Example Curriculum
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- What is Data? (1:57)
- What is Data? - Quiz
- Types of Data (3:28)
- Types of Data - Quiz
- Types of Data Sources (4:04)
- Types of Data Sources - Quiz
- Common Data Storage Units of Measurement (1:38)
- Common Data Storage Units of Measurement - Quiz
- Characteristics of Data (1:54)
- Characteristics of Data - Quiz
- Introduction to Artificial Intelligence and Data Science (5:25)
- Introduction to Artificial Intelligence and Data Science - Quiz
- Need of AI – ML in Business (5:12)
- Need of AI – ML in Business - Quiz
- Applications of Data Science in Business (4:34)
- Applications of Data Science in Business - Quiz
- Dimensionality Reduction – Feature Selection Techniques (5:32)
- Dimensionality Reduction – Feature Selection Techniques - Quiz
- Dimensionality Reduction - Feature Extraction (3:03)
- Dimensionality Reduction - Feature Extraction - Quiz
- Introduction to Feature Engineering (6:17)
- Introduction to Feature Engineering - Quiz
- Outlier Detection and Treatment (4:17)
- Outlier Detection and Treatment - Quiz
- Types of Analytics (4:39)
- Types of Analytics - Quiz
- Data Driven Decision Making (4:53)
- Data Driven Decision Making - Quiz
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days
days
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- Harnessing Data (3:15)
- Harnessing Data - Quiz
- Data Acquisition (1:26)
- Data Acquisition - Quiz
- Data Preparation (2:28)
- Data Preparation - Quiz
- Data Modelling (3:36)
- Data Modelling - Quiz
- Data Visualization (7:28)
- Data Visualization - Quiz
- Data Science in Decision Making (6:36)
- Data Science in Decision Making - Quiz
- Data Security, Governance and Administration (3:39)
- Data Security, Governance and Administration - Quiz
- Introduction to Rubiscape Unified Data Science Platform and Toolkits (3:53)
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days
days
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- Introduction to Statistics (3:30)
- Introduction to Statistics - Quiz
- Exploratory Data Analysis (5:01)
- Exploratory Data Analysis - Quiz
- Discrete Statistical Distributions (11:14)
- Continuous Statistical Distributions (8:36)
- Distributions Quiz
- Correlation (6:24)
- Correlation - Quiz
- Regression (9:12)
- Regression - Quiz
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days
days
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- The Decision Making Process (6:00)
- The Decision Making Process - Quiz
- Model Selection (6:16)
- Model Selection - Quiz
- Performance Parameters of Models (11:50)
- Performance Parameters of Models - Quiz
- Introduction to Model Life Cycle Train-Test-Validate-Publish (6:12)
- Introduction to Model Life Cycle Train-Test-Validate-Publish - Quiz
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days
days
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- Introduction to Programming in Data Science (5:18)
- Introduction to Programming in Data Science - Quiz
- Introduction to Python (5:26)
- Introduction to Python - Quiz
- Python Installation and Setup (2:39)
- Jupyter Notebook (3:56)
- Basic Syntax of Python (7:27)
- Basic Syntax of Python - Quiz
- Python Data Types - List and Tuples (10:01)
- Python Data Types - Numbers, String and Booleans (5:14)
- Python Data Types - Sets and Dictionaries (6:53)
- Python Data Types - Quiz
- R Programming Language (8:34)
- R Programming Language - Quiz
- Installation and Setup of R (2:32)
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days
days
after you enroll
- Introduction to Arrays (7:06)
- Introduction to Arrays - Quiz
- Operators in Python (9:33)
- Operators in Python - Quiz
- Conditional Statements and Loops (8:45)
