Data Science With R Programming
Sambodhi and Education Nest certificate program offers a complete and in-depth introduction to the fundamentals of R, such as data types, manipulation techniques, and the implementation of basic programming tasks. This course aims to equip you with a solid understanding of the standard data structures, programming basics, and data manipulation techniques using the R programming language. For individuals seeking practical job-oriented skills on a leading open-source Data Science platform but do not have a programming background, Sambodhi offers the top R training in Delhi NCR and Noida. Our Data Science R course is designed to equip learners with the necessary skills and knowledge to excel in the field, and is offered through live online instruction or self-paced video-based learning. If you are pursuing a career in data science, it is essential to acquaint yourself with the R programming language and its crucial role in data analysis.
Application Deadline: May 31st, 2023
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The Data Science using R Programming course is designed to provide learners with the skills and knowledge necessary to analyze data, build statistical models, and make data-driven decisions using the R programming language. The course covers key topics such as data wrangling, data visualization, hypothesis testing, regression analysis, and machine learning. Through hands-on exercises and real-world examples, learners will gain practical experience working with data sets, building models, and interpreting results. Upon completion of the course, learners will be equipped with the tools and techniques needed to solve complex data science problems using R.
- 60 days of free Cloud Lab access worth ₹4000
- Live Online Classes starting on 15th Apr 2023
4.5
Instructor-led Data Science With R Programming live online Training Schedule
May 15th – Weekend
SAT & SUN (5 Weeks) 08:30 PM to 11:30 PM (IST)
July 1st – Weekend
SAT & SUN (5 Weeks) 11:00 AM to 01:00 PM (IST)
Why enroll for Data Science With R Programming Certificate Training Course?
R programming is becoming popular for data analysis, with surveys showing it as the 2nd most popular language for data scientists. Job postings requiring R programming skills have increased.
R is widely used by data scientists in industries such as healthcare, finance, marketing, retail, social media, education, manufacturing, and government due to its flexibility, strong data and active user community.
According to data from salary tracking websites, Entry-level R programmers earn $70k/year on average, increasing to $100k/year with experience.
Data Science With R Programming Training Course Benefits
According to the US Bureau of Labour Statistics, employment in the field of data science, is projected to grow by 31% from 2019 to 2029, which is much faster than the average for all occupations. In Addition a report by IBM predicts that the number of jobs in data science and analytics will grow by 15% to 2.7 million in the United States alone by 2020. Therefore, it is an opportune time to pursue a career in data science. Sambodhi offers a comprehensive Data Science with R training course, designed to teach learners the foundational concepts from scratch and equip them with the tools necessary to launch their career in this field.
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Why Data Science With R Programming Certificate Training Course from Education Nest
Live Interactive Learning
- World-Class Instructors
- Expert-Led Mentoring Sessions
- Instant doubt clearing
Lifetime Access
- Course Access Never Expires
- Free Access to Future Updates
- Unlimited Access to Course Content
24x7 Support
- One-On-One Learning Assistance
- Help Desk Support
- Resolve Doubts in Real-time
Hands-On Project Based Learning
- Industry-Relevant Projects
- Course Demo Dataset & Files
- Quizzes & Assignments
- 1 Year subscription to LMS
Industry Recognised Certification
- Sambodhi & Education Nest Training Certificate
- Graded Performance Certificate
- Certificate of Completion
Scholarship And Fees
- Upto 50% Scholarship
- Availability of EMI payment
- International Payment options
Data Science With R Programming Skills Covered
- Data Mining & Analysis
- R Programming
- Data Extraction and Wrangling
- Statistical Foundations
- Data Science Methods
- Supervised/Unsupervised Machine Learning Models
Data Science With R Programming Training Course Syllabus
- What is Data Science?
