BIGDATA ANALYSIS
Unlock the power of massive datasets and transform raw information into actionable insights with our comprehensive Big Data Analysis program! Master essential data processing frameworks like Hadoop and Spark while exploring advanced analytics techniques and data visualization tools. Dive deep into statistical modeling, predictive analytics, and business intelligence as you learn to handle structured and unstructured data at scale. Work with cutting-edge technologies including cloud computing platforms, NoSQL databases, and real-time streaming analytics. Whether you're aspiring to become a data scientist, business analyst, or big data engineer, this course will empower you to extract meaningful patterns from complex datasets and drive data-driven decision making that transforms businesses and industries!
Course Outcomes
Program Modules
Introduction to Big Data
Understanding Big Data characteristics, types, and industry relevance
Big Data Architecture
HDFS, Distributed File Systems, and Big Data Ecosystem Overview
Hadoop Framework
HDFS, MapReduce, YARN, and Hadoop cluster setup
Apache Spark
RDD, Spark SQL, DataFrames, and Spark Streaming
Data Ingestion Tools
Sqoop, Flume, Kafka for importing structured and unstructured data
Data Warehousing
Hive, HBase, and NoSQL databases for scalable data storage
Big Data Analytics
Using Python, R, and SQL to perform data cleaning and visualization
Cloud and Big Data
Big Data processing using AWS, Azure, and Google Cloud platforms
Data Security & Governance
Privacy, Ethics, and Secure Handling of Big Data
Real-Time Analytics
Processing and analyzing streaming data using Apache Storm and Spark
Capstone Project
End-to-end Big Data project: from ingestion to insights
Career & Portfolio Building
Industry applications, mock interviews, resume and project showcase









