An Introductory Guide to Data Preprocessing: Steps, Tools, and Best Practices

ByKesha Patel

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.

AI Data Science

ByStartupAnalytics

Artificial Intelligence (AI) is the buzzword of our generation. Tech Giants, aka the Googles and OpenAIs of the world, are competing to gain an edge in the AI space. OpenAI recently launched its new GPT-4o model. The one with multi-modal capabilities with the ability to reason across text, audio and video. In the wake of…

How to Learn SQL

ByStartupAnalytics

SQL aka structured query language is the base for Pizza (Analytics and Data Science). While everyone goes gung-ho about the toppings and cheese (machine learning & fancy algorithms). SQL is critical for being able to query structured data for clear insights and start the analysis with the right questions. Thus the a need to learn…

How to get Automated Insights from Google Analytics

ByStartupAnalytics

Google Analytics is one of the most popular website tracking tools and is especially important for startups and small businesses. In today’s age of data and fast experimentation. Thereby, it’s important to set it up properly. This is key to understanding the data and making the right decisions. FAST! The goal is to get automated…