Data Analytics and Big Data Course
Transform raw data into actionable insights with Python, SQL, Hadoop, and machine learning. Master the tools that drive business decisions in the digital age.
Explore Course14
Months Duration
92%
Job Placement Rate
25+
Live Projects
450+
Hiring Partners
Course Overview
Complete Data Pipeline
Learn end-to-end data processing from collection and storage to analysis and visualization. Master tools like Python, SQL, Hadoop, Spark, and Tableau.
Big Data Technologies
Gain expertise in handling massive datasets using distributed computing frameworks, cloud platforms, and modern big data architectures.
Machine Learning Integration
Build predictive models and implement machine learning algorithms to extract valuable insights from complex datasets.
Industry Applications
Work on real-world projects across finance, healthcare, retail, and technology sectors to build a comprehensive portfolio.
Program Modules
Module 1: Data Analytics Foundations
- Statistics and probability fundamentals
- Data types and data structures
- Descriptive and inferential statistics
- Hypothesis testing and A/B testing
- Data quality and data cleaning
Sample Project 1: Sales Performance Analysis
Analyze retail sales data to identify trends, seasonality, and key performance indicators using statistical methods.
Sample Project 2: Customer Behavior Study
Conduct comprehensive analysis of customer purchase patterns and segment customers based on behavior.
Sample Project 3: Marketing Campaign Analysis
Evaluate marketing campaign effectiveness using A/B testing and statistical significance testing.
Module 2: Python for Data Science
- Python programming fundamentals
- NumPy for numerical computing
- Pandas for data manipulation
- Matplotlib and Seaborn for visualization
- Jupyter notebooks and development environment
Sample Project 1: Stock Market Analysis
Build a comprehensive stock market analysis tool using Python libraries to track and predict market trends.
Sample Project 2: Weather Data Visualization
Create interactive visualizations of weather patterns and climate data using advanced plotting techniques.
Sample Project 3: Social Media Analytics
Analyze social media engagement data to understand user behavior and content performance metrics.
Module 3: SQL and Database Management
- Advanced SQL queries and joins
- Database design and optimization
- Data warehousing concepts
- ETL processes and data pipelines
- NoSQL databases (MongoDB, Cassandra)
Sample Project 1: E-commerce Data Warehouse
Design and implement a complete data warehouse for an e-commerce platform with complex reporting requirements.
Sample Project 2: Hospital Management System
Build a healthcare analytics database with patient records, treatment history, and outcome analysis.
Sample Project 3: Financial Trading Database
Create a high-performance trading database with real-time data processing and historical analysis capabilities.
Module 4: Big Data Technologies
- Hadoop ecosystem and HDFS
- Apache Spark for large-scale processing
- Apache Kafka for streaming data
- Hive and Pig for data processing
- Distributed computing concepts
Sample Project 1: Real-time Log Analysis
Build a real-time log analysis system using Kafka and Spark to monitor application performance and detect anomalies.
Sample Project 2: Recommendation Engine
Develop a scalable recommendation system using Spark MLlib to handle millions of user interactions.
Sample Project 3: IoT Data Processing
Create a big data pipeline to process and analyze IoT sensor data from smart city infrastructure.
Module 5: Machine Learning & AI
- Supervised and unsupervised learning
- Scikit-learn and TensorFlow
- Feature engineering and selection
- Model evaluation and validation
- Deep learning fundamentals
Sample Project 1: Fraud Detection System
Build a machine learning model to detect fraudulent transactions in real-time using advanced algorithms.
Sample Project 2: Customer Churn Prediction
Develop a predictive model to identify customers likely to churn and implement retention strategies.
Sample Project 3: Image Classification System
Create a deep learning model for image classification using neural networks and computer vision techniques.
Module 6: Data Visualization & Business Intelligence
- Tableau and Power BI dashboards
- Interactive visualization techniques
- Business intelligence concepts
- Data storytelling principles
- Advanced charting and reporting
Sample Project 1: Executive Dashboard
Create an interactive executive dashboard showing key business metrics and KPIs with real-time data updates.
Sample Project 2: Sales Analytics Portal
Build a comprehensive sales analytics portal with drill-down capabilities and predictive forecasting.
Sample Project 3: Healthcare Analytics Dashboard
Develop a healthcare analytics dashboard showing patient outcomes, resource utilization, and operational efficiency.
Learning Methods
Hands-On Projects
Work with real datasets from various industries to solve actual business problems and build practical experience.
Case Study Analysis
Analyze real-world business cases to understand how data analytics drives decision-making in different industries.
Lab Sessions
Practice with industry-standard tools and technologies in dedicated lab environments with expert guidance.
Team Collaboration
Work in teams on complex projects, simulating real workplace environments and collaborative data science workflows.
Industry Mentorship
Learn from data scientists and analysts working at top companies with regular mentoring sessions and career guidance.
Innovation Challenges
Participate in hackathons and innovation challenges to solve complex problems using creative data solutions.
Career Opportunities
Data Analyst
Extract insights from data to support business decisions and create actionable reports for stakeholders.
Data Scientist
Build predictive models and use machine learning to solve complex business problems and drive innovation.
Big Data Engineer
Design and maintain large-scale data processing systems and infrastructure for handling massive datasets.
Business Intelligence Developer
Create dashboards and reporting solutions to help organizations make data-driven decisions.
Machine Learning Engineer
Deploy and maintain machine learning models in production environments for real-world applications.
Data Architect
Design data infrastructure and governance strategies for enterprise-level data management systems.
Why Choose Abeyaantrix?
Industry Expert Faculty
Learn from data scientists and analysts with extensive experience at leading companies like Amazon, Google, and Microsoft.
Real-World Projects
Work on actual business problems with real datasets from our industry partners across various sectors.
Cutting-Edge Curriculum
Stay updated with the latest tools, technologies, and methodologies in data analytics and big data.
Career Support
Comprehensive job placement assistance, resume building, and interview preparation with guaranteed support.
Advanced Infrastructure
Access to cloud-based big data platforms, premium software licenses, and high-performance computing resources.
Flexible Learning
Choose from weekday, weekend, or online learning options to fit your schedule and learning preferences.
Our Hiring Partners
We collaborate with leading companies to provide direct placement opportunities in data analytics and big data roles.
Advanced analytics solutions
Enterprise data platforms
Business intelligence specialists
Cloud-based data solutions
Machine learning applications
Data science consulting
Program Benefits
100% Job Assistance
Guaranteed placement support with our network of data-driven companies and dedicated career services team.
Industry Certification
Earn recognized certifications in data analytics, big data, and machine learning from leading technology providers.
Comprehensive Portfolio
Build an impressive portfolio with 25+ projects showcasing your skills across different industries and use cases.
Alumni Network
Join our exclusive community of data professionals for networking, knowledge sharing, and career growth opportunities.
Practical Experience
Gain hands-on experience with real datasets and industry-standard tools used by top companies worldwide.
Flexible Payment Plans
Multiple payment options including EMI, scholarships, and income-based repayment plans to make education accessible.
Ready to Master Data Analytics and Big Data?
Join the data revolution and transform your career with industry-leading skills and real-world experience
Enroll Now - Limited Seats Available