Free Certification Course Title: R Programming : Data Analysis and Visualisations using R
Learn how to use the R programming language for Data Analysis and Data visualization!(GGPlot2, Statistical, Packages)
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What you’ll learn:
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Master the use of the R and R Studio interactive environment
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How to download R programming language and R Studio IDE
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Getting familiar with the Console, Script, Environment, Help, and Plots panels.
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Understanding different data types in R
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How to create, manipulate and work with different data types like Vectors, Matrices, Lists, Arrays, and Data frames.
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Installing and loading the Packages in the R environment.
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Reading and writing various Data Files like CSV, Xls, XML, JSON, xlsx, txt.
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Using various functions associated with the data frames and performing data manipulation on the data frames/files.
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Performing data Transformation and data analysis on the data files and data frames.
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Getting familiar with the packages: ggplot2, tidyverse, dplyr, plotly
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How to load and work upon various datasets which are native to R.
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Performing data visualization by creating various plots.
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learn to draw plots in R studio: Pie Charts, Bar Charts, Box plots, Histograms, Line Graphs, Scatter Plots.
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Learn how to draw some advanced plots like Density charts, Bubble plots, lollipop charts, 3D charts in R studio
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How to perform Data Analysis and Visualization using R in R studio.
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Install External Libraries to Power up R
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Compute Basic Statistics about a Dataset
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Develop your own Functions in R
Requirements:
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No prior knowledge of R or R Studio is required. You will learn all from the basics.
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Who this course is for:
- For the Beginners who want to learn the R programming language to perform data analysis and Visualization. It will be helpful for those who are curious about Data Science, as it is part of data science.
- Data Analysts
- Software Engineering Undergraduates
- Data Scientists
- Data Engineers
- R learners
- Statisticians
- Researchers
- If you want to learn R by doing
- If you like exciting challenges
This course includes:
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3.5 hours on-demand video
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Full lifetime access
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Access on mobile and TV
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Certificate of completion
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