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DATA ANALYSIS AND VISUALIZATION

Training

Our Training program covers all of the functionality knowledge that you would expect, and is flexible to focus on what you need. Through our training programmes, you will learn the skills to create beautiful visualizations, to ask and answer questions of your data, and learn lots about best practices and dashboard design along the way. Let our experts kick start your data analytics journey today

TRAINING MODULES
FUNDAMENTALS
INTERMEDIATE
ADVANCED
FUNDAMENTALS

In this course, you will learn and master fundamental skills for analyzing your data. You will learn to connect to data sources, explore the Desktop workspace, and use fields to build essential charts. Finally, you will create a dashboard after hands-on experience with the workflow; that help guide specific data analysis

 

PREREQUISITE

No prerequisite but a fair data literacy and data analytics literacy will be an added advantage

 

Course includes:

A course manual containing key concepts on each topic covered and hands-on activities to reinforce the skills and knowledge attained. Data for hands-on practice and practical sessions would be provided

 

Duration : 1 week

 

Course Content

Introduction to Data Analytics Tools

Infographic design basics

Simple Data Connections and the Data Connection Interfaces

Understanding the workflow and Main Software Interfaces

Building your dashboard and Best practices

 

Expected Outcome

At the end of this course, participants should have had understanding of the data analytics, and the available tools to adopt. Participants should have some basic understanding in infographic design and should have done basic analyses with the various analytical tools

INTERMEDIATE

This course is designed to expand your skills and distinguish yourself as a power user of adopted data analytics and visualization tool. It is structured for those who have some working experience with data analytics and visualization and want to take it to the next level

 

PREREQUISITE

Fundamentals or equivalent experience

 

Course includes:

A course manual containing key concepts on each topic covered and hands-on activities to reinforce the skills and knowledge attained. Data for hands-on practice and practical sessions would be provided. Domain project case study materials as immediate reference after course

 

Duration : 2 weeks

 

Course Content

Overview of Monitoring, Evaluation and Learning Principles

Data quality assessment methods

Writing Calculations and Queries; common expressions and scenarios

UX design principles

Deploying and Publishing your dashboard

Introduction to mapping and spatial data analysis

 

Expected Outcome

At the end of this course, participants should be able to design and deploy useful analytical dashboards for various projects. Participants will also have understanding in KPI monitoring, evaluation and learning requirements for projects and will be able to write relevant calculations and queries to fetch data to answer the right questions

ADVANCED

Explore complex data visualization challenges and dig deeper into your data. You will learn advanced uses for calculations by applying them to real world scenarios. Get a better understanding of how to artfully prepare and organize your data and walk away having a better grasp of advanced building techniques for creating innovative analysis and dashboards

 

PREREQUISITE

This is an advanced-level class. Participants must have a solid understanding of calculations before attending this class

 

Course includes:

A course manual containing key concepts on each topic covered and hands-on activities to reinforce the skills and knowledge attained. Data for hands-on practice and practical sessions would be provided

 

Duration : 2 weeks

 

Course Content

Interactive mapping and Spatial Analysis

Advanced Formatting and Dashboard Best Practices

Advanced Analytics

Performance Tuning

Participant Project

 

Expected Outcome

At the end of this course, participants should be very comfortable in adopted data analytical tools to do complex and very insightful analyses integrating interactive mapping and spatial analyses for more location intelligent dashboards. He/she must be able to optimize BI setup for high performance as and when needed. He/she must be ready to transfer knowledge in-house