Amid the data-driven revolution, where insights fuel triumph, the call for skilled Data Scientists echoes louder than ever.Unlock Your Analytical Potential with Softlogic’s Data Science with R Training in Chennai. Immerse in Data Analytics, Machine Learning, Data visualization, and Big Data through our Data Science with R Training. Carve Your Journey to Analytical Excellence!
Data Science with R Training in Chennai
DURATION
2 Months
Mode
Live Online / Offline
EMI
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Let's take the first step to becoming an expert in Data Science with R
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What this Course Includes?
- Technology Training
- Aptitude Training
- Learn to Code (Codeathon)
- Real Time Projects
- Learn to Crack Interviews
- Panel Mock Interview
- Unlimited Interviews
- Life Long Placement Support
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Course Schedules
Course Syllabus
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What Modes of Training are available for Data Science with R?
Offline / Classroom Training
- Direct Interaction with the Trainer
- Clarify doubts then and there
- Airconditioned Premium Classrooms and Lab with all amenities
- Codeathon Practices
- Direct Aptitude Training
- Live Interview Skills Training
- Direct Panel Mock Interviews
- Campus Drives
- 100% Placement Support
Online Training
- No Recorded Sessions
- Live Virtual Interaction with the Trainer
- Clarify doubts then and there virtually
- Live Virtual Interview Skills Training
- Live Virtual Aptitude Training
- Online Panel Mock Interviews
- 100% Placement Support
Corporate Training
- Industry endorsed Skilled Faculties
- Flexible Pricing Options
- Customized Syllabus
- 12X6 Assistance and Support
Highlights of The Data Science with R Course
What is Data Science with R?
1.
Data Science with R is a field that involves using the R programming language for various stages of the data science process, including data manipulation, visualization, statistical analysis, machine learning, and more. R is a powerful and widely-used programming language and environment specifically designed for statistical computing, data analysis, and graphical representation.
What are the reasons to learn Data Science with R?
2.
Learning Data Science with R offers several compelling reasons due to the unique advantages it provides:
- Statistical Power:R simplifies complex analyses and hypothesis testing.
- Visual Excellence: R creates customizable and compelling data visualizations.
- Active Community: R offers a vibrant community for support and knowledge sharing.
- Machine Learning: R provides diverse packages for predictive modeling.
- Reproducibility: R scripts ensure transparent and replicable analyses.
What are the prerequisites to learn Data Science with R?
3.
Our Data Science with R Training doesn’t require strict prerequisites, but a basic understanding of data concepts and programming can help.
Our Python and R course is suitable for individuals of all backgrounds,
- Students
- Professionals looking to switch to a data science career with R.
- IT specialists wanting to enhance their data science skills with R.
- Enthusiasts curious about using R for data analysis.
- Job seekers aiming to boost their opportunities in data-focused roles.
What are the course fees and duration?
4.
The fees for our R Data Science Course may vary depending on the program level (basic, intermediate, or advanced) and the course format (online or in-person). On average, R Data Science Course Fees is affordable and lasts for 2 Months including international certification. For precise and up-to-date information on fees, duration, and certification, please contact our Data Science with R Training in Chennai directly.
What are the jobs related to Data Science with R?
5.
Data Science with R opens doors to a range of exciting job opportunities across various industries. Here are some job roles directly related to Data Science using R:
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- Business Intelligence Analyst
- Healthcare Data Analyst
- Bioinformatics Specialist
List a few Data Science with R real-time applications?
6.
Data Science with R finds real-time applications in various industries, transforming data into actionable insights. Here are some notable examples:
- E-Commerce Personalization: Amazon’s Recommendations
- Finance and Fraud Detection: PayPal’s Fraud Analytics
- Healthcare Diagnosis: Mayo Clinic’s Diagnostics Assistant
- Manufacturing Quality Control: Tesla’s Sensor Analysis
- Social Media Sentiment Analysis: Twitter’s Sentiment Analyzer
- Online Advertising Optimization: Google’s Ad Bidding with R
Why should I attend Softlogic’s R Data Science Course?
7.
Softlogic offers a comprehensive and industry-focused R Course for Data Analysis equipping individuals with the skills and expertise required to excel in the field of Data Science. By choosing Softlogic, you can ensure top-notch R Data Analysis Course with the following benefits:
- 100+ Real time trainers
- Fully hands-on training
- Technology Training
- Aptitude Training
- Learn to Code
- Real Time Projects
- Learn to Crack Interviews
- Panel Mock Interviews
- Unlimited Interviews
- Life Long Placement Support
- 60+ hours course duration
- Industry expert faculties
- Completed 1500+ batches
- 100% job oriented training
- Certification Guidance
- Own course materials
- Resume editing
- Affordable fees structure
Who are our Trainers for The Data Science with R Course?
Our Mentors are from Top Companies like:
- Our trainers are highly skilled and have 10+ years of extensive experience working with the software and offering certified training in Data Science and R programming.
