Data Analytics with R Course in Vadodara
BRIGHT Computer Education provides Best Data Analytics with R Course in Vadodara. Above all, it is one of the best Data Analytics with R institute in Vadodara.
- Multiple Course Options
- Professional Faculty
- Open Environment
- Job-Ready Students
- Affordable Fee-Structure
- Training with Modern Software
Inquire Now
Fill in the details and we will call you soon
Our Facts and Figures
We live in a world that is totally driven by the data. Data Science training with r in Vadodara is the need of the day. Small enterprises to big companies like Amazon, Flipkart and Microsoft all deal with a huge amount of data. Therefore, data science and data analytics are so much in demand.
Course Highlights
Data Analytics with R
We live in a world that is totally driven by the data. Data Science training with r in Vadodara is the need of the day. Small enterprises to big companies like Amazon, Flipkart and Microsoft all deal with a huge amount of data. Therefore, data science and data analytics are so much in demand.
The demand for the data scientists is higher than the supply of data scientists. Therefore, at Bright Computer Education, we provide best Data science training in Vadodara.
Data Science training with R in Vadodara is a powerful language that was developed in the early 90s. It is mostly used for statistical computing and data analysis. Since it’s development, endless attempts have been made to improve its user interface. The journey of R language started from rudimentary text editor and has extended to R studio. In addition to that, the recent Jupyter Notebook has engaged multiple data science communities across the globe. Furthermore, inclusion of certain packages like dplyr, tidyr, readr, data.table, SparkR, ggplot2 have made data manipulation, visualization and computation much faster.
WHY TRAIN AT BRIGHT?
Bright Computer Education provides best Data analytics with R training in Vadodara. We have team of expert professionals who design the course and update it based on industrial requirements. Furthermore, we have lab facilities at our Institute to enhance learning process. There are no prerequisites for the course. Therefore, anyone with basic knowledge of algebra and statistics can apply for this course. At Bright, we teach from scratch up to the advanced level. Therefore, we manage to provide quality training to our students.
At Bright Computer Education, we provide quality training with moderate fees. Furthermore, our trainers are certified experts with their hands on real time projects. We also assist in placement and interviews. For this purpose, we particularly have a team of HR experts to help you. Furthermore, there is also time flexibility at our Institute. We provide classes on weekdays and also on weekends along with fast track training classes.
To stay updated, please do follow us on FACEBOOK
Course content :
Overview of R programming language and its applications in data analytics, including data manipulation, visualization, and statistical analysis.
Installation and configuration of R and RStudio, setting up working directories, and navigating the RStudio interface.
 Techniques for importing data from various sources such as CSV files, Excel spreadsheets, databases, and web APIs into R, and exporting results to different file formats.
Using the dplyr package for data manipulation tasks such as filtering, sorting, summarizing, and joining datasets.
Creating interactive and publication-quality visualizations such as scatter plots, histograms, box plots, and heatmaps using the ggplot2 package.
Calculating and interpreting descriptive statistics such as mean, median, mode, variance, and standard deviation using R functions.
Understanding probability distributions, hypothesis testing, confidence intervals, and regression analysis for making inferences about data.
Building predictive models using machine learning algorithms such as linear regression, decision trees, random forests, and support vector machines with the caret package.
Evaluating model performance, selecting appropriate evaluation metrics, and validating models using cross-validation techniques.
Analyzing time-series data, forecasting future trends, and detecting seasonality and trends using the tsibble package.
Analyzing unstructured text data, performing sentiment analysis, and extracting insights from text using the tm package.
Introduction to big data analytics using the sparklyr package, connecting to Apache Spark clusters, and processing large-scale datasets.
Building interactive web applications for data visualization and analysis using the Shiny framework.
Applying R programming skills to real-world data analytics projects and case studies to demonstrate practical applications.
Learning best practices for coding in R, optimizing performance, debugging code, and collaborating with others using version control systems like Git.
Key Features
Limited Students
Flexible Batch Timing
Highly Qualified Trainers
Interactive Learning
Affordable Fees
Career Guidance
FAQ'S
 A Data Analytics with R training program offers comprehensive training in data analysis techniques, statistical methods, machine learning algorithms, and data visualization tools using the R programming language.
This program is ideal for aspiring data analysts, business analysts, data scientists, and professionals seeking to enhance their skills in data analysis and visualization using R.
The program covers data import/export, data manipulation, data visualization, descriptive and inferential statistics, predictive modeling, time series analysis, text analytics, big data analytics, and Shiny app development with R.
While prior programming experience can be helpful, the program is designed to accommodate learners with varying levels of experience, from beginner to advanced.
Graduates can pursue careers as data analysts, business analysts, data scientists, machine learning engineers, and consultants in industries such as finance, healthcare, retail, marketing, and technology.
