Course Overview

In this data analytics course by WILEY, you will learn how to handle and derive actionable insights from data.


Classes focus on practical applications of data analytics so you start gaining experience in applying data analytics to real life situations even before getting certified.


At the end of the course, graduates will be certified as a professional data analyst with an industry-recognised certificate from WILEY.

Wiley Certified Data Analyst TSC Proficiency Level:

Analytics and Computational Modelling - Level 3
Data Engineering - Level 4
Data Visualisation - Level 3

Supported By


Wiley Certified Data Analyst (CITREP+/FY21/CE/202105/006798)

Administered by the Infocomm Media Development Authority (IMDA), the CITREP+ funding support is eligible for Singapore Citizens and Permanent Residents. Valid for courses and examinations commencing from 1 April 2021.

Terms and conditions apply. Please visit for full details.


According to an Accenture study, 79% of enterprise executives agree that companies need to embrace Big Data to be sustainable in the long run.


A further 83% have pursued Big Data projects to seize a competitive edge.


The Wiley Certified Data Analyst course will be a mixture of e-learning content and in-person training by our WILEY Certified Instructors.


You will also work with enterprise-level projects to give you a deeper understanding of the topics.


At the end of the course, there will be an exam/assessment.


Upon passing, you will successfully earn an industry-recognised data analyst certification and the title of WILEY Certified Data Analyst.


Eligible trainees can receive the CITREP+ course fee support of up to 70% or up to 90% for the Wiley Certified Data Analyst Course.

For full information on CITREP+ eligibility, please visit



(Includes one-time examination fee and non-subsidised GST)

All students who fail the certification examination must submit a non-subsidised retake fee of $214 before retaking the examination.

Course Structure

The Wiley Certified Data Analyst course includes a mixture of e-learning content and in-person training by our WILEY Certified Instructors. 


In total, there will be eleven classes of 3 hours each and a 90 minute certification examination.

Module 1: Introduction to Big Data

Session 1: Introduction to Big Data

Session 2: Business application of Big Data

Session 3: Technologies for handling Big Data

Session 4: Understanding the Hadoop 2 Ecosystem

Session 5: Frameworks for Processing on Hadoop – MapReduce and YARN

Module 2: Understanding Analytics

Session 1: Understanding Analytics

Session 2: Analytical tools

Session 3: Exploring R

Session 4: Reading datasets into R, Exporting data from R

Session 5: Manipulating and Processing Data in R

Module 3: Data Analysis using R

Session 1: Using functions and packages in R

Session 2: Descriptive statistics in R

Session 3: Analysing data using functions, loops, and data frames, introducing Rhadoop

Session 4: Graphical analysis in R

Session 5: Hypothesis testing in R

Session 6: Statistical analysis on massive scale – Rhadoop and Mahout

Module 4: Big Data Analytics Methods

Session 1: Implementing a Big Data Solution

Session 2: Data Cleaning and Pre-processing

Session 3: Social Media Analytics and Text Mining

Session 4: Mobile Analytics

Session 5: Big Data Visualizations

Module 5: Machine Learning Foundations

Session 1: Introduction to Machine Learning

Session 2: Linear Regression

Session 3: Non-linear Regression

Session 4: Graphical Models and Bayesian Network

Session 5: Decision Trees

Module 6: Advance Machine Learning

Session 1: Cluster Analysis

Session 2: Artificial Neural Networks

Session 3: Support Vector Machine

Session 4: Time Series

Module 7: Big Data Analytics – Technologies and Tools

Session 1: Storing Data in Hadoop 2 HDFS

Session 2: Working with MapReduce on YARN

Session 3: Working with YARN

Session 4: Exploring Hive

Session 5: Advanced Querying with Hive

Session 6: Analysing Data with Pig

Bonus Session

  • Spark and Scala Fundamentals
  • Typical Interview Questions
  • Case Studies:
    • Big Data Business Problems and Solutions – Telecom Industry
    • Big Data Business Problems and Solutions – Insurance Fraud Analytics
    • Big Data Business Problems and Solutions – Credit Risk
    • Big Data Business Problems and Solutions – Online Customer Segmentation
    • Big Data Business Problems and Solutions – Use of Visualization Tools in e-commerce

Class Schedules

Note: The certification examinations are not included in the class schedules. Learners are required to book their examination slots separately.


CLASS 1: 31 Oct - 5 Dec

  • Sun, 10am - 1pm
    @ Online 

CLASS 2: 25 Oct - 2 Dec

  • Mon & Thur, 7pm - 10pm
    @ Online 


CLASS 1: 13 Nov - 18 Dec

  • Sat, 10am - 5pm

  • (18 Dec, 10am - 1pm)
    @ Online 

CLASS 2: 24 Nov - 9 Feb

  • Wed, 7pm - 10pm
    @ Online 


CLASS 1: 6 Dec - 10 Jan

  • Mon & Thur, 7pm - 10pm
    @ Online 

What Our Students Say

Frequently Asked Questions


What is Data Analytics?

Data Analytics is the discovery of insights, patterns and meaning from data. Using data analytics and related technologies, companies and employees can make predictions or identify patterns that help them to make better business decisions.

