Big Data Analysis Deep Dive (Coursera)

Offered by 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!

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

Syllabus

WEEK 1: Python Structured Data Processing Quick Start
WEEK 2: SQL for Beginners - Basic Queries
WEEK 3: How to Use Spark on Cloud Series 2 - Spark Python
WEEK 4: Alibaba Cloud Big Data Quickstart Series: Data Integration
WEEK 5: Alibaba Cloud MaxCompute - Data Transmission
WEEK 6: Analyze Log Data with Alibaba Cloud Big Data Platform
WEEK 7: Data Development with DataWorks and MaxCompute
WEEK 8: Using Hive and Hadoop on E-MapReduce
WEEK 9: Using Spark on E-MapReduce
WEEK 10: Quickly Generate Business Intelligence Diagrams With QuickBI
WEEK 11: Quickly Generate Large Dashboards For Data Visualization
WEEK 12: Data Visualization Using Python

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

Related Courses

Serverless Data Processing with Dataflow: Foundations (Coursera) Coursera
Google Cloud

Serverless Data Processing with Dataflow: Foundations (Coursera)

This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow. Next, we talk about the Apache Beam vision and the benefits of the Beam Portability framework. The Beam Portability framework achieves the vision that a developer can use their favorite programming language with their preferred execution backend.

Sep 21st 2026
2 Weeks
Business intelligence and data analytics: Generate insights (Coursera) Coursera
Macquarie University

Business intelligence and data analytics: Generate insights (Coursera)

‘Megatrends’ heavily influence today’s organisations, industries and societies, and your ability to generate insights in this area is crucial to your organisation’s success into the future. This course will introduce you to analytical tools and skills you can use to understand, analyse and evaluate the challenges and opportunities ‘megatrends’ will inevitably bring to your organisation.

Sep 21st 2026
5-12 Weeks
Data Visualization with Python & R for Engineers (Coursera) Coursera
Northeastern University

Data Visualization with Python & R for Engineers (Coursera)

The primary objective of this course is to offer students an opportunity to learn how to use visualization tools and techniques for data exploration, knowledge discovery, data storytelling, and decision making in engineering, healthcare operations, manufacturing, and related applications. This course covers basics of data mining and visualization, and Python. It also introduces students to static visualization charts and techniques that reveal information, patterns, interactions.

Sep 28th 2026
4 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.

Sep 21st 2026
3 Weeks
Applied Social Network Analysis in Python (Coursera) Coursera
University of Michigan

Applied Social Network Analysis in Python (Coursera)

This course will introduce the learner to network analysis through the NetworkX library. The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks. The second week introduces the concept of connectivity and network robustness.. The third week will explore ways of measuring the importance or centrality of a node in a network. The final week will explore the evolution of networks over time and cover models of network generation and the link prediction problem.

Sep 28th 2026
4 Weeks
Discovering BI: From Warehousing to Interactive Dashboards (Coursera) Coursera
Coursera Instructor Network

Discovering BI: From Warehousing to Interactive Dashboards (Coursera)

In a world where vast amounts of data are generated every second, understanding database structures and the art of transforming data into intelligence is increasingly crucial for those looking to excel in this realm. To embark on this journey, there is no better starting point than Business Intelligence (BI), covering everything from data storage to the creation of engaging dashboards.

Sep 28th 2026
1 Week
Getting Started with CyberGIS (Coursera) Coursera
University of Illinois at Urbana-Champaign

Getting Started with CyberGIS (Coursera)

This course is intended to introduce students to CyberGIS—Geospatial Information Science and Systems (GIS)—based on advanced cyberinfrastructure as well as the state of the art in high-performance computing, big data, and cloud computing in the context of geospatial data science. Emphasis is placed on learning the cutting-edge advances of cyberGIS and its underlying geospatial data science principles.

Sep 28th 2026
4 Weeks
Security and Privacy for Big Data - Part 2 (Coursera) Coursera
EIT Digital

Security and Privacy for Big Data - Part 2 (Coursera)

This course sensitizes regarding privacy and data protection in Big Data environments. You will discover privacy preserving methodologies, as well as data protection regulations and concepts in your Big Data system. By the end of the course, you will be ready to plan your next Big Data project successfully, ensuring that all privacy and data protection related issues are under control.

Sep 21st 2026
1 Week
Code Free Data Science (Coursera) Coursera
University of California, San Diego

Code Free Data Science (Coursera)

The Code Free Data Science class is designed for learners seeking to gain or expand their knowledge in the area of Data Science. Participants will receive the basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requirements. Machine Learning methods will be presented by utilizing the KNIME Analytics Platform to discover patterns and relationships in data.

Sep 28th 2026
4 Weeks
Machine Learning for Accounting with Python (Coursera) Coursera
University of Illinois at Urbana-Champaign

Machine Learning for Accounting with Python (Coursera)

This course, Machine Learning for Accounting with Python, introduces machine learning algorithms (models) and their applications in accounting problems. It covers classification, regression, clustering, text analysis, time series analysis. It also discusses model evaluation and model optimization. This course provides an entry point for students to be able to apply proper machine learning models on business related datasets with Python to solve various problems.

Sep 21st 2026
5-12 Weeks
Applied Calculus with Python (Coursera) Coursera
Johns Hopkins University

Applied Calculus with Python (Coursera)

This course is designed for the Python programmer who wants to develop the foundations of Calculus to help solve challenging problems as well as the student of mathematics looking to learn the theory and numerical techniques of applied calculus implemented in Python. By the end of this course, you will have learned how to apply essential calculus concepts to develop robust Python applications that solve a variety of real-world challenges.

Sep 28th 2026
5-12 Weeks