- Data Processing with Python by Nanjing University [Coursera]
- Complete Data Science Training with Python [Udemy]
- Basic Data Processing and Visualization by UC San Diego [Coursera]
As per the survey, Data scientists spend 80% of their time collecting, cleaning, and organizing data sets. Data Analysis takes a lot of time and when it comes to Data processing. It becomes a tedious job to handle all the data sets. So Data Analysts and machine learning experts use Python for Data Processing.
So today, I will discuss the list of three Best Python Data Processing Courses and Certifications. Previously, I have published an article of top Python Data Analysis Courses. That could be beneficial for you, If you go and check out.
Table of Content
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Best Python Data Processing Courses, Certification, Tutorials, Training, Classes Online
Data Processing with Python by Nanjing University [Coursera]
Learn data processing to power your data analysis knowledge. You may be aware that, Data processing is the method of manipulating the raw data to perform desired operations. This Data Processing with Python Program will teach you how to use the general-purpose Programming language for acquiring, analyzing, and presenting the data. You will get to conduct basic and advanced statistical analysis on the raw data. You will understand how to design a GUI to process and visualize the data. This whole data processing course is based on Financial data and provides a chance to work on case studies one after another.
Zhang Li, a professor at the Nanjing University, designed this Data Processing Python Course to discuss how fast and efficient the data processing capacity of Python is. You will feel the simplicity and robustness of Python that can apply to any field.
Key Highlights & USPs
- Learn how to use Python 3 and its powerful libraries to write programs for processing the data.
- Master the basics of Python such as data structures, conditions, loops, and functions.
- Get practical experience by acquiring the local data and network data using data structures, strings, and lists in Python.
- Gain the foundational knowledge of intermediate and advanced-level uses of Python.
- Learn to use Python Data Statistics and Data Mining methods during processing the data.
- Understand the relationship between object-oriented programming and Graphical User Interface.
Who is it for?
This Coursera Data Processing using Python program is a beginner-level training course for professionals and graduates with little experience in Python programming. If you don’t know Python 3, you can take a moment to check the list of Best Python Online Courses on Coursera. Upon completion, you will receive a shareable certificate to add to your resume. You can enroll now for Free!
Rating: 4.2/5
Students Enrolled: 49,026
Duration: 29 Hours
Complete Data Science Training with Python [Udemy]
Udemy introduces you to The Complete Guide to Practical Data Science and Data Processing with Python. You will learn about Statistics, Data Analysis, and Data Science in this 12-hour whole package. This Data Science Training with Python Course will teach you how to store, filter, manage and manipulate the data in Python. You will perform data analysis and read data from different sources ( including web pages). Further down, You will clean the data to process further using powerful Python libraries. In the end, you will become proficient in dealing with collected real-life data and carry out data analytics.
This Udemy Data Science Course was created by Minerva Singh that covers all the aspects of data science, statistical modeling, data visualization, and machine learning. You don’t have to waste your time searching for online courses or books on Python Data Science Course. You will go through data exploration to build deep learning models using Python. It’s quite an elaborative course for learners to check how data processing and visualizing are used for predicting the future
Key Highlights & USPs
- Learn to install Anaconda, a powerful framework for data analysis, and set up the Jupyter Notebook Environment for Python.
- Discover basic analytical tools of Python such as Numpy arrays, operations, arithmetic, Vectors, etc.
- How to use Data Structures and Pandas for reading the generated data from CSV, Excel, JSON, HTML data.
- Carry out data pre-processing and data wrangling tasks using Python.
- Implement supervised and unsupervised learning techniques on real data.
- Understand the difference between Machine learning and Statistical Data Analysis.
- Build basic neural networks and write deep learning algorithms.
Who is it for?
Students can enroll in this Udemy Python Data Processing Tutorial without any prior Python and Statistics Knowledge. It’s a beginner-level course that any professional or student can equip themselves with easily. You will get lifetime access to enjoy the study materials and hands-on projects. You will get a certificate of completion to showcase the skills you’ve acquired and impress your potential employers.
Rating: 4.1/5
Students Enrolled: 8,028
Duration: 13 Hours
You can Sign up Here
Basic Data Processing and Visualization by UC San Diego [Coursera]
This Data Processing in Python Course is the first part of the four-course specialization, that’s Python Data Products for Predictive Analytics. You will be going to learn the basics of reading and manipulating datasets in Python. You will understand what exactly a data product is, how to perform data retrieval, data processing, and data visualization. At each step, you will gain hands-on experience in data manipulation and build skills by completing a capstone project.
This Basic Data Processing and Visualization Course were designed by Julian McAuley and Ilkay Altinats to introduce you to the field of Data Science. They will prepare you for the other three courses: Design Thinking and Predictive Analytics for Data Products, Meaningful Predictive Modeling, and Deploying Machine Learning Models. It is the perfect time to add this valuable skill set to your job profile.
Key Highlights & USPs
- Learn how to develop a data strategy and process for how data will be generated, collected, and consumed.
- Refresh your memory on Python 3 fundamentals and how to work with Jupyter Notebooks.
- Discover the ways to deal with data in various formats and clean datasets by removing outliers.
- Learn to import and process formatted datasets such as CSV and JSON.
- Build data visualization with Numpy and Matplotlib.
- Understand how to do web scraping with Urllib and Beautifulsoup.
- Get a chance to practice data manipulation and create your Jupyter Notebook with a dataset.
Who is it for?
UC San Diego offered this Data visualization and Processing using Python Course for students who are keen on learning how data processing works with Python libraries. You should have prior knowledge of the Python programming language. You will be accredited with a certificate of completion. Join this free data analysis course now and upgrade your career!
Rating: 4.3/5
Students Enrolled: 16,811
Duration: 11 Hours
You can Sign up Here
FAQ
Is Python good for data processing?
Yes, Python is good for data processing as it has a high processing speed. Python code requires less time to compile as compared to other programming languages. Its simplicity and easy-to-manage code support various ideas while keeping transparency between code and execution.
What is data processing in Python?
Data Processing is the concept of presenting the data in different kinds of encoding formats, including CSV, XML, HTML, JSON, and SQL, etc. So every processing format is different from the other. It also takes quite a lot of time.
Here, Python comes as a supportive programming language to handle various encoding processes. Python uses Numpy and Pandas libraries to manage these processing formats.
