Company

Data Analysis & Data Science

Datec Learning Centers

This qualification reflects the role of a technical specialist, with high level skills and knowledge in Data Analysis & Data Science

Demand for data analysts and data scientists is skyrocketing – in fact, the U.S. Bureau of Labor Statistics reports that 11.5 million new data job openings will be available by 2026. Datec learning Centers prepares students with the skills required for those in..

Advance professional Diploma in Data Analysis & Data Science

Academic requirements :

Minimum Grade 12 (2.5 GPA) with General Math’s

Duration

2.5 Years  (4 Semesters + 6 On job Training)

Work experience: Not Required

Intake:  February & July

Award: Advance Diploma  PNGNQF Level 6

Delivery Mode: Classroom and online live

Technology Requirements: Online Users

Specifically, students are expected to successfully participate in lectures, laboratories, and projects using a portable computer (Laptop/Notebook/Desktop) with a substantial hardware configuration. Its minimal suitable configuration is 8GB of RAM (16GB is recommended); a modern 64-bit x86 multi-core processor (Intel i5 or superior); 250+ GB of available space in hard disk; WiFi card; and a recent version of Ubuntu, macOS, or Windows.

It is the responsibility of the student to ensure their laptop is functioning correctly and that they have full administrator rights to the machine. DLC cannot provide support to personal devices.

 

About the Program:

This qualification reflects the role of a technical specialist, with high level skills and knowledge in Data Analysis & Data Science

Demand for data analysts and data scientists is skyrocketing – in fact, the U.S. Bureau of Labor Statistics reports that 11.5 million new data job openings will be available by 2026. Datec learning Centers prepares students with the skills required for those in-demand jobs locally & globally. Each course builds upon the previous and offers the student the opportunity to move beyond data analyst and into data scientist.

 

A data analyst collects and stores data on sales numbers, market research, logistics, linguistics, or other behaviors. They bring technical expertise to ensure the quality and accuracy of that data, then process, design, and present it in ways to help people, businesses, and organizations make better decisions.

 

A data scientist turns raw data into valuable insights that an organization needs in order to grow and compete. They interpret and analyse data from multiple sources to come up with imaginative solutions to problems.

 

Subjects:

Basic Computing

Power BI: Data Analysis - Professional

Basic Computer Networks

Data Science for Business Professionals (DSBIZ) 

Introduction to Programing

Introduction to Programming with Python 

Database Design: A Modern Approach

Advanced Programming Techniques with Python

Business Skills


 

Using Data Science Tools in Python

Data Science Practitioner

SQL Querying Fundamentals

Data Wrangling with Python

PLSQL  

Data Visualization with Python

Data Analysis and Visualization with Microsoft Excel

AI for Business Professionals (AIBIZ )

Programming and Data Wrangling with VBA and Excel

Real-time Project  & On Job Training (Practice)