Example Curriculum
Data Science Foundation
Available in
days
days
after you enroll
- 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 Extraction (3:03)
- Dimensionality Reduction - 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 Science Process
Available in
days
days
after you enroll
- 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
Statistics in Data Science
Available in
days
days
after you enroll
Languages for Data Science
Available in
days
days
after you enroll
Python Programming
Available in
days
days
after you enroll
- Introduction to Arrays (7:06)
- Introduction to Arrays - Quiz
- Operators in Python (9:33)
- Operators in Python - Quiz
- Introduction to Pandas Library (13:07)
- Introduction to NumPy Library (75:54)
- Introduction to NumPy Library - Quiz
- Introduction to Scikit-Learn Library (18:42)
- Introduction to Scikit-Learn Library - Quiz
R Programming
Available in
days
days
after you enroll
Introduction to Machine Learning
Available in
days
days
after you enroll
- What is Machine Learning (3:54)
- What is Machine Learning - Quiz
- Need of Machine Learning (12:45)
- 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
Supervised Machine Learning
Available in
days
days
after you enroll
- 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)
- 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
Ensemble Learning
Available in
days
days
after you enroll
Unsupervised Machine Learning
Available in
days
days
after you enroll
Introduction to Forecasting
Available in
days
days
after you enroll
Time Series Data
Available in
days
days
after you enroll
Forecasting Algorithms and Evaluation Metrics
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
Forecasting with Regression
Available in
days
days
after you enroll
Introduction to Natural Language Process
Available in
days
days
after you enroll
Data Preparation for Text Mining
Available in
days
days
after you enroll
Sentiment Analysis and Clustering
Available in
days
days
after you enroll
Introduction to Deep Learning
Available in
days
days
after you enroll
Activation Function and Optimization Function
Available in
days
days
after you enroll
Getting Started with RubiStudio !!
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 (3:45)
- Data Preparation - Descriptive Statistics (4:16)
- Data Preparation - Filtering (6:23)
- Clustering (8:57)
- Association Rule Mining (8:49)
- AutoML (8:52)
- 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)
Feedback
Available in
days
days
after you enroll
Explore more courses
Check your inbox to confirm your subscription