Grokking Data Science

Gain insights into data science with easy-to-follow, hands-on explanations. Explore essential concepts quickly and efficiently, even without prior statistics knowledge, for a career boost.

Beginner

59 Lessons

10h

Certificate of Completion

Gain insights into data science with easy-to-follow, hands-on explanations. Explore essential concepts quickly and efficiently, even without prior statistics knowledge, for a career boost.

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

Course Content

Python Fundamentals for Data Science

Step through Python basics, NumPy, Pandas, and foundational data visualization techniques.

Creating the Workspace - Jupyter Notebooks

Python Libraries

Learning NumPy - An Introduction

NumPy Basics - Creating NumPy Arrays and Array Attributes

NumPy Basics - Array Indexing and Slicing

NumPy Basics - Reshaping and Concatenation

NumPy Arithmetic and Statistics - Computations and Aggregations

NumPy Arithmetic and Statistics - Comparison and Boolean Masks

Exercises: NumPy

Learning Pandas - An Introduction

Pandas Core Components - The Series Object

Pandas Core Components - The DataFrame Object

Pandas DataFrame Operations - Read, View and Extract Information

Pandas DataFrame Operations - Selection, Slicing, and Filtering

Pandas DataFrame Operations - Grouping and Sorting

Pandas DataFrame Operations - Dealing With Missing and Duplicates

Pandas DataFrame Operations - Pivot Tables and Functions

Pandas: Further Readings and Cheat Sheet

Exercises: Pandas

Data Visualization - An Introduction

Data Visualization - Matplotlib Tips

Data Visualization Techniques - Scatter, Line, and Histogram

Data Visualization Techniques - Bar and Box Plot

Data Visualization Cheat Sheet

Quiz: Data Visualization

The Fundamentals of Statistics

Discover the logic behind statistical analysis, probability concepts, distributions, and significance.

Introduction

Statistical Features - Basics

Statistical Features - Working With Box Plots

Basics of Probability

Bayesian Statistics

Probability Distributions - An Introduction

Types of Distributions - Uniform, Bernoulli, and Binomial

Types of Distributions - Normal

Types of Distributions - Poisson and Exponential

Probability Distributions Recap

Statistical Significance

Quiz: Statistics

Machine Learning 101

Explore fundamental concepts, algorithms, model evaluation, and project execution in machine learning.

Introduction

Understanding Machine Learning

Types of Machine Learning Algorithms

Machine Learning Algorithms I

Machine Learning Algorithms II

Quiz: Machine Learning Algorithms

Evaluating a Model

Quiz: Evaluating a Model

Key Points to Remember

Machine Learning Project Checklist

End-to-End Machine Learning Project

Break down the steps to conduct an end-to-end machine learning project systematically.

Introduction

Kaggle Challenge - Exploratory Data Analysis

Kaggle Challenge - Data Preprocessing

Kaggle Challenge - Data Transformation

Kaggle Challenge - Machine Learning Models

Kaggle Challenge - Fine Tune Parameters

Kaggle Challenge - Present, Launch and Maintain the System

Assignment

Further Study Material

The Real Talk

Map out the steps for achieving career success, overcoming imposter syndrome, and continuous growth.

How to Get That High-Paying Job

Imposter Syndrome

Final Thoughts

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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Explain with AI

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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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