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Course Outline

Big data and analytics promise to change virtually every industry and business function this new decade. As businesses are constantly being faced with massive amounts of data in structured and unstructured forms, effective data analysis and visualization has become imperative today. While data analytics tools help extract valuable information from raw and unstructured data and represent it in an intelligent manner, data analysts must learn how to leverage on these tools and to adopt a comprehensive framework to transform data into valuable assets to assist organizations in improving revenues, reducing costs, and in seizing opportunities.

From large corporate houses to local retailers, from public-sector organizations to online businesses, data analysis and visualization empowers every sector and industry. Keeping in mind the significance of data analytics to businesses, course participants can pursue this professional certification that can help build their skills in this arena, enabling attractive job prospects.



Course Objectives

By the end of the course, participants will be able to:

  • Examine the importance of data analytics in different professional fields
  • Recognize how data and analytics can be used to extend different professional domains
  • Recognize the importance of making room for empirical inquiry when solving problems
  • Examine characteristics of an analytical mindset in business contexts
  • Evaluate a framework for making data-driven decisions with big data
  • Recognize factors that make data useful
  • Transform data from unstructured to structured
  • Examine fundamental principles that underly data visualizations
  • Identify use cases for different charts, and then build those charts
  • Create basic and advanced charts in Microsoft Excel and Tableau
  • Add dimensions and analytics to charts
  • Discuss how data science will shape the future of analytics and decision-making



Target Audience

Data analysts, marketers, accountants, controllers, business executives and any other person assuming a business functions that requires data-driven analysis for decision-making.



Key Topics

The key topics covered in the course are:

  • Big data
  • Data analytics
  • ​Empirical inquiry
  • Developing analytical mindset
  • FACT framework 
  • Data types
  • ​Structured versus unstructured data
  • ​Data relationships
  • Data visualization
  • MS Excel Pivot tables
  • MS Excel Pivot charts
  • ​Visualization in Tableau
  • Tableau Analytics
  • Communicating analysis an visualizations to target audience



Examination

Participants should attend at least 4 out of the 5 classes.

Participants need to complete two assignments successfully.

At the end of the course, participants need to complete a final written exam.

A Certificate of Completion is awarded if the course is successfully fulfilled. Participants also receive an official transcript for their grades and course credits.



Course Fee in Aruban Florins

Per participant: AFl. 795.=, including turnover taxes.

Includes: course material, handouts, snacks, coffee and refreshments.



Location and Dates

Location: EC&T Office & Training Facility (Newtonstraat 1-A)

Next class starts on: Wednesday January 20, 2021
Number of classes: 5 (1x class per week)
Time: 6:30 PM - 9:00 PM​

Exam date: Wednesday March 3, 2021


We reserve the right to alter dates, content, venue and trainer.



Discount Plans and Cancellation Policies

We offer discount plans for group bookings and in-house course and workshop facilitation. Click here for details about our discount plans and cancellation policies.

​​​​Length:           5 classes



Effort:             2-3 hours per week



Level:              Beginner/ 

                          Intermediate


Language:     English or

                          Papiamento *



Exam:             Written Exam



​Credits:          2.5 EC's



Fee:                 AFl.   795.=


* Course language determined by audience's

   prefererence

DATA ANALYTICS AND

VISUALIZATION FOR

BEGINNERS