Grokking Data Science

Grokking Data Science

This data science course for beginners teaches everything you need to know about data science and contains common data science interview questions.

Beginner

59 Lessons

10h

Certificate of Completion

This data science course for beginners teaches everything you need to know about data science and contains common data science interview questions.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

56 Playgrounds
15 Challenges
5 Quizzes

This course includes

56 Playgrounds
15 Challenges
5 Quizzes

Course Overview

Master the skills that can get you a $100K+ salary even if you bunked your statistics classes. No need to waste hours and hours on browsing from one article to the next and piecing together the info you need to grasp important topics. No need to get overwhelmed by the information overload. Find easy to follow, hands-on, and fun explanations of all the essential topics in one place so you can quickly and efficiently learn what you need to thrive as a data scientist. "Is this course right for me?" Continue...Show More

TAKEAWAY SKILLS

Python

Data Science

Machine Learning

Numpy

Pandas

What You'll Learn

Learn Python fundamental libraries for data science

Learn statistics fundamentals for data science

Learn machine learning fundamentals for data science

Solve an end-to-end machine learning project

Get to know how to get the highest paying data scientist job

What You'll Learn

Learn Python fundamental libraries for data science

Show more

Course Content

1.

Python Fundamentals for Data Science

In this chapter, you will discover how to use Python tools such as Jupyter, NumPy, and Pandas for data science, and explore data visualization techniques.
2.

The Fundamentals of Statistics

This chapter explores the basics of statistics, covering probability distributions, statistical significance, and Bayesian inference for data analysis.
3.

Machine Learning 101

In this chapter, you'll learn the fundamentals of machine learning, including types, algorithms, key models, metrics, and essential concepts.
4.

End-to-End Machine Learning Project

In this chapter, you will explore managing an end-to-end machine learning project, from data analysis and preprocessing to model tuning and system maintenance.
5.

The Real Talk

In this chapter, you’ll learn how to land a high-paying Data Scientist job, tackle Imposter Syndrome, and get tips for your career journey.

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

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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.

AI-Powered Mock Interviews

Adaptive Learning

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AI Code Mentor

FOR TEAMS

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