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Top 10 Data Analytics Courses In Singapore With Placements

Tons of data from different resources – social media, industries, marketing companies, and government agencies, is having a tangible effect. Removing the barriers faced due to a lack of resources or technologies is where data analytics jumps in. To move forward in the competitive market, industries are deliberately seeking specialists to handle this data. Not only to march forward but also to protect data privacy and abbreviate compromises in business. Especially, a place like Singapore that leads the path of technology with its advanced infrastructures, government policies, and tech businesses. This brings us to today’s subject, “Data Analytics Courses in Singapore.”

List of best data analytics courses in Singapore

Singapore is a global center of technology and data analytics. The government of Singapore has been lively in encouraging the relevance of digitalization and data analytics through multiple schemes such as the Smart Nation Initiative and projects like the Enterprise 2025 Plan (RIE).

Undoubtedly, these actions indicate how much the country values the presence of technology and data analytics. Besides this, Singapore is home to many multinational companies, high-profile corporations, startups, institutions, and agencies; thanks to the massive investments that the country has made for the sake of evolution and advancement.

Why Do Companies Need Data Analytics for Business?

Companies are suffering a great deal due to the data explosion. In a survey, one-third of manufacturers considered data as the most important and intellectual device. At the same time, many of them confessed how industries are suffering from handling complex data, and how lack of resources is terminating customer satisfaction and experience.

Not just the staff but also employees in higher positions are confronting hurdles on the subject of strategizing steps and actions in the field of data analytics.

With the help of data analytics and the latest technologies, industries, and agencies will become capable of generating valuable information along with increasing their productivity. Especially the countries that are symbols of globalization will benefit from data analytics the most.

Below we will discuss the different ways companies need help with data analytics.

Data Explosion: To stand out in the competition, companies are generating data in masses but their resources are deficient to handle excessive data. Also, it requires money to afford to mine, analyze, and model the data; each process requires a separate amount and expertise; but with the help of a data analyst, companies can receive an all-in-one service. Data explosion is the primary reason why companies are thriving in hiring data analysts; they desire to optimize their business reach.

Data Security: The secondary reason is data security. Data Security is the act of protecting online information from fraudulent or illegal intrusion. The more a company produces data the more chances of it getting exposed to fraud or a hacker.

As the magnitude increases, it becomes very hard to manage or store such vast amounts of data, creating an easier route for hackers to enter illegally. Advanced data analytics can promise adequate security by detecting any suspicious activity through insights and patterns recorded round-the-clock.

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Economically Inviable: Storing and managing excessive data requires high-tech services as it requires planning, modeling, and mining of data; especially when the data is complex. Keeping track of market trends and personalizing the experience for customers requires a sufficient amount of expense, however, this could be dealt with through the use of data Analytics as data goes through the process of mining which minimizes waste while improving the company’s productivity.

Also, by personalizing customer experience, companies could get a fair return on investment. Detecting risks and prescribing a path that has more probability of success can save companies their money.

Data Complexity: Extracting, analyzing, managing, and representing large volumes of data increases complications. How does it raise complications? For the sake of information, data collected and translated arrives from different resources and in different formats and every piece of information requires individual attention.

Sadly, with the accelerating amounts of data, it is becoming more excruciating to translate such complex and large datasets, that too, in different formats. This complexity affects the overall efficiency of any business.

But, through data analytics, any information can easily be managed using powerful technologies such as machine learning and big data analytics. Industries will be capable of promoting better comprehension through data visualization tools such as Tableau and Power BI.

Data Inefficiency and Redundancy: The term “Data Redundancy” is used when a file is found more than one time generating a situation of duplicity or when the data is outdated. While dealing with large datasets, duplicity, and data quality issues are a common problem. One more problem is data inefficiency, a term that refers to unorganized data or when data is not utilized properly.

Such problems arise due to a lack of ability and resources required to handle complex datasets. Luckily, through advanced features like data cleansing and data modeling, any data can be filtered and communicated effectively. Data quality can be improved with the help of data analytics.

Limited Insights: The situation of limited insights emerges due to lack of resources and lack of experience. With insufficient insights, companies lose the ability to predict their customer preferences and are unable to perform successful operations.

Not only this but with insufficient knowledge or insights they are deprived of making sensible decisions and are unable to fulfill the ambitions of their organisation. This will also cost companies a huge loss in revenue and will decrease their return on investment.

However, with the help of data analytics tools and techniques, industries can extract valuable information and enable themselves to generate innovative solutions. It will also improve their decision-making by making accurate predictions and optimizing their business growth.

