Monday 16 January 2017

85% off #Data Analysis with Python & Pandas – $10

Learn Python for data analysis and visualization by analyzing large datasets. Covering Python 3, Pandas, and Seaborn.

All Levels,  –   5.5 hours,  70 lectures 

Average rating 4.4/5 (4.4 (381 ratings) Instead of using a simple lifetime average, Udemy calculates a course’s star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.)

Course requirements:

A working computer (Windows, Mac, or Linux)
No prior knowledge of Python is required

Course description:

This Python course will get you up and running with using Python for data analysis and visualization. You will learn how to handle, analyze and visualize data in Python by actually completing two big data analysis projects, one demonstrated through videos and another laid out through six exercises.  

The course assumes you have no prior knowledge of Python, so you also get to learn the basics of Python in the first two sections of the course. However, if you already know Python, the first two sections can serve as a refresher before you jump into the data analysis and visualization part.

In the course you will learn to use Python third-party data analysis libraries such as Pandas, Matplotlib, Seaborn, just to mention a few and tools to boost your productivity such as Spyder and Jupyter.

As you progress through the course, you will be guided step by step on building a program that uses real world data containing hundreds of files and millions of records. You will learn to write Python code that downloads, extracts, cleans, manipulates, aggregates and visualizes these datasets using Python. Apart from following the video screencasts, you will also be required to write your own Python scripts from scratch for completing a data analysis project on income data.

Full details
Build 10 advanced Python scripts which together make up a data analysis and visualization program.
Solve six exercises related to processing, analyzing and visualizing US income data with Python.
Learn the fundamental blocks of the Python programming language such as variables, datatypes, loops, conditionals, functions and more.
Use Python to batch download files from FTP sites, extract, rename and store remote files locally.
Import data into Python for analysis and visualization from various sources such as CSV and delimited TXT files.
Keep the data organized inside Python in easily manageable pandas dataframes.
Merge large datasets taken from various data file formats.
Create pivot tables in Python out of large datasets.
Perform various operations among data columns and rows.
Query data from Python pandas dataframes.
Export data from Python into various formats such as TXT, CSV, Excel, HTML and more.
Use Python to perform various visualizations such as time series, plots, heatmaps, and more.
Create KML Google Earth files out of CSV files.

Full details
Those who come from any technology field that deals with any kind of data.
Those who want to leverage the power of the Python programming language for handling data.
Those who need to learn Python basics and want to quickly advance their skills by learning how to perform data cleaning, analysis and visualization with Python – all in one single course.
Those who want to switch from programming languages such as Java, C, R, Matlab, etc. to Python.

Full details

Reviews:

“To the point and very fast so relies on good concentration and background with other languages but you can replay if you want to go slower. Information accurate but I would like a bit more context on tricky points but this may slow fast learners down 4 .5 stars (1 only give 5 stars very occasionally)” (Clive Lee)

“I really enjoyed this course. The instructor is very knowledgeable, and explains
the material in a very thoughtful way.” (Todd Janczak)

“I am really happy with the course. I’m a GIS Specialist, and this is far better for me than the instructor-led ESRI Python training. I’m really motivated to learn more now thanks to Ardit.” (Grant Huntington)

 

 

About Instructor:

Ardit Sulce

Ardit received his master’s degree in Geospatial Technologies from the Institute of Geoinformatics at University of Muenster, Germany. He also holds a Bachelor’s degree in Geodetic Engineering.
Ardit offers his expertise in Python development on Upwork where he has worked with companies such as the Swiss in-Terra,  Center for Conservation Geography, and Rapid Intelligence. He is the founder of PythonHow where he authors written tutorials about the Python programming language.

Instructor Other Courses:

Interactive Data Visualization with Python & Bokeh Ardit Sulce, Python and GIS Expert, Founder of PythonHow.com (52) $10 $95
The Python Mega Course: Build 10 Real World Applications
Python for Beginners with Examples
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