Why Data Science?

All in all data science enables products to strongly and captivatingly express their story. Thus products and businesses can better connect with their customers when they use this data to tell their stories to viewers. In turn this highlights the need and importance of data science in the IT industry.

Part-Time

Fast forward your career in the IT industry with a part-time data science course at School of IT. In turn Part-time courses allow working professionals to transition into a new skill set while working. Moreover at School of IT we are agile and customize a course to the individual.

Full Time

Ready to start a career in IT? Learn to Data Science including python or R as a full time student at School of IT. Thus beginning your career in data science.

High School

Learn about data science and prepare for the future while you’re still in high school.

Corporate

All in all learn about data, ai and machine learning and up skill yourself or your company while you’re working. Thus no matter where you are, we come to you and give the tools to move up in your company.

What most schools don’t teach you. <>

Course Objectives for Data Science and Information Processing.

Overall the responsibilities for this role include designing and creating a suitable working environment for data science workloads; exploring data; training machine learning models; implementing pipelines; running jobs to prepare for production; and managing, deploying, and monitoring scalable machine learning solutions.

All in all a candidate for this certification should have knowledge and experience in data science by using Azure Machine Learning and MLflow.

By the end of the Data Science Courses South Africa, students will have usable knowledge of the following:

• Overall apply statistical methods to data
• Be able to understand Python to explore and transform data.
• Understand and create, validate machine learning models with Azure Machine Learning.
• Thoroughly Understand Python code to build machine learning models.
• Apply data science techniques to common scenarios.
• Implement a machine learning solution for a given data problem.
• Overall learn advanced Python and Data Analysis to implement computer science algorithms.
• Implement a BioInformatics and natural language processing.
• Acquire the skills needed to find structure in data and how to use the python libraries.
• Matplotlib.
• SciKit Learn.
• NumPy.
• NLTK.

Skills Measured

Microsoft Certified.

• Microsoft Certified: Azure Data Scientist Associate
• Microsoft Certified: Data Analyst Associate

AWS Certified.

• AWS Certified Data Analytics – Specialty
• AWS Certified Machine Learning – Specialty