Big Data Analytics
About this course
Ready to turn massive, complex datasets into actionable business insights? This advanced Big Data Analytics course is designed for learners with basic SQL, Python programming, and experience using predictive tools who want to build practical skills for data-driven careers. Learn how to work with the technologies behind modern big data analytics, including Hadoop, HDFS, MapReduce, Hive, Pig, NoSQL, Apache Spark, and PySpark. Through hands-on exercises, you’ll analyze high-volume, high-velocity, and high-variety data, query distributed datasets, and understand how to choose the right technologies for real-world data challenges. Go beyond data processing with Spark Streaming and machine learning on Spark. Build regression and classification models with MLlib, explore sentiment analysis, and work with streaming data in an end-to-end predictive analytics application. You’ll also gain exposure to running Hadoop and Spark on the cloud using Google Cloud Dataproc. By the end of the course, you’ll be able to work with distributed data, develop big data applications, and draw analytical insights from large-scale datasets—building valuable skills for a career in big data analytics and business analysis.
90/100
CourseAsk score
- What the provider tells you
- 39/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- Understand Hadoop and Spark ecosystems
- Gain hands-on experience with HDFS, MapReduce, Pig, and Hive
- Differentiate between relational (SQL) and nonrelational (NoSQL) databases
- Implement and deploy a machine learning application for streaming data
- Extract insights from big data to support decision-making
Course objectives
- Equip learners with practical skills for big data management
- Enhance understanding of data storage contexts
- Foster ability to apply data analytics in business settings
Price shown by Coursera — confirm on their site.
Enroll on CourseraYou'll be redirected to Coursera to complete enrollment.
- Listed & compared by CourseAsk
- English · 0
Udemy
edX
Coursera
Compared on these lists
Where this course ranks against the alternatives.