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Intermediate

Updated 2 weeks ago

Data Science Interview Handbook

The ultimate guide to data science interviews. Developed by FAANG engineers, it covers Python, algorithms, ML concepts, and interview questions. Get interview-ready in just a few hours.

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Overview

Content

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This course will increase your skills to crack the data science or machine learning interview. You will cover all the most common data science and ML concepts coupled with relevant interview questions. You will start by covering Python basics as well as the most widely used algorithms and data structures. From there, you will move on to more advanced topics like feature engineering, unsupervised learning, as well as neural networks and deep learning. This course takes a non-traditional approach to interview prep, in that it focuses on data science fundamentals instead of open-ended questions. In all, this course will get you ready for data science interviews. By the time you finish this course, you will have reviewed all the major concepts in data science and will have a good idea of what interview questions you can expect.

This course will increase your skills to crack the data science or machine learning interview. You will cover all the most commo...Show More

Content

72 Lessons205 Quizzes

Are You Ready to Become a Data Scientist?

3 Lessons

Learn how to use data science principles, processes, and advancements for solving real-world problems.

Data Science and YOU!

Data Science Process Pipeline

Advancements in Data Science

Python Basics

8 Lessons

Look at Python basics, including variables, decision-making, loops, functions, lists, dictionaries, and classes.

Introduction to Python

Python Libraries

6 Lessons

Examine essential Python libraries for data science, from NumPy to TensorFlow.

More Data Science Tools

7 Lessons

Grasp the fundamentals of essential data science tools for analysis, visualization, and model deployment.

Data Structures and Algorithms - I

7 Lessons

Deepen your knowledge of essential data structures and algorithms for effective problem-solving.

Why Data Structures and Algorithms are Important

Data Structures and Algorithms - II

4 Lessons

Follow the process of solving problems with Greedy, Divide and Conquer, Backtracking, and Dynamic Programming.

Statistics and Probability

6 Lessons

Piece together the parts of statistics, correlation, probability, random variables, and distributions.

Data Exploration

Correlation

Basics of Probability

Conditional Probability

Random Variable

Normal and Binomial Distribution

Feature Engineering

6 Lessons

Try out feature engineering techniques to enhance data quality and improve model performance.

The Need for Feature Engineering

Numerical Features

Categorical Features

Date and Time Features

Missing Data

Putting Everything Together!

Basics of Machine Learning

3 Lessons

Unpack the core of machine learning problems, model performance evaluation, and enhancement strategies.

Types of ML Problems

Measuring ML Model Performance

Improving ML Model Performance

10.

Regression

5 Lessons

Break apart regression principles, from simple to nonparametric, while mastering model assessment metrics.

Simple Regression

Multiple Regression

Regularized Regression

Nonparametric Regression

Regression Model Assessment

11.

Classification

7 Lessons

Find out about classification techniques, including linear classifiers, logistic regression, and decision trees.

Classification Model Assessment

12.

Unsupervised Learning

4 Lessons

Take a closer look at various clustering methods and nearest neighbor search in unsupervised learning.

Nearest Neighbors

KMeans Clustering

Probabilistic Clustering

Hierarchical Clustering

13.

Advanced Topics in Machine Learning

4 Lessons

Tackle Neural Networks, Deep Learning issues, Recommendation Engines, and Natural Language Processing advancements.

Neural Network and Deep Learning

Issues in Deep Learning

Recommendation Engines

Natural Language Processing

14.

Conclusion

2 Lessons

Master the steps to begin your data science career, with emphasis on continuous learning.

This is The Beginning!

Mega Quiz

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

AI Learner Hub

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

Trusted by 2.7 million developers working at companies

"These are high-quality courses. Trust me. I own around 10 and the price is worth it for the content quality. EducativeInc came at the right time in my career. I'm understanding topics better than with any book or online video tutorial I've done. Truly made for developers. Thanks"

Anthony Walker

@_webarchitect_

"Just finished my first full #ML course: Machine learning for Software Engineers from Educative, Inc. ... Highly recommend!"

Evan Dunbar

ML Engineer

"You guys are the gold standard of crash-courses... Narrow enough that it doesn't need years of study or a full blown book to get the gist, but broad enough that an afternoon of Googling doesn't cut it."

Software Developer

Carlos Matias La Borde

"I spend my days and nights on Educative. It is indispensable. It is such a unique and reader-friendly site"

Souvik Kundu

Front-end Developer

"Your courses are simply awesome, the depth they go into and the breadth of coverage is so good that I don't have to refer to 10 different websites looking for interview topics and content."

Vinay Krishnaiah

Software Developer

Hands-on Learning Powered by AI

See how Educative uses AI to make your learning more immersive than ever before.

Personalized Interview Prep

Skip the LeetCode grind with a custom roadmap that adapts to your goals. Hands-on practice for Coding Interviews, System Design, and more.

Mock Interviews

Test your skills in a simulated interview setting. Receive personalized feedback based on your performance. Available for Coding Interviews, System Design, and more.

AI Prompt

Build prompt engineering skills. Practice implementing AI-informed solutions.

Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

Explain with AI

Select any text within any Educative course, and get an instant explanation — without ever leaving your browser.

AI Code Mentor

AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!

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Machine Learning with NumPy, pandas, scikit-learn, and More

Delve into practical machine learning with NumPy, pandas, scikit-learn, and more. Gain insights into data analysis, feature engineering, and deep learning using industry-standard frameworks. Basic Python required.

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D3 Tips and Tricks: Interactive Data Visualization

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