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Data Science

What is Data Science

Data science is a discipline that combines domain expertise, programming abilities, and a working knowledge of mathematics and statistics in order to derive meaningful insights from data. Data scientists apply machine learning algorithms to data such as numbers, text, images, video, and audio in order to create artificial intelligence (AI) systems capable of performing tasks that would normally require human intelligence. These systems, in turn, generate insights that analysts and business users can convert into tangible business value.

Why is Data Science Important ?

“Data is the new oil”.Companies are increasingly recognizing the value of data science, artificial intelligence, and machine learning. Regardless of industry or size, organizations seeking to remain competitive in the age of big data must develop and implement data science capabilities efficiently or risk falling behind.

Pre-requirements

1.English Language proficiency CEFR level of B2 or above.

2.Knowledge of basic programming concepts.

3.Good knowledge in math. (In case you don’t have this, a preparatory course is available: here).

Cost

Approximately 800 $, but you will get full coverage from the Syrian Youth Assembly and the program will be completely free 0 $.

Estimated time to finish this course

18 – 24  months 

Main Goal

The data science track aims to train and prepare individuals to be data scientists without any prior knowledge in the field.

Course Content

Compulsory Courses

Skill tracks on DataCamp:

1.Data Literacy Fundamentals:10 hours 5 Courses  Here 

1.Data Skills for Business:16 hours 5 Courses Here 

2.Data Scientist Career Track:88 hours 23 Courses 6 Projects 3 Skill Assessments Here 

2.Feature Engineering for Machine Learning in Python:4 hours 16 Videos 53 Exercises Here 

3.Extreme Gradient Boosting with XGBoost:4 hours 16 Videos 49 Exercises Here 

4.Machine Learning with PySpark:4 hours 16 Videos 56 Exercises Here 

5.Natural Language Processing in Python:25 hours 6 Courses Here 

6.Time Series with Python:20 hours 5 Courses Here 

7.Deep Learning Specialization:100 hours 5 Courses Here 

8.Generative Adversarial Networks (GANs) Specialization:60 hours 3 Courses Here

Optional Courses

1.R Programming:Here 

2.Natural Language Processing:Here 

3.Big Data with PySpark:Here

Final Project

A project assigned after the competition of the compulsory (+optional) courses.

Certifications and Accreditation

You will get many certificates, after the completion of each course you will get a certificate of completion of the course and explain all that you learned during this course, At the end of the program, you will receive a diploma from the Syrian Youth Assembly within the field of data science, explaining everything you learned during this program. This document will help those interested in employing you to understanding your skills and what you can do.

Future employment possibilities

1. Data Scientist

2.Machine Learning Engineer \ Scientist

3.Deep Learning Engineer

4.Data Engineer

5.Big Data Specialist

For more information please visit the link below :

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