How does the Wiley Certified Data Analyst course differ from those provided by other providers?

The Wiley Certified Data Analyst course has one of the most comprehensive curricula amongst other certification courses. In addition, learners will receive two certificates upon completion: an attendance certificate from Gen Infiniti Academy, and an industry certificate endorsed by Wiley. Wiley is an established company that has working partnerships with world-renowned companies like Microsoft and National Geographic, as well as top universities like Duke University, University of British Columbia and Nanyang Technological University. Read more about Wiley here: A data analyst would highly benefit from competency in multiple languages. We thus recommend taking the Wiley Certified Data Analyst course to supplement your other courses, and vice versa.

What happens if my preferred class is fully booked? How do I get notified of new class openings?

You can choose to join the waiting list, or enrol in another run. If you choose to join the waiting list, we will only be able to allocate a slot if someone drops out. To get notified of new class openings, please contact us at +65 6909 1888 / +65 6909 1889 or and provide your name, number and email.

What specifications are required of my computer for the class? Can I use a Macbook or Windows computer?

Any laptop that can connect to the internet and has minimum 8GB RAM can be used for the course. Computers with lower RAM can still be used, but may face issues when dealing with larger datasets.

Do I need to install any software beforehand? Is the software free?

You would need to download R and RStudio. Both are open-source (i.e. free). More information on the specific version to download will be sent to you closer to the date itself.

I have no prior experience. Will I be able to understand the content taught in the courses?

Yes, but if you are worried about this, we encourage you to read the materials on your Learning Management System before each class to ensure that you can follow along. You are also welcome to clarify your queries with your instructors.

How much time do I have to spend to self-read or self-study materials outside the course?

As this is a blended learning course, you are strongly encouraged to spend about 1 to 2 hours a week on the pre-readings. A list of the necessary readings will be sent to you via email before each class.

Is this course very coding intensive?

The course teaches analytical thinking and skills to be applied on data. This focuses heavily on using coding to efficiently and effectively analyse data. Your live instruction classes will thus be largely focused on coding in R. We believe that aspiring data analysts with no prior knowledge will be able to follow along. However, if you wish to take a less intensive coding course to get started, we recommend trying out the Python for Beginners by Dummies before joining the Wiley Certified Data Analyst course. This course is for the absolute beginner. If you want to join data analytics but have no IT or computer knowledge, this would be a great place to start. Python for Beginners by Dummies:


Does the certification expire? Do I have to renew it?

The Wiley Certified Data Analyst certificate expires within 3 years. This is to ensure that all Wiley Certified Data Analysts are equipped with the most relevant skills needed in the current industry. You can renew the certificate if you wish.

How does the Wiley Certified Data Analyst certification boost my resume?

If you have no prior experience, the certification shows employers that you have the skills needed to excel in the digital age and make data-based decisions. In other words, the certificate supplements your current skills to make you a valuable employee. Those with prior experience can also benefit from the certificate by getting an internationally recognised certificate, showing that you have the competency to use industry relevant skills.

I want to pursue a career in data analytics but have no prior experience. Is the Wiley certification able to provide the knowledge and skills I need to join the industry?

After the course, you would have the foundational knowledge needed to use data analytics in entry roles, such as Business Analyst and Junior Machine Learning Analyst. However, this certificate will not be sufficient if you wish to pursue more specialised roles, such as Artificial Intelligence Specialist, Data Engineer, and Data Scientist.

I have experience in the data analytics field. How will the certification benefit me?

The Wiley Certified Data Analyst certificate boosts your resume by supplementing your current credentials and helps you to reinforce your basics. Since our curriculum is endorsed and curated by the certification bodies themselves, you will also learn industry-relevant skills in the course. You can also add our enterprise-level projects into your portfolio.

Which companies recognise the Wiley certification?

The certificate is internationally recognised by most, if not all companies. In their 200 years of publishing and research, Wiley has established themselves as a provider of high quality content that benefits academia, businesses and governments worldwide. In the Asia-Pacific region alone, Wiley is the co-chair of the Project DARE (Data Analytics Raising Employment) Advisory Group, and thus has a close working relationship with academics, businesses and governments of 14 APEC member economies. For more information about Project DARE, please refer to


When is the certification examination held? Is it on the last class?

Certification examinations are NOT part of the scheduled classes. Learners can register for an examination at Dates are typically released the month before. Every learner applying for CITREP+ course fee support has 1 year from their course start date or 3 months from their exam date, whichever is earlier, to submit their claim application. Thus, we recommend taking your examination within 9 months of your course start date.

How long is the certification examination?

Exam takers will have 90 minutes to complete 45 MCQs.

How difficult is the certification examination?

The certification examination is not difficult to pass if you are sufficiently prepared for the exam. You will be given sufficient resources to prepare for the exam; like the curriculum, the online Learning Management System (LMS) is comprehensive and robust. For instance, the mock tests in the LMS are of similar difficulty to the actual exam, and you can gauge your readiness for the exam by attempting the mock tests.

What is the passing rate for the examination?

The passing rate usually fluctuates between 93 to 96%.

What is the passing score for the examination?

You must achieve a score of 50% to pass.