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{"CourseNameAr":"علوم البيانات: من الصفر إلى الاحتراف","CourseNameEn":"Data Science: From Zero to Professional","CategoryNameAr":"نظم معلومات و تكنولوجيا","CategoryNameEn":"IT, Technology and Software","SubCategoryNameAr":"علوم البيانات","SubCategoryNameEn":"Data Science","Skills":"التعرف على لغة Python~التعرف على المكتبات المستخدمة فى الذكاء الاصطناعي وعلوم البيانات~التطبيق و انشاء 10 مشاريع بالغة البايثون وعلوم البيانات","TagNameEn":[],"TagNameAr":[],"guid":"721a1f10-0724-4deb-8597-81a00b13ad3e","Fees":0.0,"ID":3240,"CategoryID":"5","CountryID":"0","CountryCode":"0","CountryName":"","CourseType":"Online ","SubCategory":"Data Science","SubCategoryID":36,"CourseTypeID":"2","LanguageID":"1","CourseImageURL":"69e457fb-fba8-4c04-9cb8-73c6a8491588.jpeg","PeriodTypeID":"1","PeriodType":"Specified Date","StartDate":"09/11/2021","EndDate":"12/07/2021","FeesTypeID":"2","FeesType":"Free ","FeesTypeName":"USD","CreatedDate":"2021-09-08T19:03:18.523","FeesValue":0.0,"FeesUSD":0.0,"FeesUSDDiscounted":0.0,"FeesDiscounted":0.0,"FeesDiscountedPercentage":0.0,"SDate":"2021-09-11T00:00:00","EDate":"2021-12-07T00:00:00"}

{"CourseNameAr":"مقدمة للنماذج الخطية والجبر المصفوفى","CourseNameEn":"Introduction to Linear Models and Matrix Algebra","CategoryNameAr":"نظم معلومات و تكنولوجيا","CategoryNameEn":"IT, Technology and Software","SubCategoryNameAr":"علوم البيانات","SubCategoryNameEn":"Data Science","Skills":"Matrix algebra notation,Matrix algebra operations,Application of matrix algebra to data analysis","TagNameEn":[],"TagNameAr":[],"guid":"865cfc51-f6cc-4ca5-8dc3-1cbb01c28606","Fees":0.0,"ID":1547,"CategoryID":"5","CountryID":"0","CountryCode":"0","CountryName":"","CourseType":"Online ","SubCategory":"Data Science","SubCategoryID":36,"CourseTypeID":"2","LanguageID":"2","CourseImageURL":"11e8dbb2-4da6-4120-9685-0f2a22d21ed6.jpg","PeriodTypeID":"1","PeriodType":"Specified Date","StartDate":"11/21/2022","EndDate":"07/12/2023","FeesTypeID":"2","FeesType":"Free ","FeesTypeName":"USD","CreatedDate":"2020-07-21T21:43:29.567","FeesValue":0.0,"FeesUSD":0.0,"FeesUSDDiscounted":0.0,"FeesDiscounted":0.0,"FeesDiscountedPercentage":0.0,"SDate":"2022-11-21T00:00:00","EDate":"2023-07-12T00:00:00"}

{"CourseNameAr":"تحليل بيانات بايثون","CourseNameEn":"Python Data Analysis","CategoryNameAr":"نظم معلومات و تكنولوجيا","CategoryNameEn":"IT, Technology and Software","SubCategoryNameAr":"علوم البيانات","SubCategoryNameEn":"Data Science","Skills":"how to set up your analysis environment and provides a refresher on the basics of working with data structures in Python.,using NumPy to identify and visualize weather patterns and using pandas to analyze the popularity of baby names over the last century.","TagNameEn":[],"TagNameAr":[],"guid":"180ea978-4749-4b7d-80ed-eb3a6448c4f5","Fees":23.99,"ID":769,"CategoryID":"5","CountryID":"0","CountryCode":"0","CountryName":"","CourseType":"Online ","SubCategory":"Data Science","SubCategoryID":36,"CourseTypeID":"2","LanguageID":"2","CourseImageURL":"cb7df06f-8600-45d6-bd14-e2a80f1ca103.jpg","PeriodTypeID":"2","PeriodType":"On Demand","StartDate":"","EndDate":"","FeesTypeID":"1","FeesType":"Paid","FeesTypeName":"USD","CreatedDate":"2020-04-15T12:01:31.667","FeesValue":23.99,"FeesUSD":24.0,"FeesUSDDiscounted":24.0,"FeesDiscounted":90.0,"FeesDiscountedPercentage":0.0,"SDate":"2023-02-06T09:06:03.3881696-07:00","EDate":"2023-02-06T09:06:03.3881696-07:00"}

