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

One Mega course which covers programming, web development, APIs, DevOps, Financial World, Machine Learning and much more

What you'll learn
One Mega course with 30+ practical topics
Pandas, Numpy, Machine Learning, AWS Services, GraphQL, APIs Developments
Create and analyze projects via 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 a DevOps
Work with PySpark and DataFrames
Analyze practical projects like Global Earthquakes, Monkey Pox Virus and more..
Requirements
No specific knowledge needed!
Description
Welcome to Mega Python!
This course will guide you through everything you need to know to use Python for practical use and more! I've worked for Bloomberg for 17+ years and will present the knowledge to help you in this course.
This course is a 'Mega Course', packed with so many practical topics to help you success practically! We'll cover the following topics
Python Fundamentals
NumPy for High Speed Numerical Processing
Pandas for Efficient Data Analysis
Matplotlib for Data Visualization
Pandas Time Series Analysis Techniques
Statsmodels
Importing financial markets data
Create interactive financial charts with plotly
Time series analysis with indexing, filling and resampling
Create interactive data apps with streamlit
Data visualization with Dash
Why you should listen to me...
In my career, I have built an extensive level of expertise and experience in both areas: Finance and Coding
Finance
17 years experience in Bloomberg for the Finance and Investment Industry...
Build various financial markets analytics companies like
KlickAnalytics,
Cryptoquote
ClickAPIs and more
Python & Pandas
My existing companies extensively used python based models and algorithms
Code, models, and workflows are Real World Project-proven
Best Seller author on Udemy
e.g. PostgreSQL Bootcamp: Go from Beginner to Advanced, 60+ Hours course
Master Redis - From Beginner to Advanced, 20+ hours
Python for Finance
What are you waiting for? Guaranteed Satisfaction: Otherwise, get your money back with 30-day money back guaranteed by Udemy.
Looking Forward to seeing you in the Course!
LETS GET STARTED!
Who this course is for
Anyone who want to explore the world of Python
Anyone who want to transition from Excel into Python
Anyone who want to learn how to do time series analysis on any global financial market instruments. i.e. Stocks, Indexes, Crypto and more
Anyone who wants to have a single mega-course on Python which covers various practical topics
Homepage
https://anonymz.com/?
https://www.udemy.com/course/mega-python/
Screenshots

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