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Data Analytics with R Programming Certification Training

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Elevate your career with Data Analytics with R Training at Multisoft Virtual Academy. Learn from industry experts to utilize R for effective data analysis and visualization. Gain hands-on experience through real-world projects and datasets. Enhance your analytical skills for better decision-making. Secure your spot in our next session!

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01 Feb 2025	24	06:00 PM - 09:00 PM	Sat, Sun
02 Feb 2025	24	06:00 PM - 09:00 PM	Sat, Sun
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09 Feb 2025	24	06:00 PM - 09:00 PM	Sat, Sun

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02 Feb 2025	24	06:00 PM - 09:00 PM	Sat, Sun
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Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

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Course Highlights

Duration: 24 Hrs
Subject Matter Expert
After Training Support
Lifetime E-Learning Access
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Free Online Assessments

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Data Analytics with R Training Course Syllabus

Curriculum Designed by Experts

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Multisoft Virtual Academy's Data Analytics with R Training is designed to equip professionals with the skills necessary to excel in the rapidly evolving field of data analytics. This comprehensive course covers everything from basic statistical concepts to advanced data manipulation and visualization techniques using the R programming language. Participants will delve into key areas such as hypothesis testing, regression analysis, and predictive modeling, enabling them to extract meaningful insights from complex datasets. The curriculum is structured around hands-on sessions and real-world case studies, ensuring that learners can apply their knowledge effectively in practical scenarios. Throughout the course, expert instructors with extensive industry experience provide personalized guidance and support, helping participants to overcome challenges and enhance their learning. Upon completion of the course, participants will be proficient in using R for data analysis tasks, capable of handling large datasets, and adept at visualizing data in ways that inform strategic decision-making. Whether you are a beginner aiming to enter the field of data analytics or a seasoned professional looking to upgrade your skills, this training will prepare you to leverage the full potential of R in your career. Enroll in Multisoft Virtual Academy’s Data Analytics with R Training to transform data into actionable insights and drive business growth.

Data Analytics with R training is a specialized course designed to teach participants how to perform advanced data analysis using the R programming language. This training covers data manipulation, statistical analysis, predictive modeling, and data visualization techniques. Aimed at equipping professionals with the skills to extract insights from data, the course emphasizes practical applications in real-world scenarios, making it ideal for those looking to enhance their analytical capabilities in various industries.

Introduction to terms Business Intelligence, Business Analytics, Data, Information
How information hierarchy can be improved/introduced
Understanding Business Analytics and R
Knowledge about the R language, its community, and its 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 the 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

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Various kinds of data types in R and their appropriate uses
Built-in functions in R like seq(), cbind (), rbind(), merge()
Knowledge of the various subsetting methods
Summarize data by using functions like: str(), class(), length(), nrow(), ncol()
Use of functions like head(), tail() for inspecting data
Indulge in a class activity to summarize data
dplyr package to perform SQL join in R

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Steps involved in Data Cleaning
Functions used in Data Inspection
Tackling the problems faced during Data Cleaning
Uses of the functions like grepl(), grep(), sub(), Coerce the data, uses of the apply() functions

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Import data from spreadsheets and text files into R
Import data from other statistical formats like sas7bdat and spss, packages
Installation used for database import
Connect to RDBMS from R using ODBC
Basic SQL queries in R
Basics of Web Scraping

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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
Fancy plots like the Segment plot, and HC plot in R

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Data Visualization
Graphical functions present in R
Plot various graphs like tableplot, histogram, and Boxplot
Customizing Graphical Parameters to improvise plots
Understanding GUIs like Deducer and R Commander
Introduction to Spatial Analysis

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Introduction to Data Mining
Understanding Machine Learning
Supervised and Unsupervised Machine Learning Algorithms
K-means Clustering

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Association Rule Mining
User Based Collaborative Filtering (UBCF)
Item Based Collaborative Filtering (IBCF)

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Linear Regression
Logistic Regression

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Analysis of Variance (Anova) Technique
Sentiment Analysis: fetch, extract and mine live data from Twitter

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Decision Tree
Entropy
Gini Index
Pruning and Information Gain
Algorithm for creating Decision Trees
Bagging of Regression and Classification Trees
Random Forest
Working on Random Forest
Features of Random Forest, among others

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Analyze census data to predict insights on the income of the people based on the factors like age, education, work class, and occupation using Decision Trees
Logistic Regression and Random Forest
Analyze the Sentiment of Twitter data, where the data to be analyzed is streamed live from Twitter, and sentiment analysis is performed on the same

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Data Analytics with R Training Description

Learn how to import, clean, and manipulate data using R to prepare it for analysis.
Gain a solid understanding of applying statistical methods for descriptive and inferential analysis in R.
Develop the ability to create informative and visually appealing data visualizations using R’s ggplot2 and other visualization libraries.
Explore basic predictive modeling techniques, including linear regression and time-series forecasting.
Apply R programming skills to real-world data sets, simulating scenarios that professionals face in the data analytics industry.
Enhance your analytical thinking by learning to approach data-related problems strategically and find effective solutions.
Learn to succinctly and effectively communicate statistical findings and data insights to stakeholders with varying levels of technical expertise.

