Home Data Science Course Mumbai R Programming R Programming Thane | Andheri Admission open : 06th April 2020 Weekdays & Weekend Batches Get Brochure (Rated 4.6/5 based on 112 customer reviews) data science course Mode: E-Class @ Google Meet® Mumbai Classroom Branch: Thane Andheri Your data is safe with us, No unnecessary marketing calls! R programing language, handles statistical computation of information and graphical representations. R Programming 8 Lessons 50 hours 0 mins Lessons Introduction to Data Science 120 mins What is Data Science Who is a Data Scientist Types of Data Machine learning introduction Deep learning and AI introduction Introduction to R 240 mins R and R studio installation Variable and data types Vector basic Operators Vector operations Conditional statements and loops Functions Advance R 240 mins Matrices Data frame List Built-in features Apply Math functions Date and time Regular expressions Data I/O 120 mins Web scraping CSV Excel SQL Data manipulation 120 mins Introduction to Dplyr Pipe operator Introduction to Tidyr Data Visualization 240 mins Introduction to ggplot2 Histogram Scatterplot Barplot Boxplot Variable plotting Co-ordinates and Faceting Themes Interactive plotting with plotly Machine Learning with R 1920 mins Introduction to Machine learning Linear regression Logistic regression K-nearest neighbours Decision Tree Random Forest Support vector machines Introduction to unsupervised learning K-means clustering Natural language processing Introduction to Neural nets
Introduction to Data Science 120 mins What is Data Science Who is a Data Scientist Types of Data Machine learning introduction Deep learning and AI introduction
Introduction to R 240 mins R and R studio installation Variable and data types Vector basic Operators Vector operations Conditional statements and loops Functions
Advance R 240 mins Matrices Data frame List Built-in features Apply Math functions Date and time Regular expressions
Data Visualization 240 mins Introduction to ggplot2 Histogram Scatterplot Barplot Boxplot Variable plotting Co-ordinates and Faceting Themes Interactive plotting with plotly
Machine Learning with R 1920 mins Introduction to Machine learning Linear regression Logistic regression K-nearest neighbours Decision Tree Random Forest Support vector machines Introduction to unsupervised learning K-means clustering Natural language processing Introduction to Neural nets
