This would be a 40 hours course from a professional data scientist aiming to deliver the useful tips in doing data analysis. How to read the output of the software to make business decision is the ultimate goal of attending this training session. It would be a live training workshop. The attendees' are encouraged to interacting during the sessions.

Topics Covered

Following is the list of my requirements: Data File Creation and Data Processing. • - Create, Edit, and Save R Data File • - Delete Data Values and Declare Missing Values • - Label Values for a Variable and Save Data File • - Importing & Exporting file from different source Data Manipulation. • - Merging • - Splitting • - Selecting Cases • - Data Transformation Descriptive Statistics. • - Mean, Standard Deviation, Histogram, Boxplot, Stemplot, Normality Test, Frequency Table, Bar Chart, Pie Chart • - Scatter Plot • - Cross Tabulation (Contingency Table), Cluster Bar Chart • - Means for Subgroups and Side-by-side Boxplot • - Line Chart for Time Series Data Inference on One Population. • - Confidence Interval Estimate for Population Mean • - One Sample t-Test for Population Mean • - Confidence Interval Estimate for Population Proportion Two Independent Samples t-Test. • - Two Independent Samples t-Test Procedure • - Tests of Normality from Two Samples • - Interpretation of SPSS Output Paired Sample t-Test and Normality Check. • - Paired Sample t-Test • - Normality Test for the Paired-Difference One-way ANOVA and Multiple Comparisons. • - One-way ANOVA • - Interpretation of R Output on One-way ANOVA Nonparametric Tests. • - Sign (Binomial) Test • - Wilcoxon Signed Rank Test • - Wilcoxon Rank Sum Test Chi-Square Tests and Contingency Tables. • - Chi-square Test of Independence for Organized Data (Weight Cases) • - Chi-square Test of Independence for Un-organized Data • - Interpret R Output for Chi-square Test

Who should attend

Any professional/academic researcher willing to learn this tool for data analysis purpose

Pre-requisites

Some basic knowledge of statistics & R programming

What you need to bring

Own laptop with R studio installed

Key Takeaways

You will learn some essential tricks in doing exploratory data analysis.