Big Data Analysis Deep Dive
Master big data tools: Python, SQL, MaxCompute, Quick BI, Hive, Hadoop, Spark. Learn data processing, analysis, and visualization.
Master big data tools: Python, SQL, MaxCompute, Quick BI, Hive, Hadoop, Spark. Learn data processing, analysis, and visualization.
This comprehensive course offers a deep dive into Big Data analysis, catering to the growing job market for professionals with expertise in this field. The curriculum covers a wide range of fundamental tools and techniques essential for a career in Big Data. Participants will learn data processing with Python, writing and reading SQL queries, data transmission using MaxCompute, data analysis with Quick BI, utilizing Hive, Hadoop, and Spark on E-MapReduce, and creating impactful data visualizations with dashboards. The course is designed to provide a holistic understanding of the Big Data ecosystem, from data processing and analysis to visualization and interpretation. By the end of the course, learners will have gained practical skills in handling large datasets, performing complex analyses, and presenting insights through various visualization techniques, preparing them for certification as a Big Data Professional.
4.6
(28 ratings)
1,903 already enrolled
Instructors:
English
English (Original), Deutsch (Auto), हिन्दी (ऑटो), 18 more
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What you'll learn
Understand and apply Python for structured data processing
Write and execute SQL queries for data manipulation and analysis
Use MaxCompute for efficient big data transmission and processing
Analyze data using Quick BI and create insightful visualizations
Leverage Hive, Hadoop, and Spark on E-MapReduce for distributed data processing
Develop data integration workflows using DataWorks
Skills you'll gain
This course includes:
14 Hours PreRecorded video
1 quiz
Access on Mobile, Tablet, Desktop
FullTime access
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There are 12 modules in this course
This course provides a comprehensive exploration of Big Data analysis techniques and tools. It covers data processing with Python, SQL querying, data transmission with MaxCompute, analysis using Quick BI, utilization of Hive, Hadoop, and Spark on E-MapReduce, and data visualization techniques. The curriculum is designed to equip learners with practical skills in handling large datasets, performing complex analyses, and creating impactful visualizations. Each module focuses on a specific aspect of Big Data, ensuring a well-rounded understanding of the entire data pipeline from processing to visualization.
Python Structured Data Processing Quick Start
Module 1 · 45 Minutes to complete
SQL for Beginners - Basic Queries
Module 2 · 1 Hours to complete
How to Use Spark on Cloud Series 2 - Spark Python
Module 3 · 1 Hours to complete
Alibaba Cloud Big Data Quickstart Series: Data Integration
Module 4 · 1 Hours to complete
Alibaba Cloud MaxCompute - Data Transmission
Module 5 · 46 Minutes to complete
Analyze Log Data with Alibaba Cloud Big Data Platform
Module 6 · 56 Minutes to complete
Data Development with DataWorks and MaxCompute
Module 7 · 1 Hours to complete
Using Hive and Hadoop on E-MapReduce
Module 8 · 1 Hours to complete
Using Spark on E-MapReduce
Module 9 · 1 Hours to complete
Quickly Generate Business Intelligence Diagrams With QuickBI
Module 10 · 1 Hours to complete
Quickly Generate Large Dashboards For Data Visualization
Module 11 · 1 Hours to complete
Data Visualization Using Python
Module 12 · 1 Hours to complete
Fee Structure
Instructor
Senior Training Specialist
Jeremy is a passionate technologist who is excited about the opportunities created when small and medium-size businesses embrace the cloud. He has over ten years of experience in the IT sector and holds a Masters in Computer Vision. He works in Hangzhou China at Alibaba Cloud headquarters, where he is part of a team dedicated to helping customers outside China understand and make use of Alibaba Cloud’s platform.
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4.6 course rating
28 ratings
Frequently asked questions
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