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  • Python for Finance and Data Science

Python for Finance and Data Science

  • By admin
  • Finance & Accounting
    (0.0/ 0 Rating)
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19077

Are you ready to revolutionize your understanding of Finance and Data Science?

Dive into the world of Python for Finance and Data Science, where cutting-edge technology meets the dynamic field of financial analysis.

In this comprehensive course, I will guide you through the essential principles and practical techniques that will supercharge your financial analysis skills. Whether you’re an aspiring financial professional, data scientist, quant-oriented or simply eager to expand your knowledge, this course will empower you to extract valuable insights from financial data and make informed decisions.

Harness the power of Python, the industry’s leading programming language for data analysis and automation. Explore the intricacies of financial data retrieval, preprocessing, manipulation and gain the tools to transform raw data into compelling visualizations and intuitive dashboards.

Discover how to implement Portfolio Analysis and Portfolio optimization techniques, all using Python. Uncover hidden patterns in the data, build and backtest trading strategies, and explore algorithmic trading possibilities.

But it doesn’t stop there! This course goes beyond finance by incorporating essential data science concepts. You’ll master the art of Data manipulation, Portfolio Analysis, Applied Financial Analysis, Backtesting and uncover critical business insights.

Get ready for hands-on exercises, real-world examples, and expert guidance from an actively working quant finance professional

My engaging curriculum ensures a seamless learning experience as I am equipping you with the skills to excel in the fast-paced world of finance and Data Science.

Don’t miss this opportunity to transform your career and gain a competitive edge in the financial or data industry. Enroll now and unleash the full potential of Python for Finance and Data Science!

What will YOU learn in specific?

  • Fundamental Python Programming

  • An Introduction to one of the most powerful Data Science and Financial Data Analysis Libraries: Pandas

  • A FULL guide into applied Financial Data Analysis

  • A FULL guide into Portfolio Analysis and Portfolio Management with Python on real stock data

  • You will learn to quantitatively analyze you own portfolio and give it a reality check! 🙂

  • An Introduction to Backtesting Trading Strategies and Vectorization

  • Optimizing a Portfolio using state of the art tools

  • Advanced Trading Strategies using concepts of Optimization and Machine Learning

  • Building state of the art and beautiful Interactive Finance Dashboard

  • Learn about the powerful Intersection of Pandas & SQL and use it to leverage your knowledge

Why this course and no other one?

  • I am actively working in the field of quant Finance covering Data Science and quantitive Finance topics since several years and wrote my Master Thesis in quantitative Finance – I know what’s relevant in practice but also what is relevant to cover to level up!

  • I have taught Python for Finance and Automated Trading topics to over 75.000 people on YouTube and countless people privately.

  • You will get a lot of Quizzes, Exercises to apply what I taught and I will give you relevant tips and practical advise. I challenge you to solve all of the provided exercises! 🙂

  • There is no single time filler in this course. We are getting straight to the topics and I am being as brief as possible but also taking my time to be as specific as possible

  • Outstanding support: If you don’t understand something, you feel you are stuck or you simply want to connect with me just write me a message and I am getting back to you as soon as possible!

What are you waiting for? Click ‘Enroll now’  to get started! I am excited and looking forward to see you inside the course 🙂

