Posted on 2020-05-31, by 0nelovee.
R Programming: R for Data Science and Data Analytics A-Z�
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 34 lectures (7 hour, 28 mins) | Size: 3.08 GB
Learn R Programming Hands-on - Vectors and Data Frames, R Packages & Functions, R in Data Visualization, Apply R for ML
What you'll learn
Install R and R studio on Windows and Ubuntu machine.
The core principles of R programming.
Manage R Packages and working directory.
Build user defined functions.
R�s Decision Branching methods and loop operations.
About Data types and Data structures.
Operations on Vectors, Lists, Matrices, Arrays and Data frames.
Manage data from External Sources (csv, Excel, JSON and XML files).
Arrange Factor Data and the process of conversion ( vector to factor)
Work with External Database.
Visualize data in a structured way using ggplot2 package.
Understand the statistical concepts (like. Mean, Median, Correlation, Standard deviation, Normal Distribution) with proper R examples.
Hypothesis testing in R ( t-test & Chi Squared Test )
The concept of Missing Value and their imputation process.
Detect and Remove the outliers from data set.
The concept, application, Mathematical computation and a complete data analysis using Simple Linear regression.
Build and interpret a multiple linear regression model in R and also check the overall quality of the model.
Generate a Logistic Regression Model, Predict the outcome from LR model and evaluate your model using Confusion Matrix and ROC- AUC Curve.
Knowledge of Basic Statistics
General idea how programing language works
R programming for Data Science and Data Analytics:
Data analysis is one of the leading jobs in the current techno
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