Statistical Research Consultants Bangladesh (SRCBD) is offering a two-days day-long (4 Sessions) intensive ONLINE LIVE training course on “R Essentials” dated 28th & 29th May 2021. This course designed to introduce the participants to basic essential statistical techniques and the application of those techniques in the R studio environment.
Learn R from Experienced Statisticians.
Course Fee: 1200Taka. Early bird registration confirmation by 20th May 2021 gets 15% off on total course payment (so, 1020 Taka after discount till 20th May 2021).
Handling data is increasingly becoming essential within a business. R Essentials will help delegates learn the fundamentals of this programming language and use it to perform various forms of data. This 2-day course will also give the skills to create data analysis tasks and enhance the skills when using “R”.
Language: The training will be conducted in Bangla.
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A certificate will be given after the successful completion of the coursework.
Course Schedule: 28.05.2021 (Friday) and 29.05.2021 (Saturday)
Day-1 (Friday) : 1st Session (9.30AM to 12.00PM) and 2nd Session (2.30PM to 5.00PM)
Day-2 (Saturday): 1st Session (10.00AM to 12.30PM) and 2nd Session (2.30PM to 5.00PM)
The class will be conducted by ZOOM.
For further queries, please send an e-mail to email@example.com or call at +88-01792087904.
For any questions, please give us a message at m.me/srcbd.org
Facebook page: www.facebook.com/srcbd.org
Subscribe to YouTube channel: http://shorturl.at/bijrD
1st Session: R basics
Installation and Set-Up of R and R Studio, Overview of R Studio: R Console, R Script, R Markdown, R Environment-Workspace, History, R Documentation, Graphical Output, how to install Packages in R? Basic Computations in R.
R Variables, R Basic Data Types, Vector Basics, Vector Operations, Vector Indexing, Creating R Objects: List and Data Frame, Reading Data from Files, Reading Datasets from Different Data Format, Exploring the basics of data.
2nd Session: Exploratory Data Analysis in R
Summary Statistics, Frequency distribution, One-way table, Two-way tables (Crosstable), Descriptive Statistics, Measures of Central Tendency, Measures of Dispersion, Measures of Distribution (Skewness & Kurtosis), Presenting tables in Smart Ways, Basic Plot in R.
3rd Session: Data Visualization & Correlation in R
Data Visualization using ggplot2 – Overview of ggplot2, Histogram, Scatterplot, Bar diagram, Stacked Bar, Line plot, Layered and Faceting, Tuning ggplot2.
Correlation analysis, Pearson's Correlation Coefficient, Understanding correlation by Scatterplot.
4th Session: Hypothesis & Statistical Modelling in R
Test of Hypothesis in R: How to Construct a Hypothesis, One sample t-test, Two sample t-test, Paired test, Chi Square Test, Analysis of Variance (ANOVA), One-way ANOVA
Statistical Modelling in R: Regression analysis, Regression Coefficient, Coefficient of Determination, Simple linear regression analysis, Multiple Regression Analysis
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