دوراتنا

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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• Self Paced
• 25 ساعات
• الإنجليزية

Introduction to Systems and Network Mapping with Kumu

In this 1-hour long project-based course, you will create an interactive multi-elements relationship map, as well as design visualizations for a real-world social network, based on metrics analyses.
Besides helping you to make sense of complex data, relationship maps like the ones we will build here are a great medium to visually present Causal Loop and Stock and Flow diagrams, as well as non-linear dynamics within an ecosystem.

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• Self Paced
• 3 ساعات
• الإنجليزية

Advanced Data Science Capstone

This project completer has proven a deep understanding on massive parallel data processing, data exploration and visualization, advanced machine learning and deep learning and how to apply his knowledge in a real-world practical use case where he justifies architectural decisions, proves understanding the characteristics of different algorithms, frameworks and technologies and how they impact model performance and scalability. 

• Course by
• 9 ساعات
• الإنجليزية

Power BI وتقارير باستخدام Visualizations إنشاء

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• Self Paced
• 2 ساعات
• عربي

تمثيل البيانات رسومياً باستخدام بايثون - Data Visualization

Data Visualization with Python تمثيل البيانات باستخدام بايثون

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• Self Paced
• 3 ساعات
• عربي

Introduzione alla Data Visualization con Tableau

L’obiettivo del corso è formare professionisti della Business Intelligence attraverso l’apprendimento della piattaforma Tableau, strumento leader di questo settore.

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• Self Paced
• 18 ساعات
• الإيطالية

Data Visualization e manipolazione dei dati con Tableau

I contenuti di questo corso sono pensati per permettere agli utilizzatori di Tableau di migliorare le proprie capacità sull’uso del tool, a un livello intermedio. Spesso i dati provengono da fonti diverse; dobbiamo quindi essere in grado di stabilire tra questi delle relazioni che ci permettano di includere in un’analisi tutte le informazioni di cui abbiamo bisogno. Vedremo quindi come costruire queste relazioni su Tableau, ricorrendo a Join, Union e Data Blending. Lavoreremo con i campi calcolati e i parametri.

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• Self Paced
• 19 ساعات
• الإيطالية

Data Science con Python e R

Questa Specialization è rivolta a quanti vogliano acquisire competenze di base nell’ambito della programmazione in Python e imparare ad utilizzare R e Python per risolvere problemi nell’ambito della Data Science. Attraverso i tre corsi, apprenderai come sono organizzate le strutture dei dati in R, come operare con il data wrangling e quali sono le principali tecniche di data visualization più utilizzate in ambito aziendale.

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• Self Paced
• الإيطالية

Data Visualization: Analisi dei dati con Tableau

Questa Specialization si rivolge a chiunque sia interessato ad acquisire le competenze necessarie per l’utilizzo del software Tableau e dei suoi tool più avanzati. Grazie ai tre corsi potrai realizzare layout grafici personalizzati per comunicare in maniera efficace e diretta i risultati dei dati raccolti.

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• Self Paced
• الإيطالية

Business Intelligence con la Product Suite di Tableau

Questo corso è rivolto a tutti coloro che hanno maturato una conoscenza solida di Tableau. Dopo aver imparato a analizzare dati e costruire visualizzazioni è arrivato il momento di approfondire la conoscenza della Business Intelligence (BI) e andare oltre Tableau. La week 1 è dedicata alle Dashboard e alle Story.

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• Self Paced
• 25 ساعات
• الإيطالية

Assess for Success: Marketing Analytics and Measurement

Assess for Success: Marketing Analytics and Measurement is the fifth of seven courses in the Google Digital Marketing & E-commerce Certificate. This course explores marketing analytics practices and tools. Digital marketing and e-commerce professionals are expected to analyze data from various sources (such as web pages, digital marketing channels, and e-commerce sites) and use them to gain customer insights. You’ll create media plans and set performance goals.

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• Self Paced
• 26 ساعات
• الإنجليزية

Design and Make Infographics (Project-Centered Course)

In this project-centered course*, you will create a content-rich infographic on a topic of your choice using Adobe Illustrator (which you can download for a free, 30-day trial). You might choose to create a visual representation of data from the world of sports, entertainment, politics, or science, to explain a business trend or environmental issue, or even to present a theme or development from your personal life.

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• Self Paced
• 9 ساعات
• الإنجليزية

Share Data Through the Art of Visualization

This is the sixth course in the Google Data Analytics Certificate. You’ll learn how to visualize and present your data findings as you complete the data analysis process. This course will show you how data visualizations, such as visual dashboards, can help bring your data to life. You’ll also explore Tableau, a data visualization platform that will help you create effective visualizations for your presentations.

