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E.g., 2017-08-22
E.g., 2017-08-22
E.g., 2017-08-22
Sep 4th 2017

Le MOOC « Fondamentaux pour le big data » permet d'acquérir efficacement le niveau prérequis en informatique et en statistiques pour suivre des formations dans le domaine du big data. Le big data offre de nouvelles opportunités d’emplois au sein des entreprises et des administrations. De nombreuses formations préparant à ces opportunités de métiers existent. Le suivi de ces formations nécessite des connaissances de base en statistiques et en informatique que ce MOOC vous propose d’acquérir dans les domaines de l’analyse, algèbre, probabilités, statistiques, programmation Python et bases de données.

Average: 6.3 (9 votes)
Aug 28th 2017

Relational Database Support for Data Warehouses is the third course in the Data Warehousing for Business Intelligence specialization. In this course, you'll use analytical elements of SQL for answering business intelligence questions. You'll learn features of relational database management systems for managing summary data commonly used in business intelligence reporting.

Average: 4 (1 vote)
Aug 28th 2017

In this course, we will explore MongoDB, a very popular NoSQL database and Web Services concepts and integrate them both with Ruby on Rails. MongoDB is a used to handle documents with a pre-defined schema which will give the developers an ability to store, process and use data using it’s rich API. The modules will go in-depth from installation to CRUD operations, aggregation, indexing, GridFS and various other topics where we continuously integrate MongoDB with RailsRuby.

Average: 8.5 (4 votes)

Aug 28th 2017

Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it. Extracting knowledge from large, heterogeneous, and noisy datasets requires not only powerful computing resources, but the programming abstractions to use them effectively. The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form the foundation for data science at realistic scales.

Average: 6.4 (7 votes)
Aug 28th 2017

This course is an introduction to how to use relational databases in business analysis. You will learn how relational databases work, and how to use entity-relationship diagrams to display the structure of the data held within them. This knowledge will help you understand how data needs to be collected in business contexts, and help you identify features you want to consider if you are involved in implementing new data collection efforts.

Average: 5.6 (20 votes)
Aug 28th 2017

Este es el primer curso en una línea de especialización de Coursera que trata el desarrollo de aplicaciones Web. Este curso le dará los conocimienots básicos, la terminología y los conceptos fundamentales que son necesarios para construir aplicaciones web integradas modernas.

Average: 1 (1 vote)

Aug 28th 2017

You'll begin this course by looking at some advanced Excel skills - including index formulas, logical text and nested functions. You'll also look at data connections to external databases, and Visual Basic for Applications (the programming language behind Excel). Once you're comfortable with that, you'll move on to preparing a spreadsheet for a client - giving it a clean design and making it easy to use and reproduce.

Average: 9.6 (5 votes)
Aug 28th 2017

This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. The course will use SQLite3 as its database. We will also build web crawlers and multi-step data gathering and visualization processes. We will use the D3.js library to do basic data visualization.

Average: 5.6 (28 votes)
Aug 28th 2017

Science is undergoing a data explosion, and astronomy is leading the way. Modern telescopes produce terabytes of data per observation, and the simulations required to model our observable Universe push supercomputers to their limits. To analyse this data scientists need to be able to think computationally to solve problems.

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Aug 21st 2017

You will find this course exciting and rewarding if you already have a background in statistics, can use R or another programming language and are familiar with databases and data analysis techniques such as regression, classification, and clustering. However, it contains a number of recitals and R Studio tutorials which will consolidate your competences, enable you to play more freely with data and explore new features and statistical functions in R.

Average: 5 (2 votes)
Aug 14th 2017

Ce cours vise principalement à permettre aux étudiants d’identifier les sources pertinentes dans un domaine donné, leur apprendre à construire un état de l’art et à évaluer les sources, en particulier celles en accès libre sur Internet. Il cherche également à optimiser la recherche documentaire en incitant les étudiants à tirer le meilleur parti des outils et requêtes d’interrogation des bases de données. A l'issue de ce cours, ils devront être capables de construire et alimenter une bibliographie ordonnée, ainsi que de citer convenablement leurs sources pour éviter le plagiat.

Average: 5.3 (4 votes)

Aug 8th 2017

Learn everything you need to know to get started building a MongoDB-based app. This course will go over basic installation, JSON, schema design, querying, insertion of data, indexing and working with the Node.js driver. In the course, you will build a blogging platform, backed by MongoDB.

Average: 4.2 (14 votes)