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Overview of Data Science and Analytics Courses

A recent Harvard Business Review came up with some interesting revelations. For starters, the study claims that ‘data scientist’ is the most desirable profession of the twenty-first century. Meanwhile, the same study reveals that ‘the need for data science professionals is rapidly increasing past supply,’ and their scarcity threatens operations in certain sectors. 

For the past few years, data science has been experiencing steady progress from technological sectors. This has ultimately resulted in the availability of many employment opportunities. Thus, it is the right time for anyone to enroll themselves in a data science course in Singapore. 

But why Singapore, you may ask? That’s because Singapore is an emerging IT hub of the world with huge demand for data science professionals. But amid so many universities offering data analytics courses, finding the one that fits your goals and circumstances can be difficult. This is where this article on the best data science and data analytics courses in Singapore comes to aid. 

So, let’s start. 

Importance of Data Science and Analytics Education

The importance of data is growing, and so does the demand for data scientists. They are gradually evolving into essential elements of services, occupations, government agencies, and nonprofit groups. 

Data scientists encompass but are not limited to, data analysts and computer scientists, database and software programmers, curators, and proficient annotators. 

They all prove essential to successfully managing the gathering of digital data. Data science professionals give their 100% effort to sort through mountains of data to figure out significant information and spot trends and layouts that may be used to specify future aims and objectives. 

Given all this, there is no doubt why data science and analytics education is becoming so popular. Everyone seeking interest in this field needs a formal education, such as a data science certification course, to get a job quickly.  

The Demand For Data-Driven Decision-Making

The increasing demand for data-driven decision-making has led to an alarming need for data science and data analytics professionals. Now, companies need more and more employees skilled in data analytics to help them make data-driven decisions. 

So, it’s yet another reason why more people are pursuing data analytics courses in Singapore to seize this opportunity. A master of data science course helps you learn the following things that you can later implement to assist businesses in making data-driven decisions: 

  • Gathering survey data to decide the features, services, and goods customers want.
  • Performing user testing to see how clients are likely to use your goods or services and to find any potential problems that need to be fixed before you release them to the public.
  • Launching new goods or services in an experimental market allows businesses to explore the boundaries and see how a product may perform in the marketplace.
  • Considering changing demographic information to identify potential business opportunities or dangers.

Career Opportunities In Data Science And Analytics

Here is a table representing the career opportunities one gets when one enrolls in a data analytics course with a placement facility. 

Data Analytics Course Job

Salary

Responsibility 

Data Administrators/Architect

$121,606 per year

Collects data based on their comprehension of the enterprise strategy.

Data Analyst

$62,970 per year

Collects data, cleans and studies them, and creates reports via data visualization tools. 

Data Engineer

$92,245 per year

Ensures seamless accessing and processing of real-time data.

Data Scientist

$97,350 per year

Analyzes big data while identifying trends and patterns across data. 

ML Engineer

$112,790 per year

Develops AI models, software, and more to keep up with the company’s IT needs.


Skill Sets Required For Success In The Field

  • In-depth knowledge of data manipulation and data structure. 
  • Understanding how to deploy strategies for data analysis, such as categorization and non-linear regression models.
  • Knowing about both unsupervised and supervised learning models, such as clustering, logistic regression, dimensionality reduction, etc.
  • Knowing how to use SciPy packages, such as Optimize, Integrate, IO, Statistics, and Weave, for technical and scientific computations. 
  • Become knowledgeable about mathematical computing by utilizing the NumPy and Scikit-Learn tools.
  • Knowledge of the wide-ranging elements comprising the Hadoop ecosystem.
  • Knowing how to use HBase and becoming familiar with its design and data storage. 
  • Learning how to split leveraging Hive and Impala and distinguishing between RDBMS and HBase.
  • Understanding MapReduce and all of its features, as well as how to use Sqoop and Flume to consume data.
  • Knowing the time series modeling and recommendation engine's foundational fundamentals. 
  • Knowledge of how to use machine learning principles, methods, and applications in real-world settings.
Note: With any of the big data analytics courses in Singapore, you'll learn how to use Tableau to analyze data and develop your skills in creating interactive dashboards.

Introduction To Data Science And Analytics Courses In Singapore

Full-time and part-time data analytics courses in Singapore provide coursework aligned with passing an accredited examination. Data analysis, data cleansing, data visualization, and data acquisition are some areas you'll become very proficient in. Additionally, you will be focusing on assessment, experimentation, recommender systems, Apache Mahout machine learning, and more.

Overview Of Curriculum And Course Structure 

Data science learners are given all the knowledge they require to work with different types of data as well as statistical information. Learners will graduate from the course of study with a thorough understanding of the numerous methodologies, methods, aptitudes, and tools required for working with corporate data. The data science and data analytics course syllabus includes some popular topics like algorithms, statistics, programming, and other analytical topics. 

