Data Analytics with Python and R Programming

Unlock the power of data with two of the most widely used tools in the analytics world — Python and R. Whether you’re just starting your data journey or looking to sharpen your skills, this course is designed to help you dive into the world of data-driven decision-making with hands-on experience.

Transform Raw Data into Powerful Insights

In today’s digital age, data is the new oil — but just like oil, it needs to be refined before it can fuel innovation and decision-making. Our course, “Data Analytics with Python and R Programming”, is designed to equip you with the tools, techniques, and thinking needed to transform raw numbers into actionable insights.

Whether you’re a student curious about data, a working professional looking to upskill, or someone aiming to switch to a more analytical career, this course is your stepping stone into the fast-evolving world of data analytics.

A Dual-Language Approach: Python + R

What makes this course unique is its dual-language focus. Python is known for its simplicity and versatility in handling big data and building machine learning models. On the other hand, R is a powerhouse for statistical analysis and data visualization. By mastering both, you’ll become a well-rounded analyst who can approach data problems from multiple angles.

What You'll Be Able to Do After This Course

  • Analyze complex datasets using both Python and R

  • Draw meaningful conclusions and patterns using statistical methods

  • Build visual dashboards and compelling reports to communicate insights

  • Design and implement simple machine learning models

  • Apply your skills in real-world settings like marketing analytics, financial forecasting, customer segmentation, and more

  • Present data confidently to non-technical audiences

Get Ready to Launch Your Analytics Career

The future belongs to those who understand data — and this course will put you at the forefront. Whether you’re aiming for a career in business intelligence, marketing analytics, data science, or simply want to become a more informed professional, “Data Analytics with Python and R Programming” is your launchpad.

Start your data journey today. Learn by doing. Analyze with purpose. Make data your superpower.

Certification and Beyond

Upon completion, you’ll receive a verifiable certificate that demonstrates your knowledge and capabilities in data analytics. But more importantly, you’ll walk away with a strong portfolio of practical projects, improved problem-solving skills, and the confidence to take on data challenges in any industry.

This course includes

Live Interactive Sessions

Learn directly from industry experts in real time.

One-to-One Counseling

Personalized guidance to keep your goals on track.

Corporate Mentors

Get trained by professionals with 15+ years of industry experience.

Global Certification

Earn a globally recognized credential to boost your career.

Real-World Live Projects

Work on hands-on projects to build practical experience.

Lifetime Support

Continuous learning and career assistance, even after course completion.

Duration

50 Weeks of Expert-Led Training

Lectures

153 In-depth Lectures

Skill Level

Advanced-Level Skill Building

Max Students per Batch

Limited Batch Size (Max 25 Students)

Certificate

Globally Recognized Certification

Data Analytics with Python and R Programming Course Curriculum

  • What is data analytics?

  • Real-world applications

  • Introduction to Python & R

  • Python basics (variables, data types, loops, functions)

  • Working with libraries: NumPy, Pandas, Matplotlib

  • Data wrangling and preprocessing

  • R syntax and RStudio environment

  • Data frames and dplyr

  • Data visualization using ggplot2

  • Descriptive and inferential statistics

  • Hypothesis testing

  • Correlation and regression

  • Dashboard creation with Python and R

  • Plotly, Seaborn (Python)

  • Advanced ggplot2 techniques (R)

  • Supervised vs. unsupervised learning

  • Linear regression, decision trees

  • Model evaluation and validation

  • Sales forecasting using Python

  • Customer segmentation in R

  • Interactive data storytelling

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“Data are just summaries of thousands of stories—tell a few of those stories to help make the data meaningful.”
— Dan Heath
“Data is like garbage. You’d better know what you are going to do with it before you collect it.”
~ Mark Twain
“Without big data, you are blind and deaf and in the middle of a freeway.”
— Geoffrey Moore.