Applied Statistics using R with Data Processing
Applied Statistics with R
Applied Statistics using R with Data Processing free download
Applied Statistics with R
Why learn Data Analysis and Data Science?
According to SAS, the five reasons are
1. Gain problem-solving skills
The ability to think analytically and approach problems in the right way is a skill that is very useful in the professional world and everyday life.
2. High demand
Data Analysts and Data Scientists are valuable. With a looming skill shortage as more and more businesses and sectors work on data, the value is going to increase.
3. Analytics is everywhere
Data is everywhere. All company has data and need to get insights from the data. Many organizations want to capitalize on data to improve their processes. It's a hugely exciting time to start a career in analytics.
4. It's only becoming more important
With the abundance of data available for all of us today, the opportunity to find and get insights from data for companies to make decisions has never been greater. The value of data analysts will go up, creating even better job opportunities.
5. A range of related skills
The great thing about being an analyst is that the field encompasses many fields such as computer science, business, and maths. Data analysts and Data Scientists also need to know how to communicate complex information to those without expertise.
The Internet of Things is Data Science + Engineering. By learning data science, you can also go into the Internet of Things and Smart Cities.
This is the bite-size course to learn R Programming for Applied Statistics. In CRISP-DM data mining process, Applied Statistics is at the Data Understanding stage. This course also covers Data processing, which is at the Data Preparation Stage.
You will need to know some R programming, and you can learn R programming from my "Create Your Calculator: Learn R Programming Basics Fast" course. You will learn R Programming for applied statistics and you will be able
You can take the course as follows, and you can take an exam at EMHAcademy to get SVBook Certified Data Miner using the R certificate :
- Create Your Calculator: Learn R Programming Basics Fast (R Basics)
- Applied Statistics using R with Data Processing (Data Understanding and Data Preparation)
- Advanced Data Visualizations using R with Data Processing (Data Understanding and Data Preparation, in the future)
- Machine Learning with R (Modeling and Evaluation)
Content
Getting Started
Getting Started 2
Getting Started 3
Data Mining Process
Download Data set
Read Data set
Mode
Median
Mean
Range
Range 2
Range 3
IQR
Quantile
Population Variance
Sample Variance
Variance
Standard Deviation
Normal Distribution
Skewness and Kurtosis
Summary() and Str()
Correlation
Covariance
Inferential Statistics Tests
One Sample T Test
Two Sample Unpaired T Test
Two Sample Unpaired T-Test (Variance not Equal)
Two Sample Paired T Test
Chi-Square Test
One Way ANOVA
Two Way ANOVA
MANOVA
Simple Linear Regression
Multiple Linear Regression
Data Processing: Select Variables
Data Processing: Sort Data
Data Processing: Filter Data
Data Processing: Remove Missing Values and Remove Duplicates
References:
This course is actually based on the Learn R for Applied Statistics book I have published at Apress.
