Python

The "Data Understanding and Visualization" course provides students with essential statistical concepts to comprehend and analyze datasets effectively. Participants will learn about central tendency, variation, location, correlation, and other fundamental statistical measures. Additionally, the course introduces data visualization techniques using Pandas, Matplotlib, and Seaborn packages, enabling students to present [...]

Data wrangling is a crucial step in the data analysis process, as it involves the transformation and preparation of raw data into a suitable format for analysis. The "Fundamental Tools for Data Wrangling" course is designed to provide participants with essential skills and knowledge to effectively manipulate, clean, and [...]

The "Data Processing and Manipulation" course provides students with a comprehensive understanding of various data processing and manipulation concepts and tools. Participants will learn how to handle missing values, detect outliers, perform sampling and dimension reduction, apply scaling and discretization techniques, and explore data cube and pivot table operations. [...]

The "Data Collection and Integration" course provides students with comprehensive techniques for gathering data from diverse sources, including files, relational databases, web pages, and APIs. Participants will gain practical experience in collecting and integrating data for further processing and analysis. The course emphasizes the utilization of appropriate tools and [...]

“Selenium WebDriver with Python” is a foundational course that aims to provide a comprehensive understanding of Selenium and its components. It also helps in understanding how Selenium WebDriver Operates. This course begins by demonstrating an environment setup for Selenium WebDriver with Python. A brief description of locating Web elements [...]

The Network infrastructure industry has undergone a significant transformation in recent years, with an increasing need for automation due to factors such as a demand for faster and more reliable network deployments. Therefore, there is a growing need for network engineers skilled in automation and [...]

This course will provide a solid foundation for understanding how APIs are utilized in network automation by discussing important topics such as data encoding formats, REST APIs, and the Python Requests library. Upon completion of the course, you will be equipped with the necessary skills to utilize APIs in [...]

Learn how to apply Machine Learning Operations (MLOps) to solve real-world problems. The course covers end-to-end solutions with Artificial Intelligence (AI) pair programming using technologies like GitHub Copilot to build solutions for machine learning (ML) and AI applications. This course is for people working (or seeking to work) as [...]

A lot of code is building up from the most basic primitive elements of the language to increasingly faithful and meaningful things. In this course we will learn to author more complex ideas and capabilities in Python. In technical terms, you will learn dictionaries and how to work with [...]

Manipulating the flow of how your code runs is the major part of coding and learning to think in code. We'll experience turning logic into useful work by automatically reading all of Shakespeare, and by setting Python up to give you a call on the phone. In technical terms, [...]