Analyzing Big Data with SQL
This course is part of Modern Big Data Analysis with SQL Specialization.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Modern Big Data Analysis with SQL Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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English
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What you'll learn
Master the fundamentals of SQL SELECT statements
Learn effective data filtering techniques
Implement grouping and aggregation for analytics
Manage and sort query results efficiently
Combine data using UNION and JOIN operations
Apply SQL skills to real-world big data scenarios
Skills you'll gain
This course includes:
7.1 Hours PreRecorded video
12 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 6 modules in this course
This comprehensive course provides an in-depth exploration of SQL SELECT statements and their main clauses, focusing on big data SQL engines Apache Hive and Apache Impala. Students learn to navigate databases, filter results, perform grouping and aggregation for analytics, and combine data from multiple tables. The course covers practical applications in both big data environments and traditional RDBMs, with hands-on exercises using a virtual machine environment.
Orientation to SQL on Big Data
Module 1 · 2 Hours to complete
SQL SELECT Essentials
Module 2 · 2 Hours to complete
Filtering Data
Module 3 · 3 Hours to complete
Grouping and Aggregating Data
Module 4 · 3 Hours to complete
Sorting and Limiting Data
Module 5 · 2 Hours to complete
Combining Data
Module 6 · 3 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Modern Big Data Analysis with SQL Specialization
Instructor
Staff Curriculum Developer and Data Science Expert
Ian Cook is a Staff Curriculum Developer at Cloudera, where he leverages his deep expertise in data science and statistics to create impactful learning materials. Ian has authored several R packages and has held data scientist roles at TIBCO Software and Advanced Micro Devices. In addition to his work at Cloudera, he is the cofounder of Research Triangle Analysts, the largest data science meetup group in Raleigh, North Carolina. Ian holds a master’s degree in statistics from Lehigh University. His extensive background in data science and his commitment to education are reflected in his courses, including Analyzing Big Data with SQL and Managing Big Data in Clusters and Cloud Storage, where he helps learners develop the skills to analyze and manage large-scale data effectively.
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Frequently asked questions
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