- Business Intelligence vs Data Science
- Data Science Overview
- Tools of Data Science
- Introduction to R Programming
- Math, Variables and Strings
- R Environment
- Introduction to R Studio
- Introduction to Machine Learning
- Vectors and Factors
- Vector Operations
- Lists
- Arrays and Matrices
- Data Frames
- Conditions and Loops
- Functions in R
- String Operations in R
- Regular Expressions
- Date Format in R
- Statistical Inference
- Terminologies of Statistics
- Measures of Centers
- Measures of Spread
- Probability
- Normal Distribution
- Binary Distribution
- Data Analysis Pipeline
- What is Data Extraction
- Types of Data
- Raw and Processed Data
- Data Wrangling
- Data Analysis
- Data Visualization
- Fundamentals of Machine Learning?
- Data Preprocessing
- Regression
- Classification
- Clustering
- Machine Learning Process Flow
- Machine Learning Categories
- Supervised Learning algorithm: Linear Regression and Logistic Regression
- What are classification and its use cases?
- What is Decision Tree?
- Algorithm for Decision Tree Induction
- Creating a Perfect Decision Tree
- Confusion Matrix
- What is Random Forest?
- What is Naive Bayes?
- Support Vector Machine: Classification
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Why Enroll for “Data Science With R Programming”
- Duration: 40 hours
- Level of effort: 4 hours per day
- Modality: Online with live classroom sessions and groups assignments
- Limited & partial scholarships available for candidates based on merit
- Discounts on course fees in case of institutional sponsorship, group enrolments, and for participants from grassroots organisations
- Training by corporate professionals and experts with 10+ years of experience in Data Science with Python training industry
- Language: English
- Requirements: access to laptop and internet
- Industry-relevant curriculum designed by industry experts
- 40 hours of instructor-led live virtual training on weekends
- 1-year subscription to enterprise-grade Learning Management System (LMS)
- Globally accredited recognition for students
- Availability of scholarships and EMI payment options
- Training on weekends to cater to working professionals
- Last date for application: 31st May
- Commence date: TBA
Data Science With R Programming Training Projects
Industry : IT
Data Science with R Programming projects for the IT industry include developing recommendation systems, fraud detection models, sentiment analysis of customer reviews, predictive maintenance of equipment, and analyzing customer behavior to optimize marketing campaigns. These projects involve utilizing various machine learning algorithms, statistical analysis, and data visualization techniques to extract insights from data. The IT industry heavily relies on data to make informed decisions, and the skills gained from these projects can help professionals improve their ability to analyze data and make data-driven decisions.
Industry : Retail
The retail industry is one of the industries that heavily rely on data analytics to make strategic decisions. Data Science with R Programming can be useful in retail to analyze customer behavior, forecast demand, and optimize pricing strategies. Projects in retail can include predicting customer churn, identifying customer segmentation, and recommending products based on purchase history. These projects can help retailers gain insights into consumer behavior and preferences, improve customer retention rates, and ultimately increase sales revenue. With R Programming, retail businesses can analyze large volumes of data quickly and efficiently to make data-driven decisions.
Data Science With R Programming Training Description
The Data Science with R Programming course is designed to equip learners with the necessary skills and knowledge to become proficient in data analysis using the R programming language. The course covers a wide range of topics, including data visualization, statistical analysis, machine learning, and data manipulation. Participants will learn how to use R to handle and analyze data, build predictive models, and create data visualizations. The course includes hands-on exercises and real-world projects that provide learners with the practical experience needed to succeed in a data science career. Upon completion of the course, participants will be able to leverage R to perform complex data analyses and gain valuable insights from their data.
Here are the main objectives of the Data Science with R Programming course:
- Understanding the fundamentals of data science and its applications in various industries.
- Learning how to use R programming for data cleaning, manipulation, visualization, and analysis.
- Exploring statistical concepts such as probability, regression analysis, hypothesis testing, and machine learning algorithms.
- Applying data science techniques to solve real-world business problems and create data-driven insights.
- Building a portfolio of projects that demonstrate proficiency in data science with R programming.
- Developing practical skills and knowledge that can be applied in a professional setting or further education in the field of data science.
Here are some reasons why learning Data Science with R Programming can be beneficial:
Growing Demand: R programming is widely used in data science and analytics, and the demand for professionals skilled in R is increasing across industries.
Versatility: R is a versatile language that can be used for data cleaning, data analysis, visualization, and machine learning.
