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.
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.
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.
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
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.
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.
Learn directly from industry experts in real time.
Personalized guidance to keep your goals on track.
Get trained by professionals with 15+ years of industry experience.
Earn a globally recognized credential to boost your career.
Work on hands-on projects to build practical experience.
Continuous learning and career assistance, even after course completion.
50 Weeks of Expert-Led Training
153 In-depth Lectures
Advanced-Level Skill Building
Limited Batch Size (Max 25 Students)
Globally Recognized Certification
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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