🏷 "Statistics for Data Science" Notes


👨🏻‍💻 In these notes, everything is structured and neatly organized from the basics of statistics to advanced tips. Each concept is explained with examples, formulas, and charts to make learning easy

🛑 What is statistics and why is it important?
🛑 Basic concepts
🛑 Descriptive statistics
🛑 Inferential statistics
🛑 Discrete and continuous distributions
🛑 And many other topics

🌐 #Data_Science #DataScience

https://t.me/CodeProgrammer ✅

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📕 #pandas Cheat Sheet


👨🏻‍💻 To easily read, inspect, clean, and manipulate data however you want, you need to master pandas!

✏️ To make learning and using pandas easier, this #cheatsheet covers almost all the important features you need for data-driven projects.

✔️ Reading and writing data
✔️ Data inspection
✔️ Data transformation and cleaning
✔️ Grouping and summarizing
✔️ Combining datasets

🌐 #DataScience #DataScience

https://t.me/DataAnalyticsX 🏐

📊 A comprehensive summary of the «Seaborn Library»

👨🏻‍💻 One of the best choices for any data scientist to convert data into clear and beautiful charts, so that they can better understand what the data is saying and also be able to present the results correctly and clearly to others, is the Seaborn library.

✅ A very user-friendly library for creating professional charts with minimal coding. It is built on top of Matplotlib but is simpler and easier to use than that.

✏️ With this summary, you will learn the syntax, see many examples and real applications of #Seaborn, and ultimately help you elevate your #datavisualization skills by several levels.

🌐 #Data_Science #DataScience

https://t.me/DataAnalyticsX 🌟

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🌟 A new and comprehensive book "Mastering pandas"

👨🏻‍💻 If I've worked with messy and error-prone data this time, I don't know how much time and energy I've wasted. Incomplete tables, repetitive records, and unorganized data. Exactly the kind of things that make analysis difficult and frustrate you.

⬅️ And the only way to save yourself is to use pandas! A tool that makes processes 10 times faster.

🏷 This book is a comprehensive and organized guide to pandas, so you can start from scratch and gradually master this library and gain the ability to implement real projects. In this file, you'll learn:

🔹 How to clean and prepare large amounts of data for analysis,

🔹 How to analyze real business data and draw conclusions,

🔹 How to automate repetitive tasks with a few lines of code,

🔹 And improve the speed and accuracy of your analyses significantly.

🌐 #DataScience #DataScience #Pandas #Python

https://t.me/CodeProgrammer ⚡️