EDA with R via online mode

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Course type: Online Instructor led Course

Platform: Skype

Course ID: 18991

Course type: Online Instructor led Course

Platform: Skype

Students Interested 3 (Seats Left 0)

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Ashish R picture
Ashish R

Professional Doctorate in Industrial Statistics(TU/e),M.Sc in Maths and Computing (IIT)

10 Years of Experience

About Ashish R

Presently working as a business consultant based in Bangalore, India. More than 7 years of experience in solving various industrial problems using Applied Mathematics and Statistical techniques. Worked in Netherlands and Belgium for 2.5 years on various projects for biggies like Philips Medical System, Dow Chemicals, ASML, PSA-HNN, Bavaria Brewery. Have extensive experience in designing study material and delivering lectures on applying statistics in solving various business problems.
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About the Course

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.

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