Python Interview Questions for Data Analytics & Data Science

Python Interview Questions for Data Analytics & Data Science, available at $19.99, has an average rating of 5, with 12 lectures, 4 quizzes, based on 3 reviews, and has 48 subscribers.

You will learn about Categorical variables and how to include them into model Missing values and how to handle them? What is a Correlation Matrix's role? How to check relationship between variables? How to interpret the regression analysis? How to use polynomial model? What is an overfitting? How to prevent it? This course is ideal for individuals who are Beginners in Machine Learning and Python or Students who are searching to land their first job as a data scientist It is particularly useful for Beginners in Machine Learning and Python or Students who are searching to land their first job as a data scientist.

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Summary

Title: Python Interview Questions for Data Analytics & Data Science

Price: $19.99

Average Rating: 5

Number of Lectures: 12

Number of Quizzes: 4

Number of Published Lectures: 12

Number of Published Quizzes: 4

Number of Curriculum Items: 16

Number of Published Curriculum Objects: 16

Original Price: €19.99

Quality Status: approved

Status: Live

What You Will Learn

Categorical variables and how to include them into model
Missing values and how to handle them?
What is a Correlation Matrix's role?
How to check relationship between variables?
How to interpret the regression analysis?
How to use polynomial model?
What is an overfitting? How to prevent it?

Who Should Attend

Beginners in Machine Learning and Python
Students who are searching to land their first job as a data scientist

Target Audiences

Beginners in Machine Learning and Python
Students who are searching to land their first job as a data scientist

In this course, we aim to provide you with a focused and efficient approach to preparing for data science interviews. We understand that your time is valuable, so we have carefully curated the content to cut out any unnecessary noise and provide you with the most relevant materials.

Moving beyond theory, the course will dive into a wide range of practical data science interview questions. These questions have been carefully selected to represent the types of problems frequently encountered in real-world data science roles. By practicing these questions, you will develop the skills and intuition necessary to tackle similar problems during interviews.

Throughout the course, we have filtered out any extraneous materials and focused solely on the core topics and questions that are most likely to come up in data science interviews. This approach will save you time and allow you to focus your efforts on what truly matters.

Index:

Missing values and how to handle them? (Python)
What are categorical variables and how to include them into model (Python)
What is a Correlation Matrix’s role? (Python)
How to check relationship between variables? (Python)
How to interpret the regression analysis? (Python)
How to improve the regression model results with logarithmic transformation? (Python)
How to use polynomial model? (Python)
What is an overfitting? How to prevent it? (Theory)
Supervised vs Unsupervised Learning (Theory)
Parametric and Unparametric model (Theory)

Course Curriculum

Chapter 1: Introduction and Environment Setup

Lecture 1: Introduction

Lecture 2: Setting up Colab

Lecture 3: Setting up working Environment

Chapter 2: Data Analyst Questions

Lecture 1: Categorical variables and how to include them into model

Lecture 2: Missing values and how to handle them?

Lecture 3: What is a Correlation Matrix's role?

Lecture 4: How to check relationship between variables?

Chapter 3: Data Scientist Questions

Lecture 1: Supervised vs Unsupervised Learning & Parametric vs non-parametric Models

Lecture 2: How to interpret the regression analysis?

Lecture 3: How to improve the regression model results with logarithmic transformation?

Lecture 4: How to use polynomial model in Python

Lecture 5: Evaluation Metrics

Instructors

Ibritics Academy
Data Science Instructors

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 0 votes
4 stars: 0 votes
5 stars: 3 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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