Advanced Certificate in Big Data & Analytics
Advanced Certificate in Big Data & Analytics
This course is designed for individuals looking to dive deep into large-scale data processing, analytics frameworks, and cutting-edge tools used by data engineers and analysts worldwide.
In an era where every click, swipe, and stream generates data, this course helps you master how to store, process, and derive insights from that flood of information.
???? What You’ll Explore :
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Big Data Ecosystem – Understand how big data works at scale
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Hadoop Architecture – HDFS, MapReduce, Hive, Pig
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Apache Spark – Real-time data streaming & analytics
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Data Wrangling & Cleaning
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Analytics with Python & R (Basics)
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Data Visualization Techniques
???? Who Should Enroll :
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Aspiring Data Analysts
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Data Engineers
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IT Professionals looking to upskill
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Graduates aiming for data-focused careers
???? What You Get :
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Hands-on training with real datasets
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Industry-relevant tools and frameworks
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Certification to validate your expertise
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Career guidance for roles like Big Data Analyst, Data Engineer, Hadoop Developer
INTRODUCTION TO BIG DATA AND ANALYTICS
- Overview of big data concepts and challenges
- Introduction to analytics and its importance
- Understanding different types of data (structured, semi-structured, unstructured)
BIG DATA TECHNOLOGIES
- Introduction to Hadoop ecosystem (HDFS, Map Reduce, YARN)
- Overview of Apache Spark and its ecosystem
- Understanding distributed computing principles
DATA PROCESSING AND MANAGEMENT
- Working with Hadoop Distributed File System (HDFS)
- Processing data with MapReduce and Spark
- Introduction to data ingestion and storage (Hive, Base)
DATA ANALYSIS AND VISUALIZATION
- Introduction to data analysis techniques (descriptive, diagnostic, predictive, prescriptive)
- Data visualization principles and tools (e.g., Tableau, Power BI)
- Exploratory data analysis (EDA)
MACHINE LEARNING FOR BIG DATA
- Introduction to machine learning algorithms
- Implementing machine learning models with Spark MLib
- Model evaluation and tuning in big data environments
ADVANCED TOPICS IN BIG DATA ANALYTICS
- Stream processing with technologies like Apache Kafka
- Real-time analytics and monitoring
- Introduction to cloud-based big data solutions (AWS, Azure)
CAPSTONE PROJECT
- Students work on a real-world big data analytics project
- Applying all concepts learned throughout the course
- Presentation and demonstration of the project
Guy Hawkins
Project ManagerNam vel lacus eu nisl bibendum accumsan vitae vitae nibh. Nam nec eros id magna hendrerit sagittis. Nullam sed mi non odio feugiat volutpat sit amet nec elit. Maecenas id hendrerit ipsum. Sed eget auctor metus, ac dapibus dolor.
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