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A concise course introducing foundational Python programming concepts, focusing on core syntax, data structures, and basic operations. Ideal for beginners seeking a solid starting point in Python.

In the world of business, making decisions based on hard data rather than intuition can be the key to success. This course focuses on one crucial technique: analyzing A/B test data. The centerpiece of the course is a project where you'll conduct a detailed analysis of an A/B test. This project, which you can showcase in your CV, is hosted on Codefinity, allowing you to continually refine it and demonstrate your growing expertise.

Master advanced data manipulation techniques in pandas, focusing on combining and reshaping DataFrames for powerful data analysis workflows.

Explore practical techniques for Exploratory Data Analysis (EDA) using Python, pandas, matplotlib, and seaborn. Each chapter provides hands-on experience with essential EDA concepts, from univariate to multivariate analysis, anomaly detection, and automated profiling.

Explore the Central Limit Theorem and robust outlier detection using IQR, leveraging Python, pandas, matplotlib, and seaborn for hands-on data analysis and visualization.

Master styling React applications using Tailwind CSS. Learn how to integrate Tailwind into React, design reusable UI components, customize themes, build responsive layouts, and enhance interfaces with interactivity and animations.

Manage server state in React applications using TanStack Query. Fetch, cache, and synchronize remote data, handle mutations and optimistic updates, and implement advanced query patterns for dynamic data flows. Optimize queries for performance, scalability, and maintainability in production React applications.

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