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Data Science with R Certification Course

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Embark on a data-driven journey with our Data Science with R Certification Course at Multisoft Virtual Academy. Expert-led, this course blends theoretical knowledge with practical skills, tailored to propel your expertise in analytics, data manipulation, and visualization with R. Enroll now to transform your career!

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Instructor-led Training Live Online Classes

Suitable batches for you

	19 Apr 2025	32	06:00 PM - 10:00 AM	Sat, Sun
	20 Apr 2025	32	06:00 PM - 10:00 AM	Sat, Sun

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$ 325

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Instructor-led Training Live Online Classes

	19 Apr 2025	32	06:00 PM - 10:00 AM	Sat, Sun
	20 Apr 2025	32	06:00 PM - 10:00 AM	Sat, Sun

Course Price At

$ 325

Enroll Now

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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.

Course Price At

$ 325

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Course Highlights

Duration: 32 Hrs.
Subject Matter Expert
After Training Support
Recorded Sessions
Lifetime e-Learning Access
Free Online Assessments

One to One Training

Data Science with R Training Course Syllabus

Curriculum Designed by Experts

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The Data Science with R Certification Course by Multisoft Virtual Academy is meticulously designed for aspiring data professionals seeking a deep dive into the world of data analysis and statistical computing using R. This course offers:

Comprehensive Curriculum: Covering the fundamentals of R programming, statistical concepts, and data manipulation techniques. Understand the nuances of data exploration, visualization, and making data-driven decisions.
Hands-On Learning: Engage with practical exercises, real-world case studies, and projects that reinforce theoretical knowledge and provide practical experience in solving data science problems.
Expert Instruction: Learn from industry-experienced instructors who bring a wealth of knowledge and insights from the field of data science, ensuring an enriching learning experience.
Skill Development: Gain proficiency in using R for data cleaning, analysis, machine learning algorithms, and predictive modeling. Learn to handle large datasets and extract meaningful insights.
Certification: On successful completion, receive a widely recognized certification from Multisoft Virtual Academy, attesting to your skills and knowledge in data science with R.
Career Advancement: This course prepares you for roles such as Data Analyst, Data Scientist, and Statistical Analyst, providing a strong foundation to advance your career in the booming field of data science.

The training offered by Multisoft Virtual Academy on Data Science with R help students acquire advanced proficiency in applying database development and software skills to support a variety of analytics applications. The candidate will be able to explore R language fundamentals, including basic syntax, variables, and types, create functions and use control flow, work with data in R.

Students will learn data collection and preparation methodologies, including identifying most relevant data sources and preparing data for analytics. After the completion of this training, the participants will gain an in-depth understanding of the best modeling and data analytics techniques.

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Exploratory Data Analysis
Data Collection and Curation
Data Visualization

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Introduction to R
Data Manipulation and Visualization with R
Data Pre-Processing with R

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Creating Business Value using Data Mining for Actionable Insights
Association Rules and Collaborative Filtering

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Regression Analysis: Estimating Relationships
Multiple Regression
ANOVA and Experimental Design

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Implementing Predictive Analytics Models for Industry Use Cases
Implementing Machine Leraning Models for Industry Use Cases

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Introduction to Big Data
Machine Learning in Spark

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Managing Impactful Analytics Projects for Internal Clients
Best in Class Project Management to Delight your External Clients
Successful Project Outsourcing

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Advanced Visualization
Storytelling with Data

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Career Advancement and Growth

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This course covers R programming fundamentals, data visualization, statistical analysis, predictive modeling, and machine learning techniques. Participants will learn data preprocessing, hypothesis testing, clustering, and time-series analysis. Hands-on projects and real-world datasets enable learners to master R for data science, preparing them for industry-relevant roles.

Overview of Data Science
Introduction to R Programming
Setting up the R Environment
R Studio Interface and Features
Data Types and Structures in R
Basics of R Syntax, Variables, and Operators

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Importing and Exporting Data
Data Cleaning and Preparation
Working with Data Frames, Matrices, and Lists
Handling Missing Data
Data Transformation using dplyr
String Manipulations with stringr

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Introduction to Data Visualization
Basic Plots in R: Bar Chart, Histogram, Pie Chart
Advanced Visualization using ggplot2
Creating Interactive Visualizations

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Descriptive Statistics: Mean, Median, Mode
Inferential Statistics: Hypothesis Testing, t-Tests, ANOVA
Correlation and Regression Analysis
Probability Distributions
Time Series Analysis Basics

