Training

Meet Your Instructor

Okoampah Philip Kwaning

Okoampah Philip Kwaning is a young, astute and renown data analyst and data visualization expert. He has been acknowledged globally as one of the best and brightest Data Analysts. Philip is currently a leader for the Accra Tableau User Group in Ghana.

Philip is passionate about developing and deploying business intelligence solutions that help clients find valuable insights into their data. Besides building dashboards, he also trains individuals and businesses on ways to improve their existing reports to ensure that they meet best practices.

Training Modules

  • FUNDAMENTALS
  • INTERMEDIATE
  • ADVANCED

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

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

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