Description

Course Description:

The Big Data Analytics is transforming industries by helping organizations extract powerful insights from massive volumes of data. This course is designed to equip learners with essential skills in data processing, data mining, real-time analytics, and scalable system management using cutting-edge tools. You will learn how to work with structured and unstructured data, apply machine learning techniques, and utilize cloud-based platforms for large-scale analytics. With hands-on projects guided by industry experts, this program prepares you to solve complex business challenges and become a highly skilled Big Data professional. Unlock opportunities in data engineering, data science, and analytics—where the future of innovation lies.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After Big Data Certified Course:

• Big Data Engineer
• Data Analyst
• Data Scientist
• Business Intelligence Analyst
• Machine Learning Engineer
• Data Architect
• Cloud Data Engineer
• Hadoop Developer
• Data Visualization Specialist
• Analytics Consultant

Essential Skills you will Develop Big Data Certified Course:

• Data collection, cleaning & preprocessing
• Working with structured & unstructured data
• Big data technologies like Hadoop & Spark
• SQL & NoSQL database management
• Data visualization & dashboard creation
• Machine learning fundamentals for analytics
• Cloud-based analytics (AWS, Azure, GCP)
• Real-time data processing & streaming analytics
• ETL (Extract, Transform, Load) pipeline development
• Problem-solving & analytical decision-making

Tools Covered:

• Hadoop Ecosystem (HDFS, MapReduce)
• Apache Spark
• Apache Hive & Pig
• Apache Kafka
• SQL & NoSQL Databases (MySQL, MongoDB, Cassandra)
• Python & R Programming
• Tableau / Power BI for data visualization
• AWS / Azure / Google Cloud Platforms
• Apache Flink / Storm for real-time processing
• Jupyter Notebook & Git for project development

Syllabus:

Module 1: Introduction to Big Data Concepts, characteristics & applications of Big Data  Data types, sources & ecosystem overview.

Module 2: Hadoop Framework HDFS architecture, MapReduce fundamentals Data storage & distributed computing

Module 3: Hadoop Ecosystem Tools Hive, Pig, Sqoop, HBase basics Data warehousing & query processing.

Module 4: SQL & NoSQL Databases  Relational databases (MySQL, PostgreSQL NoSQL databases (MongoDB, Cassandra)

Module 5: Apache Spark for Big Data Processing RDDs, DataFrames  PySpark, machine learning with Spark MLlib.

Module 6: Real-time Data Streaming Apache Kafka & Apache Flink/Storm Stream processing & real-time analytics.

Module 7: Programming for Big Data Python & R for data analysis Data handling libraries (Pandas, NumPy).

Module 8: Data Analytics & Machine Learning Supervised & unsupervised learning techniques Model evaluation & optimization.

Module 9: Data Visualization & BI Tools Tableau / Power BI dashboards Storytelling with data & reporting.

Module 10: Cloud Big Data Deployment AWS, Azure, GCP services for big data  Big data pipelines & end-to-end project execution.

Industry Projects:

• Customer Sentiment Analysis
• E-commerce Recommendation
• Fraud Detection Model
• Real-time Streaming Dashboard
• Sales Forecasting
• Healthcare Data Analytics
• IoT Sensor Data Management
• Predictive Maintenance
• Big Data Warehouse
• Big Data Pipeline Deployment

Who is this program for?

• Students interested in data analytics
• Fresh graduates seeking tech careers
• IT professionals upskilling to big data
• Software developers moving to data roles
• Data analysts upgrading to advanced analytics
• Cloud & database professionals
• Business analysts improving data decisions
• Researchers working with large datasets
• Entrepreneurs building data-driven solutions
• Anyone seeking high-growth data careers

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com