Why learn this: These are the building blocks of Python programming. Without mastering these concepts, you won’t be able to write functional code or progress to more advanced topics. These fundamentals form the language “grammar” you’ll use in all Python programming. This Python RoadMap is for primarily for beginners! 1. Fundamentals (2-4 weeks) You can … [Read more…]
In recent months, discussions about the “Dangers of AI” have become ubiquitous across social media, news outlets, podcasts, and various other platforms. But what exactly makes artificial intelligence dangerous? Is it the sci-fi scenario of machines becoming conscious and taking over the world, or are there more nuanced and immediate concerns we should be addressing? … [Read more…]
In today’s data-driven web development landscape, choosing the right Website Analytics Platform is crucial for understanding user behaviour and improving your website’s performance. We’ve compiled insights from real developers discussing their preferred analytics solutions, highlighting the strengths and use cases of each tool. This is summarisation of a Reddit Post here Matomo Overview: Self-hosted analytics … [Read more…]
Choosing the Right Analytics Tool for Your! If you are still early in your startup journey, understand how Data Analytics RoadMap looks like! Read thisStartup: Choosing between the right tools : Mixpanel vs Amplitude is a challenge! The LandScape As a company that’s just beginning its wings in the digital landscape, the correct and accurate … [Read more…]
So you decided to get onto the Data Bandwagon by giving Data related careers a shot! Despite, plenty of information online, the challenge with Data Roles is understanding the different types of roles, how to think about it and execute the plan of action. This Data Analytics RoadMap starts with a simple question! Why do … [Read more…]
Data preprocessing is the foundation of any successful data analysis project. In this blog, we explore the critical steps to clean, transform, and prepare data using the Yahoo Finance Nifty-50 dataset as a case study. Learn how to handle missing values, remove outliers, scale features, and more to enhance data quality and improve model accuracy. Whether you’re a beginner or seasoned analyst, mastering these techniques will amplify your data-driven decision-making.