Coursera

Big Data Analytical Platform on Alibaba Cloud (Coursera)

Offered by Alibaba Cloud Academy,

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.

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

What You Will Learn

Learn the Big Data Theory
Take data in different formats to Put in Alibaba Cloud Big Data Products
Analyze Sets of Data to produce meaningful conclusions
Draw Graphs and Tables to demonstrate the analysis of Big Data Results

Course 2 of 3 in the Alibaba Cloud Computing Specialization

Syllabus

WEEK 1
Intro to Hadoop
Apache Hadoop is a collection of open-source software utilities that facilitate using a network of many computers to solve problems involving massive amounts of data and computation. It provides a software framework for distributed storage and processing of big data using the MapReduce programming model. This module will give you an introduction to Hadoop's features.

WEEK 2
Hadoop on Alibaba Cloud
This module will dive deeper into the functions of Hadoop and particularly their applications through the Alibaba Cloud Platform. Courses will touch upon the uses of E-MapReduce, Hive, and Spark.

WEEK 3
Big Data Product Overview
Get an overview of all of Alibaba Clouds Big Data products, their different architectures, and use scenarios.

WEEK 4
MaxCompute Basic
MaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousing. MaxCompute supports various data importing solutions and distributed computing models, enabling users to effectively query massive datasets, reduce production costs, and ensure data security. Learn the basics of this products use in this module.

WEEK 5
MaxCompute SQL
MaxCompute SQL is used for offline batch computing and computing scenarios that involve gigabytes, terabytes, or exabytes of data. MaxCompute is suitable for batch jobs that process large volumes of data. Learn more about the MaxCompute SQL language and uses in this module.

WEEK 6
MaxCompute UDF
MaxCompute User-Defined Functions help users customize their data engine to produce useful results. Learn how to develop functions and apply them to MaxCompute in this module.

WEEK 7
MaxCompute Security
By using symmetric AccessKey pairs, MaxCompute is designed to handle security issues in multi-tenant scenarios. MaxCompute Security measures help meet the requirements for multi-user collaboration, data sharing, data confidentiality, and data security. Learn more in the module.

WEEK 8
Dataworks Basic
DataWorks is a Big Data platform product launched by Alibaba Cloud. It provides one-stop Big Data development, data permission management, and offline job scheduling. The process of acquisition, processing, and monitoring are all explained in this module.

WEEK 9
Data Visualization
Displaying your data in a clear and concise way is the key final step to making your data work for you. This module explains different types of graphing methods as well as gives a demo to walk users through creating their first graphs.

WEEK 10
PAI Overview
The Platform for Artificial Intelligence helps users design machine learning algorithms to read large sets of data while teaching itself how to be more accurate and useful. This module gives basic architectures of PAI while teaching PAI's best practices.

Go to Class

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

Related Courses

Coursera

University of Colorado Boulder

The Structured Query Language (SQL) (Coursera)

Data Science

In this course you will learn all about the Structured Query Language ("SQL".) We will review the origins of the language and its conceptual foundations. But primarily, we will focus on learning all the standard SQL commands, their syntax, and how to use these commands to conduct analysis of the data within a relational database. Our scope includes not only the SELECT statement for retrieving data and creating analytical reports, but also includes the DDL ("Data Definition Language") and DML ("Data Manipulation Language") commands necessary to create and maintain database objects.

Jun 9th 2026

5-12 Weeks

Databases SQL Data Science

Coursera

University of Colorado System

Introduction to Cybersecurity for Business (Coursera)

Security & Networking

The world runs computers. From small to large businesses, from the CEO down to level 1 support staff, everyone uses computers. This course is designed to give you a practical perspective on computer security. This course approaches computer security in a way that anyone can understand. Ever wonder how your bank website is secure when you connect to it? Wonder how other business owners secure their network? Wonder how large data breaches happen? This is practical computer security. It will help you answer the question – what should I focus on?

Jun 8th 2026

5-12 Weeks

Security Risk Assessment Information Security

Coursera

University of Amsterdam

Data Analytics for Lean Six Sigma (Coursera)

Statistics & Data Analysis Data Science

Welcome to this course on Data Analytics for Lean Six Sigma. In this course you will learn data analytics techniques that are typically useful within Lean Six Sigma improvement projects. At the end of this course you are able to analyse and interpret data gathered within such a project. You will be able to use Minitab to analyse the data. I will also briefly explain what Lean Six Sigma is.

