DATA SCIENCE

★★★★★

(2,095 ratings) 50,000+ Student

PYTHON WITH R LANGUAGE

The Python with R Language course is designed for learners who want to build strong skills in programming, data analysis, and data science using two of the most popular languages in the analytics world. The training covers Python and R fundamentals, data manipulation, statistical analysis, visualization, and real-world data-driven problem-solving techniques. By learning both languages, students gain flexibility in handling data science, machine learning, and business analytics projects. This course is ideal for beginners, data analysts, aspiring data scientists, students, and professionals looking to strengthen their analytical and programming skills for today's data-driven industries. Projects Level : Beginner to Intermediate

Radical Technologies

50,000+ English 60 hours Weekdays / Weekends Classroom / Online / Corporate

Online / Classroom

IT Training Programme

Duration 60 hours

Batch Type Weekdays / Weekends

Mode of Training Classroom / Online / Corporate

Locations Pune, Bangalore, Kochi

Language English

Certification Globally Recognized

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100% placement assistance

What you'll learn

Understand core concepts and architecture from the ground up

Get hands-on with the tools used by working professionals

Build real-world projects you can add to your portfolio

Learn industry best practices and coding standards

Practice with real datasets and real-world scenarios

Prepare for certification and technical interviews

Work on collaborative, team-based exercises

Apply performance tuning and optimization techniques

Understand how the technology fits into a larger ecosystem

Complete assignments reviewed by mentors

Programme Overview

14 sections covering the complete curriculum — a single, progressive learning arc.

60 hours

Training Duration

Core Modules

Total Lessons

4.4★

Average Rating

50K+

Students Trained

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a DATA SCIENCE role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

14 sections • 62 lessons • 60 hours

Jump to Section

Total Duration

60 hours

100% Practical · Unlimited Doubt Sessions

01 Target Audience:

• Data Analysts & Scientists

• Statisticians

• ML Engineers

• Researchers and Academicians

02 Course Objectives

• Understand the core programming concepts of Python and R

• Perform data manipulation, analysis, and visualization

• Use both languages for statistical modeling and machine learning

• Enable inter-language integration (e.g., using R in Python and vice

versa)

03 Module-wise Syllabus

Module-wise Syllabus

04 Module 1: Programming Fundamentals in Python and R (6 Hours)

• Introduction to Python and R environments (Jupyter, RStudio)

• Variables, Data types, Operators

• Conditionals, Loops, Functions

• Code structure and syntax comparison between Python & R

05 Module 2: Data Structures & Manipulation (6 Hours)

Python: Lists, Tuples, Dictionaries, Numpy arrays R: Vectors, Matrices,

Data frames, Lists

• Indexing and slicing

• Data import/export (.csv, Excel, JSON) Assignment: Data

transformation tasks in both languages

06 Module 3: Data Wrangling with Pandas (Python) & dplyr/tidyr (R) (8 Hours)

• Filtering, selecting, grouping, aggregating

• Joins and merges

• Handling missing data

• Reshaping datasets

Lab: Clean and merge messy datasets using both Python and R.

07 Module 4: Data Visualization (6 Hours)

Python: Matplotlib, Seaborn, Plotly R: ggplot2, base R plots, plotly for R

• Histograms, Bar plots, Box plots, Scatter plots

• Multivariate visualizations Project: Create a dashboard-level

visualization in both Python and R.

08 Module 5: Statistical Analysis (6 Hours)

• Descriptive statistics (mean, median, std dev)

• Inferential statistics (t-test, ANOVA, chi-square)

• Correlation and regression

• Hypothesis testing Tools: scipy.stats (Python), stats & car packages (R)

09 Module 6: Machine Learning Basics (8 Hours)

• Train-test split, Cross-validation

• Regression models

• Classification models: Logistic Regression, Decision Tree

• Evaluation metrics: Accuracy, Confusion Matrix, ROC Python: Scikitlearn R: caret, randomForest

10 Module 7: Advanced Data Techniques (6 Hours)

• Time Series (Pandas & Prophet in Python; ts, forecast in R)

• Clustering (K-means, Hierarchical)

• PCA & Dimensionality Reduction

11 Module 8: Python-R Interoperability (4 Hours)

• Calling R code in Python using rpy2

• Running Python code in R using reticulate

• Integrating notebooks and scripts

• Performance and deployment considerations

12 Module 9: Capstone Projects (4–6 Hours)

Choose one or more of the following :

• Predictive sales analytics using Python + R

• Exploratory data analysis & visualization using R and Python

• Machine learning model comparison using both tools

13 Tools & Libraries :

• Python : Jupyter, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn,

rpy2

• R: RStudio, ggplot2, dplyr, caret, reticulate, forecast Roles Aligned:

RoleSkills Gained

Data Analyst

Data wrangling, visualization, statistics

Data Scientist

ML models, evaluation, integration

Statistician

Inferential methods, R modeling

Academic / Researcher

Cross-language analytics workflows

14 Deliverables :

• Training Slides

• Practice Notebooks (Python + R)

• Assignments & Solutions

• Capstone Project Templates

• Certification of Completion

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

62+

Hands-On Lessons

Core Modules

60 hours

Training Duration

100%

Practical Training

You don't just learn PYTHON WITH R LANGUAGE. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

→Requirement Analysis

→Guided Implementation

→Mentor Review

→Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief

Step-by-step implementation

Mentor feedback and review

Documented outcome

Stack Core Concepts Best Practices

PROJECT // 02

Applied Practice Project

→Scenario Design

→Independent Build

→Testing & Validation

→Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation

Testing and validation

Documentation

Peer/mentor review

Stack Applied Skills Testing

PROJECT // 03

Capstone Project

→Planning

→End-to-End Build

→Review & Refinement

→Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution

Presentation-ready documentation

Mentor sign-off

Portfolio-ready deliverable

Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

Upcoming Batches

No upcoming batches scheduled right now. Enquire to get notified.

Why Radical Technologies

Live Online Training

Highly practical oriented training
Installation support on your system
24/7 Email and Phone support
100% Placement Assistance
Global Certification Preparation
Trainer-Student Interactive Portal
Assignments and Projects by Mentors

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Live Classroom Training

Weekend / Weekdays / Morning / Evening batches
80:20 Practical and Theory ratio
Real-life Case Studies
Easy make-up for missed sessions
PSI | Kryterion | Redhat Test Centers
Lifetime Video Classroom Access (coming soon)
Resume Prep and Mock Interviews

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Self-Paced Training

Learn 300+ courses at your own time
50,000+ Satisfied Learners
Course Completion Certificate
Practical Labs available
Mentor Support available
Doubt Clearing Session available
10% Discounted Global Certification

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Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.