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Data Processing with Python

Learn how to use Python and Pandas for cleaning and reorganizing huge amounts of data.
3.9
3.9/5
(1,550 reviews)
11,491 students
Created by

8.4

CourseMarks Score®

7.9

Freshness

7.6

Feedback

9.1

Content

Platform: Udemy
Price: $12.99
Video: 3h 46m
Language: English
Next start: On Demand

Top Python courses:

Detailed Analysis

CourseMarks Score®

8.4 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

7.9 / 10
This course was last updated on 10/2019.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

7.6 / 10
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.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.1 / 10
Video Score: 8.1 / 10
The course includes 3h 46m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 7 hours 24 minutes of 1,300 Python courses on Udemy.
Detail Score: 9.4 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

17 articles.
17 resources.
0 exercise.
0 test.

Table of contents

Description

Data scientists spend only 20 percent of their time on building machine learning algorithms and 80 percent of their time finding, cleaning, and reorganizing huge amounts of data. That mostly happen because many use graphical tools such as Excel to process their data. However, if you use a programming language such as Python you can drastically reduce the time it takes for processing your data and make them ready for use in your project. This course will show how Python can be used to manage, clean, and organize huge amounts of data.
This course assumes you have basic knowledge of variables, functions, for loops, and conditionals. In the course you will be given access to a million records of raw historical weather data and you will use Python in every single step to deal with that dataset. That includes learning how to use Python to batch download and extract the data files, load thousands of files in Python via pandas, cleaning the data, concatenating and joining data from different sources, converting between fields, aggregating, conditioning, and many more data processing operations. On top of that, you will also learn how to calculate statistics and visualize the final data. The course also covers a series of exercises where you will be given some sample data then practice what you learned by cleaning and reorganizing those data using Python.

You will learn

✓ 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.

Requirements

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

This course is for

• 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.

How much does the Data Processing with Python course cost? Is it worth it?

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.
The average price is $19.0 of 1,300 Python courses. So this course is 32% cheaper than the average Python course on Udemy.

Does the Data Processing with Python course have a money back guarantee or refund policy?

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.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Data Processing with Python course, but there is a $7 discount from the original price ($19.99). So the current price is just $12.99.

Who is the instructor? Is Ardit Sulce a SCAM or a TRUSTED instructor?

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, Ardit Sulce is a TRUSTED instructor.
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.

8.4

CourseMarks Score®

7.9

Freshness

7.6

Feedback

9.1

Content

Platform: Udemy
Price: $12.99
Video: 3h 46m
Language: English
Next start: On Demand

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