Managing Financial Data using Python

Regular price Rs.4,499.00


Basic Info : Managing Financial Data using Python
Level : Advanced
Commitment  : 8 hours
Language : English
Scheduled Date : To Be Announced Soon

What Will I Learn

The program on Managing Financial Data using Python is designed for anyone looking to learn this field, or planning to start their careers in Managing Financial Data using Python in the future. It inspires anyone toward a successful Managing Financial Data using Python career, by focusing on applying Python for working on financial data. This course offers unparalleled insights into the world of Managing Financial Data using Python. It follows a course structure designed by leading experts in Managing Financial Data using Python.


Curriculum

Introduction to Importing financial data using excel

  • Reading, and cleaning up CSV data
  • Importing Stock listing data
  • How to fix and clean up data
  • Read data from Excel
  • Combining data from multiple worksheets

Importing financial data from websites

  • Using Data reader to access financial data online
  • Obtaining stock data for 1 company
  • Using Data reader to get current market prices
  • Obtaining stock data for top companies per industry/sector
  • Comparing performance

Summarizing your data and visualizing the result

  • Summarize your data with descriptive stats
  • List the poorest and richest countries worldwide
  • Global incomes: Central tendency
  • Describe the distribution of your data with quantiles
  • Using Quantile to calculate Global incomes: Dispersion
  • Calculating Deciles of the global income distribution
  • Getting all statistics using Panda's and the describe method
  • Visualize the distribution of your data
  • Using distplot
  • Summarize categorical variables

Grouping your data by category

  • Aggregating your data by category
  • Median market capitalization by sector
  • Median market capitalization by IPO year
  • All summary statistics by sector
  • More ways to aggregate your data
  • Company value by exchange and sector
  • Calculate several metrics by sector and exchange
  • Summary statistics by category with seaborn
  • Plot IPO timeline for all exchanges using countplot
  • Global median per capita income over time - Using Seaborn
  • Calculate several metrics by sector and IPO year - using Seaborn
  • Distributions by category with seaborn
  • Calculate the Inflation trends in China, India, and the US using Seaborn
  • Calculate the Distribution of inflation rates in China, India, and the US using Seaborn

How It works

   Live Online Sessions
Each session is interactive and informative, featuring case studies, quizzes and projects

   Interact, Learn and Grow
bsevarisity.com enables you to master the concepts, interact with expert faculty and other learners and be a part of the community whilst growing.

   Get Certified
Get Certified from bsevarisity.com. Share your success with world

Training 5 or more people ?

We provide custom courses and group sessions as well. To know more about our Customized Programs, click here.

Try BSE Business