Learn Pandas (Python 3) And Become A Data Ninja introduces you to the Pandas module/library. It has very quickly grown in functionality, to the point that more companies are relying on it for their data analysis needs. As a result, many of these companies need a data ninja! An expert in data and data analysis!
Let me tell you what you will learn. In the Intro to Pandas section, you'll learn about the two objects that are the basis of pandas. (Series and DataFrame). In the prepare your data section, I show you how to read .csv and xlsx files, combine dataframes, how to deal with missing data, how to merge, how to order your columns, and much more. In the Time Series section, I go over some time related classes (TimeStamp/DatetimeIndex), how to covert to timestamp, and how to read (pd.read_csv) when dealing with time related data. In the visualization section, you'll learn how to make a scatter plot and pie plot. Finally, I will also introduce you to Numpy.
Finally, you have nothing to lose. No risk! You get a 30 day money back guarantee + the course for life (including any new content added after you enroll)!
Enroll now! Your future looks brighter with Pandas (Python 3).
We look at the Series object.
We look at DataFrame object..the focus of this course!
A quiz on Series and DataFrame objects.
Here I show you how to read csv and xlsx files. When reading csv, we use, pd.read_csv or pandas.read_csv
Learn how to combine two DataFrames!
Learning how to deal with missing data is a vital step to prepare your data.
Here we will look at merging two DataFrames and the different ways about going about it.
You have your data but you really want to change some of the values, or multiple values at the same time! I'll show you how!
Here I show you how to creating new columns using the mapping method.
If you want to put your column names in a specific order, you'll find out how to do it in this lesson!
This may be the most simple lesson so far..it is super simple to drop columns/rows!
In this lesson, you will learn how to produce summary statistics. I use a real dataset in this lesson. You'll also reinforce some of your earlier learning, and learn some new things. One new thing you'll learn is how to create a groupby object.
A quiz for the 'Preparing Your Data" section.
Here I talk about Timestamps and DateTimeIndex. Understanding the time related classes is valuable to everyone but can be especially important to understand for those in the financial sector.
Here I show you how you covert to a Timestamp.
Here I show you how to read a csv file when you are dealing with Time Series data. (pd.read_csv)
I will show you the basic ways to create numpy arrays.
Here I show you the basic operations that you can perform!
Slicing and Indexing is one of the most vital skills to have..this allows you to focus on particular data that you want.
The success and fun I had with statistics based courses in University has resulted in my current teaching interests. My interest in data and statistics boils down to my passion for finding the objective truth, and applying these findings in life and business. Currently, I teach five courses. A Statistics course, a SAS course in English, a SAS course in Portuguese (with subtitles, but English instruction), a SAS SQL course, and a Pandas (Python 3 ) course.
O sucesso e diversão que eu tive durante meus cursos de estatística na Universidade resultaram em meu interesse em ensinar. Meu interesse em dados e estatística vêm de minha paixão por encontrar verdades objetivas, e aplicar estas descobertas na vida e no negócio. Atualmente, eu ensino quatro cursos. Um curso de Estatística, um curso de SAS em inglês, um curso de SAS em português (com legendas, mas instruções em inglês) e um curso de Pandas (Python 3).