This course was last updated on 10/2019.
We analyzed factors such as the rating (3.9/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.
✓ 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.
• A working computer (Windows, Mac, or Linux)No prior knowledge of Python is required
• 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.
The course costs $12.99. And currently there is a 35% discount on the original price of the course, which was $19.99. So you save $7 if you enroll the course now.
YES, Data Processing with Python has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.
Ardit Sulce has created 9 courses that got 110,303 reviews which are generally positive. Ardit Sulce has taught 577,956 students and received a 4.6 average review out of 110,303 reviews. Depending on the information available, we think that Ardit Sulce is an instructor that you can trust.
Python Programmer. Founder and Author, PythonHow.
Hi, I am Ardit! I am a Python programmer and teacher. I graduated in 2013 with a Master of Science in Geospatial Technologies from the University of Muenster in Germany. I have worked with companies from various countries both as an employee and self-employed using Python together with companies such as the Center for Conservation Geography to map and understand Australian ecosystems, processing orthophotos with the Swiss in-Terra, and performing data mining to gain business insights with the Australian Rapid Intelligence. I am also the founder and author of PythonHow, a Python learning resource designed particularly for people with no previous programming experience. If you are interested in Python, I would suggest the following roadmap to becoming a Python developer. Start by taking my course, The Python Mega Course: Build 10 Real World Applications and then take my other course, The Python Pro Course: Build 10 Real World OOP Programs. Both courses are listed here on my profile page. Both courses are designed around learning Python by practice rather than rote memorization. The mega course will guide you step by step, starting with Python basics and all the way to building real-world Python programs, including GUIs, web apps, web scrapers, mobile apps, etc. Once you complete that course, take the other one.The pro course will take you to a new professional level, teaching you Python from a deeper computer science perspective, covering programming logic, and giving you the skills for building complex, professional applications in an object-oriented programming (OOP) style. After you complete the second course, you can practice Python even further by remaking the 10 apps of the first mega course, but this time in OOP style. If you can manage to do that, you will be job-ready.
