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Modern Data Warehouse Analytics in Microsoft Azure

Modern Data Warehouse Analytics in Microsoft Azure

In this course, you will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build your foundational knowledge of cloud data services within Microsoft Azure. You will explore the processing options available for building data analytics solutions in Azure. You will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. This is the fourth course in a program of five courses to help prepare you to take the Exam DP-900: Microsoft Azure Data Fundamentals.

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  • 4 ساعات
  • الإنجليزية
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Code Free Data Science

Code Free Data Science

The Code Free Data Science class is designed for learners seeking to gain or expand their knowledge in the area of Data Science. Participants will receive the basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requirements. Machine Learning methods will be presented by utilizing the KNIME Analytics Platform to discover patterns and relationships in data. Predicting future trends and behaviors allows for proactive, data-driven decisions.

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  • 14 ساعات
  • الإنجليزية
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Creating Advanced Reports with SAS Visual Analytics

Creating Advanced Reports with SAS Visual Analytics

In this course, you learn how to create advanced data items, filters, and parameters in SAS Visual Analytics.

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  • 9 ساعات
  • الإنجليزية
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Build Image Quality Inspection using AWS Lookout for Vision

Build Image Quality Inspection using AWS Lookout for Vision

In this guided project, you will learn how to build automated image quality inspection using Amazon Lookout for Vision. Amazon Lookout for Vision is a Machine Learning as a Service from Amazon Web services which you could leverage to do Image Analytics and address interesting use cases such as drone detection, defect detection, object detection, smile detection, fall detection without writing a single line of code. Please note: As part of this course, you would need your AWS Account to complete the course. It would be charged as per your usage of AWS Lookout for Vision service.

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  • 3 ساعات
  • الإنجليزية
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Prediction Models with Sports Data

Prediction Models with Sports Data

In this course the learner will be shown how to generate forecasts of game results in professional sports using Python. The main emphasis of the course is on teaching the method of logistic regression as a way of modeling game results, using data on team expenditures. The learner is taken through the process of modeling past results, and then using the model to forecast the outcome games not yet played. The course will show the learner how to evaluate the reliability of a model using data on betting odds. The analysis is applied first to the English Premier League, then the NBA and NHL.

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  • 34 ساعات
  • الإنجليزية
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Operational Analytics with Microsoft Azure Synapse Analytics

Operational Analytics with Microsoft Azure Synapse Analytics

In this course, you will learn how to perform operational analytics against Azure Cosmos DB using the Azure Synapse Link feature within Azure Synapse Analytics. You will learn how hybrid transactional and analytical processing can help you perform operational analytics with Azure Synapse Analytics.

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  • 12 ساعات
  • الإنجليزية
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The Fundamental of Data-Driven Investment

The Fundamental of Data-Driven Investment

In this course, the instructor will discuss the fundamental analysis of investment using R programming. The course will cover investment analysis topics, but at the same time, make you practice it using R programming. This course's focus is to train you to do the elemental analysis for investment management that you might need to do in your job every day. Additionally, the study note to do using Python programming will be provided. The course is designed with the assumption that most students already have a little bit of knowledge in financial economics.

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  • 19 ساعات
  • الإنجليزية
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Mobile Marketing, Optimization Tactics, and Analytics

Mobile Marketing, Optimization Tactics, and Analytics

Welcome to Course 3 of the E-Marketing Specialization: Mobile Marketing Optimization Tactics, and Analytics. Our final course will start with an introduction to mobile marketing. The remaining modules will provide you with the knowledge needed to increase sales, boost engagement, and interpret website analytics. This course will culminate in a peer-reviewed activity, in which you will have the opportunity to apply all the skills you have learned throughout the previous courses in this series.

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  • 12 ساعات
  • الإنجليزية
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Data Analytics in Accounting Capstone

Data Analytics in Accounting Capstone

This capstone is the last course in the Data Analytics in Accountancy Specialization. In this capstone course, you are going to take the knowledge and skills you have acquired from the previous courses and apply them to a real-world problem.

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  • 19 ساعات
  • الإنجليزية
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CASL Programming for Distributed Computing in SAS® Viya®

CASL Programming for Distributed Computing in SAS® Viya®

Welcome to the CASL Programming for Distributed Computing in SAS Viya course. SAS Viya is an AI, analytic and data management platform running on a scalable, distributed, cloud-native architecture. In this course you will learn how how to use the native CAS programming language (CASL) to leverage SAS Cloud Analytics Services (CAS), the high-performance, in-memory analytics and distributed computing engine in SAS Viya .

