Coursera
Coursera Logo

Python and Statistics for Financial Analysis 

  • Offered byCoursera
  • Public/Government Institute

Python and Statistics for Financial Analysis
 at 
Coursera 
Overview

Duration

12 hours

Mode of learning

Online

Difficulty level

Intermediate

Official Website

Go to Website External Link Icon

Credential

Certificate

Python and Statistics for Financial Analysis
Table of contents
Accordion Icon V3

Python and Statistics for Financial Analysis
 at 
Coursera 
Highlights

  • 50% individuals started a new career after completing these courses
  • 33% Individuals got a tangible career benefit from this course
  • Offered by The Hong Kong University of Science and Technology
  • Certification Course
Read more
Details Icon

Python and Statistics for Financial Analysis
 at 
Coursera 
Course details

What are the course deliverables?
  • Shareable Certificates
  • Self-Paced Learning Option
  • Course Videos & Readings
  • Practice Quizzes
  • Graded Assignments with Peer Feedback
  • Graded Quizzes with Feedback
  • Graded Programming Assignments
More about this course
  • Python is now becoming the number 1 programming language for data science. Due to python's simplicity and high readability, it is gaining its importance in the financial industry. The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data.

Python and Statistics for Financial Analysis
 at 
Coursera 
Curriculum

Visualizing and Munging Stock Data

Random variables and distribution

Sampling and Inference

Linear Regression Models for Financial Analysis

Other courses offered by Coursera

– / –
3 months
Beginner
– / –
20 hours
Beginner
– / –
3 months
Beginner
– / –
2 months
Beginner
View Other 6709 Courses
Right Arrow Icon

Python and Statistics for Financial Analysis
 at 
Coursera 
Students Ratings & Reviews

4.6/5
Verified Icon10 Ratings
qna

Python and Statistics for Financial Analysis
 at 
Coursera 

Student Forum

chatAnything you would want to ask experts?
Write here...