What will you learn in Big Data Specialization Course
Understand how big data is organized, analyzed, and interpreted to drive business decisions.
Gain hands-on experience with tools like Hadoop, Spark, Pig, Hive, and NoSQL databases.
Learn data integration, management, and pipeline design for large-scale datasets.
Apply statistical analysis, regression, and predictive modeling to real-world data problems.
Explore graph analytics and database management for problem modeling and analysis.
Complete a Capstone Project in partnership with Splunk, applying skills to basic big data analysis.
Program Overview
Course 1: Introduction to Big Data
⏳ 18 hours
Understand the Big Data landscape and key concepts (Volume, Velocity, Variety, Veracity, Valence, Value).
Learn Hadoop architecture, HDFS, YARN, and MapReduce programming.
Hands-on exercises to install and run Hadoop programs.
Course 2: Big Data Modeling and Management Systems
⏳ 14 hours
Learn data collection, storage, and organization for big data.
Hands-on experience with management tools and data infrastructure.
Explore evolving platforms for large-scale data management.
Courses 3–6
⏳ 10–15 hours each
Topics include big data analysis with Spark, NoSQL databases, data mining, and applied machine learning.
Hands-on labs for exploratory data analysis, predictive modeling, and graph analytics.
Capstone project integrates all skills in real-world big data scenarios.
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Job Outlook
Prepares learners for roles like Big Data Analyst, Data Engineer, and Business Intelligence Specialist.
Skills applicable across tech, finance, healthcare, retail, and e-commerce industries.
Enables effective communication with data scientists and participation in large-scale data projects.
Knowledge in Hadoop, Spark, and NoSQL enhances career prospects in high-demand data roles.
Specification: Big Data Specialization Course
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