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  • الإنجليزية
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Data Analytics for Lean Six Sigma

Data Analytics for Lean Six Sigma

Welcome to this course on Data Analytics for Lean Six Sigma. In this course you will learn data analytics techniques that are typically useful within Lean Six Sigma improvement projects. At the end of this course you are able to analyse and interpret data gathered within such a project. You will be able to use Minitab to analyse the data. I will also briefly explain what Lean Six Sigma is. I will emphasize on use of data analytics tools and the interpretation of the outcome. I will use many different examples from actual Lean Six Sigma projects to illustrate all tools.

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  • 11 ساعات
  • الإنجليزية
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Supervised Text Classification for Marketing Analytics

Supervised Text Classification for Marketing Analytics

Marketing data often requires categorization or labeling. In today’s age, marketing data can also be very big, or larger than what humans can reasonably tackle. In this course, students learn how to use supervised deep learning to train algorithms to tackle text classification tasks. Students walk through a conceptual overview of supervised machine learning and dive into real-world datasets through instructor-led tutorials in Python.

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  • 12 ساعات
  • الإنجليزية
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Introduction to Data Analytics for Accounting Professionals

Introduction to Data Analytics for Accounting Professionals

This course covers the foundations of data analytics and how to conduct and apply this to projects in your organization. This includes the following: - What does it mean to have a data-driven mindset? Having the right mindset will allow you to understand the problem that needs to be solved and make or recommend appropriate data-driven decisions in the context of the organization’s strategy and technologies. - What are the key considerations when identifying, establishing, and implementing a data analytics project?

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  • 8 ساعات
  • الإنجليزية
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Foundations of Business Intelligence

Foundations of Business Intelligence

This is the first of three courses in the Google Business Intelligence Certificate, which will help develop the skills needed to apply for entry-level roles as a business intelligence (BI) professional. People who work in BI help organizations access the right data, use data to help businesses grow and improve, and put insights into action. In this course, you’ll discover the role of BI professionals within an organization and explore BI tools you can use on the job.

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  • 25 ساعات
  • الإنجليزية
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SQL Window Functions for Analytics

SQL Window Functions for Analytics

Welcome to this project-based course SQL Window Functions for Analytics. This is a hands-on project that will help SQL users use window functions extensively for database insights. In this project, you will learn how to explore and query the project-db database extensively. We will start this hands-on project by retrieving the data in the table in the database. By the end of this 2-hour-and-a-half-long project, you will be able to use different window functions to retrieve the desired result from a database.

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  • 3 ساعات
  • الإنجليزية
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Log Analytics on Google Cloud

Log Analytics on Google Cloud

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use Cloud Logging to analyze your logs.

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  • 1 ساعات
  • الإنجليزية
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تحليل البيانات ب R: التنبؤ بتحليل الانحدار

تحليل البيانات ب R: التنبؤ بتحليل الانحدار

خلال هل مشروع راح تكون قادر تعمل predictive data analysis with regression يعني إستخدام البيانات للتحليل والتنبؤ من خلال طريقة الانحدار الخطّي ب-R Programming language.

بأستعمال و تعلّم كيف تنفّذ هيك مشروع بR رح تكون عم تستعمل أهم programing language لتحليل البيانات، و عم تبني model تعتبر الحجر الأساس بال machine learning و تستخدم طريقة الـ predictive regression المستعملة بأغلب مجالات الاقتصاد. هيدا المشروع مخصص للprogramers و الdata analysts الي عندها خبرة متواضعة بR و بال Machine Learning و عبالها تتعمّق أكثر و تكتشف كيف بينعمل التحليل التنبؤي بالانحدار.

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  • 2 ساعات
  • عربي
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توقع حضور المواعيد الطبية باستخدام Python

توقع حضور المواعيد الطبية باستخدام Python

في نهاية المشروع ده هتقدر تصمم model ذكاء صناعي عشان يتوقع المريض هيجي المعاد إلي كان محدد ولا لاباستخدام Python و Jupyter Notebook. خلال المشروع هنمشى مع بعض خطوة بخطوة عشان نقدر نحلل البيانات إلي هتكون معنا من website Kaggle.com الdata دي هتكون عن مرضى في البرازيل.و هنقدر نحدد ازاي الmachine learning engineer بيختار الmachine learning model بتاعو. و ازاي إقدر إستعمل ال-machine learning model بتاعي ده عشان اتوقع هل المريض ده هيجي ولا لا. المشروع ده هيفيد الناس المهتمة بمجال الdata science.

