Data Science Unit

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Director: Dr. Abdelrahman EID

Introduction:

An-Najah National University’s Data Science consulting center, situated within An-Najah Innovation Park offers consultations and support for data analysis and business analytics in all areas to overcome data science challenges arising in research, education, health, business and organization management. The center provides highly qualified expertise in deep machine learning, data mining, big data analysis, artificial intelligence, business analytics, and statistical analysis.

Our services:

For academics seeking statistical guidance on research projects, our services are tailored to meet your needs.
If you’re a researcher in the midst of drafting a national or international project and require assistance with integrating statistical components into your application, our team is here to provide the support you need.
Graduate and undergraduate students seeking statistical support for theses or research projects will find our services suitable.
Industrial or business clients seeking business analytics and intelligence solutions will benefit from our expertise. We employ advanced data-science tools to explore datasets, aiding data-driven decision-making. We will analyze your datasets directly and provide you with the customized technical report.
If you are looking for data science experts to develop predictive tools using cutting-edge deep learning software such as TensorFlow or PyTorch, you will find our services ideal.
If lacking computational power equipment and data management tools, we have the access to powerful GPU-clusters and state-of-the-art data management systems enables us to handle and analyze large datasets on high-performance parallel processing platforms.
If you are looking for consultations or tailored trainings for your team in Data science, Machine learning techniques, and programming languages like: R and Python, we are the right address !

Offerings:

The Data Science center extends its training and consultation services to faculty, researchers, students, as well as industrial, governmental, and non-governmental organizations. Tailored consultation services addressing various data science-related inquiries are offered. Feel free to reach out to us directly to discuss your specific needs. We are available, by appointment, to assist you with any data science-related matters.

Proficiency:

The Data Science Center specializes in providing training and consultations encompassing data management, business analytics, high-performance data processing, and the utilization of cutting edge data science techniques. Our expertise lies in:

Effectively managing and processing large and unstructured datasets for analysis.
Implementing advanced data science methodologies, including statistical analysis, machine learning, and artificial intelligence.
Conducting Exploratory Data Analysis (EDA) for visualizing and interpreting data. • Optimizing code for high-performance data analytics (HPDA).
Delivering comprehensive business analytics and intelligence services, covering descriptive,predictive, and prescriptive analytics.

Consultations:

The center offers two consultation options:

Advisory Consultation:Schedule a 45-minute appointment via phone, email, or our online platform. Meetings can be held at our center in An-Najah Innovation Park or conducted remotely via Zoom.
Engagement Consultation:Request an appointment by phone, email, or online. Clarify your needs related to advanced machine learning and statistical analyses. Upon a fee-based agreement, our center will arrange a meeting at your convenience and assign an expert to assist with your project.

For either consultation type, please complete a form detailing your background, project, and requirements. Once submitted, the center will assign an expert and arrange a meeting. During the meeting, our expert will inquire about your research, gaining a deeper understanding to outline a solution approach.

Your application must explain : the research objectives, hypotheses, design of the experiment, data collection method, current progress, research and time constraints.