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• Self Paced
• 24 ساعات
• الإنجليزية

Introduction to Social Determinants of Health

This first of five courses introduces students to the social determinants of health, and provides an overview of the definitions and theoretical perspectives that will form the foundation of this specialization. The topics of this course include: 1. Introduction to the Social Determinants of Health 2. Theoretical Perspectives and Knowledge Complexity 3. Data Driven Collective Impact 4. Minority Stress Theory 5. Data Applications: Frequency Analysis and Bar Chart Visualization

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• Self Paced
• 19 ساعات
• الإنجليزية

Excel Power Tools for Data Analysis

Welcome to Excel Power Tools for Data Analysis. In this four-week course, we introduce Power Query, Power Pivot and Power BI, three power tools for transforming, analysing and presenting data. Excel's ease and flexibility have long made it a tool of choice for doing data analysis, but it does have some inherent limitations: for one, truly "big" data simply does not fit in a spreadsheet and for another, the process of importing and cleaning data can be a repetitive, time-consuming and error-prone.

• Course by
• 15 ساعات
• الإنجليزية

Data Visualization and Dashboards with Excel and Cognos

Learn how to create data visualizations and dashboards using spreadsheets and analytics tools. This course covers some of the first steps for telling a compelling story with your data using various types of charts and graphs. You'll learn the basics of visualizing data with Excel and IBM Cognos Analytics without having to write any code. You'll start by creating simple charts in Excel such as line, pie and bar charts. You will then create more advanced visualizations with Treemaps, Scatter Charts, Histograms, Filled Map Charts, and Sparklines.

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• Self Paced
• 24 ساعات
• الإنجليزية

Social Determinants of Health: Vulnerable Populations

This second of five courses focuses on how social determinants of health affects vulnerable populations. Focusing on four groups of vulnerable populations, students will examine how social determinants of health contribute to the poor health outcomes experienced by these populations. The topics of this course include: 1. Poverty 2. Women’s Health 3. Gender and LGBTQI+ Health 4. Family Health 5. Data Applications: t-test Analysis and Box Plot Visualization

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• Self Paced
• 20 ساعات
• الإنجليزية

Foundations: Data, Data, Everywhere

This is the first course in the Google Data Analytics Certificate. Organizations of all kinds need data analysts to help them improve their processes, identify opportunities and trends, launch new products, and make thoughtful decisions. In this course, you’ll be introduced to the world of data analytics through hands-on curriculum developed by Google. The material shared covers plenty of key data analytics topics, and it’s designed to give you an overview of what’s to come in the Google Data Analytics Certificate.

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• Self Paced
• 22 ساعات
• الإنجليزية

Understanding and Visualizing Data with Python

In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. Learners will identify different types of data, and learn how to visualize, analyze, and interpret summaries for both univariate and multivariate data.

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• Self Paced
• 21 ساعات
• الإنجليزية

Data Visualization in Excel

In an age now driven by "big data", we need to cut through the noise and present key information in a way that can be quickly consumed and acted upon making data visualization an increasingly important skill. Visualizations need to not only present data in an easy to understand and attractive way, but they must also provide context for the data, tell a story, achieving that fine balance between form and function. Excel has many rivals in this space, but it is still an excellent choice, particularly if it's where your data resides.

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• Self Paced
• 18 ساعات
• الإنجليزية

Data Analysis with R Programming

This course is the seventh course in the Google Data Analytics Certificate. In this course, you’ll learn about the programming language known as R. You’ll find out how to use RStudio, the environment that allows you to work with R, and the software applications and tools that are unique to R, such as R packages. You’ll discover how R lets you clean, organize, analyze, visualize, and report data in new and more powerful ways.

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• Self Paced
• 37 ساعات
• الإنجليزية

Basic Data Processing and Visualization

This is the first course in the four-course specialization Python Data Products for Predictive Analytics, introducing the basics of reading and manipulating datasets in Python. In this course, you will learn what a data product is and go through several Python libraries to perform data retrieval, processing, and visualization. This course will introduce you to the field of data science and prepare you for the next three courses in the Specialization: Design Thinking and Predictive Analytics for Data Products, Meaningful Predictive Modeling, and Deploying Machine Learning Models.

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• Self Paced
• 11 ساعات
• الإنجليزية

Business Intelligence Concepts, Tools, and Applications

This is the fourth course in the Data Warehouse for Business Intelligence specialization. Ideally, the courses should be taken in sequence. Effectively and efficiently mining data is the very center of any modern business’s competitive strategy, and a data warehouse is a core component of this data mining. The ability to quickly look back at early trends and have the accurate data – properly formatted – is essential to good decision making. By enabling this historical overview, a data warehouse allows decision makers to learn from past trends and challenges.

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• Self Paced
• 22 ساعات
• الإنجليزية

Excel Skills for Business: Essentials

In this first course of the specialization Excel Skills for Business, you will learn the essentials of Microsoft Excel.

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• Self Paced
• 26 ساعات
• الإنجليزية

Excel Fundamentals for Data Analysis

As data becomes the modern currency, so the ability to analyse the data quickly and accurately has become of paramount importance. Excel with its extraordinarily broad range of features and capabilities is one of the most widely used programs for doing this. In the first course of our Excel Skills for Data Analysis and Visualization Specialization, you will learn the fundamentals of Excel for data analysis.

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• Self Paced
• 15 ساعات
• الإنجليزية