Building Strong Analytical Foundations through Statistics for Data Science
Details
This interactive session is designed to equip you with the essential statistical thinking and analytical techniques that form the backbone.
We invite you to join our intensive bootcamp, Data Science In Action: A Project Based Bootcamp – Building Strong Analytical Foundations through Statistics for Data Science.
This interactive session is designed to equip you with the essential statistical thinking and analytical techniques that form the backbone of modern data science. If you are looking to enter the field or solidify your foundational knowledge, this bootcamp is the crucial first step. You’ll discover how to turn raw data into meaningful, actionable insights through practical examples and real-world applications.
What You’ll Discover in This Session:
This isn’t just theory; it’s a deep dive into the practical application of statistics in the data science workflow.
Key Takeaways You Will Master:
- Foundations of Statistical Thinking: Understand how statistics powers data-driven decision-making in business, research, and technology.
- Descriptive & Inferential Techniques: Learn to summarize data, test hypotheses, and draw valid conclusions with confidence.
- Exploring Relationships: Discover how correlation and regression help you identify deep patterns and build robust predictive insights.
- From Data to Insight: Immediately apply statistical reasoning to solve practical data problems using real-world datasets.
- Bridging to Data Science: Get a clear view of how these core statistical concepts directly underpin modern machine learning and AI applications.
By the end of the session, you’ll have a clear roadmap of how statistical methods form the foundation for every stage of the data science workflow — from exploration to prediction and interpretation.
Event Details:
Date & Time: 18 Nov, 2025 | 10:30 AM CET
Location/Platform: MS Teams
Register Now!
https://events.teams.microsoft.com/event/1264061c-521d-47fc-9ad3-c55ca7bd6609@ed31f069-7ac4-4605-b9ce-8587fd96e4cc
Don’t miss this essential opportunity to build your foundation in Data Science!
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