Learn Python for Data Analysis and Visualization

Real world examples of Python Pandas to analyse large data files. Create visual representations of your data.

Created by : Rated :4.3 62824 views

Last Updated: 2022-04-25 06:04:53 English Course Type: Self Learning

How-to install Python and Anaconda - the worlds largest Data Science platform.
How-to create a virtual environment using Conda.
How-to setup the free Atom Text Editor.
How to clone a GitHub Repository in Atom Text Editor.
How-to create a new branch in Atom Text Editor.
Use Python Pandas to read in large data-sets such as stock price information, customer information, purchase information and more.
Use Pandas DataFrames to work with tabular data.
Inspect datasets to gain quick valuable insights.
Use conditional filtering to select relevant information from datasets.
Using NumPy and Pandas together.
Create Pandas DataFrames from scratch.
Create DataFrames from Python dictionaries.
Using Broadcasting with DataFrames.
Correctly labeling data and columns.
Data cleansing techniques.
Using Python Pandas to create graphical plots such as bar, line, area, scatter etc.
How-to analysis datasets using statistical methods such as min, mas, mean, std.
Create filters in your code to extract targeted data from large datasets.
How-to manage time data in Python with Pandas.
Correctly index time data and create DateTime indexes.
Partial String Indexing and slicing.
Resampling Pandas Time Data.
Method Chaining.

Python Pandas are one of the most used libraries in Python when it comes to data analysis and manipulation. Whether in finance, scientific fields, or data science, a familiarity with Pandas is a must have. This course teaches you how to work with real-world data sets for analyzing data in Python using Pandas. Not only will you learn how to manipulate and analyse data you will also learn powerful and easy to use visualization techniques for representing your data.

This course kicks off by showing you how to get up and running using GitHub, an essential skill in your coding career. Ideally, to get the best from this course you should have some Python programming experience.

Every piece of code and dataset used in this course is available to download for free from GitHub.

Without doubt this course will teach you the necessary skills to apply basic data science techniques which are use the world over by experienced data scientists and those who spend their working day in spreadsheets.

You will need a desktop computer or laptop with Internet connection.
Some prior coding experience with Python would be beneficial or maybe have done a Python introduction course.
This course will walk you through installing all the necessary software and tools. Included is, how-to setup Python and Anaconda, how-to setup Atom Text Editor, how-to setup a virtual environment, how-to use GitHub and clone a repository.

Software Developers who have basic Python experience/knowledge and are looking to up-skill into the high demand area of Data Science.
Software Developers who work with spreadsheets and data-sets and would like to learn how to produce valuable insights from them.
Data Analysts operating in business who are looking to transition into Data Science by learning how to produce informative data-sets and graphs.

Section 1 : Course Introduction 2 Lectures 00:03:35
Lecture 1 :
Course Overview Preview
Lecture 2 :
How to access the source code for this course
Section 2 : Setting up Python, Anaconda, Atom and GitHub 5 Lectures 00:20:42
Lecture 1 :
Setting Python up with Anaconda
Lecture 2 :
Setting up Atom Text Editor
Lecture 3 :
Creating Virtual Environments
Lecture 4 :
How to Clone a GitHub Repository
Lecture 5 :
How to use the Atom Text Editor to push code to GitHub
Section 3 : Introduction to Python Pandas 12 Lectures 01:04:27
Lecture 1 :
Introduction to Pandas
Pandas is a library built on top of Numpy. For those of you not familiar with Numpy it is a scientific computing package for Python. For more information on Numpy visit http://www.numpy.org/. - Using pandas you can read in datasets containing information such as: - Stock Price Information - Customer information - Purchase/Sales Information In the examples to come we will be reading datasets that are in the CSV format. The main use of Pandas is to read in data and then manipulate the rows and columns of that data. We can also use Pandas to quickly grab statistical information about our data.
Lecture 2 :
Introduction to DataFrames
A DataFrame is the main way that Pandas works with tabular data files. Tabular data files are files that arrange their data in rows and columns.
Lecture 3 :
Inspecting Data
Lecture 4 :
Conditional Filtering
Lecture 5 :
Using NumPy and Pandas Together
Lecture 6 :
Creating DataFrames from NumPy
Lecture 7 :
Creating DataFrames from Dictionaries
Lecture 8 :
Using Broadcasting in Pandas
Lecture 9 :
Labeling data in a DataFrame
Lecture 10 :
Building DataFrames with Broadcasting
Lecture 11 :
Cleansing, Importing and Exporting Data
Lecture 12 :
Creating Plots with Pandas
Section 4 : Visual Data Analysis 5 Lectures 00:22:23
Lecture 1 :
Creating Graphs with Pandas Plot Lines
Lecture 2 :
Creating Graphs with Pandas Scatter Plots
Lecture 3 :
Creating Graphs with Pandas Bar Plots
Lecture 4 :
Statistical Exploratory Data Analysis
Lecture 5 :
Filtering Data
Section 5 : Managing Dates and Times with Python Pandas 8 Lectures 00:27:21
Lecture 1 :
Introduction to Pandas DateTime
Lecture 2 :
Indexing Pandas Time Series
Lecture 3 :
Creating and using a DateTimeIndex
Lecture 4 :
Resampling Pandas Time Data
Lecture 5 :
Method Chaining
Lecture 6 :
Separating and Resampling
Lecture 7 :
Additional Filtering Methods
Lecture 8 :
Visualizing Pandas Time Data

How do i access the course after purchase?
It's simple. When you sign up, you'll immediately have unlimited viewing of thousands of expert courses, paths to guide your learning, tools to measure your skills and hands-on resources like exercise files. There’s no limit on what you can learn and you can cancel at any time.
Are these video based online self-learning courses?
Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic.
Can i play & pause the course as per my convenience?
Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on.
How do i contact the instructor for any doubts or questions?
Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want.
Do i need a pc to access the course or can i do it on mobile & tablet as well?
Brilliant question? Isn't it? You can access the courses on any device like PC, Mobile, Tablet & even on a smart tv. For mobile & a tablet you can download the Learnfly android or an iOS app. If mobile app is not available in your country, you can access the course directly by visting our website, its fully mobile friendly.
Do i get any certificate for the courses?
Yes. Once you complete any course on our platform along with provided assessments by the instructor, you will be eligble to get certificate of course completion.
For how long can i access my course on the platform?
You require an active subscription to access courses on our platform. If your subscription is active, you can access any course on our platform with no restrictions.
Is there any free trial?
Currently, we do not offer any free trial.
Can i cancel anytime?
Yes, you can cancel your subscription at any time. Your subscription will auto-renew until you cancel, but why would you want to?

Tony Staunton,

62824 Course Views

1 Courses

Hi! I'm Tony. I love to read, write and teachÂ and you could definitely call me a bit of geek. I love all things to do with programming, productivity, books, and the internet. Previously I have run my own software business and won several awards from, most innovative startup to best product. After finding out the hard way just how stressful growing a startup into a business can be I have researched all things to do with productivity and I love helping others become more productive and avoid the mistakes I have made. I'm passionate about teaching and I love to hear back from my students with any questions or ideas on how to improve my courses or create new ones. My courses teach you how to programme and become moreÂ productive and you will not believe the freedom that these skills can bring.Â Sign up and find out for yourself why so many people are taking and recommendingÂ my courses. I genuinely believe that I have something to offer you and if you don't agree, I'll happily refund your money.Â Sign up to my courses and join me in this amazing adventure today.