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File Name: | Mega Python – Pandas, Numpy, ML, APIs, GraphQL, AWS, PySpark |
Content Source: | https://www.udemy.com/course/mega-python/ |
Genre / Category: | Programming |
File Size : | 12GB |
Publisher: | udemy |
Updated and Published: | October 11, 2022 |
One Mega course which covers programming, web development, APIs, DevOps, Financial World, Machine Learning and much more
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!
DOWNLOAD LINK: Mega Python – Pandas, Numpy, ML, APIs, GraphQL, AWS, PySpark
Mega_Python_Pandas__Numpy__ML__APIs__GraphQL__AWS__PySpark.part1.rar – 2.0 GB
Mega_Python_Pandas__Numpy__ML__APIs__GraphQL__AWS__PySpark.part2.rar – 2.0 GB
Mega_Python_Pandas__Numpy__ML__APIs__GraphQL__AWS__PySpark.part3.rar – 2.0 GB
Mega_Python_Pandas__Numpy__ML__APIs__GraphQL__AWS__PySpark.part4.rar – 2.0 GB
Mega_Python_Pandas__Numpy__ML__APIs__GraphQL__AWS__PySpark.part5.rar – 2.0 GB
Mega_Python_Pandas__Numpy__ML__APIs__GraphQL__AWS__PySpark.part6.rar – 2.0 GB
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