Data Science In Action: Session 3 | Data Science with R Software

Data Science In Action: Session 3 | Data Science with R Software

In the third session of our project-based bootcamp, we transition from theoretical foundations to the actual "engine room" of data science: The R Programming Language.

R is the language of choice for top-tier statisticians and data scientists globally. This session is designed to be a practical, hands-on workshop where you will learn to navigate the RStudio environment, manipulate data, and build predictive models that drive real-world business decisions.

⚡ Why R?
While many languages can handle data, R was built specifically for it. It offers an unparalleled ecosystem for statistical graphics and data visualization, making your insights not just accurate, but visually compelling.

🚀 What You Will Master
By the end of this intensive session, you will have moved from a beginner to a confident practitioner in R:

* R & RStudio Proficiency: Master the environment, from basic data types to intermediate coding tasks and package management.
* Sampling Theory in Practice: Use R to simulate and understand the core theories that allow us to draw conclusions about massive populations from smaller datasets.
* Advanced Resampling Methods: Apply techniques like Bootstrapping and Cross-Validation to ensure your findings are robust and reliable.
* Linear Regression Modeling: Learn not just how to run a regression model, but how to interpret the results to find the "story" hidden in your data.
* Data-Driven Decision Making: Connect your technical findings to business outcomes, using R to provide clarity and evidence for strategic moves.

🎓 Who Should Attend?
Aspiring Data Scientists ready to add a powerhouse programming language to their toolkit.
Researchers & Academics who need a more robust alternative to Excel for statistical analysis.
Business Analysts looking to automate their reporting and move into predictive modeling.
Students currently enrolled in our bootcamp who are ready to see "Statistics in Action."

📅 Event Details

Date & Time: 27 Jan, 2026, 3:30 PM CET Via Microsoft Teams

Don’t just study data science—do it.

Registration Link :
https://events.teams.microsoft.com/event/242054c3-7fd0-4cdf-97ef-c93d488d77ce@ed31f069-7ac4-4605-b9ce-8587fd96e4cc