Core Topics Covered In The Courses 

Here is a table showing the core topics covered in most data analytics certification courses online: 

Topics Covered Under Various Data Analytics Course Subject 

  • Data collection and project life cycle 
  • R’s incorporation into the Hadoop platform
  • Leveraging clustering to implement analytical segmentation
  • Algorithmic machine learning 
  • Installation of Impala projects in recommendation systems

Liverpool John Moores University (LJMU) 

Liverpool John Moore University offers a globally recognized master’s in data analytics course in association with upGrad. This online course acts as a gateway to 500+ hours of interactive, best-in-class classes. The university professors, as well as business experts at LJMU, produce captivating content available in the form of animations, quizzes, projects, cases, and videos. 

Get permission to use LJMU's entire digital collection to conduct research for and write your dissertation. Complete all requirements for this famous M.Sc. degree from LJMU in the UK to launch your data science career. Earn a WES-recognized Master's degree for 1/100th of the price of an offline program.

Faculty And Expertise

Faculty Members

Designation

Expertise 

Dr. Gabriela Czanner

Senior lecturer in Statistics and Data Science 

Advanced statistics for decision support

Dr. Atif Waraich

Senior faculty of engineering and technology

Numerous publications in the healthcare domain

Dr. Paulo Lisboa

Head of the Department of Applied Mathematics

Industrial and applied mathematics


Admission Requirements

Here is a table representing the admission requirements as well as the admission procedure for this master’s in data science course from the LJMU.

Requirements

  • A Bachelor’s degree with a minimum of 50% grade in any field.
  • No need for coding knowledge.

Admission Process

  • Step 1: Complete an online eligibility test for a period of 17 minutes.
  • Step 2: Answer all the questions from both quantitative and logical aptitude papers.
  • Step 3: The admission team will review and analyze the test results to come to a decision.
  • Step 4: If selected, they will send an offer letter
  • Step 5: Book your seat with advance payment and secure your admission.

Alumni Network And Industry Connections 

The Liverpool John Moores University alumni work in some of the world’s leading corporation houses like EY, Amazon, Deloitte, American Express, etc. 

 


University of Maryland

The University of Maryland brings you a one-of-a-kind, state-of-the-art data science and business analytics course in association with upGrad—an online learning platform. In this 360-degree course, participants get a complete understanding of the data science revolution from top industry experts and academicians. 

The best part is that their program doesn’t necessitate prior coding experience. Leading academicians from the Robert H School of Business, affiliated with the University of Maryland, offer weekly live sessions for this course. A total of 50+ hours of live sessions with 300+ hours of hands-on training is what you get from this course. 

Faculty And Expertise 

Faculty Members

Expertise 

Kislaya Prasad

Research Prof. Academic Director at Center for Global Business

John Bono

Associate Clinical Prof., Dept of Decision, Operations & IT

Margrét Bjarnadóttir

Associate Professor of Management Science and Statistics


Admission Requirements

Here is a table representing the admission requirements as well as the admission procedure for this professional certificate in data science and business analytics course from the University of Maryland.

Requirements

  • The applicant must have a bachelor's/undergraduate degree from any field.
  • Associate degree holders or high school graduates can also enroll. 

Admission Process

  • Step 1: Fill out all personal details and submit their online application form.
  • Step 2: The admission team will review and analyze the test results to come to a decision.
  • Step 3: If selected, they will send an offer letter
  • Step 4: Book your seat with advance payment and secure your admission.

Alumni Network And Industry Connections 

The alumni of this upGrad course powered by the University of Maryland work in some of the world’s leading companies like Cognizant, Amazon, Microsoft, Infosys, Uber, etc. 


Visual Representation of What Alumni of This Data Science Course Has To Say

International Institute of Information Technology Bangalore (IIIT-B)

The IIIT-B presents one-of-a-kind India’s first-ever executive postgraduate program in data science. Available on the upGrad learning platform, this online PGP course is aligned with competency standards set by NASSCOM in partnership with industry and authorized by the Government. 

This executive PGP is designed for IT and software professionals, domain experts, freshers, sales and marketing professionals, and engineers. It makes you industry-ready by offering in-depth insight and hands-on training on Predictive Analysis using Machine Learning, Python, Big Data, Data Visualization, and more. 

Faculty And Expertise 

Faculty Members

Expertise 

Chandrasekhar Ramanathan

Data Science, Software Engineering, And Application Development

Dr. Debabrata Das (Director)

Project Officer of National Mission for Interdisciplinary Cyber-Physical Systems in the areas of Advanced Communication System

Dr. G. Srinivasaraghavan

Partner at Performance Engineering Associates


Admission Requirements

Here is a table representing the admission requirements for this executive PGP course in data science from the IIIT-B.