- Conditional Statements and Loops - Quiz
- Functions (7:13)
- Functions - Quiz
- Methods (5:02)
- Methods - Quiz
- Classes and Objects in Python (6:05)
- Concepts in Object Oriented Programming (8:02)
- Classes and Objects in Python - Quiz
- Modules and Packages in Python (8:02)
- Modules and Packages in Python - Quiz
- Introduction to NumPy Library (20:14)
- Introduction to NumPy Library - Quiz
- Introduction to Pandas Library (13:07)
- Introduction to Pandas Library - Quiz
- Introduction to Scikit-Learn Library (9:21)
- Introduction to Scikit-Learn Library - Quiz
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days
days
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- R Data Types and Variables (4:12)
- R Data Types and Variables - Quiz
- Operators in R (4:58)
- Operators in R - Quiz
- Data Structures in R (10:29)
- Data Structures in R - Quiz
- Loops and Statements in R (10:28)
- Loops and Statements in R - Quiz
- Functions (5:39)
- Packages and Modules (5:27)
- Packages and Modules - Quiz
- Object Oriented Programming in R (4:09)
- Object Oriented Programming in R - Quiz
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days
days
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- What is Machine Learning (3:54)
- What is Machine Learning - Quiz
- Need of Machine Learning (4:15)
- Need of Machine Learning - Quiz
- Types of Machine Learning (5:45)
- Types of Machine Learning - Quiz
- Applications and Challenges in Machine Learning (4:45)
- Applications and Challenges in Machine Learning - Quiz
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days
days
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- Linear Regression (6:01)
- Linear Regression - Quiz
- Gradient Descent (11:08)
- Gradient Descent - Quiz
- Performance Metric Calculations (10:14)
- Performance Metric Calculations - Quiz
- Logistic Regression (7:05)
- Logistic Regression - Quiz
- Support Vector Machine (SVM) (7:10)
- Support Vector Machine (SVM) - Quiz
- Introduction to Classification (4:11)
- Introduction to Classification - Quiz
- Confusion Matrix (7:56)
- Confusion Matrix - Quiz
- AUC-ROC Curve (4:06)
- AUC-ROC Curve - Quiz
- Introduction to Decision Tree (4:48)
- Introduction to Decision Tree - Quiz
- Entropy and Information Gain (4:21)
- Entropy and Information Gain - Quiz
- Gini Index (2:12)
- Gini Index - Quiz
- Pruning (1:56)
- Pruning - Quiz
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days
days
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- Introduction to Ensemble Learning (6:20)
- Introduction to Ensemble Learning - Quiz
- Overfitting and Underfitting (10:07)
- Overfitting and Underfitting - Quiz
- Regularization (7:51)
- Regularization - Quiz
- Normalization (5:53)
- Normalization - Quiz
- Random Forest (7:35)
- Random Forest - Quiz
- Hyperparameter Tuning (7:32)
- Hyperparameter Tuning - Quiz
- Advanced Algorithms on Bagging and Boosting (24:36)
- Advanced Algorithms on Bagging and Boosting - Quiz
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days
days
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- Introduction to the Unsupervised Learning (3:38)
- Introduction to the Unsupervised Learning - Quiz
- Centroid Based Clustering (6:14)
- Centroid Based Clustering - Quiz
- Distance Based Clustering (5:24)
- Distance Based Clustering - Quiz
- Density-Based Clustering (8:51)
- Density-Based Clustering - Quiz
- Incremental Clustering (2:53)
- Incremental Clustering - Quiz
Available in
days
days
after you enroll
Available in
days
days
after you enroll
Available in
days
days
after you enroll
- Moving Average (8:38)
- Moving Average - Quiz
- Exponential Smoothing (3:48)
- Exponential Smoothing - Quiz
- Holt’s Exponential Smoothing (2:18)
