Professional Certificate in Data Science

If you are interested in a data science career, our institution offers a combination of five micro-credentials which will give you an opportunity to learn from the experts to build the required skills.

• Business associates, operations managers, project managers, and intelligence analysts.
• Finance, securities, and insurance professionals.
• Digital marketing and communication specialists.
• Professionals from every level or industry who work with analytics or data.

A degree in Engineering, Mathematics, or Computer Science is recommended but not mandatory. Basic knowledge of programming and programming languages is strongly recommended.

• Emerging Technologies and Basics of Data Science
• Data Analysis using Microsoft Excel
• Data Wrangling and Analysis with SQL
• Effective PowerPoint Presentation
• Statistics for Data Science
• Python 3 Programming
• Data Analytics Using Python
• Machine Learning using Python
• Cloud Computing
• Big Data Fundamentals
• Profile Building – GitHub, Blogs, Hackathons
• Career Counselling & Interview Preparation

The certificate program is made up of 10 Micro-credentials that are meant to be taken for learning to go in a natural progression. Each of these micro-credentials takes about 35 hours in total qualification time to complete, and they are all done online with help from a trainer, weekly webinars, peer networking, and cooperative learning. It is made for people who work full-time and need to learn around their busy schedules. As a result, you do not have to attend synchronous sessions, and you can work on the tasks whenever it is convenient for you.

• Must be 21+ years of age
• Bachelor’s Degree or equivalent from a recognized institution.
• Higher National Diploma (HND) or equivalent earned after high school from accredited institutions can be admitted with a minimum of two years of work experience.
• A degree in Engineering, Mathematics, or Computer Science is recommended.
• Basic knowledge of programming and programming languages is strongly recommended.
• English Language Proficiency is encouraged as these qualifications are taught in English.

• Total Module Time (TMT) is the number of hypothetical hours that reflects an estimation of the overall time that might reasonably be anticipated for a learner to accomplish and show the level of attainment required for granting a certificate.
• Guided Learning Hours (GLH) is when an instructor, lecturer, or other staff member is accessible to give direct instruction or guidance to a learner pursuing a certification.
• The credit value of a Module or Unit is defined as the number of credits that may be granted to a student upon successful completion of the module’s learning objectives and goals. One Beta College Credit is equivalent to ten TMT hours.