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Incus Academy


“With accelerated digitization, Dataliteracy for all will be imperative. Countries that lead will emerge as the giants of tomorrow. Data is the new AIR.”

Leslie Lee Fook – Director AI, Analytics and Automation

Incus Academy

The Incus Academy was born out of industry and was married to academia. You don’t have the time for long four year programmes and need to have practical and immediate skills to perform in todays market.

The advent of the 4th industrial revolution and the availability of more people centric platforms have created the space for the every day citizen to reskill quickly and be ready for the jobs of tomorrow.

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Incus Data Analytics Workshop Invitation

Simple but powerful hands on training

Becoming a data ninja

Enhanced performance

Making data simple

Efficient data analysis

Practical training and use cases to help improve your data skills

Methodologies to guarantee success

Learn how to stand out with

Data analytics program outline

Introduction and background

In this 4th industrial revolution, new skills are need to be relevant and remain competitive. The aim of this programme is equip our region’s workforce with the skills and experience needed to be successful in this “new normal” and become globally competitive.

Description

The Data Analytics program is specifically designed and customized for non-technical business professionals who see the strategic value of data. They aspire to be data driven in their approach but end up spending countless hours crunching numbers in Excel and other traditional reporting tools. This two-day virtual workshop is also for managers who wait on monthly reports but need real-time information to make point in time decisions. Participants of this workshop session are able to obtain deep visibility and key insights to identify trends, patterns and abnormalities in their data quicker. Participants will be provided with hands-on exercises and the opportunity to develop and present highly impactful use cases that will have significant impact on the top and/or bottom line of their respective organizations. Participants are expected to attend all sessions and be intimately involved in the final use case assessment.

Target audience

Anyone that’s using Data to make decisions in their daily jobs.

Individuals who are seeking continuous improvement to their data analytic, and data visualization skills.

Professionals who use dashboards to track progress and organizational goals.

Duplicate existing rows to add more.

Individuals with a desire to use data with confidence to communicate, present and tell stories.

Strategic Leaders seeking greater efficiency and profitability. 

Anyone with a basic knowledge of Excel and can drag, drop and double-click.

Key learning outcomes

By the end of this workshop participants should be able to:

Cut the time spent generating reports by half

Use data to easily answer complex business questions

Professionals who use dashboards to track progress and organizational goals.

Visually analyse data for deeper insights and better communication

Work with many datasets irrespective of size and complexity.

Design and build highly insightful and impactful dashboard.

Develop a practical approach for the strategic adoption of analytics.

“Instead of talking about this for months, we got real results fast. We were able to able to come to market in weeks”
Gerard Scott
Sagicor Life Inc

Requirements

You will be required to have a Windows based laptop. Here are the minimum requirements

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Microsoft Windows Vista SP2 or newer (32-bit and 64-bit)

· Microsoft Server 2008 R2 or newer (32-bit and 64-bit)

Intel Pentium 4 or AMD Opteron processor or newer (SSE2 or newer required)

2 GB memory

750 megabytes minimum free disk space

Webcam

Internet explorer 8 or newer

Working microphone and speakers (Headset if possible for noise cancellation)

Data science program outline

Introduction and background

One of the overall objectives of this program is to enhance the skills of the labour pool in the financial services sector with data analytics and data science skills. The aim is to facilitate the continuous flow of skilled employees for the benefit of local and international financial firms, seeking to establish operations in Trinidad and Tobago; shared service centres, business process outsourcing centres involving banking, financial services and insurance, finance and accounting outsourcing operations. It is also envisioned that it will increase the attractiveness of the finance and accounting labour pool to foreign investors, and diversify the economy through the creation of additional high-paying jobs in the Financial Services Sector and the generation of foreign exchange earnings.

Target audience

To this end, the data science program is designed specifically for professionals and individuals from organizations in the financial sector with the relevant background, including educational qualifications and experience, in mathematics, statistics, programming, computer science, information science, actuarial science, data science or similar such qualifications. Experience in building predictive models, and exposure to Python, R or similar programming language would be an asset. To achieve the certification, candidates must attend at least 75% of the training session and must participate in the final proof of concept assessment.

The entire programme will be delivered and administered online using a combination of various learning management applications and enterprise communication platforms.

Expected outcomes

● Enhance their knowledge and skill in analytics, data visualization and communicating with data.

● Improve their abilities to explore, clean, prepare, interpret and cross-validate data.

● Select appropriate models, manage projects and apply DataRobot in production.

● Prepare and explore data using Alteryx and integrate it using DataRobot.

● Perform advanced techniques using SQL Queries to import data from data sources and stores.

● Utilize advanced options (partitioning) and Advanced Functionality – Compliance documentation.

● Explore time series, problem identification and build and evaluate predictive models.

● Develop machine learning use cases and present proof of concept.

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Leslie Lee Fook

Leslie Lee Fook is the Director and co-founder of INCUS Services Limited, a leading analytics and information security Consulting Firm based in Trinidad and Tobago. His career spans over twenty years in the Information Technology field with experience in Telephony, Infrastructure and Business Intelligence. He has managed enterprise-sized IT projects in the UK and throughout the Caribbean. Leslie is passionate about data literacy and open data and believes that we will all someday become data citizens. His vision is to foster the development of a Caribbean Analytics community that’s highly sought after for its talent and expertise by delivering custom, high impact solutions that empower everyone with the ability to gain actionable insight from their data in a very fast and easy manner.


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