- Holts Exponential Smoothing - Quiz
- Holt-Winters Exponential Smoothing (4:00)
- Holt’s Winter Exponential Smoothing - Quiz
- Introduction to Evaluation Metrices (11:58)
- Introduction to Evaluation Metrices - Quiz
- AIC and BIC (6:24)
- AIC and BIC - Quiz
Available in
days
days
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- Introduction to Regression (6:20)
- Introduction to Regression - Quiz
- Types of Regression (15:36)
- Types of Regression - Quiz
- Forecasting with Multiple Regression (6:09)
- Forecasting with Multiple Regression - Quiz
- Lurking Variable, Dummy Variable, Near Multicollinearity Variable (5:43)
- Lurking Variable, Dummy Variable, Near Multicollinearity Variable - Quiz
Available in
days
days
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- Introduction to NLP (4:15)
- Introduction to NLP - Quiz
- Applications of Natural Language Processing (4:53)
- Applications of Natural Language Processing - Quiz
- Applications of Clustering (3:46)
- Applications of Clustering - Quiz
- Textual Classification (2:58)
- Textual Classification - Quiz
- Text Classification using AdaBoost (Adaptive Boosting) (1:45)
- Text Classification using AdaBoost (Adaptive Boosting) - Quiz
- Text Classification Using SVM (1:45)
- Text Classification Using SVM - Quiz
- Naïve Bayes (6:51)
- Naïve Bayes - Quiz
- Performance Metrics (12:08)
- Performance Metrics - Quiz
Available in
days
days
after you enroll
Available in
days
days
after you enroll
Available in
days
days
after you enroll
Available in
days
days
after you enroll
Available in
days
days
after you enroll
Available in
days
days
after you enroll
- Introduction to RNN (10:40)
- Introduction to RNN - Quiz
- LSTM (15:10)
- LSTM - Quiz
- Gated Recurrent Unit (GRU) (9:24)
- Gated Recurrent Unit (GRU) - Quiz
- Introduction to CNN (5:56)
- Introduction to CNN - Quiz
- Stride, Padding, and Feature Maps (4:58)
- Stride, Padding, and Feature Maps - Quiz
- Pooling Layer (2:19)
- Pooling Layer - Quiz
- Transfer Learning (2:27)
- Transfer Learning - Quiz
Available in
days
days
after you enroll
- Image Formation and Sensing (15:54)
- Image Formation and Sensing - Quiz
- Image Analysis (4:38)
- Image Analysis - Quiz
- Image Pre-Processing (10:19)
- Image Pre-Processing - Quiz
- Edge Detection (15:12)
- Edge Detection - Quiz
- Image Segmentation (21:33)
- Image Segmentation - Quiz
- Feature Extraction (22:49)
- Feature Extraction - Quiz
- Pattern Recognition (5:34)
- Pattern Recognition - Quiz
- Supervised Classification Algorithms for Pattern Recognition (11:08)
- Supervised Classification Algorithms for Pattern Recognition - Quiz
- Unsupervised Classification or Clustering Algorithms for Pattern Recognition (11:12)
- Unsupervised Classification or Clustering Algorithms for Pattern Recognition - Quiz
Available in
days
days
after you enroll
- Code Fusion - RubiPython (8:43)
- Regression Analysis (10:12)
- Regression - Hyperparameter Optimization (7:39)
- Classification (10:03)
- Classification - Hyperparameter Optimization (7:44)
- Statistical Analysis - Correlation and Covariance (5:23)
- Statistical Analysis - Hypothesis Testing - Non Parametric (7:46)
- Statistical Analysis - Hypothesis Testing - Parametric (7:42)
- Statistical Analysis - Statistical Tests (6:07)
- Statistical Analysis - ANOVA (5:18)
- Data Preparation - Aggregation (7:30)
- Data Preparation - Descriptive Statistics (4:16)
- Data Preparation - Filtering (6:23)
- Clustering (8:57)
- Association Rule Mining (8:49)
- AutoML (17:44)
- Data Preparation - Sampling (8:20)
- Data Preparation - Outlier Detection (8:10)
- Data Preparation - Missing Value Imputation (6:13)
- End to End ML Project (15:40)
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