Data Analysts
Business Analysts
Data Scientists
Marketing Analysts
Financial Analysts
Research Scientists
Statisticians
IT Professionals
Students in technical fields
Professionals looking to transition into data-centric roles

Familiarity with fundamental statistical concepts and methods.
Comfort with basic algebra and probability.
Proficiency in using computers and navigating software environments.

Data Analytics with R Training Certification

Multisoft Virtual Academy provides a globally recognized training certificate to the participants, after successful completion of a training program. The training certificates are recognized and accepted across the world.

Multisoft Virtual Academy's training certificate comes with lifetime validity.

Aspirants can directly enroll for the desired course from the Book Now Button in the course page. You can also connect on Whatsapp at +91 8130666206 to talk with a training advisor. Multisoft Virtual Academy also offers customized training programs on a wide range of domains and skills.

All training programs offered by Multisoft Virtual Academy are delivered by certified industry experts, who have years of experience in the relevant domains. Multisoft Global Subject Matter Experts impart knowledge on a wide variety of training courses through one –on-one and corporate training sessions.

Multisoft Virtual Academy training certification can help participants stand out in the competitive job market. Since the training certificates are internationally accepted, participants can showcase their skills and knowledge to employers across the world.

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Lifetime E-learning Access
Recorded Training Session Videos
Free Access to Practice Tests

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After Training Support

Hands on Experience

Project Based Learning
Learning based on real-life examples
Assignments and Practice Tests

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Data Analytics with R Training FAQ's

Yes, participants will receive a certification from Multisoft Virtual Academy upon successful completion of the course, which can enhance your professional credibility.

You will work on real-world projects that simulate challenges faced by data professionals, covering diverse industries to give you hands-on experience.

Yes, course instructors are available to provide support and answer questions through various platforms.

Yes, access to course materials is available for lifetime, allowing you to review and practice at your own pace.

To contact Multisoft Virtual Academy you can mail us on enquiry@multisoftvirtualacademy.com or can call for course enquiry on this number +91 8130666206

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Data Analytics with R Programming Certification Training

Start Date	No. of Hrs	Time (IST)	Day	Price
01 Feb 2025	24	06:00 PM - 09:00 PM	Sat, Sun	$ 550
02 Feb 2025	24	06:00 PM - 09:00 PM	Sat, Sun	$ 550
08 Feb 2025	24	06:00 PM - 09:00 PM	Sat, Sun	$ 550
09 Feb 2025	24	06:00 PM - 09:00 PM	Sat, Sun	$ 550

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Data Analytics with R Programming Certification Training

Ready to Up-Skill yourself !

Instructor-led Training Live Online Classes

Suitable batches for you

$ 550

Talk to our training advisor

Instructor-led Training Live Online Classes

Online Classroom Training

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Self-Paced Learning

$ 550

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Course Highlights

Curriculum Designed by Experts

Data Analytics with R Training Course Overview

Module 1: Introduction to Data Analytics

Module 2: Introduction to R Programming

Module 3: Data Manipulation in R

Module 4: Data Import Techniques in R

Module 5: Exploratory Data Analysis

Module 6: Data Visualization in R

Module 7: Data Mining: Clustering Techniques

Module 8: Data Mining: Association Rule Mining & Collaborative filtering

Module 9: Linear and Logistic Regression

Module 10: Anova and Sentiment Analysis

Module 11: Data Mining: Decision Trees and Random Forest

Module 12: Project Work

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Data Analytics with R Training Description

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Data Analytics with R Training Certification

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Data Analytics with R Corporate Training Certification

Interactive Virtual Training

Lifetime Access

24x7 Assistance

Hands on Experience

Globally Recognized Certificate

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Data Analytics with R Training FAQ's

1. Is there a certification at the end of the course?

2. What kind of projects will I work on during the training?

3. Is there support available outside of class hours?

4. Can I access course materials after completion?

5. How to contact Multisoft Virtual Academy for further details?

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Data Analytics with R