Why is Data Analytics training important?
Data is now an integral part of every business. To thrive in today’s business landscape, it is crucial to learn how to leverage data to make critical business decisions. This introductory course will provide participants with the fundamental knowledge, skills and abilities to extract, transform, analyse and model data.
Learn how to use industry tools: Excel, SQL, Tableau and more to analyse large real-world data sets and create data dashboards and visualisations to share your findings. Join the data conversation and see how data analytics drives decision making across industries.
Vertical Institute’s Data Analytics workshop can be fully tailored tailored according to your learning objectives and training needs analysis.
The workshop is designed by industry practitioners with the aim to equip individuals with the latest knowledge and best practices in data analytics. Participants will be able to implement contemporary techniques, dynamic visual displays with illustrative and interactive graphics to present patterns, trends, analytical insights from data or new concepts in a strategic manner for the intended audience. Our pedagogy is practical and hands-on with in-class case studies.
Who is this for?
This programme is for all managers, analysts, professionals, executives and support staff involved in data collection, analysis and presentation in an organisation.
We customise training curriculums in:
Learn how to organise, analyse and calculate your data using Microsoft Excel. A spreadsheet software that aids you in your data preparation using commends such as Min, Max and their conditional variants.
Microsoft Power BI
Learn to create smooth and interactive data experiences with Microsoft Power BI. A data visualisation tool that allows you to connect disparate data from various sources into one platform.
SQL stands for Structured Query Language, also pronounced as “sequel” or in acronym form as all three letters. It is a standard programming language in helping you to manipulate and manage your database.
A combination of visual and data in one software – Tableau. With complex information and numbers, Tableau provides a solution in bridging datasets to visualisation tools that will help in showcasing your data better.
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together.
Python’s simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.
Honglin is the Head of Business Intelligence at Ant Financial.
As a lifelong data expert, he previously enjoyed working stints at Apple, DBS Singapore and Advanced Micro Devices (AMD). He was also a past data analytics instructor at General Assembly.
Honglin graduated with a Masters in Knowledge Management and Bachelors in Engineering from Nanyang Technological University in Singapore.
Clarence is a data analyst at OCBC Bank.
As an analytics and tech enthusiast, he has done projects in front-end development, automation and analytics projects during his time in IBM, Standard Chartered Bank and OCBC Bank. He also taught data analytics at General Assembly.
Clarence graduated with a Masters in IT in Business (Analytics) and Bachelor of Accountancy from SMU. He often mentor students about careers in the tech industry during his free time.
Course Pricing & Schedule
Please email or call us for pricing and schedule. We tailor the programme according to your business schedule and intended audience.
Mode of Delivery
This programme will be conducted online, done face-to-face online with our instructional team, which consists of our main Instructor and 2-3 teaching assistants. The choice of video call platform will be based on client preference.
Frequently Asked Questions
Q. Why are data analytics skills relevant today?
By 2028, 20% of Singapore’s full-time equivalent workforce will have their jobs displaced by technology. With digital disruption comes the need for workers with corresponding digital skills, and data analytics is at the forefront of this change. The ability to manipulate data to make critical decisions across all industries and professions is key to staying relevant in our increasingly data-driven world.
The relevance of data analytics skills is also evident in its employer demand. The introduction of data analytics into its operations saved DBS 600,000 man-hours while boosting recruitment, staff productivity and reducing attrition rates. Experts have predicted that about 11.5 million data job openings will be created by 2026, and the need for data-driven decision makers and functional analysts will be most acute.
Q. Is there a certificate granted at the end of the course?
Upon successful completion of the course, participants will be awarded a digital certificate by Vertical Institute. VI alumni use their course certificate to demonstrate skills to employers and their LinkedIn network.
Our cybersecurity course is well-regarded by top companies, who contribute to our curriculum and use our courses to train their own teams.
What Our Students Say
VI’s bootcamp was intensive but rewarding. They truly provide a platform for key industry experts to teach and share their practical knowledge. Class was fast paced but the teaching team made sure no one was left behind.
SKP Pte. Ltd.
Well-structured course for beginners with not much prior knowledge. The lessons are well paced. We all had to fill in a pre-bootcamp survey which helped the instructional team manage our learning expectations, which was great!
As someone with zero background in data analytics, this bootcamp has allowed me to gain a broader understanding. I also have a new found appreciation for the use of data analytics in my day to day work. Thanks for the great learning experience!
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