Professional Certificate in Data Science

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Professional Certificate in Data Science

The Professional Certification in Data Sciences helps students learn the basics of data science to improve their job prospects or change careers. You will gain a foundational level of knowledge and skills in data science to help guide strategic decision-making and be introduced to different concepts, including data mining, machine learning, and data visualization.

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.

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  • 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.
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