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Mammoth Club All levels 8 sections 38 lectures

Data Science & Analysis: Make DataFrames in Pandas & Python

Learn to code in Python and analyze data using the pandas dataframe! Complete with practical projects. Learn to code.

01
Skill level
All levels
02
Sections
8
03
Lectures
38
04
Instructor
John Bura
What's inside

This course includes.

8
Sections
38
Lectures
59
Resources
Certificate of completion
Included
Mobile and desktop access
Included
AI learning assistance
Included
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Course content

Curriculum & lectures.

5 sections · 14 lectures
+ 00. Project Setup - Handling Data 1 lecture
00. Setting Up Pandas Locked
+ 01. Datastructures 3 lectures
01. Creating A Dataframe Locked
02. Sorting And Series Locked
03. Expanding A Dataframe Locked
+ 02. Manipulating DataFrames 2 lectures
01 Getting Values And Dealing With Nan Values Locked
02 Dropping Rows And Columns Locked
+ 03. Reading and Writing Data 2 lectures
01 Reading From Csv Locked
02 Writing To Csv Locked
+ 04. Analytical Approaches to Data 6 lectures
01 Starting With An Analysis Locked
02 Locating Data By Labels_V2 Locked
03 Statistical Description Of Data Locked
04 Histogram Plots In Pandas Locked
05 Starting An Analysis Of All Our Data Locked
06 Continuing An Analysis Of All Our Data Locked
Description

About this course.

This course was funded by a wildly successful Kickstarter.

Let's learn data analysis with pandas and Python! This course is suitable for coding beginners because we begin with a complete introduction to coding. Then we delve deep into using pandas, an open source library with high-performance and easy-to-use data structures and data analysis tools written for Python.

In Part 1, you learn how to use Python, a popular coding language used for websites like YouTube and Instagram. You learn the basics of programming, including topics like variables, functions, and if statements. You learn about data structures such as lists, dictionaries, and sets. We cover how to use for and while loops, how to handle user input and output, file input and output.

We apply our knowledge to build a fully functional tic-tac-toe game. You learn classes, methods, attributes, instancing, and class inheritance. We make an additional Blackjack game! You learn how to solve errors that can occur when you work as a programmer.

In Part 2, you take your Python knowledge and apply it to the pandas framework. You learn how to create and expand a dataframe. You learn how to get values from data and how to handle NaN values. You learn how to read and write data from and to the comma-separated values (CSV) file format. Then we take different approaches to analyzing data. And much more!

What Will I Learn?

  • Code in the Python 3.5 programming language.
  • Make games with Python.
  • Create and manipulate dataframes with pandas.
  • Read and write data from and to CSV.
  • Recognize analytical approaches to data, including: analyzing data, locating, making statistical descriptions and plots of data.
  • And more!
  • 21.5 hours on-demand video
Who is the target audience?
  • Absolute beginners who want to learn to code for the web and make games in the popular Python programming language.
  • Beginners who want to learn data analysis.
Requirements
  • Download Anaconda 4.2.0, the free data science platform by Continuum, which contains Python 3.5.2 and pandas 0.19.2.
  • Otherwise, you can download and install Python 3.5.2 and pandas 0.19.2 for free online.
  • Pandas deals with NumPy, so please install that as well.
  • Topics involve intermediate math, so familiarity with university-level math is very helpful.

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We prioritize learning by doing. We blend theory with practical projects to ensure you get a hands-on experience by building projects alongside your instructor. Our experienced instructors know how to explain topics clearly at a logical pace. Check out our huge catalog of courses for more content.

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Instructors

Taught by people who ship.

John Bura

John Bura

Founder and CEO of Mammoth Club and Course Pro, the #1 AI-powered Learning Management System for course and content development, training and evaluation.

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Learn to code in Python and analyze data using the pandas dataframe! Complete with practical projects. Learn to code.

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