Overall, data analytics plays a major part in solving every complex problem and can be referred to as an all-in-one solution in this changing world. Providing individuals with powerful and accurate tools, technologies, practices, and insights, helps you improve your decision-making and optimize your business growth in this competitive market. So, without further delay, let us move to our current topic, “Data Analytics Courses in Singapore.”

Do Not Miss check out these Top-ranked Data Analytics Courses:

List of Top 10 Data Analytics Courses in Singapore

1. IIM SKILLS

As we heard how much a company suffers due to data explosion, IIM SKILLS is here to offer a 6-month online course in data analytics. IIM SKILLS is among the highly praised data analytics institutes in Singapore that has been encouraging students across the globe with their specialized curriculum. It offers a range of diverse case studies and projects that ensure to stimulate individuals’ talents and abilities.

 
Modules Covered:

Module NameImportant Topic
Module 1: Basic and Advance Excel
Introduction to Data Handling
Data Manipulation Using Functions
Data Analysis and Reporting
Data Visualization in Excel
Overview of Dashboards
Module 2: Visual Basic Application
Introducing VBA
How VBA Works with Excel
Key Components of Programming Language
Programming Constructs in VBA
Functions & Procedures in VBA
Objects & Memory Management in VBA
Error Handling
Controlling Accessibility of Your Code
Communicating with Your Users
Module 3: SQL
Basics RDBMS Concepts
Utilizing the Object Explorer
Data Based Objects Creation (DDL Commands)
Data Manipulation (DML Commands)
Accessing Data from Multiple Tables Using SELECT
Optimizing Your Work
Module 3.1: SQL Server Reporting Services
Basics of SSRS
Creating Parameters
Understanding Visualization
Creating Visualization Using SSRS
Module 3.2: SQL Server Integration Services
Understanding Basics of SSIS
Understanding Packages
Creating Packages to Integrate
Creating Project Using SSIS
Module 4: Power BI
Introduction
Data Preparation and Modeling
Data Analysis Expressions (DAX)
Reports Development (Visuals in Power BI)
Module 5: Data Analytics Using Python
Introduction to Basic Statistics
Introduction to Mathematical Foundations
Introduction to Analytics & Data Science
Python Essentials (Core)
Operations with NumPy (Numerical Python)
Overview of Pandas
Cleansing Data with Python
Data Analysis Using Python
Data Visualization with Python
Statistical Methods & Hypothesis Testing
Module 6: Tableau
Getting Started
Data Handling & Summaries
Reports Development (Visuals in Tableau)
Module 7: R For Data Science
Data Importing/Exporting
Data Manipulation
Data Analysis
Using R with Databases
Data Visualization with R
Introduction to Statistics
Linear Regression: Solving Regression Problems
Module 8: Alteryx
Overview of the Alteryx Course and Fundamental Concepts
Using the Select Tool to Rename Fields, Change the Data Type
Understanding the User Environment and Alteryx Settings
Filtering Data/Data Processing
Blending/Joining Data from Different Sources
Data Cleansing
Impute Values
Random Sample

Course Name: Data Analytics Master Course

Duration: 6 months + 2 Months of Internship

Fees: 816.21 Singapore Dollar + GST

EMI: No Interest

Certification: Provided

 
Why Choose IIM SKILLS among other data analytics courses in Singapore?

  • Learn to gather information from multiple resources and present it effectively.
  • Hands-on training on powerful tools like Python, Tableau, R, and other tools.
  • With more than 10 case studies and 16+ projects, deeply understand the concepts of data analytics.
  • With 500+ hiring partners, get a chance to give work a permanent job in top companies.

  • Complete access to online sessions and workshops with no extra payment.
  • Learn data analytics courses with trained professionals holding skilled degrees.
  • Earn a reputed certificate in data analytics and prove your expertise by adding it to your resume.
  • With no coding experience, every fresher or professional is welcome to join the course.

In brief, IIM SKILLS is not only inclined to deliver high-quality education but also provides care and support to each individual at every stage of their career.

 
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2. National University of Singapore

The National University of Singapore (NUS) is offering several data analytics courses in Singapore, all with different curricula. The delivery mode will be offline which is convenient if you’re looking for data analytics institutes in Singapore.

