Why Data Science?

Why Data Science?

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About Mobius

We are now undergoing the Industrial Revolution 4.0 (IR4.0).  The data tsunami and the COVID-19 pandemic have accelerated the need for data science as a pathway to the future.  NOW more than ever, individuals need to embrace data science and digital skillsets to stay relevant and future-proof their career.  Companies need to embrace data science to future-proof their business and stay one step ahead of the competition.  We, at Mobius, strongly believe in this future and want to play our part in helping individuals and companies embrace data science as a pathway to the future. 

Mobius’ training Programmes are developed by subject-matter experts with a wealth of industry knowledge and specialisation to help upskill and reskill talent to understand data and use it for organisational effectiveness. Our Programmes cover Introductory Courses, Skills Courses and Career Courses on data science and digital skills. Our Career Courses cover specific roles, namely, Data Engineers, Data Analysts and Data Scientists catering for different levels of knowledge – from beginners to intermediate learners and advanced practitioners.

Programmes Provided:

Data Science Course Malaysia
Data Analyst Course Malaysia 

Mobius has a team of highly experienced data professionals with deep domain knowledge across various sectors of industry. Our services are ideal for organisations looking to analyse data to provide valuable insights in an affordable and accessible manner, and harness it for driving decision-making.

By using data science, Mobius can help you make data-driven business decisions, create a more efficient and smarter organisation, discover new opportunities and grow your business. 

About Data Science 

Data science involves developing methods of extracting, storing, and analysing data to effectively extract useful information. It includes the collection, organisation, analysis, and presentation of data. The techniques include advanced analytics, artificial intelligence, statistical analysis, visualisation and data wrangling.

Data science enables the use of theoretical, mathematical, computational, and other practical methods to study and evaluate data. The key objective is to extract required or valuable information that may be used for multiple purposes such as decision making, product development, trend analysis and customer experience.

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