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What you'll get

  • Job Credibility
  • Certification Valid for Life
  • On-demand video*
  • E-Book
  • Self-Paced Learning
  • Certificate of Completion

Exam details

  • Mode of Exam : Online
  • Duration : 1 Hour
  • Multiple Choice Questions are asked
  • No. of Questions are asked : 50
  • Passing Marks : 25 (50%)
  • There is no negative marking

Description

Welcome to the Certificate in Python for Finance online course. Do you want to learn Python for finance? If you want to be a finance expert, then you also need to learn Python fundamentals to solve financial queries. This is one of the best skill set for investment bankers, sales and trading professionals, and asset managers. In this course, you will explore many vital terms of finance in python learning. 

Python is an instrument that is crucial for analyzing and solving huge data, and it's used by data scientists for machine learning. In this course, you will analyze excel and python skills together. If you are working as a finance professional then you might have a basic understanding of excel use you will polish your excel skills with python here. But don't worry if you do not know how to work in excel because our python with finance tutorial will help you understand exch elements in a better way.

What you will learn in Python for the finance course?

  • Learning python basics
  • Getting knowledge for problem statement and business case
  • Understanding data analysis and performing tasks
  • Creating data visualization
  • Understanding interactive data visualization
  • Understanding about stock
  • Calculating daily return 
  • Analyzing return data

This is a 6-month course that comes up with comprehensive information and authentic examples. So, if you want to get this skill to make your career at the next level, then you should take this course for sure.

Course Content

Total: 64 lectures
  • The Python Programming Language
  • Technology in Finance
  • Python for Finance
  • Data-Driven and AI-First Finance
  • Conda as a Package Manager
  • Conda as Virtual Environment Manager
  • Using Docker Containers
  • Using Cloud Instances
  • Basic Data Types
  • Basic Data Structures
  • Arrays of Data
  • Regular NumPy Arrays
  • Structured NumPy Arrays
  • Vectorization of Code
  • The DataFrame Class
  • Basic Analytics
  • Basic Visualization
  • The Series Class
  • GroupBy Operations
  • Complex Selection
  • Concatenation, Joining and Merging
  • Performance Aspects
  • Look at Python Objects
  • Basics of Python Classes
  • Python Data Model
  • The Vector Class
  • Static 2D Plotting
  • Static 3d Plotting
  • Interative 2D Plotting
  • Financial Data
  • Rolling Statistics
  • Correlation Analysis
  • High-Frequency Data
  • Basic I/O with Python
  • I/O with Pandas
  • I/O with PyTables
  • I/O with TsTables
  • Loops
  • Algorithms
  • Binomial Trees
  • Monte Carlo Simulation
  • Recursive Pandas Algorithm
  • Approximation
  • Convex Optmization
  • Integration
  • Symbolic Computation
  • Random Numbers
  • Simulation
  • Valuation
  • Risk Measures
  • Python Script
  • Normality Tests
  • Portfolio Optimization
  • Bayesian Satistics
  • Machine Learning
  • The FXCM Trading Platform
  • Trading Strategies
  • Automated Trading
  • Valuation Framework
  • Simulation of Financial Models
  • Derivatives Valuation
  • Portfolio Valuation
  • Market-Based Valuation
  • Dates and Times

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