Professional Certificate in
Data Science & Analytics
Course Overview
With the explosion of digital information, data has become the cornerstone upon which the survivals of most businesses are hinged upon. This has resulted in an exponential demand for Data Scientist globally, so-much-so that the Harvard Business Review has referred to Data Scientists as the ‘Sexiest Job of the 21st Century’. This course is designed to help you acquire the concepts, tools, techniques and advanced programming skills (such as Advanced Python & Advanced R) that are essential for a career in data science. It will cover the key topics from data science to big data, and the processes of gathering, sorting and handling data.
Learning Outcomes
- Skills that are transferrable across the business, retail, e-commerce, advertising and healthcare sector
- Become a sought-after and highly experienced technology professional
- A qualified data analytics pro
About BAC Digital Academy
We are an industry-certified and recognised training academy. Our panel of subject matter experts have specifically structured the curriculum to focus on current trends and best practices in Data Science & Analytics, and you will have the flexibility of studying anytime, anywhere with our learning management system (LMS).
About UNIMY
At UNIMY, we're dedicated to providing our students with an exceptional academic experience. UNIMY’s lecturers are comprised of a diverse group of experts from various industries. Our ethos of high-quality teaching, cutting-edge curriculum, and work-readiness skills, will be the key to unlocking your true potential. This is where you will gain fundamental knowledge and practical experience, as well as the competency to take on the challenges that come with IR 4.0.
Entry Requirements:
- Malaysian citizens – Job Seekers, Retrenched workers, Graduates, Business Owners, Entrepreneurs
- No prior knowledge of computer science or any programming languages are required for joining this course. You will be taught the essential basic skills, tools, programming and knowledge for data science.
- Participants are required to bring along their laptops during this course. (Please avoid bringing work laptops that may limit your access to external domains)
Who Should Join this Course?
- Current Employees
- Job Seekers
- Retrenched Workers
- Fresh Graduates(Diploma/Degree)
- Business Owners/Entrepreneurs
- Malaysian citizens/companies
Course Modules
Introduction to Data Science
In this module, you will learn about data science professionals, discovering what data science is, what data scientists do, and what tools and algorithms data scientists use on a daily basis. Finally, you will complete a reading assignment to find out why data science is considered the sexiest job in the 21st century.
Data Science Tools for Python Programming Language
This module will give you an overview of the various data science tools available to you, hosted on the IBM Developer Skills Network Labs (SN Labs). You will create an account and start exploring some of the features.
Data Science Methodology
In this module, you will learn about why we are interested in data science, what a methodology is, and why data scientists need a methodology. You will also learn about the data science methodology and its flowchart. You will figure out the stages of data science methodology through two case studies.
Databases & SQL for Data Science with Python Programing Language
In this module you will learn how to explain the basic concepts related to using Python to connect to databases and then create tables, load data, query data using SQL and analysing data.
Data Analysis / Data Preparation by Using Python Programming Language
In this module you will learn what is data wrangling and exploratory data analysis, you will practice on real world dataset.
Data Visualization with Python Programming Language
In this module you learn about data visualisation libraries and tools.
Machine Learning in Finance Using Python Programming Language
In this module, you will learn about applications of Machine Learning in different fields. You’ll get a general overview of Machine Learning topics such as supervised vs unsupervised learning, and the usage of each algorithm. Also, you will understand the advantage of using Python libraries for implementing Machine Learning models.
Big Data Science Capstone Project
This capstone project course will give you a taste of what data scientists go through in real life when working with data. You will understand the advantage of using Python libraries for implementing Machine Learning models, and will be working on a data scientist project, giving you hands-on experience.
Data Scientist Marketing
You will learn about how using LinkedIn professionally to build a competitor portfolio.
Trainer's Profile
Dr. Mohammed Al-Obaydee
HRDF Certified Trainer: Data Science & Analytics Specialist, Artificial Intelligence Trainer, Entrepreneur
Dr. Obaydee holds a PhD in Artificial Intelligence and is a passionate Trainer and Digital Marketer. His expertise in Big Data Science, Machine Learning, Deep Learning, and Immersive Technology are well-demonstrated in more than 18 years of experience in various Information Technology industries. To date, he has trained over 2000 participants in Data Science & Analytics and Applied Artificial Intelligence Engineering. With his experience and knowledge in the AI world, Dr. Obaydee aims to bring in the latest technology in digital marketing by using AI, Big Data, Immersive Technology, and Metaverse to leverage social media marketing.
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