Data Science

“Analyzing and Optimizing Conversion Rates: Decoding the Dynamics”

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Introduction: Are you facing challenges in maximizing your e-commerce conversion rates? You’re not alone. Conversion Rates (CR) are the cornerstone of success in the digital marketplace. This article is your go-to guide for understanding and leveraging essential metrics and Key Performance Indicators (KPIs) to elevate your e-commerce performance. We’ll explore strategies to decode the dynamics … Read more

Quantitative Investing, Recommendation Engines, and Poker: Crafting a Strategy 

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Diving into the world of quantitative investing, recommendation engine design, and poker gameplay has become a fascinating journey for me recently. My quest involves not only comprehending these seemingly disparate subjects but also finding ways to leverage them profitably. It was during a recent poker event in Cyprus, as I relished the games that a … Read more

Recommendation built by engineers vs. Recommendation built by scientists

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Welcome to this exploration of the world of recommendation engines, where we’ll dive into the crucial aspect of modeling recommendation problems and the profound impact they can have on the results. In this blog post, I’ll share insights from my journey and experiences, highlighting instances where the right modeling strategy made all the difference. But … Read more

Customer Segmentation is not clustering!

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Introduction: Customer segmentation is a fascinating task that empowers businesses to gain deeper insights into their customers and better understand their data and operations. The ability to comprehend customers and deliver personalized services is an invaluable asset that no one can deny. Businesses of all scales and stages in their journey use customer segmentation to … Read more

“Art of problem solving with data” Course

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In the fast-paced world of data science and artificial intelligence (AI), it’s easy for newcomers to fall into the trap of focusing solely on algorithms and tools, neglecting the fundamental aspects of problem-solving. Recognizing this gap, a group of dedicated individuals came together to create a course that dives deeper into the untold issues of the data science field. Titled “Art of Problem Solving with Data,” this course aims to equip learners with the necessary skills to approach problems more comprehensively and effectively. Published on maktabkhoone.org, this course promises to elevate your understanding of data science beyond superficial knowledge.

  • Problem Statement: The course begins by emphasizing correctly addressing a problem. Students learn how to define problems, model them, and how to evaluate their solutions. Key topics covered include modularization, root cause analysis, and exploratory data analysis (EDA). By delving into these foundational elements, learners gain a perspective that extends beyond the mere application of algorithms. Understanding how to frame and analyze problems properly is crucial for success in data science.
  • Before Fit, After Predict: This course section focuses on the steps researchers should consider before and after applying machine learning techniques to solve a problem. While algorithms play a significant role, the course highlights the importance of thorough data preparation, feature engineering, and evaluation of models. Learners gain a comprehensive understanding of the entire data science pipeline by illuminating these oft-overlooked aspects. Being mindful of the entire process enables researchers to make informed decisions and achieve more reliable and robust results.
  • Data Storytelling: In this section, the course delves into data visualization tools and techniques, empowering learners to present and report results in a more accurate, concise, and compelling manner. By mastering the art of data storytelling, students enhance their ability to convey insights to diverse audiences. Captivating visuals help make complex information accessible and facilitate better decision-making, making this section invaluable for aspiring data scientists.

 

 

The “Art of Problem Solving with Data” course, published on maktabkhoone.org (, addresses the critical yet often overlooked aspects of data science. This course provides a well-rounded education that transcends the algorithm-centric approach by focusing on problem statements, the importance of steps before and after applying machine learning techniques, and data storytelling. While the course assumes a background in ML, AI, and data science, it is a valuable resource for those seeking a deeper understanding of the field. Leap and enroll in this course to gain the skills and knowledge necessary to excel in data science.

P.S: The Course presented in the Farsi language

Link to the course: Art of Problem Solving with Data