Course Overview:
The Data Science Online Instructor-Led Course is an immersive and comprehensive program designed for individuals aspiring to become proficient data scientists capable of handling the end-to-end data science process. From data acquisition and preprocessing to model building, deployment, and interpretation, this course covers the entire data science lifecycle. Delivered through online instructor-led sessions, participants will gain theoretical knowledge, hands-on skills, and real-world application experience.
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Statistics
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1.0 Descriptive Statistics - Measures of Central Tendency
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Quiz 1 : Types of Data
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2.0 Descriptive Statistics - Measures of Dispersion Part 1
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Quiz 2: Levels of Measurement
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3.0 Measures of Dispersion Part 2
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Quiz 3: Categorical Variables - Visualization Techniques
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4.0 Measures Of Dispersion - Part 3
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Quiz 4: Numerical Variables - Frequency Distribution Table
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5.0 Shape Measures
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Quiz 5 : Standard Deviation
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Descriptive Statistics Study Material
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Quiz 6 : Correlation
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Statistics Blogs
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Python
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6 Introduction to Python
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Quiz : Python Basic
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Quiz 1 : Introduction to Programming
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Python Study Material
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Quiz 2: Why Python?
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Quiz 3: Using Arithmetic Operators in Python
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7.1 String Manipulation & Print formatting options in Python
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Quiz 4: Variables
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8 Tuple, Dictionary, Sets and Conditional Programming in Python
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Quiz 6 : Numbers and Boolean Values in Python
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7 2 List Data Structure in Python
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Quiz 7: Python Strings
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Quiz 8 : Add Comments
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Quiz 9 : Indexing Elements
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9 Conditional Flow and Control Structures
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Quiz 10 : Structuring with Indentation
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9.1 Functions in Python
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Quiz 11 : Comparison Operators
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Quiz 10 : The IF Statement
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10 Lambda Function, Non key var argument, Keyword variable argument in Python
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Quiz 11 : A Note on Boolean Values
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11 Numpy (Arrays, & Matrices) & Introduction to Pandas in Python
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Python list
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Quiz 12 : Lists
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Python Functions
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Quiz 13 : Functions
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12 Data Analytics with Pandas & Data Visualization in Python
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Quiz 14 : Using Methods
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Quiz 15 : Dictionaries
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Quiz 16 : For Loops
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Quiz 17 : Lists with the range() Function
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Quiz 18 : Importing Modules in Python
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Pandas Assignments
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Dowload Pandas Assignment Data Sets
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Data pre processing assignments
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Data exploration assignments
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DATASETS
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Pandas Quiz
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Numpy Quiz
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Python Set
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Python Tuples
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QUIZ FOR GLOBAL & LOCAL VARIABLES
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Python Dictionary
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While & For Loop
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Inferential Statistics
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What is Inferential Statistics
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Assignment-1
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Assignment-2
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Confidence Interval Assignment Solutions , & Anova Test
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Sampling Study Material
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Introduction to Hypothesis Testing
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Central Limit Theorem Study Material
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One Sample z testing
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One Sample t test
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two independent Sample t test Study Material
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Matched Pair t test
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Anova Study Material
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Two Way Anova with and Without Replicatin
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Two way Anova with and without replication Test in Excel
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Chi Square (Test of Independence) test Study Material
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Hypothesis Testing Quiz
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QUIZ FOR INFERENTIAL STATISTICS
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Chisq Test
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Data Science
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Introduction to Data Science , Machine Learning , & its use cases
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What is data science ?
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Linear Regression Theory and Intuition
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Implementing Linear Regression Model in Python using Sklearn and Statsmodel packages
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Linear Regression - Model Evaluation
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Recap of Linear Regression Model using Excel
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K Fold Cross Validation
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Linear Regression - Model Output Interpretation Part-1
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Linear Regression - Model Output Interpretation Part-2
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Validating Linear Regression - Model Assumptions
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Overview of Regularization Technique
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Linear Regression Quiz
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Gradient Descent Quiz
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K Fold Cross Validation Quiz
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Linear Regression Model Interpretation Study Material
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Linear Regression- Model Validation Study Material
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Logistic Regression Study Material
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Feature Selection Study Material
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Download Linear Regression Script with data set
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Case Study Assignment - Linear Regression with data set
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Case Study Assignment Linear Regression Solution
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Download Linear Regression case Study Solution script
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Gradient Descent Study Material
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Logistic Regression Study Material
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Logistic Regression
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Model Diagnostic - Classification Study Material
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Machine Learning life cycle
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Exploratory Data Analysis
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Feature Engineering / Data Transformation / Pre processing
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Feature Scaling
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Gradient Descent Algorithm
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Implementation of Gradient Descent and Stochastic Gradient Descent in Python
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How to Determine the number of iterations to use in Gradient Descent
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Intuition of Logistic Regression
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Logistic Regression Model Diagnostic
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Case Study - Churn Prediction Part 1
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Churn Prediction in Python Part - 2
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Churn Prediction in Python - Part 3
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Recap on Topics Covered part of Logistic Regression Model Diagnostic
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Interpretation of ROC AUC
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Concordance and Discordance Metrics
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Kappa Statistic Metric
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How to Interpret Logistic Regression model output in Python?
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Decision Tree
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Random Forest
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Machine Learning Introduction and Basics
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Intuition of Bagging , & Random Forest model
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What is Boosting in Machine Learning ?
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Intuition of Gradient Boosting Machine for Regression
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Intuition Gradient Boosting for Classification
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Hyper Parameter Tuning - Random Forest
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Hyper Parameter Tuning
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Gradient Boosting for Classification
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Unsupervised Machine Learning - KMeans & Hierarchical Clustering
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Implementing KMeans and Hierarchical Cluster in Python
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Time Series - Arima intuition
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Implementing Time Series in Python
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Multi-layer Perceptron - Neural Network
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Mathematical representation of forward propagation
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Activation functions in neural network
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How does Back propagation works
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Implementation of neural network using keras, & tensorflow
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Machine Learning Model Deployment both on Flask App server and AWS EC2
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Machine Learning Model deployment on AWS EC2
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Computer Vision
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Convolutional Neural Network
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implementation of convolutional neural network in Python
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Recurrent Neural Network - RNN
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Long Short Term Memory - LSTM
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Gates Recurrent Units - GRUs
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CNN + RNN Variants, Fast R-CNN and Mask R-CNN
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Generative AI
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Generative Adversarial Networks - GAN
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Reinforcement Learning and Q-learning
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Chatgpt and Prompt engineering
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