Modules Covered:

  • Introduction to Analytics
  • Understanding Database Structure and Queries
  • Exploring Databases in SQL
  • Introduction to Exploratory Data Analysis (EDA)
  • Data Warehouse: Time-based Analysis
  • Data Visualization with Power BI
  • Data Mining
  • Programming with Python
  • Machine Learning

Why choose the National University of Singapore among other data analytics courses in Singapore?

  • Make informed solutions and drive sales to any business after excelling at machine learning and statistics.
  • Learn from Asia’s No. 1 ranked university in Statistics and increase your reach in the competition.
  • Start from the basics, expand your knowledge with tools and techniques, and reach an advanced level.
  • Gather and analyze your collected information after the completion of the course.
  • Learn from experts and skilled professionals who have served for years in the field of data analytics.
  • Have complete assistance and backup support for all your queries and issues at any time.

The curriculum, duration, and entry requirements rely on the level of the course. It is better to check out the site if you require any clarification.

 
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3. Vertical Institute

Vertical Institute is an online platform that offers a course in data analytics. The duration will be 21 hours. During the course, you will be taught about powerful programming languages along with techniques to handle those languages. As the mode is online, you can select this institute if you’re looking for data analytics courses in Singapore.

Modules Covered:

  • Introduction to Data Analytics
  • Introduction to Microsoft Excel
  • Introduction to Data Visualisation
  • Introduction to SQL
  • Charts and Tables
  • Fundamentals of SQL
  • Introduction to Tableau
  • Distribution Analysis
  • Data Storytelling
  • Advanced Analytics
  • Capstone Projects

Why Choose Vertical Institute among other Data Analytics Courses in Singapore?

  • Whether you’re a professional or a fresher, you are open to opt for this course.
  • Learn about industrial tools and techniques and become capable of solving any dataset.
  • Earn a certification from one of the best data analytics institutes in Singapore.
  • Learn from highly skilled professionals who have years of experience in the same field.
  • Understand how things work on a practical level after completion of the course.
  • Expand your professional network and connect with people all around the world.
  • Receive complete support from a dedicated team at any time, anywhere.
  • Gain access to top companies via the support team provided by the institute.
  • Master essential tools and techniques to acquire a good position in the market.

Please note that the classes will be conducted online making it suitable if you are looking for Data Analytics courses in Singapore.

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4. PSB ACADEMY

PSB Academy is one of the top data analytics institutes in Singapore that offers various programs to choose from. Below we have pointed out the topics covered in this course.

Modules Covered:

  • Database Management
  • Finance Analysis
  • Marketing Analysis
  • Descriptive Analysis
  • Predictive Analysis
  • Data Handling
  • Data Storytelling
  • Business Analytics

Why Choose PSB University among other data analytics courses in Singapore?

  • Acquire a deep understanding of all techniques and tools in the field of data analytics and business analytics.
  • Improve your strategies and drive solutions with the help of gained knowledge in the course.
  • Hands-on experience with tools like Excel, R, and other in-demand languages.
  • Earn a certification from a trusted platform which is enough to prove your experience and proficiency.
  • Learn to handle complex datasets and manage them as per the market and company demands.
  • Learn from industrial professionals who have worked for years in the field of data analytics.
  • Gain a chance of an interview with top companies or even a permanent job.

The institute is offering a diploma in business analytics for 12 months where the mode of learning is offline and online, making it a wise choice if you are seeking data analytics courses in Singapore.

 

5. London School of Business and Finance

A Diploma in Data Analytics is being offered by the London School of Business and Finance to enlighten individuals who are searching for Data Analytics institutes in Singapore.

The students who are striving to start their job as data analysts will be provided with complete career assistance and backup support. After completion of the course, enrolled students can place their foot in many industries such as business analysis, research analyst, web analyst, and even data specialist.

Modules Covered:

  • Introduction to Statistical Analytics
  • Data Interpretation
  • Introduction to Data Analytics
  • Learning Concepts and Algorithms
  • Data Mining
  • Machine Learning
  • Predictive Analysis
  • Cloud Computing
  • Data Analytics with IOT
  • Data Monitoring
  • App Development
  • Data Automation
  • Project Management
  • IT Analytics
  • Data Visualisation
  • Introduction to Power BI
  • Calculations and Mathematical Foundations

Why Choose London School of Business & Finance among other Data Analytics Courses in Singapore?

  • Gain practical insights into the data analytics industry after excelling at all data analytics concepts and techniques.
  • Acquire detailed knowledge of essential skills and tools and enable yourself to understand complex data sets.
  • Gain exposure to a wide range of careers in respected fields such as business, finance, retail, marketing, and others.
  • Use the acquired knowledge to solve various problems and prove your efficiency by solving difficult analytical issues.
  • Master the techniques of interpreting and modeling data after gaining hands-on experience in industrial tools and concepts.