Requirements

  • A Bachelor’s degree with a minimum of 50% grade in any field.
  • No need for coding knowledge.

Admission Process

  • Step 1: Complete an online eligibility test for a period of 17 minutes.
  • Step 2: Answer all the questions from both quantitative and logical aptitude papers.
  • Step 3: The admission team will review and analyze the test results to come to a decision.
  • Step 4: If selected, they will send an offer letter
  • Step 5: Book your seat with advance payment and secure your admission.

Alumni Network And Industry Connections

The alumni of this executive PGP data science course in upGrad powered by the University of Maryland are currently employed in big companies like Deloitte, Accenture, Infosys, etc. 


Visual Representation of What Alumni of This Executive PGP Has To Say

Identifying Personal Goals And Aspirations 

While some wanted to be pilots, others dreamt of driving F1. Now, let your mind work the same way but only from the perspective of data science. Ask yourself what your goals and aspirations are from learning data. Do you intend to resolve business issues with big data analysis? Or do you enhance your ML skills to deliver a more enhanced user experience? Is your focus more on becoming a business analyst or data scientist?

Considering Course Content And Curriculum 

An individual can't turn into a data scientist without having a hands-on understanding of the principles, even though theoretical knowledge of the field is necessary to comprehend the fundamental ideas. Thanks to a good-quality data science training program, learners will be equipped with the practical knowledge they need to solve real-world challenges. Depending on what you want, you can select from a selection of both in-person and online courses.  

Evaluating Faculty And Industry Connections 

For you to acquire the necessary market knowledge, it is imperative to evaluate your mentor's or trainer's level of competence in advance. Select a school that has instructors that are highly qualified professionals in the field. Be sure to do your homework.  

Researching Alumni Success Stories 

The best way to discover additional information regarding a course and its procedures is to speak with the institute's graduates, as they possess the most in-depth expertise. Ask them about their study placement history, tutor experience, course details, curriculum adherence ratio, and learning technique if you get in touch with them.  

Exploring Internship And Job Placement Opportunities

One of the most crucial hopes you have when you sign up for a study program at a reputed university is that a respectable organization will employ you. As a result, not all businesses fulfill their commitments. Data science courses are offered by certain notable institutions, like IIIT-B, which has a successful placement rate. Prior to enrolling in a program or institute, make sure to finish your homework.  

Government Scholarships And Grants

The data analytics courses in Singapore are funded and supported by the local government. They cover the entire tuition fee and other education-related costs for all data science aspirants. 

University-Specific Scholarships

These scholarships are offered by the universities where learners apply for the data science course. They grant such scholarships based on the student’s merit and their marks on the entrance exam. 

Loan Options And Financial Assistance 

Financial aid has helped hundreds and thousands of people to fulfill their dream of pursuing a data science and business analytics course. By collaborating with lending institutions, many institutes let you enroll in their course over a minimal down payment.

What prerequisites are required for data science and analytics courses?

Any data science aspirant wishing to get the most out of the best online data science courses will need to have the following prerequisites: 

  • Fundamental knowledge of statistics and its ideas
  • Knowledge of at least a popular and industry-relevant coding language.

How long does it take to complete a data science course in Singapore?

The duration of a data science course in Singapore depends on the education platform or institution you’re taking the course from. For instance, an online data science introduction course is only six months long, whereas a full-time master's program in data analytics may take two years. 

Can I pursue a data science course part-time while working?

You can pursue one of the best part-time data analytics courses in Singapore via an online learning platform. You have to handle this very smartly; you may either wait until you get home after work or take a break while you're still at work. Nevertheless, you have a choice between the two; follow these steps to do so. The office might be the finest place to learn and get practice if you have the skills to do it.

What is the average cost of data science and analytics courses in Singapore?

The exact data science course fees in Singapore depend on factors like age, citizenship, and support plans. However, the average fluctuates between $290 and $5830. The course fee is considerably less when you pursue the data science course online from any recognized university in Singapore. 

What career opportunities can I expect after completing the course?

Here are a few career opportunities based on special skills to explore upon successfully completing your data science course:

Specialization 

Career Opportunities 

SQL

Data Engineer/Data Analyst/BI Analyst

Big Data

Data Scientist/Data Engineer/Big Data Engineer

Python

Data Analyst/Data Scientist/Research Scientist

Artificial Intelligence (AI)

Data Scientist/AI Engineer/Research Engineer

Data Visualization

BI Analyst/Data Analyst/Data Scientist

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