Data Analytics with R Training

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Data Analytics with R Course Details

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 Certification 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 Certification 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 Certification 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 Certification 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 Trends:

According to Glassdoor, the average salary of a Data Analyst is Rs.8,00,000 per annum.

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Data Analytics with R Curriculum

Business Analytics, Data, Information, how information hierarchy can be improved/introduced, understanding Business Analytics and R, knowledge about the R language, its community and ecosystem, understand the use of 'R' in the industry, compare R with other software in analytics, Install R and the packages useful for the course, perform basic operations in R using command line, learn the use of IDE R Studio and Various GUI, use the ‘R help’ feature in R, knowledge about the worldwide R community collaboration.

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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Projects on Data Analytics with R

 

Exploratory Data Analysis (EDA) Project:

Objective: This project seeks to introduce beginner students to R and its capabilities for data exploration and visualization.

Project Description: Give students access to a CSV file and ask them to conduct an EDA on it. In this project, they can clean and preprocess their data before performing various analysis such as summary statistics generation or creating visualizations such as histograms, scatter plots or bar charts to understand its characteristics. R packages like ggplot2 or dplyr can help students create compelling visualizations which will assist them in understanding data better while effectively communicating it to audiences. Students will develop essential skills necessary for effective data interpretation and presentation as they work through this project.

Predictive Modeling Project with Linear Regression:

Objectives: This project seeks to introduce students to predictive modeling using R, specifically linear regression.

Project Description: Provide students with a dataset containing variables they can use to predict a target variable. Have them split the data into training and test sets, perform data cleaning and preprocessing, build a simple linear regression model using R's lm() function for validation, visualization and interpretation, then interpret their results for interpretation by their instructor. This project should help students gain an understanding of predictive modeling and regression analyis.

 

Project Resources

Data Analytics with R Certification

Data Analytics with R Certification is an internationally-recognized credential that validates an individual's skills at using R programming language for data analysis, an important skill that has become in high demand across industries. Professionals looking to advance their careers need this credential as it validates their capabilities of extracting insights from data sets - this certification shows this competency and makes their skills even more marketable.

Data Analytics with R offers various certifications, such as R Certified Data Analyst (R-CDA) or R Certified Data Scientist (R-CDS). To select an appropriate certification, take into account your career goals as well as areas within data science that match with your expertise and interests.

Prerequisites for Data Analytics with R Certification exams will depend on which certification you choose, but in general there are no strict prerequisites; having a foundational understanding of R programming and data analysis concepts may prove valuable. Check with each certification you're interested in to find out exactly what requirements there are to pass their exam.

To prepare for Data Analytics with R Certification exams, consider enrolling in training programs or using official study materials provided by the certification body. Such resources cover each exam topic thoroughly and typically offer practice exams as well. Self-study through R documentation, books, online courses, or practice projects is also beneficial; creating a study plan, allocating enough study time regularly and gaining hands-on experience are keys to succeeding at these exams.

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Faq’s for Data Analytics with R

ZX Academy's Data Analytics with R course equips professionals with the skills needed to use R programming language for data analysis, making them highly sought-after skills across many industries.

ZX Academy provides courses that cater to beginners as well as more experienced data analysts, covering topics like data cleaning, visualization, statistical analysis and predictive modeling using R.

Yes, ZX Academy's Data Analytics with R courses are designed to accommodate individuals of varying degrees of experience - including those without prior data analytics or programming knowledge.

Graduates of ZX Academy's Data Analytics with R courses can pursue careers as data analysts, data scientists, business analysts, and more across multiple industries.

Course duration depends on the specific course and your preferred pace. Some can be completed quickly in as little as one or two weeks while more comprehensive ones could last multiple months.

ZX Academy provides both in-person and online training options to meet the individual needs and preferences of its students.

Prerequisites can differ depending on the course, with beginner-level classes often not having any prerequisites and more advanced ones requiring knowledge of statistics or programming.

Yes, ZX Academy courses provide exam preparation materials and practice exams to help prepare students for relevant certification exams.

Certifications from ZX Academy are highly respected, as completion of its courses demonstrate your practical data analytics with R skills - making you more attractive candidates in the job market.

Start today by visiting ZX Academy's website and selecting a Data Analytics with R course that best meets your needs, then follow their enrollment procedure to embark on your journey toward mastery of data analytics with R.

Reviews

Data Analytics with R rated (5.0 / 5) based on 4 reviews.

Anusha

5
Excellent online training institute.clear and in depth concepts in Data Analytics, real time examples.

madhavi

5
Excellent Alteryx Certification Training by Zx Academy. Their training is very good which enables to anywhere and anytime access. Really nicely organised tutorials. Thanks Zx Academy.

Anusha

5
Excellent online training institute.clear and in depth concepts in Data Analytics, real time examples.

Bharathi

5
It was a very good experience to learn the Data Analytics with R Training from Zx Academy. Faculty members are very knowledgeable and cooperative. Thank you Zx Acadamy

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