{"CourseNameAr":"أسس علوم البيانات: الأساسيات","CourseNameEn":"Data Science Foundations: Fundamentals","CategoryNameAr":"نظم معلومات و تكنولوجيا","CategoryNameEn":"IT, Technology and Software","SubCategoryNameAr":"علوم البيانات","SubCategoryNameEn":"Data Science","Skills":"Assess the skills required for a career in data science.,Evaluate different sources of data, including metrics and APIs.,Explore data through graphs and statistics.,Discover how data scientists use programming languages such as R, Python, and SQL.","TagNameEn":[],"TagNameAr":[],"guid":"119d1708-a443-4113-bd49-f91f2d8be004","Fees":33.32,"ID":1126,"CategoryID":"5","CountryID":"0","CountryCode":"0","CountryName":"","CourseType":"Online ","SubCategory":"Data Science","SubCategoryID":36,"CourseTypeID":"2","LanguageID":"2","CourseImageURL":"5d5d459f-4bed-459b-ab7b-6efffe1b5f3b.jpg","PeriodTypeID":"2","PeriodType":"On Demand","StartDate":"","EndDate":"","FeesTypeID":"1","FeesType":"Paid","FeesTypeName":"USD","CreatedDate":"2020-06-01T20:48:44.587","FeesValue":33.32,"FeesUSD":33.0,"FeesUSDDiscounted":33.0,"FeesDiscounted":125.0,"FeesDiscountedPercentage":0.0,"SDate":"2023-02-06T09:06:03.5443115-07:00","EDate":"2023-02-06T09:06:03.5443115-07:00"}

{"CourseNameAr":"أسس علوم البيانات: هندسة البيانات","CourseNameEn":"Data Science Foundations: Data Engineering","CategoryNameAr":"نظم معلومات و تكنولوجيا","CategoryNameEn":"IT, Technology and Software","SubCategoryNameAr":"علوم البيانات","SubCategoryNameEn":"Data Science","Skills":"Working with systems and schemas,Managing of a good data pipeline,Setting up an environment,Loading and profiling data,Testing quality","TagNameEn":[],"TagNameAr":[],"guid":"41795871-3e3c-46d6-8efd-3f128a837c3d","Fees":18.93,"ID":1127,"CategoryID":"5","CountryID":"0","CountryCode":"0","CountryName":"","CourseType":"Online ","SubCategory":"Data Science","SubCategoryID":36,"CourseTypeID":"2","LanguageID":"2","CourseImageURL":"e5ed3485-c9ba-45b6-b0af-6fd5a9ac2561.jpg","PeriodTypeID":"2","PeriodType":"On Demand","StartDate":"","EndDate":"","FeesTypeID":"1","FeesType":"Paid","FeesTypeName":"USD","CreatedDate":"2020-06-01T20:53:37.637","FeesValue":18.93,"FeesUSD":19.0,"FeesUSDDiscounted":19.0,"FeesDiscounted":71.0,"FeesDiscountedPercentage":0.0,"SDate":"2023-02-06T09:06:03.5443115-07:00","EDate":"2023-02-06T09:06:03.5443115-07:00"}