Installation and Jupyter Notebook Basics
  • 1
    What does this course cover?
    Video lesson
  • 2
    Disclaimer [MUST WATCH!]
    Video lesson
  • 3
    How to get the most of this course?
    Video lesson
  • 4
    Any questions or problems? Reach out!
    Video lesson
Python Fundamentals
  • 5
    Download Anaconda & Set Up Jupyter Notebook
    Video lesson
  • 6
    Jupyter Notebook Basics
    Video lesson
Fundamentals of Pandas
  • 7
    Variables & Single Datatypes
    Video lesson
  • 8
    What you should NEVER do
    Video lesson
  • 9
    Typecasting & User Input
    Video lesson
  • 10
    Practice Time :-)
    Video lesson
  • 11
    Arithmetic Operators
    Video lesson
  • 12
    Comparison Operators / Logical Operators
    Video lesson
  • 13
    Indentations & If-Statements
    Video lesson
  • 14
    Practice Time :-)
    Video lesson
  • 15
    Lists as objects with methods in Python
    Video lesson
  • 16
    List Slicing & Indexing
    Video lesson
  • 17
    Difference between lists & tuples
    Video lesson
  • 18
    Dictionaries
    Video lesson
  • 19
    For loops
    Video lesson
  • 20
    Combining lists & loops: List comprehension
    Video lesson
  • 21
    While loop
    Video lesson
  • 22
    Practice Time :-)
    Video lesson
  • 23
    Practice your knowledge with a common Interview question!
    Video lesson
  • 24
    Functions
    Video lesson
Applied Financial Data Analysis
  • 25
    Setting up a DataFrame and DataFrame properties
    Video lesson
  • 26
    Adding columns and using dictionaries for DataFrame initialization
    Video lesson
  • 27
    New columns based on calculations
    Video lesson
  • 28
    Data Selection with iloc
    Video lesson
  • 29
    Data Selection with loc
    Video lesson
  • 30
    Data Filtering with Boolean Masks and Boolean Indexing
    Video lesson
Portfolio Analysis and Portfolio Management with Python
  • 31
    Pulling stock prices and OHLC data
    Video lesson
  • 32
    Quick Recap on what we did in the last chapter
    Video lesson
  • 33
    Return calculation with shift and pct_change
    Video lesson
  • 34
    Important functions: diff, dropna, rolling
    Video lesson
  • 35
    Very important argument: axis=0 or axis=1
    Video lesson
  • 36
    Quiz Time!
    Quiz
  • 37
    nlargest and nsmallest
    Video lesson
  • 38
    Bringing together Dataframes: Concat
    Video lesson
  • 39
    Combining Time Series and OHLC in general
    Video lesson
  • 40
    Resampling Data
    Video lesson
  • 41
    Resampling OHLC Data
    Video lesson
  • 42
    Plotting in Pandas
    Video lesson
  • 43
    Iterating over a dataframe: Iterrows
    Video lesson
  • 44
    Performance Comparison: Iterrows vs. Vectorization
    Video lesson
  • 45
    Return calculation deep dive
    Video lesson
  • 46
    Your turn!
    Quiz
  • 47
    Practice Task: Plot the yearly returns of the S&P500
    Video lesson
  • 48
    Solution to the Practice Task: Plot yearly returns of the S&P500
    Video lesson
Introduction to Backtesting Trading Strategies
  • 49
    Portfolio Analysis Introduction
    Video lesson
  • 50
    Variance, Standarddeviation, Covariance and Correlation
    Video lesson
  • 51
    Portfolio Return and Risk
    Video lesson
  • 52
    Portfolio Expected Return and Portfolio Risk using Python
    Video lesson
  • 53
    Use the Dot Product to calculate Portfolio Return and Portfolio Risk
    Video lesson
  • 54
    Application to real data: Portfolio of Microsoft, Coca Cola and Tesla
    Video lesson
  • 55
    Efficient Frontier, Minimum Variance Portfolio and dominant Portfolios
    Video lesson
Project I: Momentum Trading Strategies
  • 56
    Introduction and the Strategy
    Video lesson
  • 57
    Coding the Trading Strategy (iterative approach)
    Video lesson
  • 58
    Vectorizing the Backtest
    Video lesson
Project II: Backtesting JPMorgans Volatility Index (VIX) based Strategy
  • 59
    Cross-sectional Momentum Part I: Survivorship Bias Handling
    Video lesson
  • 60
    Cross-sectional Momentum Part II: Constructing and Backtesting
    Video lesson
  • 61
    Time-Series Momentum
    Video lesson
Project III: Stock Market Analysis Interactive Dashboards with Streamlit
  • 62
    Backtesting JPMorgans Volatility Index (VIX) based Strategy
    Video lesson
Project IV: Machine Learning applied on Stock Data
  • 63
    Brief Intro to Streamlit
    Video lesson
  • 64
    Streamlit Portfolio Analysis Dashboard
    Video lesson
  • 65
    Streamlit Dashboard showing the Top and Worst S&P500 Index performers
    Video lesson
Project V: An advanced guide to Backtesting and Optimization on over 500 Stocks
  • 66
    A Machine Learning Model which (potentially) outperformed the S&P500
    Video lesson
  • 67
    Least Squares Moving Average Trading Strategy
    Video lesson
Project VI: Optimizing a Portfolio based on the Sharpe Ratio
  • 68
    Iterative Approach
    Video lesson
  • 69
    Vectorized Approach
    Video lesson
  • 70
    Results Analysis
    Video lesson
Extra Chapter: Pandas & SQL
  • 71
    Recap on Matrix Operations (Expected return and Portfolio Risk)
    Video lesson
  • 72
    Optimization of Portfolio weights
    Video lesson
What I would like to give you on your way! Thank you :-)
  • 73
    The mighty Intersection between Pandas and SQL
    Video lesson
  • 74
    How to update an SQL Database with Pandas and SQL
    Video lesson
  • 75
    Build your own Finance DB using Pandas & SQL!
    Video lesson
  • 76
    Build a simple Stock recommendation System with your Finance DB
    Video lesson
  • 77
    Build an Intraday Stock Price Database with Python and SQL
    Video lesson
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Course Includes:

  • Price:$89.99$10
  • Instructor:admin
  • Duration:9 total hours
  • Lessons:1
  • Students:1118
  • Certifications:No
Get course $10 $89.99
One Time Payment Available in this plans: Premium $129.19

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