Business Technology

Data Analytics and Business Intelligence Technology

This pathway equips learners with the skills to gather, describe, and analyze data and make informed decisions across various fields, including operations, risk management, finance, and accounting. Additionally, learners will gain the ability to analyze economic and financial decisions in complex systems with multiple players. The pathway covers a range of topics such as probability, statistics, hypothesis testing, data science, and AI concepts, use cases, and applications. The pathway also focuses on developing relevant competencies and skills required to deliver tasks and mandates effectively in medium to large-scale organizations.

500JD

Courses in this Pathway

6 Courses

Unlimited Access

Yes

Certificate of Completion

Yes

Pathway Overview

This pathway equips learners with the skills to gather, describe, and analyze data and make informed decisions across various fields, including operations, risk management, finance, and accounting. Additionally, learners will gain the ability to analyze economic and financial decisions in complex systems with multiple players. The pathway covers a range of topics such as probability, statistics, hypothesis testing, data science, and AI concepts, use cases, and applications. The pathway also focuses on developing relevant competencies and skills required to deliver tasks and mandates effectively in medium to large-scale organizations.

Learning Outcomes

Create the necessary skills to analyze data using practices, tools and techniques required of specialized business analysts in the global market.

Enhance business intelligence competencies in exploring, interpreting and detailing data, and execute proper data aggregation and modeling

Build structures abilities to process Data, merge and use in preparing reports in analytical processes

Develop business intelligence models, dashboards, scorecards, and manage reports

Create advanced reports based on dynamic presentation methods and techniques

Create a detailed business analysis and identify opportunities and solutions for businesses

Define business requirements and communicate to stakeholders and secure proper functional technical scoping.

Build abilities of Forecasting and planning.

Field of practice

Business Analyst

Data Analyst

Technical Requirements

Good Study Environment

Good Internet Connection

A computer with good processing power and memory to run the necessary software

Basic knowledge of data analysis software such as ; R, Python, SQL, or Excel

Basic knowledge of data analysis tools such as ; Jupyter Notebooks, RStudio, or Power BI

Courses in this accelerated pathway

This course aims at preparing trainees to many components needed for data analysts, including managerial aspects, statistical analysis, financial and accounting aspects. The course is structured in a very interactive manner where trainees get to be quizzed and tested on all introduced concepts. The course starts with a general introduction to break the ice, then moves into important managerial consideration, and some financial and accounting consideration, before ending with introducing the main statistical principles used by successful data analysts.
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This course builds on the knowledge gained in course 1 and enhances trainee’s knowledge in managerial aspects relevant to the work of modern data analysis. The course covers management information system, basics of project management, basics of information and data security and ends with a wrap up about business acumen. By the end of this course, trainees will be able to greatly appreciate their role in creating and maintaining business success as a data analyst.
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This course targets to build a specific set of techniques, competencies and practices that can be applied to perform the continuous exploration, and investigation of business data in order to apply outputs to gain more Business value by generating more revenues, increase efficiency, reduce cost and optimize customer experience. The goal is that trainees should be able to have structured methodologies to obtain insights about a business that can lead to improved evidence-based decision-making.
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The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge with a journey to Data Structure & Design. The second is a practical introduction to the tools and technologies that will be used in to deliver data science use-cases like Big Data, Data Visualization, Cloudification, version control, markdown, git, GitHub, Python, R, and RStudio. This Specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, learners will have a portfolio demonstrating their mastery of the material.
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Learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias and data governance.
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This course builds on the previous courses in building the business sense for trainees, by earning leadership skills. Trainees will learn how leaders behave in the business environment, how to become leaders, and why it is a great thing to lead and work for great leaders. At the end of the course, trainees will realize that leadership skills can be learned and earned by anyone who is sincerely willing to change.
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Pathway Team

Yusra Alkhalaileh

API Developer

Eng. Shorouq Halawani

Innovation and Entrepreneurship Consultant

Eng.Sinan Kamal

Data & AI Director at Orange

Prof. Abdallah Abdallah

CEO of the Amman Chamber of Industry