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Python and Statistics for Financial Analysis
Intermediate
Online
1 Weeks
2,699 INR Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Coursera |
Python and Statistics for Financial Analysis fee structure is -
| Head | Amount in INR |
| Course Fees | Rs. 2,699 |
The Syllabus
Videos
- Course overview
- 1.0 Module Introduction
- 1.1 Packages for Data Analysis
- 1.2 Importing data
- 1.3 Basics of Dataframe
- 1.4 Generate new variables in Dataframe
- 1.5 Trading Strategy
Readings
- Grading Criteria
- Getting started with Jupyter Notebook
- pd.read_csv or pd.DataFrame.from_csv
assignment
- Quiz 1
discussion prompt
- Meet and Greet
ungraded labs
- Importing data from CSV files into Jupyter Notebook
- Basics of DataFrame
- Create features and columns in DataFrame
- Build a simple trading strategy
Videos
- 2.0 Module Introduction
- 2.1 Outcomes and Random Variables
- 2.2 Frequency and Distributions
- 2.3 Models of Distribution
assignment
- Quiz 2
ungraded labs
- Outcomes and Random Variables
- Frequency and Distributions
- Models of stock return
Videos
- 3.0 Introduction
- 3.1 Population and Sample
- 3.2 Variation of Sample
- 3.3 Confidence Interval
- 3.4 Hypothesis Testing
Readings
- P-value
assignment
- Quiz 3
ungraded labs
- Population and Sample
- Variation of Sample
- Confidence Interval
- Hypothesis Testing
Videos
- 4.0 Introduction
- 4.1 Association of random variables
- 4.2 Simple linear regression model
- 4.3 Diagnostic of linear regression model
- 4.4 Multiple linear regression model
- 4.5 Evaluate the strategy
Readings
- Please rate this course!
assignment
- Quiz 4
- Post-course survey
ungraded labs
- Association between two random variables
- Simple linear regression model
- Diagnostic of linear regression model
- Build the trading model by yourself!
- Evaluating strategy built from Regression model