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
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
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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!
What You Will Learn!
- One Mega course 50+ hours 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..
Who Should Attend!
- 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