4 Best Python Data Processing Courses [2021 OCTOBER][UPDATED]

Best python data processing course tutorial class certification training online

After conducting in-depth research, our team of 35+ global experts compiled this list of Best Four Python Data Processing Courses, Classes, Tutorials, Training, and Certification programs available online for 2021. This list includes both free and paid courses to help you learn Python Data Processing. Also, the courses in the list are ideal for Beginners, Intermediates, as well as Expert individuals.


4 Best Python Data Processing Courses [2021 OCTOBER]

1. Data Processing with Python by Nanjing University (Coursera)

This course is ideal for those candidates who don’t have significant knowledge of computers, as it will guide you to the basic syntax of Python. Taking this course will help you learn how to acquire data in Python locally and from the network, how to present data, and how to conduct basic and advanced statistical analysis and visualization of data. The entire course content is based on finance data so that learners can feel the simplicity, elegance, and robustness of Python more vividly. Completing the course with given assignments and projects will provide you with a certificate of completion signed by the University.


Key USPs –

– A practical course with improved content order and details on extensive topics to help you learn data processing in an effortless manner

– Learn how to design a simple GUI to present and process data, and then advance your skill step-by-step

– Know about the fast, convenient, and efficient data processing capacity of Python in humanities and social sciences fields, such as literature, sociology, and journalism

– Get access to multiple video lectures with subtitles, quizzes, graded assignments, practice exercises, and much more to develop your skillset

– Study from the comfort of your home with 10-days free trial of the course


Duration: 27 hours

Rating: 4.2 out of 5

You can Sign up Here



2. Complete Data Science Training with Python (Udemy)

This course is a complete guide to practical data science with Python that will help you learn statistics modeling, data visualization, machine learning, and much more. It is a 12 hours Bootcamp course that is equipped with all the necessary material that you need to grow your data processing skills. During your learning journey, you will learn everything from carrying out simple visualizations and data explorations to statistical analysis to machine learning and then move on to learn how to implement simple deep learning-based models with Python. The course is designed by Minerva Singh, who is an MPhil graduate from Oxford University, he will assist you during your entire learning journey.


Key USPs –

– Get a full introduction to Python Data Science and powerful Python driven framework for data science, anaconda

– Learn about basic analytical tools like NumPy, Operations, Arrays, Equation-solving, Arithmetic, Vectors, Broadcasting, and much more with a comprehensive presentation

– Learn how to pre-process and wrangle Python data by removing NAs/No data, handling conditional data, grouping by attributes, etc.

– Learn how to generate artificial neural networks and deep learning structures at the end of the course

– Earn a certificate of completion signed by Udemy professionals, which can be shared with employers to show your skills


Duration: 12-13 hours

Rating: 4.3 out of 5

You can Sign up Here


Review: The material is well presented in an easy way to understand. It was really great, almost felt too easy. I really feel like I learned a lot about data analysis from this course! THANK YOU! – Muraj Mugdho



3. Data Processing with Python (Udemy)

This is an intermediate level course that will teach you how you can use a programming language like Python to reduce the data processing time and make them ready to use for your project. You will learn how Python can be used to manage, clean, and organize vast amounts of data, as well as you will get access to a million records of raw historical weather data. The course is created by Ardit Sulce, who is a professional Python programmer. He will help you learn how to use Python to batch download and extract the data files, load thousands of files in Python via pandas, cleaning the data, and many more data processing operations.


Key USPs –

– Learn how to calculate statistics and visualize the final data, and how to use Python at every single step to deal with datasets

– Covers a series of exercises that will provide you with sample data to practice what you have learned so far with the course content

– Learn how to import data into Python for analysis and visualization from various sources like delimited TXT files, CSV files, etc.

– Learn how to create pivot tables in Python from large datasets, query data from python pandas data frames, and KML Google Earth Files from CSV files


Duration: 3-4 hours

Rating: 4.1 out of 5

You can Sign up Here


Review: Very helpful for Data Scientists. Handy tips and tricks for processing data using Python. Excellent! – Sudhanshu Sekhar Sahoo



4. Basic Data Processing and Visualization by UC San Diego (Coursera)

This class is part of a specialization program – Python Data Products for Predictive Analytics, which will take you through the basics of reading and manipulating datasets in Python. Enrolling in this course will help you learn what a data product is while going through several Python libraries to perform data retrieval, visualization, and processing. The course is invented by expert instructors of the University of California San Diego, who have keen expertise in data processing and Python programming. During the course, if you face any issues or queries related to course content, then a team of experts will be available 24/7 to resolve those queries.


Key USPs –

– Get a brief introduction to the field of data science and prepare yourself for the next three courses in the specialization program

– Learn how to develop data strategy and process for how data will be generated, collected, and consumed

– Understand how to deal with data in various formats, such as timestamps, strings, etc., and filter and clean datasets by removing outliers, etc.

– Get the basic experience of working with data processing libraries like NumPy and Data ingestion with requests and urllib

– Gain essential skills during the course like Python libraries, data pre-processing, web scraping, data visualization, etc.


Duration: 14 hours

Rating: 4.4 out of 5

You can Sign up Here


Review: Excellent to start your career in machine learning!!! – MA


So, these were the Best Python Data Processing Courses, Classes, Tutorials, Training, and Certification programs available online. Cheers to your success, Team Digital Defynd!