- They are specialized in helping students develop faster, more flexible, and reliable skill sets.
- They are well-versed in the entire Data Science and R programming suite including data visualization and exploration, data cleansing, data analysis and predictive modelling.
- They have conducted numerous workshops introducing the complexities of Data Science and R programming and providing a comprehensive overview of the product.
- They provide in-depth knowledge of Algorithms and Big data tools like Hadoop, Apache Spark and NoSQL Databases.
- They provide accurate guidance for visualization and simulation for real-time application development and high-performance computation.
- They have developed a wide range of technical problem-solving skills suitable for various business environments and are well-known for their ability to improvise and develop innovative solutions to difficult problems.
- They are adept at rapidly assimilating new technologies, understanding and developing complex modules of analytics and excel in both theory and practical programming.
- They have the ability to work with teams of students or individually and have the skills to effectively train groups of any size.
- With their experience and capabilities, they are responsible for successfully imparting the necessary skills to students and making them get placed.
Certifications
Improve your abilities to get access to rewarding possibilities
Earn Your Certificate of Completion
Take Your Career to the Next Level with an IBM Certification
Stand Out from the Crowd with Codethon Certificate
Project Practices for The Data Science with R Course
Market Segmentation in R
Using clustering techniques to categorize a market based on demographics, behavior, or psychographics.
Customer Lifetime Value Optimization in R
Maximizing customer lifetime value through optimized marketing strategies using R.
Anomaly Detection with R
Developing a model in R to identify unusual patterns or outliers in data, such as fraud or network intrusions.
Smart Home Automation with R
Creating an R-based system to automate and control smart home devices using sensor data and user preferences.
Credit Scoring in R
Building a model to assess creditworthiness using financial and demographic data.
Disease Diagnosis in R
Building a model to predict and diagnose specific diseases using medical data and patient information.
Natural Language Generation in R
Building an R-based system that generates human-like text, such as automated report generation.
Human Activity Recognition in R
Building an R-based system to classify human activities using sensor data from wearables or IoT devices.
A/B Testing in R
Analyzing experiments with product or website versions to understand user behavior.
The SLA way to Become
a Data Science with R Expert
Enrollment
Technology Training
Realtime Projects
Placement Training
Interview Skills
Panel Mock
Interview
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Placement Support for a Data Science with R Job
Genuine Placements. No Backdoor Jobs at Softlogic Systems.
Free 100% Placement Support
Aptitude Training
from Day 1
Interview Skills
from Day 1
Softskills Training
from Day 1
Build Your Resume
Build your LinkedIn Profile
Build your GitHub
digital portfolio
Panel Mock Interview
Unlimited Interviews until you get placed
Life Long Placement Support at no cost
FAQs for
The Data Science with R Course
What kind of data manipulation can be done using R?
1.
The data manipulation tasks that can be done using R include filtering data, calculating summaries, sorting data, reshaping data, adding/removing columns, and creating new variables.
How is R different from other programming languages?
2.
The main difference between R and other language is its emphasis on data manipulation; R is tailored to help scientists, statisticians, and mathematicians answer questions about their data. It also provides a powerful programming language that can be used for general and specialized tasks, as well as a comprehensive suite of user-friendly graphical tools for all kinds of data analysis.
What is the main purpose of using R programming language?
3.
The main purpose of R programming language is to provide a comprehensive environment for statistical computing and graphics. With its vast selection of packages and data resources, this language allows the user to explore a range of statistical and graphical techniques and to produce quality visualisations.
What is the “RStudio” platform in relation to R?
4.
RStudio is an integrated development environment (IDE) for R. It provides a graphical user interface to run R and explore its features. It also offers editing and organizing capabilities, debugging tools, and optimization of code.
How does R compare to other big data analytics tools?
5.
R is able to handle large amounts of data and provides a comprehensive suite of graphical and statistical analytics tools. Additionally, R is open-source and is highly flexible – allowing users to customize their analyses and integrate the language with other software.
What libraries/packages do I need to install to use R?
6.
Different tasks will require different libraries/packages. Some of the most common packages used in R are dplyr, ggplot2, tidyr, reshape2, stringr, and plyr.
What are the job opportunities available after completing the Data Science with R Programming training?
7.
After completing the Data Science with R programming training, you may be eligible for a variety of jobs such as data analyst, data engineer, data scientist, and business intelligence specialist.
What kind of projects will I complete as part of the training?
8.
In this course, you will work on a range of data science projects such as exploratory data analysis, data wrangling, data visualization, machine learning algorithms, and generative modeling.
Is this training suitable for beginners?
9.
Yes, this course is suitable for beginners who wish to learn the basics of data science with R programming.
Does Softlogic provide any placement support after the training?
10.
Yes, Softlogic provides consulting and placement services to help you find a job after the training is completed.