Jun 8th 2026

5-12 Weeks

Testing Lean Six Sigma Data Visualization

Coursera

University of Washington

Data Manipulation at Scale: Systems and Algorithms (Coursera)

Statistics & Data Analysis Data Science

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.

Jun 8th 2026

4 Weeks

Algebra Algorithms Databases

Coursera

University of Colorado System

Basic Cryptography and Programming with Crypto API (Coursera)

Security & Networking

In this MOOC, we will learn the basic concepts and principles of crytography, apply basic cryptoanalysis to decrypt messages encrypted with mono-alphabetic substitution cipher, and discuss the strongest encryption technique of the one-time-pad and related quantum key distribution systems. We will also learn the efficient symmetric key cryptography algorithms for encrypting data, discuss the DES and AES standards, study the criteria for selecting AES standard, present the block cipher operating modes and discuss how they can prevent and detect the block swapping attacks, and examine how to defend against replay attacks.

Jun 8th 2026

4 Weeks

Programming Cryptography Network Security

Coursera

Scrimba

Learn to code with AI (Coursera)

CS: Software Engineering

Imagine waking up tomorrow as a web developer. What would you want to build? With AI tools like ChatGPT, you're already a developer, regardless of your experience, if you know how to work with them. So in this course, you'll build functional, interactive front-end projects while learning how to write effective prompts and debug and refine your code with the help of AI.

Jun 10th 2026

2 Weeks

Programming Artificial Intelligence HTML

Coursera

University of Michigan

Generative AI Essentials: Overview and Impact (Coursera)

Robotics & Computer Vision

With the rise of generative artificial intelligence, there has been a growing demand to explore how to use these powerful tools not only in our work but also in our day-to-day lives. Generative AI Essentials: Overview and Impact introduces learners to large language models and generative AI tools, like ChatGPT. In this course, you’ll explore generative AI essentials, how to ethically use artificial intelligence, its implications for authorship, and what regulations for generative AI could look like.

Jun 12th 2026

1 Week

Artificial Intelligence AI Coursera Plus

Coursera

University of Illinois at Urbana-Champaign

Data Visualization (Coursera)

Statistics & Data Analysis Data Science

Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for pattern-based classification and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.

Jun 8th 2026

4 Weeks

Data Mining Numerical Analysis Data Visualization

Coursera

University of Colorado System

TCP/IP and Advanced Topics (Coursera)

Security & Networking

In this course, we give an in-depth study of the TCP/IP protocols. We examine the details of how IP enables communications across a collection of networks. We pay particular attention to the hierarchical structure of IP addresses and explain their role in ensuring scalability of the Internet. The role of address prefixes and the uses of masks are explained in details. We review in details about TCP three-way handshake, flow control, and congestion control. Furthermore, we provide an introduction to some advanced topics, including Multicast, SDN and security

Jun 8th 2026

5-12 Weeks

Security Networks TCP/IP

Coursera

University of Colorado System

Asymmetric Cryptography and Key Management (Coursera)

Security & Networking

In asymmetric cryptography or public-key cryptography, the sender and the receiver use a pair of public-private keys, as opposed to the same symmetric key, and therefore their cryptographic operations are asymmetric. This course will first review the principles of asymmetric cryptography and describe how the use of the pair of keys can provide different security properties. Then, we will study the popular asymmetric schemes in the RSA cipher algorithm and the Diffie-Hellman Key Exchange protocol and learn how and why they work to secure communications/access.

Jun 8th 2026

4 Weeks

Cryptography Networks Computer Security

Coursera

Google Cloud

Building Scalable Java Microservices with Spring Boot and Spring Cloud (Coursera)

Computer Science

"Microservices" describes a software design pattern in which an application is a collection of loosely coupled services. These services are fine-grained, and can be individually maintained and scaled. The microservices architecture is ideal for the public cloud, with its focus on elastic scaling with on-demand resources. In this course, you will learn how to build Java applications using Spring Boot and Spring Cloud on Google Cloud Platform.

Jun 9th 2026

2 Weeks

Java Cloud SQL

Coursera

University of Michigan

Introduction to Structured Query Language (SQL) (Coursera)

CS: Software Engineering CS: Programming

In this course, you'll walk through installation steps for installing a text editor, installing MAMP or XAMPP (or equivalent) and creating a MySql Database. You'll learn about single table queries and the basic syntax of the SQL language, as well as database design with multiple tables, foreign keys, and the JOIN operation. Lastly, you'll learn to model many-to-many relationships like those needed to represent users, roles, and courses.

Jun 8th 2026

4 Weeks

SQL PHP MySQL