Udemy – Mega Python – Pandas, Numpy, ML, APIs, GraphQL, AWS, PySpark 2022-12 – Download

Explanation

Mega Python – Pandas, Numpy, ML, APIs, GraphQL, AWS, PySpark Welcome to Mega Python! This course will guide you through everything you need to know to use Python effectively and more! I have worked for Bloomberg for 17+ years and I will present the knowledge that will help you in this course. This course is a ‘Mega Course’, packed with many practical topics to help you truly succeed! We will cover the following topics:

Python Fundamentals
NumPy for High-Speed Numerical Processing
Pandas for Effective Data Analysis
Matplotlib for Data Visualization
Pandas Time Series Analysis Techniques
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What will you learn?

One Mega course with 30+ practical topics
Pandas, Numpy, Machine Learning, AWS Services, GraphQL, Developing APIs
Create and analyze projects using Python Pandas, Numpy libraries and more
Learn about building APIs, working with Databases like MongoDB, Cassandra
How to use Amazon S3, SQS and other services as DevOps
Work with PySpark and DataFrames
Analyze practical projects such as Global Earthquakes, Monkey Smallpox Virus and many more.

Who is this course for?

Anyone who wants to explore the world of Python
Anyone who wants to transition from Excel to Python
Anyone who wants to learn how to perform time series analysis on any instrument in the global financial market. ie Stocks, Indexes, Crypto and more
Anyone who wants to have one mega course on Python that covers a wide range of practical topics

Especially Mega Python – Pandas, Numpy, ML, APIs, GraphQL, AWS, PySpark

Publisher: Udemy
Teacher: It’s clear
Language: English
Level: All Levels
Number of courses: 387
Duration: 50 hours and 40 minutes

Course content

Mega Python - Pandas, Numpy, ML, APIs, GraphQL, AWS, PySpark

Requirements

No special knowledge required!

Pictures

Mega Python - Pandas, Numpy, ML, APIs, GraphQL, AWS, PySpark

Sample Clip

Installation Guide

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Subtitle: English

Quality: 720p

Changes:

Version 2022/12 compared to 2022/10 increased the number of 38 lessons and the duration of 5 hours and 51 minutes. English subtitles are also included in the course.