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Grokking Data Science

Name: Grokking Data Science
Author: Samia Khalid

Estimated completion time: 10h

Certificate Included

course by:

Samia Khalid

Beginner

Lessons

Quizzes

Challenges

Playgrounds

Code Snippets

208

Illustrations

Course Overview

Master the skills that can get you a $100K+ salary even if you bunked your statistics classes. This course is your comprehensive guide to getting your start as a data scientist. 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. ...

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Contents
Learning Experience
Course Contents
1. Python Fundamentals for Data Science
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
2. The Fundamentals of Statistics
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
3. Machine Learning 101
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
4. End-to-End Machine Learning Project
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
5. The Real Talk
How to Get That High-Paying Job
Imposter Syndrome
Final Thoughts
How you will learn?
Faster than videos
Videos are holding you back. The average video tutorial is spoken at 150 words per minute, while you can read at 250. That's why our courses are text-based.
Hands-on coding environments
You don’t get better at swimming by watching others. Coding is no different. Practice as you learn with live code environments inside your browser.
No set-up required
Start learning immediately instead of fiddling with SDKs and IDEs. It‘s all on the cloud.
Progress you can show
Built in assessments let you test your skills. Completion certificates let you show them off.