Python for Finance Crash Course

Boost your Finance career with this kickstart course in Python for Finance. Learn Pandas, NumPy, YFinance for Financial Analysis

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4 Hours 56 Mins
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Created by
Jobaaj Learnings

Course description

Introducing Python for Finance: Crash Course - one of the most interesting and quick-start courses to get started in coding for the finance industry.

Boost your finance career by developing this skill

If you are a complete beginner and you don't know anything about coding, don't worry! We will start from the very beginning. The first part of the course is appropriate for beginners and people who want to brush up on their Python skills. Once we are done with the basics, we will be able to tackle financial calculations and portfolio optimization tasks using libraries like Numpy, Pandas, and Yahoo Finance.   

Financial Data Analysis

Things only get better from here! Through the Finance portion of this course, you will learn real-world skills employers are looking for. It is important to specialize in a particular field of interest in order to become a high-paid programmer. You will learn how to get massive amounts of financial data and analyze the data using finance techniques

We will access data like:

  • Historical Price and Volume Data for one Stock

  • Setting specific Time Periods

  • Frequency Settings (Intraday)

  • Stock Splits and Dividends

  • Financial Indexes

  • Currencies / FX

  • Cryptocurrencies

  • Mutual Funds & ETFs

  • Treasury Yields

  • Stock Fundamentals, Meta Info, and Performance Metrics

  • Financials (Balance Sheet, Cashflows, P&L)

  • Put / Call Options

 

Who this course is for:

  • Aspire to become a data scientist

  • Beginners in programming

  • Finance and investment enthusiasts

  • Finance-focused programmers

  • Anyone who wants to learn how to code and practice their skills

  • Graduates and professionals in finance like CA, CS, CFA, CWA, ICWAI, MBA, FPA, and CFP.

 

Prerequisite
  • No Prerequisites
What you will Learn ?
  • Learn how to code in Python
  • Take your career to the next level
  • Work with scientific packages, like NumPy
  • Understand how to use the data analysis toolkit, Pandas
  • Use Python to solve real-world tasks
  • Carry out in-depth investment analysis
  • Use Yahoo Finance library to fetch financial Data

Lesson List

1

Getting Started with Python

Python can be used for Finance?
00:08:37
Introduction to Google Colab
00:25:00
Getting Familiar with Kaggle
00:08:16
Writing Our First Python Program
00:07:25
Tokens
00:16:23
Variable & Multiple Assignment
00:07:00
Python Datatypes
00:21:21
Operators in Python
00:13:46
2

Numpy Crash Course

Why Numpy? Numpy Array VS Python List
00:09:00
How to Use Numpy
00:14:00
Basic Operations in Numpy
00:15:00
Numpy 2D Array
00:08:00
3

Pandas Crash Course

Intro to Pandas/Tabular Data
00:12:00
Inspection of Data
00:13:00
Built-in Functions, Attributes and Methods
00:11:00
Where we can get DATA From
00:08:00
4

Importing Finance Data using Yahoo Finance

Getting Data of TESLA Stock by YFinance
00:09:29
Customising the Stock Data by YFinance
00:14:24
Stock Split and Dividends by YFinance
00:08:09
Exporting to CSV/ Excel File by YFinance
00:04:57
Importing multiples stocks and Financial Indexes Data by YFinance
00:10:56
Importing Currency Exchange & CryptoCurrency Data by YFinance
00:07:03
Importing ETFs and MF Data by YFinance
00:08:16
Stock Fundamentals, Meta Info and Performance Metrics by YFinance
00:12:05
Financials (Balancesheet, Cashflows, P&L) by YFinance
00:07:55
Put and Call Options by YFinance
00:04:02
Stream Real Time data from YFinance
00:08:28
5

Stock Market Analysis

Capstone Project Stock Market Analysis
6

BONUS

BONUS for the students!
00:02:21
Learn from the best

Jobaaj Learnings

Jobaaj Learnings offer the best in class industry-focused programs to students. 

Our trainers have several years of experience in the respective field and work with leading companies. 

We are the pioneer of a personalised micro-learning education model in India.

Why micro-learning?

A rise in digital devices, fast internet, and a rapidly changing environment has made micro-learning the demand of an hour. 

We consider it the most effective method of consuming learning content & are on a mission of making professionals habitual of upskilling by stealing little time daily from their busy lifestyle.

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