Live Faculty based training for QuestPond's long 5 years validity subscribers on every Saturday

Currently Step by Step Training on Learn Data Science - "R" programming

We at QuestPond conduct weekend training through GoToTraining on every Saturday for QuestPond active long 5 years validity members. At QuestPond, we along with trainer simplify complex topics and deliver it in simpler training. Starting from Saturday 07th April 2018 Step by Step Training on Data Science using "R" programming, timing 09:00 PM to 10:30 PM India time.

Below are the features of the training: -

• Training are conducted by professional trainer from corporate holding huge experience and technical expertise.
• Training agenda along with dates are e-mailed prior in advance to all subscribers.
• Training is provided with real world examples.
• Queries related to training or topics which is not understood is explained again.
• If queries is not solved during training you can email us and we will reply all your queries.

Starting from Sat 07th April 2018 on Data Science using "R" programming every Saturday evening time 09:00 PM to 10:30 PM India time

Agenda for on Data Science using "R" programming training

Introduction to R R Packages R Programming if statements while statements repeat statements break and next statements switch statement scan statement Executing the commands in a File Data structures Vector Matrix Array Data frame List Data Visualization in R - Bar chart, Dot plot Scatter plot, Pie chart Histogram and Box plot

Heat Maps World Cloud Functions - DPLYR & apply Function Import Data File DPLYP - Selection DPLYP - Filter DPLYP - Arrange DPLYP - Mutate break and next statements DPLYP - Summarize Introduction to statistics - Type of Data Distance Measures (Similarity, dissimilarity, correlation) Euclidean space. Manhattan Minkowski Cosine similarity Mahalanobis distance Pearson's correlation coefficient Probability Distributions

Classification - Decision Tree Logistic Regression Bayesian Support Vector Machines Hypothesis Testing I - Hypothesis Testing Introduction Hypothesis Testing - T Test, Anova Hypothesis Testing II Hypothesis Testing about population Chi Square Test F distribution and F ratio Regression Analysis - Regression Linear Regression Models Non Linear Regression Models Clustering - K-means Clustering and Case Study DBSCAN Clustering and Case study Hierarchical Clustering Association - Apriori Algorithm Candidate Generation Visualization on Associated Rules

Our online training is conducted using GoToTraining