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{"CourseNameAr":" علم البيانات والتعلّم الآلي","CourseNameEn":"Data Science & Machine Learning","CategoryNameAr":"نظم معلومات و تكنولوجيا","CategoryNameEn":"IT, Technology and Software","SubCategoryNameAr":"علوم البيانات","SubCategoryNameEn":"Data Science","Skills":"Understand the evolution of data analytics,Understand the impact of data science in fields such as finance,Understand the data science pipeline including data collection","TagNameEn":[],"TagNameAr":[],"guid":"78091e1e-77c4-4f34-8329-19e12a3826c3","Fees":0.0,"ID":372,"CategoryID":"5","CountryID":"0","CountryCode":"0","CountryName":"","CourseType":"Online ","SubCategory":"Data Science","SubCategoryID":36,"CourseTypeID":"2","LanguageID":"1","CourseImageURL":"df674433-ca12-4335-90db-2447958206ed.png","PeriodTypeID":"2","PeriodType":"On Demand","StartDate":"","EndDate":"","FeesTypeID":"2","FeesType":"Free ","FeesTypeName":"USD","CreatedDate":"2020-01-29T21:56:24.657","FeesValue":0.0,"FeesUSD":0.0,"FeesUSDDiscounted":0.0,"FeesDiscounted":0.0,"FeesDiscountedPercentage":0.0,"SDate":"2026-04-29T03:47:09.7809605-06:00","EDate":"2026-04-29T03:47:09.7809605-06:00"}

{"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":31.89,"ID":769,"CategoryID":"5","CountryID":"0","CountryCode":"0","CountryName":"","CourseType":"Online ","SubCategory":"Data Science","SubCategoryID":36,"CourseTypeID":"2","LanguageID":"2","CourseImageURL":"5020bf2c-2990-441e-973f-128d1e03e2c2.jfif","PeriodTypeID":"2","PeriodType":"On Demand","StartDate":"","EndDate":"","FeesTypeID":"1","FeesType":"Paid","FeesTypeName":"USD","CreatedDate":"2020-04-15T12:01:31.667","FeesValue":31.89,"FeesUSD":32.0,"FeesUSDDiscounted":16.0,"FeesDiscounted":285.0,"FeesDiscountedPercentage":50.0,"SDate":"2026-04-29T03:47:09.921566-06:00","EDate":"2026-04-29T03:47:09.921566-06:00"}

{"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":31.89,"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":31.89,"FeesUSD":32.0,"FeesUSDDiscounted":16.0,"FeesDiscounted":285.0,"FeesDiscountedPercentage":50.0,"SDate":"2026-04-29T03:47:10.0622007-06:00","EDate":"2026-04-29T03:47:10.0622007-06:00"}

{"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":31.89,"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":31.89,"FeesUSD":32.0,"FeesUSDDiscounted":16.0,"FeesDiscounted":285.0,"FeesDiscountedPercentage":50.0,"SDate":"2026-04-29T03:47:10.0622007-06:00","EDate":"2026-04-29T03:47:10.0622007-06:00"}

{"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":"2026-04-29T03:47:10.1090701-06:00","EDate":"2026-04-29T03:47:10.1090701-06:00"}

{"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":31.89,"ID":1473,"CategoryID":"5","CountryID":"0","CountryCode":"0","CountryName":"","CourseType":"Online ","SubCategory":"Data Science","SubCategoryID":36,"CourseTypeID":"2","LanguageID":"2","CourseImageURL":"a23a27e9-879f-41c2-ad42-b6d81ea2c6e8.jfif","PeriodTypeID":"2","PeriodType":"On Demand","StartDate":"","EndDate":"","FeesTypeID":"1","FeesType":"Paid","FeesTypeName":"USD","CreatedDate":"2020-07-12T17:11:55.923","FeesValue":31.89,"FeesUSD":32.0,"FeesUSDDiscounted":16.0,"FeesDiscounted":285.0,"FeesDiscountedPercentage":50.0,"SDate":"2026-04-29T03:47:10.1090701-06:00","EDate":"2026-04-29T03:47:10.1090701-06:00"}

{"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":"2","PeriodType":"On Demand","StartDate":"","EndDate":"","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":"2026-04-29T03:47:10.1403281-06:00","EDate":"2026-04-29T03:47:10.1403281-06:00"}