{"CourseNameAr":"علوم البيانات - العمل مع البيانات","CourseNameEn":"Data Science - Working with Data","CategoryNameAr":"نظم معلومات و تكنولوجيا","CategoryNameEn":"IT, Technology and Software","SubCategoryNameAr":"علوم البيانات","SubCategoryNameEn":"Data Science","Skills":"Describe the flow of data in a Azure ML experiment,Discuss the differences between using R and Python,Identify which programming language suits you better R or Python","TagNameEn":[],"TagNameAr":[],"guid":"b9b84893-c7f9-4fc3-aa79-cb36cd755932","Fees":0.0,"ID":1271,"CategoryID":"5","CountryID":"0","CountryCode":"0","CountryName":"","CourseType":"Online ","SubCategory":"Data Science","SubCategoryID":36,"CourseTypeID":"2","LanguageID":"2","CourseImageURL":"09b97ec0-a4da-414b-be4a-63ec469855f6.jpg","PeriodTypeID":"2","PeriodType":"On Demand","StartDate":"","EndDate":"","FeesTypeID":"2","FeesType":"Free ","FeesTypeName":"USD","CreatedDate":"2020-06-16T17:54:25.323","FeesValue":0.0,"FeesUSD":0.0,"FeesUSDDiscounted":0.0,"FeesDiscounted":0.0,"FeesDiscountedPercentage":0.0,"SDate":"2023-02-06T09:06:03.5912362-07:00","EDate":"2023-02-06T09:06:03.5912362-07:00"}

{"CourseNameAr":"ما هو علم البيانات؟","CourseNameEn":"What is Data Science?","CategoryNameAr":"نظم معلومات و تكنولوجيا","CategoryNameEn":"IT, Technology and Software","SubCategoryNameAr":"علوم البيانات","SubCategoryNameEn":"Data Science","Skills":"Defining Data Science and What Data Scientists Do,Data Science Topics,Data Science in Business","TagNameEn":[],"TagNameAr":[],"guid":"e150062b-08f7-435b-b3e9-029f1f3deb47","Fees":0.0,"ID":1393,"CategoryID":"5","CountryID":"0","CountryCode":"0","CountryName":"","CourseType":"Online ","SubCategory":"Data Science","SubCategoryID":36,"CourseTypeID":"2","LanguageID":"2","CourseImageURL":"dc50649e-205f-495d-9fad-a3ef78fefb6b.jpg","PeriodTypeID":"2","PeriodType":"On Demand","StartDate":"","EndDate":"","FeesTypeID":"2","FeesType":"Free ","FeesTypeName":"USD","CreatedDate":"2020-07-01T16:59:33.577","FeesValue":0.0,"FeesUSD":0.0,"FeesUSDDiscounted":0.0,"FeesDiscounted":0.0,"FeesDiscountedPercentage":0.0,"SDate":"2023-02-06T09:06:03.6381075-07:00","EDate":"2023-02-06T09:06:03.6381075-07:00"}

{"CourseNameAr":"تعلم أساسيات بايثون لتحليل البيانات","CourseNameEn":"Learn Python basics for data analysis","CategoryNameAr":"نظم معلومات و تكنولوجيا","CategoryNameEn":"IT, Technology and Software","SubCategoryNameAr":"علوم البيانات","SubCategoryNameEn":"Data Science","Skills":"Use data and data types in Python.,Manage program logic in Python.,Write functions in Python.","TagNameEn":[],"TagNameAr":[],"guid":"c62055e3-248e-4332-8e04-e522259ea086","Fees":0.0,"ID":1429,"CategoryID":"5","CountryID":"0","CountryCode":"0","CountryName":"","CourseType":"Online ","SubCategory":"Data Science","SubCategoryID":36,"CourseTypeID":"2","LanguageID":"2","CourseImageURL":"5972094d-30ed-4528-9e7f-ffcb8152c8e7.jpg","PeriodTypeID":"2","PeriodType":"On Demand","StartDate":"","EndDate":"","FeesTypeID":"2","FeesType":"Free ","FeesTypeName":"USD","CreatedDate":"2020-07-06T17:52:03.863","FeesValue":0.0,"FeesUSD":0.0,"FeesUSDDiscounted":0.0,"FeesDiscounted":0.0,"FeesDiscountedPercentage":0.0,"SDate":"2023-02-06T09:06:03.6381075-07:00","EDate":"2023-02-06T09:06:03.6381075-07:00"}

