Statistical Decision Making in Data Science with Case Study

Statistical Decision Making in Data Science with Case Study, available at Free, has an average rating of 4.55, with 14 lectures, based on 98 reviews, and has 19247 subscribers.

You will learn about Least Square Regression Build OLS in Statsmodel Hypothesis Testing t test ANOVA F Statistics Degree of Freedom of the Model Plotting Regression Line above the scatter plot (Fitted Values) Predicting Results Answer Question statistically This course is ideal for individuals who are Beginner of Python Developer who want to learn Data Science or Solving question related to linear regression It is particularly useful for Beginner of Python Developer who want to learn Data Science or Solving question related to linear regression.

Enroll now: Statistical Decision Making in Data Science with Case Study

Summary

Title: Statistical Decision Making in Data Science with Case Study

Price: Free

Average Rating: 4.55

Number of Lectures: 14

Number of Published Lectures: 14

Number of Curriculum Items: 14

Number of Published Curriculum Objects: 14

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Least Square Regression
Build OLS in Statsmodel
Hypothesis Testing
t test
ANOVA
F Statistics
Degree of Freedom of the Model
Plotting Regression Line above the scatter plot (Fitted Values)
Predicting Results
Answer Question statistically

Who Should Attend

Beginner of Python Developer who want to learn Data Science
Solving question related to linear regression

Target Audiences

Beginner of Python Developer who want to learn Data Science
Solving question related to linear regression

Welcome to the course “Statistical Decision Making in Data Science with a Case Study in Python”

This course is an introduction course where you will learn about the importance of Statisticsand Machine Learning in Decision Making. I explained this course with a case study. We start with a problem statement and data then we build the machine learning model. Building a machine learning model is really not enough but getting a decision out of machine learning is the primary goal in Data Science. For that, we will use statistics.

What you will Learn?

Understand the Problem statement (Case Study on Big Mac Index with used in Forex Industry for Predicting Dollar value)
Asking Statistical Question.
Linear Regression (Least Square Regression)
Develop Least Square Regression in Python.
Understand the Outputs
1. MSE
2. Degree of Freedom
Hypothesis testing
1. t-test for coefficient significance
2. F-test for model significance
3. ANOVA
Correlation
R-Square

You will learn the approaches towards regression with case study. First we start with understanding linear equation and the optimization function value sum of squared errors. With that we find the values of the coefficient and makes least square regression. Then we starts building our linear regression in python.

For the model we build we necessary test like hypothesis testing.

t-test for coefficient significance
ANOVA and F-test for model significance.

And finally, we answer the question statically. Hope we are seeing you inside the course !!!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Google Colab

Chapter 2: Case Study – Big Mac Index

Lecture 1: Big Mac Index Case Study Walk through

Chapter 3: Least Square Regression

Lecture 1: Least Square RegressionLinear Regression , y = a+b X and SSE

Chapter 4: Least Square Regression in Python

Lecture 1: Load Data & Scatter Plot

Lecture 2: Fitting Ordinary Least Square Regression Model in Python

Chapter 5: Hypothesis Testing to model

Lecture 1: Degree of Freedom of the Model

Lecture 2: Hypothesis testing : t – test

Lecture 3: Fitted Values

Lecture 4: Hypothesis testing : ANOVA

Lecture 5: F – Statistics in Python

Lecture 6: R Square

Lecture 7: Answers

Chapter 6: Bonus

Lecture 1: bonus

Instructors

datascience Anywhere
Team of Engineers
Sudhir G
Data Scientist
Convolution Innovations
Academy

Rating Distribution

1 stars: 4 votes
2 stars: 7 votes
3 stars: 11 votes
4 stars: 31 votes
5 stars: 45 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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