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Big Data Analytics Course
Coderzon Technologies offers an exceptional Big Data Analytics course designed to equip you with the skills needed for success in the field. Our training includes expert instruction in Hadoop, Spark, and Cloud technologies, ensuring you gain a thorough understanding of big data frameworks and tools. With a focus on both data processing and analytics, our Big Data Analytics course prepares you to handle complex data sets and drive insightful decision-making. Benefit from our 100% job placement assistance and get trained by industry experts to advance your career in big data analytics with confidence.
Admission Process
There are 3 simple steps in the Admission Process which is detailed below
01
Fill the Application Form
Apply to our Big Data Analytics course by filling a simple online application form to kick-start the admission process.
02
Interview Process & Demo Session
Go through a screening call with Admissions office and Book your demo.
03
Join the Program
Block your seat for Big Data Analytics course with a payment of ₹ 1000 to begin learning with prep course.
What You Will Learn In Our Big Data Analytics Course
Introduction to Big Data Analytics
Course Orientation and Overview
- Understanding Big Data: Concepts and Use Cases
- The Importance of Big Data Analytics
- Career Paths in Big Data Analytics
Fundamentals of Data Science
- Introduction to Data Science and Analytics
- Basic Statistics for Data Analysis
- Data Visualization with Seaborn and Matplotlib
Advanced Python Programming (Weeks 3-6)
Python Programming Essentials
- Python Basics: Syntax, Data Types, and Control Structures
- Advanced Python: Functions, Modules, and Exception Handling
Data Manipulation and Visualization
- Data Analysis with Numpy and Pandas
- Creating Stunning Visuals with Seaborn and Matplotlib
- Web Development with Django: A High-level Python Web Framework
Hadoop and Big Data Frameworks (Weeks 7-12)
Introduction to Hadoop
- Hadoop Ecosystem Overview
- HDFS (Hadoop Distributed File System)
- YARN (Yet Another Resource Negotiator)
MapReduce Programming
- Fundamentals of MapReduce
- Developing MapReduce Programs using Python
- Data Processing with MapReduce: CSV and JSON Data
Advanced Hadoop Concepts
- Data Loading and Transformation
- File Structures and Input Splits
- Using Combiners for Optimization
PySpark and Real-Time Data Processing (Weeks 13-18)
Introduction to Apache Spark
- Understanding Spark Architecture
- Resilient Distributed Datasets (RDDs)
- DataFrame API and Spark SQL
Advanced PySpark Techniques
- SQL-based Data Manipulation with PySpark
- Real-Time Data Streaming with Spark Streaming
- Machine Learning with MLLib in Spark
Cloud Computing with AWS (Weeks 19-24)
Fundamentals of Cloud Computing
- Introduction to Cloud Computing and AWS
- AWS Core Services: EC2, S3, RDS, and IAM
- AWS Regions, Zones, and Availability Groups
Advanced AWS for Big Data
- Load Balancing and Auto-scaling with AWS
- Containerization with Docker and Kubernetes
- Object Storage with S3 Buckets
- Secure AMI Configurations and Management
Database Management on AWS
- Relational Databases with AWS RDS
- NoSQL Databases with MongoDB on AWS
- Enterprise Service Bus (ESB) Integration
Big Data Analytics Implementation (Weeks 25-26)
Capstone Project: Real-World Big Data Application
- Project Planning and Data Collection
- Data Processing and Analysis
- Visualization and Presentation of Insights
Course Review and Final Assessments
- Review of Key Concepts and Technologies
- Final Project Presentations
- Career Guidance and Job Placement Assistance
Why Choose Our Big Data Analytics Course?
- Expert Instructors: Learn from experienced professionals who bring real-world knowledge and practical insights.
- Hands-On Projects: Work on real-time projects to apply what you’ve learned and build a robust portfolio.
- Comprehensive Curriculum: Cover all aspects of the Big Data Analytics to ensuring a complete understanding of the technology.
- Career Support: Receive 100% placement assistance to help you transition smoothly into the tech industry.
New Batch Opening For Big Data Analytics Course
Next Batch
Cochin: Aug 12th 2024 (Offline & Online)Duration: 6 Months, 5 Days a Week, 2 Hours/day
Course Fees:
Fees (One time Payment mode) 55,000
Fees (EMI Mode) 60,000
Registration Fee: 1000
Certification: Course completion certificate from coderzon.
For New Admissions Click Enroll Button
Course Overview
The concept of Big Data emerged in the early 2000s as organizations began to accumulate vast amounts of data from various sources, far exceeding traditional data processing capabilities. Technologies like Hadoop, introduced by Yahoo in 2006, and Apache Spark, released in 2014, revolutionized the field by providing scalable frameworks for processing and analyzing large datasets. Cloud computing further accelerated this evolution, offering scalable storage and processing power. Together, these advancements have shaped the modern landscape of Big Data analytics, enabling businesses to unlock valuable insights and drive data-driven decision-making.
Our Big Data Analytics Expert course is crafted to immerse you in the powerful technologies that are transforming how organizations process, analyze, and derive insights from massive datasets. This comprehensive training covers Hadoop, Spark, and Cloud Computing, equipping you with the skills necessary to excel in data engineering, data analysis, and data science. Through a blend of theoretical knowledge and hands-on practice, you’ll learn to harness these technologies to extract actionable insights and drive innovation within your organization.
Technologies Covered in the Big Data Analytics Course
- Python: Core language for data analysis and programming.
- SQL: Standard language for relational database management systems.
- Django: High-level Python web framework for rapid development.
- Apache Hadoop: Distributed storage and processing of large data.
- Apache Spark: Unified analytics engine for big data processing.
- Seaborn and Matplotlib: Tools for data visualization and exploration.
- Relational Databases: Structured data management with AWS RDS.
- NoSQL Databases: Scalable, flexible data handling with MongoDB.
- AWS S3: Scalable object storage in the cloud.
- Docker: Containerization for efficient deployment and scaling.
- Kubernetes: Container orchestration for managing applications across hosts.
- AWS Load Balancing: Efficient distribution of incoming application traffic.
- Secure AMI Configurations: Configuration and management of Amazon Machine Images (AMIs).
- Amazon Web Services (AWS): Cloud computing platform for scalable and reliable services.
- AWS Regions, Zones, and Availability Groups: Geographic locations and fault-tolerant architectures.
- Enterprise Service Bus (ESB) Integration: Middleware for integrating various applications.
- Spark Streaming: Real-time data processing with Apache Spark.
Big Data Analytics Course Summary
The Big Data Analytics Expert course provides an in-depth exploration of the tools and techniques essential for mastering Big Data analytics. From foundational knowledge in advanced Python programming to practical applications using Hadoop and Spark, this course prepares you for a career in managing and analyzing large-scale datasets. You’ll gain proficiency in using advanced Python features for data visualization, understand the intricacies of Hadoop’s distributed file system and MapReduce, and explore the full capabilities of Apache Spark. Additionally, you’ll delve into cloud computing with AWS, learning about containerization, load balancing, and database management. By the end of the course, you will have the expertise to proficiently navigate the big data landscape and implement effective data-driven solutions.