العربية
Program Format
Online
Program Type
Self-paced
Program Duration
7 Hours
Language
Arabic
Program Details
Program Highlights
Application Process
FAQs
Enrollment Status
Applications open
Applications open
01 Jan 2025
Applications close
15 Dec 2025
Program Format
Online
Program Type
Self-paced
Program Duration
7 Hours
Language
Arabic
Experience Introduction:
Experience Details:

Company Overview:

STC is a leading digital company, always aiming for progress, striving for development and innovation, always thinking about the future to remain at the forefront as a leading company. STC also provides digital solutions and services in various fields, including communications, information technology, digital payments, digital media, cybersecurity, and other advanced digital fields to lead the digital transformation locally and regionally. 

 

Experience Overview:

Why Join the Virtual work experience?

The aim of this program is to create a complete and realistic virtual work experience aimed for people who want to explore the nature of work in the field of data analysis at STC

Experience working in the field of data analytics as a scientist and data analyst at stc, and explore ways to use data and storytelling to make appropriate recommendations. The experience is suitable for beginners and intermediates people who are interested in the field of data analysis. 

This work experience consists of 4 tasks 

The first task: study and analyze user behavior

The second task: to build a model to predict user behavior

Task Three: Make recommendations using machine learning algorithms

Task Four: Storytelling of data across presentations

Program Prerequisites:

The Virtual Work Experience Program is available for young Saudi men and women who want to explore the field of data analysis:   

  • Recent graduates 
  • Final year university students
  • For recent employees wishing to develop their job skills
Acquired Skills:
Use statistical analysis tools
Use data for prediction
Use machine learning algorithms
Provide appropriate recommendations
Program Highlights:
Online Simulated Training
The program is 7 hours of simulated online and self-paced training, making it flexible and accessible for everyone.
Explore Career Path
Acquire in-depth experience that helps you in your career shift or identify the best career path for you through exposure to a diverse range of specializations in the job market.
Improved Job Prospects
Completing these experiences demonstrates to employers your commitment to learning and readiness to take on specific job roles through tasks that mirror daily professional responsibilities.
Statistics about Experience:
Beneficiaries Feedback:
  • “This program gave me the opportunity to gain a real-world experience in the real world, how to deal with data effectively, and gain new knowledge while working on the tasks presented to me, as a graduate looking for something to increase her knowledge about the job market and how to work in real life”

 

  • A very excellent program and I benefited a lot from the experience, as it is easy to use and provides the necessary tools for the data analysis process and referring to sources to benefit more. Through the experience, my technical skills increased, and I developed more in the field of data analysis.”

 

  • “The thing I liked most about the program is the easy and flexible user interface, because it makes interacting with the program quick and easy to understand even for new users”

 

  • “I thank everyone who contributed to this program to develop students’ skills in the field of data science. It was a valuable and useful experience, and I enjoyed it”
Application Process:
  1. Sign up
    Create your account and set up your profile on Misk Hub.
  2. Apply
    Click "enroll now" on the program page.
  3. Fill out the application form
    Complete the application form by providing your information and submit it to receive an email from Misk Hub.
  4. Application confirmation
    Successful applicants will receive an email confirming their program enrollment and an access link to the training platform for all Virtual Work Experiences.
  5. Start learning
    Begin your learning journey and enjoy the experience!
Frequently Asked Question:

Virtual work experiences target recent graduates, final year undergraduate students or new employees, but it is preferable for the candidate to have a scientific background in the field of data science and analysis.

We recommend performing the experience tasks in sequence: watching the video clips and reading the text description carefully and accurately to ensure what is required in each task, while paying attention to reading the supporting sources and other useful references, and good luck.

You can contact us through the personal assistant at the bottom of the main screen and then choose "Contact Us".

You can upload the required files in the following formats: Word, Excel, PDF, JPG, and if you need to upload any other unsupported format, you can compress the file and upload it in zip format (keeping in mind that the maximum uploaded file is 5MB).

Yes, you need to download a program that helps you read. ipynb files such as Anaconda 3. After downloading it, you can use one of the compatible reading programs such as Jupyter Lab included in the program to run the files.

Having experience is not mandatory, but it will help you understand the content of the experiment and perform its tasks in the best way.

You can contact them directly through the "Contact Us" page on the Anaconda website, or you may find the solution to your technical problem on their support page.

Can’t find what you need? Contact Us

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