If you are looking for a full-time course then the course duration will be 8 months while in part-time it will be 12 months. The delivery mode is online and offline; a bright opportunity if you are seeking data analytics institutes in Singapore.

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6. Purdue University via Simplilearn

Simplilearn stands in sixth position in our list of top data analytics courses in Singapore because it is one of the most popular and eligible combined courses available online. In collaboration with Purdue University, Simplilearn offers a course in data analytics for 8 months to advance every individual in the field of data analytics.

Modules Covered:

  • Introduction to Statistics
  • Introduction to SQL
  • Business Analytics
  • Microsoft Excel
  • Programming Fundamentals
  • Fundamentals of Python
  • Data Visualization
  • Introduction to R
  • Data Science using R
  • Database Management
  • Introduction to Tableau
  • Introduction to Power BI
  • Artificial Intelligence
  • Machine Learning
  • Master Classes
  • Capstone Projects

Why Choose Purdue University among other Data Analytics Courses in Singapore?

  • Obtain a deep understanding of data analytics with 14+ case studies and real-world capstone projects.
  • Keep track of market trends with powerful programming and data visualization tools.
  • Begin your career in a well-established company while earning a generous amount of income.
  • Solve any problem and generate new ideas and solutions after mastering the course.
  • Seek support for your queries with a dedicated team at any time, as per your comfort.

If you’re seeking data analytics courses in Singapore then do consider this option as the course is flexible and online.

 

7. Nanyang Technological University, Singapore

The Master of Science (MSc) in Analytics is a postgraduate program distributed by one of the well-established institutes in Singapore.

Modules Covered:

  • Database Management
  • Time Series Analysis
  • Probability and Statistics
  • Risk Management
  • Finance Analytics
  • Advanced Natural Language Processing
  • Web Analytics
  • Blockchain Systems

Their program focuses on developing a critical understanding of the practical world in the field of data analytics encouraging students to solve any problems in less time.

8. ExcelR

ExcelR has come up with a course suitable for every individual; whether it’s a fresher or a professional.

Modules Covered:

  • Introduction to Advanced Excel
  • Database Management with SQL
  • Data Visualization with Tableau
  • Formatting Tables & Charts
  • Data Visualization with Power BI
  • Business Analytics
  • Probability and Normal Distribution
  • Data Analysis with R Programming
  • Fundamentals of Python
  • Introduction to ChatGPT

The course duration is 6 months and to give you more clarification, we’ve written the topics covered in the program.

 

9. SMU Academy

The Certified Data Analytics Specialist course delivered by Singapore Management University trains students in statistics and machine learning using R programming. The course is conducted online and provides a basic understanding of Data Analytics concepts and principles.

If you are a candidate who wants to have an idea about what Data Analytics is all about then you might consider joining Singapore Management University, especially if you are seeking Data Analytics courses in Singapore or any other region.

10. Microsoft Power BI Data Analyst

A 3-day program is arranged by Microsoft for professionals who want to develop their data modeling techniques to submit powerful presentations and quality reports. For more clarification, check their website.

Frequently Asked Questions: (FAQs)

Q.1. Describe the role of a data analyst.

A data analyst has many job responsibilities but in brief, they’ve to collect, analyze, and model complex information to drive smart business solutions.

Q.2. What are the other types of data analytics?

The four main types of data analytics are descriptive analysis, predictive analysis, prescriptive Analysis, and diagnostic analysis.

Q.3. What are the fields that use data analytics?

Data analytics is used in various fields such as finance, marketing, retail, manufacturing, media, healthcare, and many more.

Final Thoughts:

Overall, data analytics opens a gateway of opportunities, and students or professionals are blessed with essential skills and techniques after completion of the course. Whether you join an online program or interactive classes; institutions like IIM SKILLS enrich scholars so that they’re capable of securing powerful positions in the competitive market. By committing to data analytics training, you can stand confidently in any field related to data analytics and keep benefitting from acquired knowledge, at present and even more in the future.

Author:
I, Riya Joshi, am a student serving her second year in psychology holding an experience of one year as an executive assistant in Delton Cables Limited. My job was to act as a point of contact between employees and management while meeting the essential requirements. Currently, I’m indulged in an internship as a content writer at IIM SKILLS as my underlying interest has been writing for prolonged.

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