Financial Modeling & Analysis

Manage Finance Data with Python & Pandas: Unique Masterclass free download

Manage Finance Data with Python & Pandas: Unique Masterclass . Step into Financial Analyst role and give advice on a client´s financial Portfolio (Final Project) Import large Financial Datasets / historical Prices from Web Sources and analyze, aggregate and visualize them . Calculate Return, Risk, Correlation and Rolling Statistics for Stocks, Indexes and Portfolios . Create Interactive Price Charts with Technical Indicators (Volume, OHLC, Candlestick, SMA etc.) Create Financial Indexes (price-, equal- and value-weighted) and understand the difference between Price Return and Total Return . Intuitively understand Modern Portfolio Theory (CAPM, Beta, Alpha, CML, SML, Risk Diversification)

What you’ll find out in Manage Money Information with Python & & Pandas: Special Masterclass

  1. Enter the Financial Analyst function and give suggestions on a client ´ s monetary Profile (Final Task)
  2. Import big Financial Datasets/ historical Prices from Internet Sources as well as evaluate, accumulated and imagine them
  3. Determine Return, Risk, Connection as well as Rolling Statistics for Supplies, Indexes and also Portfolios
  4. Create, evaluate as well as maximize financial Portfolios and comprehend making use of the Sharpe Ratio
  5. With ease comprehend Modern Portfolio Theory (CAPM, Beta, Alpha, CML, SML, Danger Diversity) with Real Information examples
  6. Produce Interactive Rate Charts with Technical Indicators (Volume, OHLC, Candlestick, SMA etc)
  7. Develop Financial Indexes (price-, equal- as well as worth- heavy) and also recognize the difference in between Cost Return and also Complete Return
  8. Conveniently switch over in between day-to-day, regular, month-to-month and yearly returns and also understand the advantages of log returns
  9. Begin with Absolutely no and discover all the Basics of the effective Pandas Library


The Financing and Investment Sector is experiencing a remarkable adjustment driven by ever-increasing handling power & & connectivity and the introduction of effective Artificial intelligence tools. The Money and also Financial Investment Market is more and more moving from a math/formula-based company to a data-driven organization.

What can you do to keep pace?

No matter if you intend to dive deep right into Artificial intelligence, or if you simply intend to raise performance at the office when handling Financial Information, there is the extremely first and crucial action: Leave Excel behind as well as manage your Financial Information with Python as well as Pandas!

Pandas is the Excel for Python as well as learning Pandas from the ground up is practically as very easy as discovering Excel. Pandas seems to be a lot more complicated at an initial glance, as it just uses a lot extra capabilities. The workflows you are used to do with Excel can be done with Pandas extra efficiently. Pandas is a top-level coding collection where all the hardcore coding stuff with loads of coding lines are running automatically in the background. Pandas procedures are typically carried out in one line of code! However, it is essential to discover as well as understand Pandas in a way that

Who this course is for:

  • Investment & Finance Professionals who want to transition from Excel into Python to boost their careers and working efficiency.
  • (Finance) Students and Researchers who need to handle large datasets and reached the limits of Excel.
  • Data Scientists who want to improve their Data Handling/Manipulation skills (in particular for Time Series Data)
  • Everyone who want to step into (Financial) Data Science. Pandas is Key to everything.
  • Everyone curious about how Financial Performance is measured and how (Stock) Indexes and Portfolios are created, analyzed, visualized and optimized. It´s the easiest way to understand the concepts with data examples rather than theories and formulas.
File Name :Manage Finance Data with Python & Pandas: Unique Masterclass free download
Content Source:udemy
Genre / Category:Finance & Accounting
File Size :5.56 gb
Publisher :Alexander Hagmann
Updated and Published:06 Jun,2022

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