R Programming Big Data
R Programming Big Data Course Online by Checkmate IT Tech offers a transformative journey, elevating your expertise and mastering essential skills. Position yourself for success in the dynamic field of Big Data by enrolling today. Unlock new career opportunities!
- 10+ Courses
- 30+ Projects
- 400 Hours
R Programming Big Data Training is suitable for the following target audiences:
Scientists and Data Analysts: Experts who wish to improve their knowledge of large data analysis and use R for machine learning and statistical modeling.
Researchers and statisticians: Those working in academia or business who need reliable tools to analyze big data and produce new insights.
Big Data Engineers: IT specialists looking to handle and visualize data by integrating R into big data ecosystems.
Business Intelligence Analysts: Business intelligence analysts are people who work to extract useful information from large datasets in order to aid in strategic decision-making.
Students and Scholars in Data Science: Researchers or aspiring data professionals seeking practical experience in big data analytics with R.
Scientist of Data: use R to analyze intricate datasets and create predictive models for sectors like technology, healthcare, and finance.
Big Data Analyst: Processing, evaluating, and visualizing data in large-scale settings, such as Hadoop and Spark, using R.
Statistical Analyst: Using R to apply statistical methods to business challenges and provide insights from large amounts of data.
Machine Learning Engineer: Using R to design and deploy machine learning models for practical use in large data and artificial intelligence projects.
Business Intelligence Consultant: Using R to analyze and visualize big data patterns, this professional helps companies make data-driven decisions.
Industries in the USA and Canada that offer competitive pay and opportunities for career advancement in the quickly growing field of data analytics, including banking, healthcare, retail, and technology, are actively seeking professionals with R programming skills for big data.
- Overview of R programming language
- Introduction to Big Data: Volume, Velocity, Variety
- Setting up the R environment (RStudio, packages)
- Basic data manipulation with dplyr and tidyr
- Case Study: Exploring a large CSV dataset
- Advanced functions in dplyr, data.table, and stringr
- Handling missing data and data cleaning at scale
- Efficient data reading with fread() and readr
- Memory management and performance optimization in R
- Challenges of Big Data in R
- Strategies: chunk processing, parallelism
- Using bigmemory, ff, and data.table for large datasets
- Benchmarking data processing performance
- Hands On Work: Compare processing time for large datasets using different R methods
- Overview of Hadoop and Spark architecture
- Introduction to rhdfs and rmr2 for Hadoop integration
- Using SparkR and sparklyr to run Spark jobs from R
- Connecting R to HDFS
- Hands-on: Run a simple Spark job in R using sparklyr
- DataFrames in SparkR vs. dplyr
- Applying mutate, group_by, and summarise on distributed datasets
- Working with structured and semi-structured data (e.g., JSON, Parquet)
- Case Study: Retail transaction analysis with SparkR
- Scalable machine learning with sparklyr MLlib
- Linear regression, classification, and clustering at scale
- Model evaluation and cross-validation in distributed settings
- Assignment: Predictive modeling on a large dataset using SparkR
- Big data visualization techniques in R (ggplot2, plotly, sparklyr)
- Using dashboards (flexdashboard, shiny) for large datasets
- Dynamic reporting with RMarkdown
- Hands On : Build a dashboard for monitoring large-scale data trends
- Final project: End-to-end analysis of a big dataset using R + Spark and presentation
- Final review of key concepts and tools
- Career tips: Using R in data engineering and analytics roles
Note: Curriculum will be modified according to the latest industry standards
This training focuses on using R programming for analyzing and processing large-scale data, including data manipulation, visualization and integration with Big Data tools.
Basic programming knowledge is helpful, but the course is designed to accommodate beginners and intermediate learners as well.
The course includes hands-on work with tools like Hadoop, Spark, and R packages such as sparklyr, dplyr, and data.table.
Yes, you’ll learn how to create powerful visualizations using packages like ggplot2, even with large datasets.
Absolutely. It’s ideal for aspiring data analysts, data scientists, and professionals working with large datasets.
Yes, all participants receive downloadable materials and lecture recordings for practice.
The training is highly practical, with real-world exercises, coding sessions, and project-based learning.
You can enroll via our website or contact our support team directly via email or phone. We’ll guide you through the quick and easy registration process.
https://checkmateittech.com/
Email info@checkmateittech.com OR Call Us +1-347-4082054
Yes, a certificate of completion is provided to all participants who finish the course.
The course is available in online format only, depending on your availability and time.
You’ll have access to instructor support, a student discussion forum, and live Q&A sessions during the course.
We currently offer online sessions with flexible weekday/weekend batches. All sessions are recorded. You’ll have access to the recordings, along with support from instructors and peers in our learning portal.
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Job opportunities in USA and Canada
Scientist of Data: use R to analyze intricate datasets and create predictive models for sectors like technology, healthcare, and finance.
Big Data Analyst: Processing, evaluating, and visualizing data in large-scale settings, such as Hadoop and Spark, using R.
Statistical Analyst: Using R to apply statistical methods to business challenges and provide insights from large amounts of data.
Machine Learning Engineer: Using R to design and deploy machine learning models for practical use in large data and artificial intelligence projects.
Business Intelligence Consultant: Using R to analyze and visualize big data patterns, this professional helps companies make data-driven decisions.
Industries in the USA and Canada that offer competitive pay and opportunities for career advancement in the quickly growing field of data analytics, including banking, healthcare, retail, and technology, are actively seeking professionals with R programming skills for big data.
