Data Science

Data Science with R – Data Analytics – Part I
1. Programming Foundation in R
Data Science with R – Data Analytics – Part II
1. Data Manipulation with 'dplyr'
2. Data Visualization with 'ggplot2'
3. Introduction to Shiny
Data Science with Python – Data Analytics – Part – I
1. Python Programming Language I
2. Python Programming Language II
3. Python Programming Language III
Data Science with Python – Data Analytics – Part – II
1. Numpy and Scipy
2. Pandas
3. Matplotlib and Seaborn
4. Python lab : Linear Regression from scratch
Data Science – Statistics
1. Foundations on Statistics
Data Science with R – Machine Learning – Part – I
1. Introduction to Machine Learning
Data Science with R – Machine Learning – Part – II
1. Generalized Linear Models o Logistic Regression
2. The Curse of Dimensionality
3. The Curse of Dimensionality
4. Guest Lecture: Dataiku Part I
Data Science with R – Machine Learning – Part – III
1. Classification
2. Cluster Analysis

Data Science with R – Machine Learning – Part – IV
1. Association Rules
2. Naive Bayes Analysis
3. Introduction to Natural Language Processing
4. Time Series Analysis
5. ARIMA
Data Science with Python – Machine Learning
1. Machine Learning Recap / Linear Regression
2. Classification Part I
3. Model Selection
4. Classification Part II
5. Unsupervised learning

Duration : 2Months

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