Course Information
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Course Overview
One Mega course which covers programming, web development, APIs, DevOps, Financial World, Machine Learning and much more
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!
Course Content
- 52 section(s)
- 387 lecture(s)
- Section 1 Getting Started
- Section 2 *** COURSE - NEW UPDATES ***
- Section 3 Python Strings and Numbers
- Section 4 Python List
- Section 5 Python Tuple
- Section 6 Python Set
- Section 7 *** NUMPY ****
- Section 8 *** PANDAS ****
- Section 9 Pandas Tricks
- Section 10 **** BUILDING APIs ****
- Section 11 Serverless Hosting via AWS Lambda
- Section 12 Serverless Web App on AWS Lambda with Zappa
- Section 13 AWS Lambda Function with DynamoDB
- Section 14 Python with GraphQL
- Section 15 **** PYTHON AND DATABASES ****
- Section 16 Python with MySQL
- Section 17 Python with Amazon DynamoDB
- Section 18 Python with Apache Cassandra
- Section 19 SQLAlchemy ORM, PostgreSQL and Python
- Section 20 FastAPI, Sqlite, SQLAlchemy - Todo List
- Section 21 **** DATA VISUALIZATIONS ****
- Section 22 Data Visualization with Dash
- Section 23 Building Interactive data apps with Streamlit
- Section 24 Data Visualization with Plotly
- Section 25 Using Google Translation APIs
- Section 26 **** REALTIME DATA APPLICATIONS ****
- Section 27 Realtime Blog Activity Feed
- Section 28 Asynchronous programming in Python
- Section 29 **** OBJECT ORIENTED PROGRAMMING (OOP) ****
- Section 30 Pydantic Classes
- Section 31 Create a Financial Instrument Analysis Class
- Section 32 ModelView/Controller (MVC) Pattern
- Section 33 **** GAME DEVELOPMENT ****
- Section 34 Introduction to Pygames
- Section 35 *** DATA SCIENCE AND MACHINE LEARNING ***
- Section 36 *** DEV OPS ***
- Section 37 Amazon S3 Services
- Section 38 Amazon SNS Services
- Section 39 AWS Lambda Function
- Section 40 AWS Step Functions
- Section 41 PySpark - SparkSQL and Dataframes
- Section 42 PyScript - Power of Python in the browser!
- Section 43 **** BLOCKCHAIN WITH PYTHON****
- Section 44 Social Media Analysis
- Section 45 Generative Art using Python
- Section 46 OpenAPI ChatGPT
- Section 47 *** PROJECTS ***
- Section 48 Analyzing Sales Transaction Data
- Section 49 Analyzing Employees Turnovers Churn Rates
- Section 50 Global Earthquakes Analysis
- Section 51 Monkey Pox Virus - Data Analysis
- Section 52 Thank You!
What You’ll 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..
Skills covered in this course
Reviews
-
NNeeraj Bhandari
very long course
-
NNenad Andonov
A bit misleading
-
AAdarsh Singh
It's good
-
TTheron Lesesne
Very Good Lesson. Very Quick and to the point!