Open-Source: R is an open-source language, which means that it is free to use and has a large community of users who contribute to its development.
Popular Tools: R has many popular tools and packages for data analysis, such as ggplot2, dplyr, and tidyr.
Career Opportunities: Learning R programming can lead to many career opportunities, such as data analyst, data scientist, and machine learning engineer.
Hands-On Learning: Data Science with R Programming courses often include hands-on projects and exercises, allowing learners to gain practical experience with real-world data sets.
Data Science with R Programming course is ideal for individuals who work with data in any capacity, such as:
- Freshers
- Data Analysts
- Data Scientists
- Researchers Strategists
- Business professionals
- Data Professionals
Overall, anyone who works with data, whether for personal or professional purposes, can benefit from Data Science with R Programming.
The pre-requisites for the Data Science with R Programming course may vary depending on the specific course. However, some common pre-requisites may include a basic understanding of programming concepts, statistics, and mathematics. Some courses may also require prior knowledge of R programming language. It’s recommended to check the course description and requirements before enrolling in the program to ensure that you meet the necessary pre-requisites.
Other Courses offered by Sambodhi and Education Nest for Data Science is:
- Python – Python is a high-level programming language with dynamic semantics and clean syntax, used for various applications.
- SAS – It is a statistical software suite widely used for data management, business intelligence, and predictive analytics.
- MATLAB – It is a programming language used for numerical computing, data analysis, and machine learning.
- Apache Spark – It is an open-source distributed computing system used for big data processing and machine learning.
- Tableau – It is a data visualization tool used for creating interactive dashboards and visualizations.
- Excel – It is a popular spreadsheet program that can be used for basic data analysis and visualization.
Each of this software has its own unique features and strengths, and the choice of software depends on the specific needs and requirements of the project.
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Data Science With R Programming Training FAQs
In case you miss an online Data Science with R Programming class, it is advisable to contact the instructor or the support team of the online training platform. They may provide you with a recording or transcript of the missed class. Alternatively, some platforms offer on-demand access to class materials. Catching up on the missed material as soon as possible is recommended to avoid falling behind in your learning.
After completing an online Data Science with R Programming course, Education Nest provides post-course support options, such as a dedicated support team, community forum for networking, and one-on-one sessions with instructors. Learners can also reach out to the instructor directly or use the platform’s support channels for specific questions related to course material. Clarifying doubts and questions helps to solidify understanding and apply concepts in the real world.
Data Science with R Programming refers to the use of the R programming language and its associated tools and techniques for conducting data analysis, statistical modeling, and predictive analytics. Data science with R programming involves a variety of tasks such as data cleaning, data manipulation, data visualization, statistical analysis, and machine learning. It is widely used in various industries, including finance, healthcare, e-commerce, and social media. By learning Data Science with R Programming, individuals can develop skills to extract insights from data and make data-driven decisions.
The timing of when you get access to learning content after signing up for an online Data Science With R Programming course will depend on the specific training platform you are using.
In most cases, you should receive access to the learning content immediately upon signing up, or shortly after your payment has been processed. Some platforms may require you to complete an enrolment process or set up an account before you can access the content.
It’s always a good idea to check the specific details of the course or platform you are using, as the timing and process may vary. If you are experiencing any issues accessing the learning content, you should contact the support team of the training platform for assistance.
Once you enrol in a Data Science With R Programming Training course, you will typically have access to the course material for as long as the course remains available on the platform. This means that you can revisit the material at any time, even after you have completed the course, and continue to learn and improve your skills.
The benefit of lifetime access to the learning material is that it allows you to learn at your own pace and on your own schedule. You can review the content as many times as you need to fully understand the concepts and techniques covered in the course. Additionally, if you encounter a new challenge in your work or personal life, you can go back to the course material to find solutions and strategies to help you overcome the challenge.
Having access to course material for a lifetime is a valuable benefit, as it allows you to continue to improve your skills and knowledge long after you have completed the course. So, if you are interested in improving your R Programming skills and want the flexibility to learn at your own pace, consider enrolling in an Data Science With R Programming Training course that offers lifetime access to the learning material.
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