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Python and Statistics for Financial Analysis Coursera

Highlights
Tuition fee
Free
Free
Unknown
Tuition fee
Free
Free
Unknown
Duration
1 months
Duration
1 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

This Python and Statistics for Financial Analysis offered by Coursera in partnership with The Hong Kong University of Science and Technology combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data.

Overview

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. 

Key facts

By the end of the Python and Statistics for Financial Analysis offered by Coursera in partnership with The Hong Kong University of Science and Technology, you can achieve the following using python:

  • Import, pre-process, save and visualize financial data into pandas Dataframe
  • Manipulate the existing financial data by generating new variables using multiple columns
  • Recall and apply the important statistical concepts (random variable, frequency, distribution, population and sample, confidence interval, linear regression, etc. ) into financial contexts
  • Build a trading model using multiple linear regression model 
  • Evaluate the performance of the trading model using different investment indicators

Skills you'll gain

  • Computer Programming
  • Data Analysis
  • Finance
  • Probability & Statistics
  • Python Programming
  • General Statistics
  • Data Visualization

Programme Structure

Courses include:

  • Visualizing and Munging Stock Data
  • Random variables and distribution
  • Sampling and Inference
  • Linear Regression Models for Financial Analysis

Key information

Duration

  • Part-time
    • 1 months

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Intermediate Level

  • You will get the most out of the course if you have basic knowledge in probability.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free

Additional Details

  • Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
  • $59/month, cancel anytime or $399/year with 14-day money-back guarantee

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved.

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