Data Science Interview Preparation – Career Guide

Data Science Interview Preparation – Career Guide, available at $54.99, has an average rating of 4.65, with 23 lectures, based on 74 reviews, and has 1226 subscribers.

You will learn about Create a great data science resume! Understand various positions and titles available in the data science ecosystem Build an understanding of good experiment design Get practice with probability and statistics interview question This course is ideal for individuals who are Anyone who wants to prepare for a Data Science Interview or Anyone interested in a career in Data Science It is particularly useful for Anyone who wants to prepare for a Data Science Interview or Anyone interested in a career in Data Science.

Enroll now: Data Science Interview Preparation – Career Guide

Summary

Title: Data Science Interview Preparation – Career Guide

Price: $54.99

Average Rating: 4.65

Number of Lectures: 23

Number of Published Lectures: 23

Number of Curriculum Items: 23

Number of Published Curriculum Objects: 23

Original Price: $69.99

Quality Status: approved

Status: Live

What You Will Learn

Create a great data science resume!
Understand various positions and titles available in the data science ecosystem
Build an understanding of good experiment design
Get practice with probability and statistics interview question

Who Should Attend

Anyone who wants to prepare for a Data Science Interview
Anyone interested in a career in Data Science

Target Audiences

Anyone who wants to prepare for a Data Science Interview
Anyone interested in a career in Data Science

You May Have Some Knowledge in Data Science But In Interview the Interviewer ask some tricky questions to the Applicant. In most of the Cases the Candidate do not able to Handle such questions.

This is why We make the Course!

If you are Going for an Data Science Interview this Course is For You
If you Don’t Know How to Prepare your CV for the Interview This Course Also Helps you!
We cover the Tricky Questions for Data Science with Explanation.

According to Glassdoor, a career as a Data Scientist is the best job in America! With an average base salary of over $120,000, not only do Data Scientists earn fantastic compensation, but they also get to work on some of the world’s most interesting problems! Data Scientist positions are also rated as having some of the best work-life balances by Glassdoor. Companies are in dire need of filling out this unique role, and you can use this course to help you rock your Data Scientist Interview!�

Course Curriculum

Chapter 1: Introduction to Data Science Interview

Lecture 1: Choose Your Role

Lecture 2: Roadmap You have to Follow!

Chapter 2: Get Job Fast – Resume Building PRO Tips!

Lecture 1: PRO Resume Building Tips

Chapter 3: Statistics QUIZ

Lecture 1: QUIZ – Statistics Part 1

Lecture 2: QUIZ – Statistics Part 2

Lecture 3: QUIZ – Statistics Part 3

Chapter 4: Linear Regression QUIZ

Lecture 1: QUIZ – Linear Regression

Chapter 5: Logistics Regression QUIZ

Lecture 1: QUIZ – Logistics Regression

Chapter 6: SVM QUIZ

Lecture 1: QUIZ – SVM

Chapter 7: KNN QUIZ

Lecture 1: QUIZ – KNN

Chapter 8: QUIZ – Decision Tree

Lecture 1: QUIZ – Decision Tree

Chapter 9: QUIZ – Clustering

Lecture 1: QUIZ – Clustering

Chapter 10: QUIZ – PCA

Lecture 1: QUIZ – PCA

Chapter 11: Tips For Your Interview

Lecture 1: Tips For Your Interview

Chapter 12: Let's Start the Interview!

Lecture 1: Technical Q&A – Statistics and Hypothesis Testing

Lecture 2: Technical Q&A – Data Cleaning

Lecture 3: Technical Q&A – Data Exploration

Lecture 4: Technical Q&A – Model Building

Lecture 5: Technical Q&A – Model Evaluation

Lecture 6: Technical Q&A – Generic Machine Learning

Lecture 7: Technical Q&A – Big Data

Chapter 13: Download the Interview PDF

Lecture 1: Download the Interview PDF

Chapter 14: Bonus – Join Our Private Facebook and Telegram Group ($497 Value)

Lecture 1: $497 Value Inside

Instructors

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Rating Distribution

1 stars: 2 votes
2 stars: 0 votes
3 stars: 5 votes
4 stars: 33 votes
5 stars: 34 votes

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