:42
Advance data visulization using DAX
Video
01:25:09
Power Bi dashboard/Project Session
Video
02:40:57
Course Instructor
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