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Introduction to Machine Learning Concepts
Supervised Learning Algorithms:
- Linear Regression
- Logistic Regression
- Decision Trees
- Random Forest
Unsupervised Learning Algorithms:
- Clustering (K-Means, Hierarchical)
- Dimensionality Reduction (PCA)
Model Evaluation Techniques

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Basics of Text Mining
Sentiment Analysis
Tokenization and Stemming
Word Cloud Generation
NLP using R Libraries (tm, text2vec)

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Time Series Basics and Components
ARIMA Model
Forecasting Techniques
Visualizing Time Series Data

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Introduction to Big Data Technologies
Using R with Hadoop and Spark
Data Processing with R and HDFS
Hands-on with R-H2O for Machine Learning

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End-to-End Data Science Project Using R
Data Collection, Cleaning, and Exploration
Visualization and Statistical Analysis
Model Building, Evaluation, and Deployment
Real-World Use Cases and Industry Applications

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Review of Key Concepts
Practice Questions and Mock Tests
Exam Tips and Strategies
Certification Guidelines and Next Steps

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Data Science with R Training Description

Explore R data structures and syntaxes
Read and write data from a local file to a cloud-hosted database
Work with data, get summaries, and transform them to fit your needs
Explore R language fundamentals, including basic syntax, variables, and types
Create functions and use control flow
Read, write and work with data in R

Developers
Programmers
Technical Leads
Aspiring Machine Learning Engineers
Analytics Managers
Business Analysts
Information Architects
Professionals who want to learn designing automatic predictive models

Basic Understanding of Mathematics: A foundation in statistics, algebra, and calculus is beneficial as they are frequently used in data analysis.
Programming Knowledge: Familiarity with any programming language, especially R, is advantageous but not mandatory. If you're new to programming, starting with R basics will be recommended.
Analytical Mindset: An ability to think critically and problem-solve will be invaluable.
Knowledge of Databases: A basic understanding of how databases work, particularly relational databases, can be helpful.
Familiarity with Data Structures: Knowing about data types, lists, vectors, and matrices in R will be a plus.

Data Science 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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Data Science with R Corporate Training Certification

Interactive Virtual Training

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Step-by –Step Learning Approach
Instant Doubt Clearing

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

24x7 Assistance

Help Desk Support
Doubt Resolution in Real-time
After Training Support

Hands on Experience

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

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Multisoft Training Certificate
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Data Science with R Training FAQ's

Answer: Versatility in the field of statistics makes Data Science in R important for professionals. R project includes more than 20 leading computer scientists and statisticians and is used by more than 2 million people. In-depth knowledge of Data Science with R through training allows multiple calculations with vectors, running code without a compiler, use of statistical language and supports data science.

R is used in various industries and fields for information, graphical representation and reporting of statistics. It is very helpful for data scientists, statisticians and analysts for visualization, analysis and predictive modeling. Moreover, it offers numerical accuracy and standard of quality to users and developers. Training in Data Science with R is advantageous for graduates aspiring career in analytics in data science, professionals related to fields of data and business analysis, individuals interested in field of data science and software professionals thinking of diverting their career on the path of analytics.

Online training can be accessed anytime and anywhere with the help of internet access. Training service providers such as Multisoft Virtual Academy offer latest courseware that meets international standards. The course can be pursued and customized according to learner’s pace. Moreover, access to recorded video sessions, study material, and software allows revising and practicing to get a firm grip and in-depth knowledge of the course. Multisoft Virtual Academy provides assessments, mock tests and recorded sessions for online training in Data Science in R.

The timings of the course can be changed and decided as per the convenience of learner. Training is conducted on time, date and duration as told by the candidate.

32 hours of online training in Data Science with R includes topics such as Exploratory Data Analysis and Visualization, R for Data Science, Data Mining, Data Analysis for Evidence Based Decision Making, Industry Applications of Advanced Analytics Models, Big Data Analytics with Spark, Project Management in Analytics, Information to Insight, Career Management.

Multisoft Virtual Academy awards each of its learners with a training certificate after completing the course. This helps them to validate their skills and knowledge about the software.

We guarantee best quality education at the lowest price. Multisoft Virtual Academy has successfully completed training more than 2100 learners in Data Science with R. You may click here to read what our learners have to say about the training.

We offer corporate training more than 600 courses related to technical and non-technical industries. Our other courses that can be beneficial for professionals interested in or related to data analysis are Data Science online training, Data science with Python training, Big Data Analyst training and OCA 11g Database Admin Online training amongst many others.

The average salary of a data scientist is $102,000 per year. Professionals can expect a salary hike of up to 36% more than individuals with equivalent educational qualification and work experience.