Databases (UNINETTUNO)

Coursera

Johns Hopkins University

Importing Data in the Tidyverse (Coursera)

Statistics & Data Analysis Data Science

Getting data into your statistical analysis system can be one of the most challenging parts of any data science project. Data must be imported and harmonized into a coherent format before any insights can be obtained. You will learn how to get data into R from commonly used formats and harmonizing different kinds of datasets from different sources. If you work in an organization where different departments collect data using different systems and different storage formats, then this course will provide essential tools for bringing those datasets together and making sense of the wealth of information in your organization.

Nov 2nd 2026

4 Weeks

Databases XML JSON

Details

Coursera

SAS

Getting Started with SAS Programming (Coursera)

Statistics & Data Analysis Data Science

This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data. It is the entry point to learning SAS programming for data science, machine learning, and artificial intelligence. It is a prerequisite to many other SAS courses.

Nov 2nd 2026

5-12 Weeks

Artificial Intelligence SQL Machine Learning

Details

Coursera

University of Illinois at Urbana-Champaign

Accounting Data Analytics with Python (Coursera)

Statistics & Data Analysis Data Science

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

Python SQL Linear Regression

Details

Coursera

Google Cloud

BigQuery Fundamentals for Teradata Professionals (Coursera)

CS: Information & Technology

This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Teradata and want to begin working in BigQuery. Through interactive lecture content and hands-on labs, you learn how to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery. Drawing upon your knowledge of Teradata, you also learn about similarities and differences between Teradata and BigQuery to help you get started with data warehouses in BigQuery.

Nov 9th 2026

2 Weeks

SQL BigQuery Google Cloud

Details

Coursera

Illinois Tech

Programming and Application Foundations (Coursera)

CS: Software Engineering CS: Programming

This course introduces the students to the creation and deployment of modern, standards-compliant web pages written in HTML, CSS, and JavaScript in the context of the client-server architecture of the web. The course also covers the fundamentals of programming in a modern programming language, basic data modeling, database design, implementation, and administration of single-user and shared multi-user database applications using a contemporary relational database management system.

Nov 9th 2026

5-12 Weeks

Programming HTML Javascript

Details

Coursera

Whizlabs

Getting Started with Apache Cassandra (Coursera)

CS: Software Engineering

The “Getting Started with Cassandra” course is designed to help you gain knowledge of the Cassandra database system. You will learn architecture as well as how to design, build and use Cassandra databases. This training course helps you develop your skills and knowledge in Cassandra. Cassandra is a NoSQL database that has the traits of a distributed, open-source, and decentralized database or storage system. It can support the management of excessively massive amounts of structured data without a single point of failure, thereby resulting in the provision of highly available services.

Nov 9th 2026

3 Weeks

Databases DBMS Apache Cassandra

Details

Coursera

University of New Mexico

Web Application Development: Basic Concepts (Coursera)

CS: Software Engineering CS: Information & Technology

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

Web Databases Data Modeling

Details

Coursera

University of California, Davis

SQL for Data Science Capstone Project (Coursera)

Statistics & Data Analysis Data Science

Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems. Whether you have successfully completed the other courses in the Learn SQL Basics for Data Science Specialization or are taking just this course, this project is your chance to apply the knowledge and skills you have acquired to practice important SQL querying and solve problems with data. You will participate in your own personal or professional journey to create a portfolio-worthy piece from start to finish.

Nov 2nd 2026

4 Weeks

SQL Data Analysis Data Science

Details

Coursera

SAS

Advanced SAS Programming Techniques (Coursera)

Statistics & Data Analysis Data Science

In this course, you learn advanced techniques within the DATA step and procedures to manipulate data.

Nov 2nd 2026

5-12 Weeks

SQL Data Analysis SAS

Details

Coursera

INSEAD

Introduction to Blockchain for Financial Services (Coursera)

Security & Networking

In this first course of the specialization, we will discuss the limitations of the Internet for business and economic activity, and explain how blockchain technology represents the way forward. After completing this course, you will be able to explain what blockchain is, how it works, and why it is revolutionary. You will learn key concepts such as mining, hashing, proof-of-work, public key cryptography, and the double-spend problem.

Nov 2nd 2026

5-12 Weeks

Cryptography Databases Mining

Details

Coursera

University of Michigan

Building Web Applications in Django (Coursera)

Computer Science

In this course, you will learn how Django communicates with a database through model objects. You will explore Object-Relational Mapping (ORM) for database access and how Django models implement this pattern. We will review the Object-Oriented (OO) pattern in Python. You will learn basic Structured Query Language (SQL) and database modeling, including one-to-many and many-to-many relationships and how they work in both the SQL and Django models. You will learn how to use the Django console and scripts to work with your application objects interactively.

Nov 2nd 2026

4 Weeks

HTML SQL HTTP

Details

Coursera

University of Colorado System

Introduction to Clinical Data Science (Coursera)

Statistics & Data Analysis Data Science

This course will prepare you to complete all parts of the Clinical Data Science Specialization. In this course you will learn how clinical data are generated, the format of these data, and the ethical and legal restrictions on these data. You will also learn enough SQL and R programming skills to be able to complete the entire Specialization - even if you are a beginner programmer. While you are taking this course you will have access to an actual clinical data set and a free, online computational environment for data science hosted by our Industry Partner Google Cloud.

Nov 2nd 2026

4 Weeks

SQL Data Analysis Data Science

Details