Working with Data (Coursera)

Offered by Meta,
Working with Data (Coursera)

This course expands upon the knowledge you gained from the React Native course, and will prepare you to make more informed decisions about how you access, store, retrieve and present data within your React Native applications.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

The course is designed to be completed over five weeks. You will learn about data and databases in a more general sense, and then proceed to become familiar with tools and practices for working with data specifically in React Native.
By the end of this course you will be able to:
• Explain what REST APIs are and identify best practices for working with them
• Make network calls to retrieve online content and handle responses from the server
• Create databases and tables and use SQL to store data in them in a structured, relational way
• Read and write data for a mobile application using AsyncStorage
• Read and write data for a mobile application using SQLite
To complete this course, you will need React Native experience. Additionally, it always helps to have a can-do attitude!

Syllabus

WEEK 1
Introduction to REST APIs
In this module, you'll get to know about RESTful API development.

WEEK 2
Interacting with REST APIs in React Native
In this module, you'll practice applying asynchronous programming techniques to query REST APIs and handle their responses using React Native.

WEEK 3
Introduction to Databases & SQL
In this module, you'll become familiar with what databases are and how they hold and structure data, as well as how to use SQL to retrieve and present data from databases in a meaningful way.

WEEK 4
Data in React Native
In this module, you'll learn how to work with AsyncStorage and SQLite in React Native.

WEEK 5
Graded Assessment
In this module, you will be assessed on the key skills covered in the Course.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Learn SQL with Databricks (Coursera) Coursera
Edureka

Learn SQL with Databricks (Coursera)

Welcome to the Learn SQL with Databricks course, where you'll embark on a journey to acquire essential skills in database management, data analysis, and advanced data manipulation techniques. This course is meticulously designed to guide you through the intricacies of SQL, leveraging the powerful and versatile Databricks platform.

Nov 23rd 2026
5-12 Weeks
Big Data Analytical Platform on Alibaba Cloud (Coursera) Coursera
Alibaba Cloud Academy

Big Data Analytical Platform on Alibaba Cloud (Coursera)

Building an Analytical Platform on Alibaba Cloud can empower how you take in, analyze, and demonstrate clear metrics from a set of Big Data. This course is designed to teach engineers how to use Alibaba Cloud Big Data products. It covers basic distributed system theory and Alibaba Cloud's core products like MaxCompute, DataWorks, E-MapReduce as well as a bundle of ecosystem tools.

Nov 9th 2026
5-12 Weeks
La recherche documentaire (Coursera) Coursera
École Polytechnique

La recherche documentaire (Coursera)

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.

Nov 23rd 2026
3 Weeks
AWS Database Specialty Certification (Coursera) Coursera
EDUCBA

AWS Database Specialty Certification (Coursera)

This course offers a comprehensive journey through the world of databases and their management on the AWS cloud platform. From understanding the core concepts of databases to mastering advanced topics like migration, automation, and security, participants will gain a solid foundation in database design, deployment, and management using AWS services.

Nov 23rd 2026
5-12 Weeks
Accounting Data Analytics with Python (Coursera) Coursera
University of Illinois at Urbana-Champaign

Accounting Data Analytics with Python (Coursera)

This course focuses on developing Python skills for assembling business data. It will cover some of the same material from Introduction to Accounting Data Analytics and Visualization, but in a more general purpose programming environment (Jupyter Notebook for Python), rather than in Excel and the Visual Basic Editor. These concepts are taught within the context of one or more accounting data domains (e.g., financial statement data from EDGAR, stock data, loan data, point-of-sale data).

Nov 9th 2026
5-12 Weeks
Web Application Development: Basic Concepts (Coursera) Coursera
University of New Mexico

Web Application Development: Basic Concepts (Coursera)

This is the first course in a Coursera Specialization track involving Web Application Architectures. This course will give you the basic background, terminology and fundamental concepts that you need to understand in order to build modern full stack web applications. A full stack web developer is familiar with each "layer" of the software technologies involved in a web application, including data modeling and database technologies, the web server environment and middleware components, network protocols, the user interface and basic visual design and user interaction concepts.

Nov 9th 2026
5-12 Weeks
Data Management for Clinical Research (Coursera) Coursera
Vanderbilt University

Data Management for Clinical Research (Coursera)

This course presents critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research. Understanding and implementing solid data management principles is critical for any scientific domain. Regardless of your current (or anticipated) role in the research enterprise, a strong working knowledge and skill set in data management principles and practice will increase your productivity and improve your science. Our goal is to use these modules to help you learn and practice this skill set.

Nov 9th 2026
5-12 Weeks
Big Data Analysis Deep Dive (Coursera) Coursera
Alibaba Cloud Academy

Big Data Analysis Deep Dive (Coursera)

The job market for architects, engineers, and analytics professionals with Big Data expertise continues to increase. The Academy’s Big Data Career path focuses on the fundamental tools and techniques needed to pursue a career in Big Data. This course includes: data processing with python, writing and reading SQL queries, transmitting data with MaxCompute, analyzing data with Quick BI, using Hive, Hadoop, and spark on E-MapReduce, and how to visualize data with data dashboards. Work through our course material, learn different aspects of the Big Data field, and get certified as a Big Data Professional!

Nov 23rd 2026
5-12 Weeks
Serverless Data Processing with Dataflow: Develop Pipelines (Coursera) Coursera
Google Cloud

Serverless Data Processing with Dataflow: Develop Pipelines (Coursera)

In this second installment of the Dataflow course series, we are going to be diving deeper on developing pipelines using the Beam SDK. We start with a review of Apache Beam concepts. Next, we discuss processing streaming data using windows, watermarks and triggers. We then cover options for sources and sinks in your pipelines, schemas to express your structured data, and how to do stateful transformations using State and Timer APIs.

Nov 16th 2026
3 Weeks
Customer Analytics (Coursera) Coursera
University of Pennsylvania

Customer Analytics (Coursera)

Data about our browsing and buying patterns are everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to describe our past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions. In this brand new course, four of Wharton’s top marketing professors will dive deeper into the key areas of customer analytics: descriptive analytics, predictive analytics, prescriptive analytics, and their application to real-world business practices including Amazon, Google, and Starbucks to name a few.

Nov 9th 2026
5-12 Weeks