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.
Explore More Learning Paths
Enhance your big data capabilities with additional courses that deepen your understanding of distributed systems, large-scale data processing, and cloud-based engineering. These learning paths help you build a complete skill set for modern data engineering and analytics roles.
Related Courses
1. Introduction to Big Data Course
Get a strong foundation in the big data ecosystem, including key technologies, frameworks, and concepts used to process massive datasets.
2. Data Engineering, Big Data and Machine Learning on GCP Specialization Course
Learn how to design and deploy data pipelines, manage large-scale workloads, and apply machine learning on Google Cloud Platform.
3. Big Data Integration and Processing Course
Master data ingestion, transformation, and distributed processing using industry-standard big data frameworks and tools.
Related Reading
What Does a Data Engineer Do?
A detailed overview of data engineering roles, responsibilities, and required skills — perfectly aligned with the big data processing and pipeline development concepts in this specialization.
Specification: Big Data Specialization Course
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