Machine Learning and Data Science in STATA

Machine Learning and Data Science in STATA, available at $34.99, has an average rating of 3.7, with 28 lectures, based on 34 reviews, and has 1517 subscribers.

You will learn about Data Science Machine Learning Programming Language STATA Credit Risk Modelling This course is ideal for individuals who are This course is designed for people that want to learn Data Science and Machine Learning. The course is created using the statistical software STATA It is particularly useful for This course is designed for people that want to learn Data Science and Machine Learning. The course is created using the statistical software STATA.

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Summary

Title: Machine Learning and Data Science in STATA

Price: $34.99

Average Rating: 3.7

Number of Lectures: 28

Number of Published Lectures: 27

Number of Curriculum Items: 28

Number of Published Curriculum Objects: 27

Original Price: $54.99

Quality Status: approved

Status: Live

What You Will Learn

Data Science
Machine Learning
Programming Language STATA
Credit Risk Modelling

Who Should Attend

This course is designed for people that want to learn Data Science and Machine Learning. The course is created using the statistical software STATA

Target Audiences

This course is designed for people that want to learn Data Science and Machine Learning. The course is created using the statistical software STATA

Hello and welcome to the Machine Learning with STATA course. Machine Learning is influencing our daily lives and is one of the most significant aspects of technological advancements. The goal of this course is to provide you with the most up-to-date Machine Learning methodologies using STATA . It will teach you how to think about data science and machine learning in a new way. This is an excellent approach to begin a career in Machine Learning because you will learn some fundamental principles and receive practical experience. I’m thrilled to share what I know about Machine Learning using STATA with you. I assure you that it will be well worth your time and effort, and that you will gain a vital skill.

Based on our research this is the only course that uses STATA to apply Machine Learning Models in Credit Risk Scenario. Because we know that many of you are already familiar with STATA or want to be familiar, we chose it as our platform. From the beginning to the finish of the course, we will start from scratch and work together to build new abilities. In this course, we will work together to create a complete data science project utilizing Credit Risk Data from start to finish. For this course, we have information on around 40,000 consumers, including their level of education, age, marital status, where they live, if they own a home, and other pertinent information.

We’ll get our hands filthy with these numbers and dig deep into them, and you’ll be able to practice on your own. Additionally, you will have access to essential resources like as lectures, homework, quizzes, slides, and a literature analysis on modeling methodologies. Let’s see what the course structure looks like right now!

Course Curriculum

Chapter 1: Background Knowledge

Lecture 1: Introduction

Lecture 2: What is Credit Risk

Lecture 3: Expected Losses and its Components

Chapter 2: STATA and DATA

Lecture 1: Importing Data From Excel to STATA

Lecture 2: Importing Data from Excel to STATA Part 2

Lecture 3: STATA Interface

Lecture 4: Merging Data

Chapter 3: Data Visualisation

Lecture 1: Histogram Graph Combination

Lecture 2: Histogram

Lecture 3: Histogram Part 2 – Graph Editor

Lecture 4: Visualization of Categories – Male and Female

Lecture 5: Visualization of Categories- Rural vs Urban Area and Educational Level

Lecture 6: Scatter Plot Understanding

Lecture 7: Scatter Plots in Practice

Chapter 4: Data Inspection and Summarization

Lecture 1: Inspecting Data

Lecture 2: Summarizing data with sum

Lecture 3: Encoding Variables

Chapter 5: Choosing the Variables

Lecture 1: Weight of Evidence Gender

Lecture 2: Weight of Evidence Relationship Status and Education

Lecture 3: Weight of Evidence – Grade and Educational Level

Chapter 6: Coding of Continues Variables (Fine- Classing)

Lecture 1: Fine Classing – Installments Part 1

Lecture 2: Combining Installments

Lecture 3: Weight of Evidence – Installments

Chapter 7: Machine Learning

Lecture 1: Generating Dummy Variables for Gender and Relationship Status

Lecture 2: Generating Dummy Variables for Education Level and Grade

Lecture 3: Splitting the Data in Training and Testing

Lecture 4: Running the Machine Learning (Logistic Regression)

Instructors

Ed Spot
We want to change the world through data

Rating Distribution

1 stars: 1 votes
2 stars: 3 votes
3 stars: 3 votes
4 stars: 8 votes
5 stars: 19 votes

Frequently Asked Questions

How long do I have access to the course materials?

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

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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