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Data Analytics with R Certification Training

1 day, 6 hours
5/5

Data Analytics with R Certification training at Zx Academy gives you a complete understanding of the essential topics covered in the Data Analytics with R Certification Training course. In addition, getting certified in Data Analytics with R and increasing your income potential, Zx Academy demonstrates the skills required to be an effective Data Analyst. The Data Analytics with R Certification validates the ability to produce high-quality results with increased efficiency.

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Course Overview

Zx Academy's Data Analytics with R certification course training helps you to attain expertise in Data Manipulation, R Programming, Data Visualization, Data Analysis, Sentiment Analysis, Data Mining Regression, Sentiment Analysis, Regression, and Data Mining using R Studio for real-life scenarios on Social Media, Retail. This Data Analytics course covers the software tools and applications that are unique to R. It also discovers how R lets you organize, clean, visualize, analyze, and report data in more powerful ways. Data analysis offers enormous opportunities, and it focuses on applying statistical, analyzing data sets, and analytical techniques for prediction and decision making for business success. R is an open-source programming language for graphics and statistical computing. Also, R provides a wide variety of graphical and statistical techniques and is highly extensible. Highlights of Zx Academy Training:
  • 24/7 Support throughout the training period
  • Live online classes
  • Training under industry experts
  • Free study material
  • Flexible timings to all our students
What will you learn in Data Analytics with R training? After completion of the Data Analytics with R certification training, you will learn:
  • Introduction to Data Analytics and R Programming
  • Data Import Techniques in R
  • Data Manipulation in R
  • Data Visualization in R
  • Exploratory Data Analysis
  • Data Mining: Association Rule Mining
  • Data Mining: Clustering Techniques
  • Anova and Sentiment Analysis
  • Linear and Logistic Regression
  • Data Mining: Decision Trees
Who should take this Data Analytics with R training? The Data Analytics with R certification training course is beneficial for:
  • Professionals from Statistics, Mathematics or Economics background
  • Professionals and students who are interested in working in the analytics industry
What are the prerequisites for taking Data Analytics with R training? The prerequisite for taking Data Analytics with R certification training is the basic knowledge of statistics. Why should you go for Data Analytics with R training? Zx Academy's Data Analytics with R training certifies the candidate in mastering the Analytics tool. "R" wins on Graphical capability and Statistical capability. The Data Analytics with R course training is helpful for all those professionals and students who are interested in the working analytics industry. This course is for all individuals who are ambitious to become "Data Analysts." Moreover, this course is for professionals from statistics, mathematics, or economics background. Salary as per market According to Glassdoor, the average salary of a Data Analyst is Rs.8,00,000 per annum.

Curriculum – Data Analytics with R Certification

  • R tools and their uses in Business Analytics
  • Objectives
  • Analytics
  • Where is analytics applied?
  • Responsibilities of a data scientist
  • Problem definition
  • Summarizing data
  • Data collection
  • Difference between R and other analytical languages
  • Different data types in R
  • Built in functions of R: seq(), cbind (), rbind(), merge()
  • Subsetting methods
  • Use of functions like str(), class(), length(), nrow(), ncol(),head(), tail()
  • Steps involved in data cleaning
  • Problems and solutions for Data cleaning
  • Data inspection
  • Use of functions grepl(), grep(), sub()
  • Use of apply() function
  • Coerce the data
  • How R handles data in a variety of formats
  • Importing data from csv files, spreadsheets and text files
  • Import data from other statistical formats like sas7bdat and sps
  • Packages installation used for database import
  • Connect to RDBMS from R using ODBC and basic SQL queries in R
  • Basics of Web Scraping
  • Understanding the Exploratory Data Analysis(EDA)
  • Implementation of EDA on various datasets
  • Boxplots
  • Understanding the cor() in R
  • EDA functions like summarize()
  • llist()
  • Multiple packages in R for data analysis
  • Segment plot HC plot in R
  • Understanding on Data Visualization
  • Graphical functions present in R
  • Plot various graphs like tableplot
  • Histogram
  • Box Plot
  • Customizing Graphical Parameters to improvise the plots
  • Understanding GUIs like Deducer and R Commander
  • Introduction to Spatial Analysis
  • Introduction to Data Mining
  • Understanding Machine Learning
  • Supervised and Unsupervised Machine Learning Algorithms
  • K-means Clustering
  • Association Rule Mining
  • Sentiment Analysis
  • Linear Regression
  • Logistic Regression
  • Decision Trees
  • Algorithm for creating Decision Trees
  • Greedy Approach: Entropy and Information Gain
  • Creating a Perfect Decision Tree
  • Classification Rules for Decision Trees
  • Concepts of Random Forest
  • Working of Random Forest
  • Features of Random Forest

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