Associate Enterprise Data Analysts Are Multilingual.
Upon completion, participants should be able to demonstrate each of the following;
- Collect, summarize, visualize and explore raw data to transform it into actionable business insights.
- Write a workable program to solve data related business problem using Python’s powerful data processing libraries.
- Learn how to think like a programmer by breaking complicated business problems into smaller ones and then solving these byte-sized problems using coding and automation.
- Uncover interconnected relations between data sets and generated comprehensive reports for business insights through drill-down analysis.
Introduction to Programming - 21 hours
Module that lays the foundation for beginners to learn how to convert simple concepts to workable code. Participants are introduced to the inner workings of a computer and how algorithms work.
Python Programming Fundamentals - 21 hours
Module will enable students to get started with Python programming by learning and getting hands on with the basic concepts. This is essential for becoming a productive data professional.
Python Programming Advances - 21 hours
This module will enable students to write a workable program to solve data related problem using Python’s powerful data processing libraries. This is hallmark of advanced ability for professionals.
Descriptive Statistic – 14 hours
This module will enable students to use data for effective decision and business impact. With the overwhelming volume of data available to organizations and businesses, it is important to correctly transform data to information then knowledge and finally wisdom.
SQL Essentials – 14 hours
SQL Essentials helps you speak in Structured Query Language (SQL) fluently and gives them the capability to participate in database application development teams. The database job market is promising for prospective experts.
Capstone – 14 hours
The Capstone module allows participants to apply their knowledge of databases management, statistical tools, and data visualisation techniques to communicate data-driven insights. It is a critical step for participants to build their confidence in using their newly acquired data analysis skills in an insightful and impactful way to drive change in organisational.