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  • 2 ساعات
  • عربي
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Fragen Für Eine Datengesteuerte Entscheidungsfindung Stellen

Fragen Für Eine Datengesteuerte Entscheidungsfindung Stellen

Dies ist der zweite Kurs des Google Data Analytics Certificate. In diesen Kursen lernen Sie alles, was Sie für eine Einstiegsposition in der Datenanalyse benötigen. Wir bauen auf den Themen aus dem ersten Kurs des Google Data Analytics Certificate auf. Sie lernen mithilfe des Materials, wie Sie effektive Fragen stellen, um datengesteuerte Entscheidungen zu treffen, und gleichzeitig die Bedürfnisse der Stakeholder berücksichtigen.

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  • ألماني
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Ajukan Pertanyaan untuk Mengambil Keputusan Berdasarkan Data

Ajukan Pertanyaan untuk Mengambil Keputusan Berdasarkan Data

Ini adalah materi kedua dalam program Sertifikat Analitik Data Google (Google Data Analytics Certificate). Materi ini akan memberi Anda keterampilan yang dibutuhkan untuk melamar pekerjaan analis data tingkat pemula. Anda akan mengembangkan lebih lanjut pemahaman Anda mengenai topik yang diperkenalkan pada materi pertama program Sertifikat Analitik Data Google. Materi ini akan membantu Anda mempelajari cara mengajukan pertanyaan yang efektif untuk membuat keputusan berbasis data, namun tetap sesuai dengan kebutuhan pemangku kepentingan.

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  • 18 ساعات
  • إندونيسي
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Análise de dados com programação em R

Análise de dados com programação em R

Este é o sétimo curso do Certificado de Data Analytics do Google. Estes cursos darão a você as habilidades necessárias para se candidatar a cargos empregos de analista de dados de nível inicial. Neste curso, você aprenderá sobre a linguagem de programação conhecida como R. Você descobrirá como usar o RStudio, o ambiente que permite trabalhar em R. O curso também abarcará os aplicativos e ferramentas de software exclusivos de R, como os pacotes de R. Você descobrirá como é possível limpar, organizar, analisar, visualizar e gerar relatórios de dados usando R de maneiras novas e contundentes.

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  • البرتغالي
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Building Resilient Streaming Analytics Systems on GCP en Español

Building Resilient Streaming Analytics Systems on GCP en Español

El procesamiento de datos de transmisión es cada vez más popular, puesto que permite a las empresas obtener métricas en tiempo real sobre las operaciones comerciales. Este curso aborda cómo crear canalizaciones de datos de transmisión en Google Cloud. Pub/Sub se describe para manejar los datos de transmisión entrantes. El curso también aborda cómo aplicar agregaciones y transformaciones a los datos de transmisión con Dataflow y cómo almacenar los registros procesados en BigQuery o Bigtable para analizarlos.

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  • الإسبانية
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Preparar os Dados para Exploração

Preparar os Dados para Exploração

Este é o primeiro curso do Certificado do Google Data Analytics Estes cursos darão a você as habilidades necessárias para se candidatar a cargos empregos de analista de dados de nível introdutório. Conforme você continua a desenvolver sua compreensão dos tópicos dos dois primeiros cursos, também será apresentado a novos tópicos que o ajudarão a adquirir habilidades práticas de análise de dados. Você aprenderá como usar ferramentas como planilhas e SQL para extrair e fazer uso dos dados certos para seus objetivos e como organizar e proteger seus dados.

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  • البرتغالي
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Projeto final de Data Analytics do Google: conclua um estudo de caso

Projeto final de Data Analytics do Google: conclua um estudo de caso

Este é o oitavo curso do Certificado de Data Analytics do Google. Você terá a oportunidade de completar um estudo de caso opcional, que ajudará você a se preparar para a busca de emprego em Data Analytics. Os estudos de caso normalmente são usados pelos empregadores para avaliar as habilidades analíticas. Para o seu estudo de caso, escolha um cenário baseado em análises. Depois, faça perguntas, prepare, processe, analise, visualize e aja de acordo com os dados desse cenário.

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  • 10 ساعات
  • البرتغالي
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O sucesso por meio das avaliações: análise e medição de marketing

O sucesso por meio das avaliações: análise e medição de marketing

O sucesso por meio das avaliações: análise e medição de marketing é o quinto dos sete cursos do Certificado de Marketing Digital e E-commerce do Google. Este curso explora as práticas e ferramentas de análise de marketing. É esperado que os profissionais de marketing digital e e-commerce analisem dados de várias fontes (como páginas da web, canais de marketing digital e sites de e-commerce) e os usem para obter insights dos clientes. Você criará planos de mídia e definirá metas de desempenho.

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  • البرتغالي
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