In this course you will learn a variety of matrix factorization and hybrid machine learning techniques for recommender systems. Starting with basic matrix factorization, you will understand both the intuition and the practical details of building recommender systems based on reducing the dimensionality of the user-product preference space. Then you will learn about techniques that combine the strengths of different algorithms into powerful hybrid recommenders.

This course teaches you how to calculate the return of a portfolio of securities as well as quantify the market risk of that portfolio, an important skill for financial market analysts in banks, hedge funds, insurance companies, and other financial services and investment firms. Using the R programming language with Microsoft Open R and RStudio, you will use the two main tools for calculating the market risk of stock portfolios: Value-at-Risk (VaR) and Expected Shortfall (ES). You will need a beginner-level understanding of R programming to complete the assignments of this course.

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you use BigQuery to troubleshoot common SQL errors, query the data-to-insights public dataset, use the Query Validator, and troubleshoot syntax and logical SQL errors.

هذه هي الدورة التدريبية السابعة في شهادة تحليلات البيانات من Google. ستزودك هذه الدورات بالمهارات اللازمة للتقدم لوظائف محلل البيانات على المستوى التمهيدي. في هذه الدورة، ستتعرف على لغة البرمجة المعروفة باسم R. حيث ستتعرف على كيفية استخدام RStudio، وهي البيئة التي تتيح لك استخدام R. كما ستتناول هذه الدورة أيضًا تطبيقات البرامج والأدوات التي تنفرد بها R، مثل حزم R. ستكتشف كيف تتيح لك لغة R تنظيف البيانات وتنظيمها وتحليلها وتصورها والإبلاغ عنها بطرق جديدة وأكثر فاعلية. سيستمر محللو بيانات Google الحاليون بإرشادك وتزويدك بالطرق العملية لإنجاز مهام محلل البيانات الشائعة باستخدام أفضل الأدوات والموارد. سيتم تجهيز المتعلمين الذين يكملون برنامج الشهادة هذا للتقدم لوظائف المستوى التمهيدي كمحللين بيانات. لا تلزم خبرة سابقة. بنهاية هذه الدورة، ستكون قادرًا على: - فحص فوائد استخدام لغة البرمجة R. - اكتشاف كيفية استخدام RStudio لتطبيق R على تحليلك. - استكشاف المفاهيم الأساسية المرتبطة بالبرمجة في R. - استكشاف محتويات ومكونات حزم R بما في ذلك حزمة Tidyverse. - اكتساب فهم لأطر البيانات واستخدامها في R. - اكتشاف خيارات إنشاء التصورات في R. - التعرف على R Markdown لتوثيق برمجة R.

By the end of this project, you will learn how to create a budget template in an Excel Spreadsheet by using a free version of Microsoft Office Excel. Excel is a spreadsheet that is similar in layout as accounting spreadsheets. It consists of individual cells that can be used to build functions, formulas, tables, and graphs that easily organize and analyze large amounts of information and data. While a budget helps you stay within estimated costs and expenses for either a business or a family. We will learn to create a budget both automatically and manually, step by step. By utilizing Microsoft Excel you will reduce the burden of budgeting and see increase in accuracy. It will allow you to scale budgeting and to make record keeping and tracking of expenditures easier. We will also use basic graphing for presenting budget tracking. You do not need to be an advance user of Microsoft Excel as we will show you how to use templates that are provided in the program and simple formulas to create a budget for any reason.

Tableau is widely recognized as one of the premier data visualization software programs. For many years access to the program was limited to those who purchased licenses. Recently, Tableau launched a public version that grants the ability to create amazing data visualizations for free. Account members can also share and join projects to collaborate on projects that can change the world. By the end of this project, we will learn how to create an account, create visualizations, and how to share visualizations with others. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

In this project, you will learn about Tidyverse, a system of packages for data manipulation, exploration and visualization in the R programming language. R is a computer programming language, and it is also an open-source software often used among data scientists, statisticians, and data miners in their everyday work with data sets.

In this project, we will use Azure Machine Learning Studio to build a predictive model without writing a single line of code! Specifically, we will predict flight delays using weather data provided by the US Bureau of Transportation Statistics and the National Oceanic and Atmospheric Association (NOAA). You will be provided with instructions on how to set up your Azure Machine Learning account with $200 worth of free credit to get started with running your experiments! This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and scikit-learn pre-installed. Notes: - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

This is the fourth course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. In this course, you’ll continue to build your understanding of data analytics and the concepts and tools that data analysts use in their work. You’ll learn how to check and clean your data using spreadsheets and SQL as well as how to verify and report your data cleaning results. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, you will be able to do the following: - Learn how to check for data integrity. - Discover data cleaning techniques using spreadsheets. - Develop basic SQL queries for use on databases. - Apply basic SQL functions for cleaning and transforming data. - Gain an understanding of how to verify the results of cleaning data. - Explore the elements and importance of data cleaning reports.

Este curso intensivo de uma semana baseia-se nos cursos anteriores da especialização Data Engineering on Google Cloud Platform. Por meio de videoaulas, demonstrações e laboratórios práticos, você aprenderá a criar e gerenciar clusters de computação para executar jobs do Hadoop, Spark, Pig e/ou Hive no Google Cloud Platform.Você também aprenderá a acessar várias opções de armazenamento em nuvem dos clusters de computação e integrar os recursos de machine learning do Google aos respectivos programas de análise. Nos laboratórios práticos, você criará e gerenciará os clusters do Dataproc usando o console da Web e a CLI e usará o cluster para executar jobs do Spark e Pig. Depois você criará notebooks iPython que são integrados ao BigQuery e ao armazenamento e utilizará o Spark. Por fim, você integrará as APIs de machine learning à análise de dados. Pré-requisitos • Noções básicas de Big Data e Machine Learning do Google Cloud Platform (ou experiência equivalente) • Algum conhecimento de Python