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Bite-Sized Data Science with Python and Pandas: Introduction

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Bite-Sized Data Science with Python and Pandas: Introduction, available at $19.99, has an average rating of 4.2, with 24 lectures, based on 23 reviews, and has 131 subscribers.

You will learn about Manipulate and transform data series and tables in Python Build a multiple regression model in Python Use iPython Notebook for research and analysis in Python Visualize data to glean insights from it, in Python This course is ideal for individuals who are This course is best suited for students who already have a basic understanding of both Python and statistics or This course is for students who like learning with real-life, concrete examples, and following along by programming on their own computers or This course is for students who want to learn the basics of data manipulation and visualization, and statistical model building in Python It is particularly useful for This course is best suited for students who already have a basic understanding of both Python and statistics or This course is for students who like learning with real-life, concrete examples, and following along by programming on their own computers or This course is for students who want to learn the basics of data manipulation and visualization, and statistical model building in Python.

Enroll now: Bite-Sized Data Science with Python and Pandas: Introduction

Summary

Title: Bite-Sized Data Science with Python and Pandas: Introduction

Price: $19.99

Average Rating: 4.2

Number of Lectures: 24

Number of Published Lectures: 24

Number of Curriculum Items: 24

Number of Published Curriculum Objects: 24

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

  • Manipulate and transform data series and tables in Python
  • Build a multiple regression model in Python
  • Use iPython Notebook for research and analysis in Python
  • Visualize data to glean insights from it, in Python

Who Should Attend

  • This course is best suited for students who already have a basic understanding of both Python and statistics
  • This course is for students who like learning with real-life, concrete examples, and following along by programming on their own computers
  • This course is for students who want to learn the basics of data manipulation and visualization, and statistical model building in Python

Target Audiences

  • This course is best suited for students who already have a basic understanding of both Python and statistics
  • This course is for students who like learning with real-life, concrete examples, and following along by programming on their own computers
  • This course is for students who want to learn the basics of data manipulation and visualization, and statistical model building in Python

Learn the basics of data science with Python, with this short course designed for students to follow along, and built around a concrete, real-world dataset.

Listening to theoretical examples is never fun, and I’ve always liked actually applying what I learn to concrete examples, so this course is built around us analyzing a real-life dataset together. The dataset we’ll be using is the “Parkinson’s Disease Telemedicine dataset”, and our goal will be to see if we can predict the severity of Parkinson’s Disease in patients from just a dozen simple measurements, which would be a vast improvement over the current time consuming process that doctors and patients have to go through.

This course will provide a good introduction to several different aspects of data science, and all in Python, one of the most popular and powerful languages used by data scientists today.

You’ll learn how to:

– Set up your data analysis research environment (in an iPython notebook)

– Visualize the data to understand it better

– Manipulate and transform data to prepare it for modeling

– Apply a statistical model to the data

The course is comprised of short lectures which walk you through the data analysis, as you follow along. There are also several coding exercises throughout to test your knowledge!

Check out the course to learn data science with Python today!

Course Curriculum

Chapter 1: Welcome, information about this course

Lecture 1: Introduction

Chapter 2: Setting up Python and Libraries

Lecture 1: If you already have Python installed

Lecture 2: File and command to install all necessary libraries at once, with pip

Lecture 3: Links to help you install pip

Lecture 4: The libraries, explained

Lecture 5: If you want to install Python and the libraries at once

Chapter 3: Our data set: the Parkinson's Telemedicine Dataset

Lecture 1: Downloading the data

Lecture 2: A quick explanation of the dataset

Chapter 4: Starting our analysis

Lecture 1: Starting a new iPython Notebook

Lecture 2: Loading the data into our iPython Notebook

Chapter 5: Manipulating data with pandas, the data analysis library

Lecture 1: DataFrames are data tables

Lecture 2: Series are single rows or columns of data

Lecture 3: Slicing DataFrames to get the data we need

Lecture 4: Keeping track of the variable names we need

Lecture 5: Coding Exercise: summary statistics

Chapter 6: Visualizing the data to understand it better before modeling

Lecture 1: Looking at the data's distributions with box plots and histograms

Lecture 2: Seeing multicolinearity with a scatter plot matrix

Lecture 3: Coding exercise: a single correlation

Chapter 7: Transforming the data to prepare it for modeling

Lecture 1: Taking care of multicolinearity

Lecture 2: Log transforming data to take care of skewed distributions

Lecture 3: Coding exercise: practicing apply()

Chapter 8: Modeling the data

Lecture 1: Applying a multiple regression to answer the ultimate question

Chapter 9: Conclusion

Lecture 1: Thank you

Lecture 2: Download the data and iPython notebook that was used throughout this lecture

Instructors

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  • 3 stars: 5 votes
  • 4 stars: 4 votes
  • 5 stars: 13 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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