Data Analytics is an integral part of every business in Singapore. To thrive in today’s business landscape, it is crucial to learn how to leverage data to make critical business decisions.
Data Analytics is an integral part of every business in Singapore. To thrive in today’s business landscape, it is crucial to learn how to leverage data to make critical business decisions.
Learn industry tools: Excel, SQL and Tableau to analyse big data and create dashboards and visualisations to share your findings.
Our graduates from this Data Analytics course include individuals from GIC, GovTech, LinkedIn, JP Morgan, UBS, Citibank, Oracle, Lazada, ExxonMobil, and more.
Vertical Institute’s Data Analytics course in Singapore is designed to equip individuals with the most in-demand skills and best practices in data analytics, covering industry tools: Excel, SQL and Tableau. Participants will culminate their learning by developing a capstone project to solve a real-world big data problem in the fintech industry.
Vertical Institute prepares individuals for the jobs of tomorrow. We specialize in teaching in-demand skills, building the next generation of changemakers and inventors through our world-class tech courses and certifications.
VI is accredited by the Institute of Banking & Finance (IBF) Singapore. All our courses are government-subsidized by IBF, eligible for SkillsFuture Credits usage, and NTUC UTAP Funding.
With the rise of data analytics applications, it is crucial to learn how to leverage on data analytics to extract useful information from large amounts of data and integrate business expertise with knowledge of data, to derive actionable insights.
This course provides participants with the knowledge and skills to work with and analyze data and work with business cases using Microsoft Power BI.
Accounting has always been about analytical thinking. The skillset that accountants have needed to perform math and to keep order has evolved from pencil and paper, to typewriters and calculators, then to spreadsheets and accounting software.
In this course, participants will be introduced to the basic concepts of Data Analytics. This knowledge could help us understand our data better, and in many contexts enable us to make better decisions.
Learn how to use popular Python libraries for data visualization, such as Matplotlib, Seaborn, Plotly, or Bokeh to create basic visualizations like bar charts, line plots, scatter plots, histograms, and pie charts.
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