Statistical

SkillShare – Getting Started with R Statistical Software

SkillShare – Getting Started with R Statistical Software-SkilledHares
English | Size: 616.05 MB
Category: Programming


R is a free open source statistical software program that is widely used in both academia and commercial organizations.

Skillshare – Data Analysis And Statistical Modeling In R-

Skillshare – Data Analysis And Statistical Modeling In R-SkilledHares
English | Size: 2.73 GB
Category: Tutorial


Before applying any data science model its always a good practice to understand the true nature of your data. In this Course we will cover fundamentals and applications of statistical modelling. We will use R Programming Language to run this analysis. We will start with Math, Data Distribution and statistical concepts then by using plots and charts we will interpret our data. We will use statistical modelling to prove our claims and use hypothesis testing to confidently make inferences.

[Update Links] PluralSight – Interpreting Data With Advanced Statistical Models

PluralSight – Interpreting Data With Advanced Statistical Models-JGTiSO
English | Size: 457.67 MB
Category: Tutorial

Data is everywhere and we always hear about statistics, even if we do not realize it! Over this course we will shape up our statistical knowledge; going from zero to hero analyzing complex patterns of everyday real-world problems.

PluralSight – Interpreting Data Using Statistical Models With Python

PluralSight – Interpreting Data Using Statistical Models With Python-JGTiSO
English | Size: 359.00 MB
Category: Tutorial

Data science and data modeling are fast emerging as crucial capabilities that every enterprise and every technologist must possess these days. Increasingly, different organizations are using the same models and modeling tools so what differs is how those models are applied to the data. Today, more than ever, it is really important that you know your data well

PluralSight – Building Statistical Summaries With R

PluralSight – Building Statistical Summaries With R-JGTiSO
English | Size: 360.13 MB
Category: Programing

This course covers inferential statistics techniques. Learn advanced techniques to compare means across categories, predictive models for regression and classification, and A/B testing to perform randomized experiments on two versions of a variable.