Intro to Data Science Using R & RStudio

R is one of the most in-demand skills for today’s data science job market. This is your opportunity to take your data science skills to the next level, and improve your productivity and career prospects.

Whether you are currently studying in the field of data science, aspiring to play a key role on a data science team, or already a data scientist, this introduction will provide a great glimpse at the real world of data science. You will acquire the right knowledge and skills for data preparation, wrangling, preprocessing, and analysis, while answering many of your questions to help navigate a data science career path.

Intro To Data Science using R & RStudio $695.00

1) Getting & Loading Your Data
Mining Datasets
Access Your Data Anywhere
Big Data, EDW, CRM, ERP or Social Media
Data formats: csv, xlsx, hive, spark, html, API etc.
Load Data From local File or remote URL

2) Understand Your Data Using Descriptive Statistics
Class Distribution
Data Summary
Standard Deviations
Skewness
Correlations
Hands On Lab

3) Understand Your Data Using Data Visualization
Get Best Results with QPlot, GGPlot, GGViz
Univariate and Multivariate Visualization
Tips For Data Visualization
Hands On Lab

4) Prepare Data for Predictive Modeling
Data Pre-Processing
Scale, Center, Standardize and Normalize Data
Box-Cox and Yeo-Johnson Transform
Principal Component Analysis Transform
Independent Component Analysis Transform
Tips For Data Transforms
Hands On Lab

5) Inferential Statistics
Frequentists vs Bayesians
Hypothesis Testing
Central Limit Theorem
CI, P Value, ANOVA & T-test
Common Pitfalls of Hypothesis Testing
Hands On Lab Session
Bonus Lesson: R’s newest addition Flex Dashboard building multi panel graphics rich dashboards

Each session is broken into 2 hours of in depth topical concepts and presentations, followed by 1 to 2 hours of lab sessions.