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From Beginner to Expert!
Upgrade your coding skills with Placement Point Solutions’ Best-Selling Data science Course with R Programming
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- Learn from Industry Experts
- Practical, Hands-On Training
- Chennai’s #1 Data science course with R Programming Training institute
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Why Study Data Science With R Programming
R is powerful for statistics, data visualization, and analytics, widely
used in research and industry. With rich libraries and strong
community support, it’s ideal for handling complex data!
Benefits of Learning Data Science With R Programming
✨ Strong in Statistics – Ideal for data analysis and research.
✨ Powerful Visualization – Advanced graphing with ggplot2, Shiny,etc.
✨ Rich Libraries – Includes dplyr, tidyr, and caret for data manipulation.
✨ Open-Source – Free to use with strong community support.
✨ Great for Big Data – Handles large datasets efficiently.
✨ Industry & Research Use – Preferred in academia, healthcare, and finance.
✨ Integration Friendly – Works with Python, Hadoop, and SQL
Future Scope of Data Science With R Programming
✨ High Demand – Used in finance, healthcare, and research.
✨ Statistical Excellence – Preferred for advanced analytics and modeling.
✨ Big Data & AI – Expanding in data-driven industries.
✨ Data Visualization – Essential for impactful insights.
✨ Integration Power – Works well with Python, SQL, and cloud platforms.
✨ Academic & Research Growth – Strong presence in scientific research.
Kickstart Your Career with Data Science With R Programming
With its endless applications and growing demand, Data Science with
R is the key to a successful tech career. Enroll in an R course today and step into a world of innovation and opportunity!
key features
Course Duration : 40 hours
Intensive, focused training designed to quickly upskill you in a short timeframe.
100% Job-Oriented Training
Curriculum tailored to industry requirements, ensuring you gain the skills employers are looking for.
Industry Expert Faculties
Learn from seasoned professionals with real-world experience.
Flexible Demo Class Available
Opportunity to attend a demo session and experience the training style before enrolling.
Completed 400+ Batches
Proven track record with hundreds of successful batches, demonstrating program reliability and effectiveness.
Certification Guidance
Support throughout your journey to help you earn relevant certifications that boost your career.
Live Practical Sessions (if needed)
Hands-on, interactive sessions to reinforce learning and apply concepts in real-time.
Peaceful Environment
A conducive learning atmosphere that helps you focus and maximize your learning potential.
Syllabus of Data Science with R Programming
- What is Data Science
- Applications of Data Science Overview of R Programming
- Installing R and RStudio
- R Basics: Data Types, Variables, Operators
- Control Structures: Conditional Statements & Loops
- Functions in R
- Importing & Exporting Data (CSV, Excel, JSON, SQL)
- Vectors, Lists, Matrices, Data Frames, Factors
- Tidyverse and dplyr Package: Data Wrangling
- Data Cleaning & Preprocessing
- Handling Missing Data & Outliers
- String Manipulation using stringr
- Feature Engineering
- Introduction to ggplot2
- Creating and Customizing Graphs (Line, Bar, Scatter, Histogram, Boxplot)
- Advanced Visualization (Heatmaps, Pairplots, Density Plots)
- Interactive Visualizations with plotly and shiny
- Understanding Data Distributions
- Descriptive Statistics (Mean, Median, Mode, Variance, Standard Deviation)
- Correlation & Covariance
- Detecting and Handling OutliersPPS
- Hypothesis Testing & Statistical Inference
- Overview of Machine Learning (Supervised vs. Unsupervised Learning)
- Introduction to Machine Learning Packages: caret, mlr3
- Data Splitting: Train-Test Split & Cross-Validation
- Performance Metrics (RMSE, Accuracy, Precision, Recall, F1-Score)
- Linear Regression
- Logistic Regression
- Decision Trees & Random Forest
- Support Vector Machines (SVM)
- k-Nearest Neighbors (kNN)
- Model Tuning & Hyperparameter Optimization
- K-Means Clustering
- Hierarchical Clustering
- Principal Component Analysis (PCA)
- Association Rule Mining (Apriori Algorithm)
- Time Series Analysis (ARIMA, Exponential Smoothing)
- Natural Language Processing (NLP) with R
- Introduction to Deep Learning with TensorFlow & Keras in R
- Recommender Systems with R
- Introduction to Big Data with RPPS
- Working with Hadoop & Spark (sparklyr Package)
- Deploying Models with R Shiny & Plumber API
- Cloud Deployment (AWS, GCP, Azure)
- End-to-End Data Science Project
- Data Collection, Cleaning, and Preprocessing
- Exploratory Data Analysis & Feature Engineering
- Model Development & Evaluation
- Deployment & Presentation
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Our certification is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.
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