{"CourseNameAr":"تعلم قواعد البيانات العلائقية","CourseNameEn":"Learning Relational Databases","CategoryNameAr":"نظم معلومات و تكنولوجيا","CategoryNameEn":"IT, Technology and Software","SubCategoryNameAr":"علوم البيانات","SubCategoryNameEn":"Data Science","Skills":"Identify the three rules of relations.,Summarize the four stages of developing a relational database.,Describe a strategy one might use to ensure a database remains flexible in terms of the questions a user can ask.,Explain how to avoid scope creep.","TagNameEn":[],"TagNameAr":[],"guid":"f5c35d22-6771-4f7f-ab52-0358997cea11","Fees":38.12,"ID":1473,"CategoryID":"5","CountryID":"0","CountryCode":"0","CountryName":"","CourseType":"Online ","SubCategory":"Data Science","SubCategoryID":36,"CourseTypeID":"2","LanguageID":"2","CourseImageURL":"d2e99f3d-61a5-470b-afbf-ce3a9f72d055.jpg","PeriodTypeID":"2","PeriodType":"On Demand","StartDate":"","EndDate":"","FeesTypeID":"1","FeesType":"Paid","FeesTypeName":"USD","CreatedDate":"2020-07-12T17:11:55.923","FeesValue":38.12,"FeesUSD":38.0,"FeesUSDDiscounted":38.0,"FeesDiscounted":143.0,"FeesDiscountedPercentage":0.0,"SDate":"2023-02-06T09:06:03.6693484-07:00","EDate":"2023-02-06T09:06:03.6693484-07:00"}

{"CourseNameAr":"مقدمة في علم البيانات الاحترافي","CourseNameEn":"Introduction to Professional Data Science","CategoryNameAr":"نظم معلومات و تكنولوجيا","CategoryNameEn":"IT, Technology and Software","SubCategoryNameAr":"علوم البيانات","SubCategoryNameEn":"Data Science","Skills":"فهم أساسيات الإحصاء الوصفي والقدرة على الاستعلام عن المعايير الوصفية للبيانات مثل المتوسط والوسيط.~فهم أساسيات تنظيف البيانات والقدرة على تنظيف البيانات باستخدام مكتبة pandas~فهم الأساسيات النظرية لنمذجة البيانات والقدرة على بناء نماذج تنبؤية أو تصنيفية باستخدام تعلم الآلة و مكتبة scikit-learn مثل نموذج تحليل المشاعر.~فهم الأساسيات النظرية للتحقق من النماذج والقدرة على تقييم النماذج التنبؤية والتصنيفية باستخدام scikit-learn.","TagNameEn":[],"TagNameAr":[],"guid":"70373ae8-4841-4028-888d-25106ad41d1b","Fees":746.45,"ID":2013,"CategoryID":"5","CountryID":"0","CountryCode":"0","CountryName":"","CourseType":"Online ","SubCategory":"Data Science","SubCategoryID":36,"CourseTypeID":"2","LanguageID":"1","CourseImageURL":"e901c9c1-8dee-458e-b487-4fe8727b5bc6.jpeg","PeriodTypeID":"2","PeriodType":"On Demand","StartDate":"","EndDate":"","FeesTypeID":"1","FeesType":"Paid","FeesTypeName":"USD","CreatedDate":"2021-01-12T17:27:41.417","FeesValue":746.45,"FeesUSD":746.0,"FeesUSDDiscounted":746.0,"FeesDiscounted":2800.0,"FeesDiscountedPercentage":0.0,"SDate":"2023-02-06T09:06:03.9037678-07:00","EDate":"2023-02-06T09:06:03.9037678-07:00"}

