Big Data Analytics: Beginner
Introduction to Big Data Analytics: Beginner
Overview:
- Understand data fundamentals, key tools like Excel & SQL, and explore data collection, cleaning, and visualization techniques.
- Duration: 1 Month
Topics Covered:
- Fundamentals of big data and its characteristics
- Introduction to big data technologies (Hadoop, Spark)
- Basic data storage and processing techniques
- Overview of data ingestion and ETL processes
- Simple data analysis and visualization
Syllabus
Learning Outcome
- Understand core big data concepts, use basic big data technologies, manage data storage and processing, and perform introductory data analysis and visualization.
Reviews
🛣️ Big Data Analytics Roadmap for Beginner Level
Begin your journey into Big Data by understanding its fundamentals, core technologies, and basic hands-on tools to process and analyze large datasets.
Big Data Analytics Beginner
Start your journey by learning the fundamentals of big data, data ingestion, Hadoop ecosystem, and data warehousing.
Big Data Analytics Level 01
Advance your skills with processing frameworks like Apache Pig, HBase, Spark, and gain knowledge of streaming analytics.
Big Data Analytics Level 02
Master NoSQL databases, data visualization, big data on cloud, and end-to-end big data project execution.
Internship
Work on live big data and analytics projects during a free 1-year internship to build hands-on experience.
Mini Project
Apply your skills on guided mini projects to solve real-world big data challenges.
Expected Jobs
Join the big data industry with roles such as Big Data Engineer, Data Analyst, Hadoop Developer, and Data Visualization Specialist.
🏆 Career Destinations
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