• SACS Computers

Available courses

The fundamentals of the Python programming environment, including core python programming techniques like lambdas, reading and manipulating CSV files, and the Numpy library, will be covered in this course. The popular Python pandas data science library will be used to teach students how to manipulate and clean data, introduce the abstraction of Series and DataFrame as the key data structures for data analysis, and provide tutorials on how to effectively use tools like groupby, merge, and pivot tables. Students will be able to take tabular data, clean it up, manipulate it, and perform fundamental inferential statistical analyses by the end of the course. 

Prior to taking any other Applied Data Science with Python courses, this one should be taken.

Welcome to our web design course! In this course, you will learn the essential skills and techniques required to create a modern, functional, and visually appealing website.

Throughout the course, we will cover a range of topics, starting with the basics of web design and progressing to more advanced topics. You will learn the principles of web design, including layout, typography, color theory, and user experience (UX) design.

We will also explore the various tools and technologies used in web design, including HTML, CSS, and JavaScript. You will learn how to create responsive designs that look great on a range of devices, from desktops to mobile phones.

In addition, we will discuss the importance of search engine optimization (SEO) and how to incorporate it into your designs. You will learn how to create websites that are optimized for search engines, making them more discoverable to potential users.

By the end of this course, you will have a solid understanding of web design principles and techniques, and be able to create your own stunning websites from scratch. Whether you're looking to start a career in web design or simply want to improve your skills, this course is the perfect place to start.

This course is intended to help you draw conclusions from your data by statistically analysing it using SPSS (Statistical Package for the Social Sciences). The contents are set out in a logical order. The IBM® SPSS® software platform offers basic and advanced statistical analysis. Its ease of use, flexibility, and scalability make data analysis using SPSS accessible to users of all skill levels. SPSS can be utilized for both descriptive and inferential statistics.

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