{"CourseNameAr":"علوم بيانات بايثون للمبتدئين","CourseNameEn":"Python Data Science for Beginners","CategoryNameAr":"نظم معلومات و تكنولوجيا","CategoryNameEn":"IT, Technology and Software","SubCategoryNameAr":"علوم البيانات","SubCategoryNameEn":"Data Science","Skills":"Introduction to Python Data Science~Data Cleaning Packages~Data Visualization packages","TagNameEn":[],"TagNameAr":[],"guid":"cfad78b4-a1f3-4553-a5f2-288c24c90e47","Fees":15.4,"ID":2033,"CategoryID":"5","CountryID":"0","CountryCode":"0","CountryName":"","CourseType":"Online ","SubCategory":"Data Science","SubCategoryID":36,"CourseTypeID":"2","LanguageID":"2","CourseImageURL":"5a9ad882-1fe2-4dd4-bd28-b14dfe72fef1.jpeg","PeriodTypeID":"2","PeriodType":"On Demand","StartDate":"","EndDate":"","FeesTypeID":"1","FeesType":"Paid","FeesTypeName":"USD","CreatedDate":"2021-01-18T16:19:58.217","FeesValue":15.4,"FeesUSD":15.0,"FeesUSDDiscounted":15.0,"FeesDiscounted":12.0,"FeesDiscountedPercentage":0.0,"SDate":"2023-02-06T09:06:03.9037678-07:00","EDate":"2023-02-06T09:06:03.9037678-07:00"}

{"CourseNameAr":"دليل المبتدئين لعلوم البيانات","CourseNameEn":"The Absolute Beginners Guide To Data Science","CategoryNameAr":"نظم معلومات و تكنولوجيا","CategoryNameEn":"IT, Technology and Software","SubCategoryNameAr":"علوم البيانات","SubCategoryNameEn":"Data Science","Skills":"Descriptive & Inferential Statistics~Data Visualization~R Programming~Data Distributions - Discrete/Continuous~Matrix Algebra, Coordinate geometry & Calculus~CRISP-DM Framework","TagNameEn":[],"TagNameAr":[],"guid":"d3ac9f29-d7bc-48f3-980b-c961d8522296","Fees":803.35,"ID":2034,"CategoryID":"5","CountryID":"0","CountryCode":"0","CountryName":"","CourseType":"Online ","SubCategory":"Data Science","SubCategoryID":36,"CourseTypeID":"2","LanguageID":"2","CourseImageURL":"89cc27cf-c96c-4502-8079-64459c70980e.jpeg","PeriodTypeID":"2","PeriodType":"On Demand","StartDate":"","EndDate":"","FeesTypeID":"1","FeesType":"Paid","FeesTypeName":"USD","CreatedDate":"2021-01-18T16:27:41.823","FeesValue":803.35,"FeesUSD":803.0,"FeesUSDDiscounted":803.0,"FeesDiscounted":626.0,"FeesDiscountedPercentage":0.0,"SDate":"2023-02-06T09:06:03.9037678-07:00","EDate":"2023-02-06T09:06:03.9037678-07:00"}

{"CourseNameAr":"أساسيات علوم البيانات","CourseNameEn":"Data Science Fundamentals","CategoryNameAr":"نظم معلومات و تكنولوجيا","CategoryNameEn":"IT, Technology and Software","SubCategoryNameAr":"علوم البيانات","SubCategoryNameEn":"Data Science","Skills":"The difference between data scientists, data engineers, statisticians and business analysts~About the impact of data science on business and industry~The workings of each stage of the data science life cycle including formulating a question, acquiring and cleaning data, conducting exploratory analyses and drawing conclusions~About two of the most popular computing languages for data science - Python and R","TagNameEn":[],"TagNameAr":[],"guid":"d72733b2-7302-47ec-af3b-c1c0e58f3e92","Fees":26.0,"ID":3175,"CategoryID":"5","CountryID":"0","CountryCode":"0","CountryName":"","CourseType":"Online ","SubCategory":"Data Science","SubCategoryID":36,"CourseTypeID":"2","LanguageID":"2","CourseImageURL":"b855bd0a-543e-46a3-bd45-addd7ddf17fd.jpeg","PeriodTypeID":"2","PeriodType":"On Demand","StartDate":"","EndDate":"","FeesTypeID":"1","FeesType":"Paid","FeesTypeName":"USD","CreatedDate":"2021-06-02T13:41:27.08","FeesValue":26.0,"FeesUSD":26.0,"FeesUSDDiscounted":26.0,"FeesDiscounted":26.0,"FeesDiscountedPercentage":0.0,"SDate":"2023-02-06T09:06:03.9818507-07:00","EDate":"2023-02-06T09:06:03.9818507-07:00"}