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How to Learn Math for Data Science: A Roadmap for Beginners

KDnuggets

By Bala Priya C , KDnuggets Contributing Editor & Technical Content Specialist on June 12, 2025 in Data Science Image by Author | Ideogram You dont need a rigorous math or computer science degree to get into data science. Well, most people approach data science math backwards. Probability comes next.

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10 Real World Data Science Case Studies Projects with Example

ProjectPro

With wide applications in various sectors like healthcare , education, retail, transportation, media, and banking -data science applications are at the core of pretty much every industry out there. How do you prepare a data science case study? petabytes of data every hour! petabytes of data every hour!

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15+ Exciting Python Flask Projects for Data Science Enthusiasts

ProjectPro

Are you a data science enthusiast looking to enhance your Python Flask skills? Check out these exciting python flask projects that will help you apply your Flask knowledge to solve real-world data science challenges. Here is the list of the best Python Flask projects ideal for data experts. stars and 2.3k

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Top 5 GeoSpatial Data Science Project Ideas for Practice

ProjectPro

Geospatial data is data that contains temporal as well as spatial information. If you’re data scientist or machine learning engineer keen on working with geospatial data, explore these top five geospatial data science project ideas to understand the lesser known applications of data science.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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How to Leverage Docker for Data Science Applications?

ProjectPro

Say, today, you are building a data science application on your personal computer, and you want your friend to test its performance. Table of Contents Why is Docker for Data Science needed? FAQs Is Docker important for Data Science? What are the use cases for Docker in Data Science and Machine Learning?

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Introducing Agent Bricks: Auto-Optimized Agents Using Your Data

databricks

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data! REGISTER Ready to get started?

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)