Big Data Analytics - Nasscom FutureSkills Prime
Description
A comprehensive learning pathway that develops expertise in collecting, processing, analyzing and visualizing large-scale datasets to derive actionable business insights using modern big data technologies, statistical methods, and machine learning techniques.
Learning Objectives
Upon completion of this pathway, learners will be able to design and implement end-to-end big data solutions, apply statistical and machine learning techniques to extract meaningful insights from massive datasets, utilize modern big data frameworks like Hadoop and Spark, create compelling data visualizations, and deploy scalable analytics solutions on cloud platforms while ensuring data governance and ethical considerations.
Courses in this Bundle (10)
Big Data Ethics and Governance
Comprehensive understanding of ethical considerations, legal compliance, privacy protection, and governance frameworks for responsible big data analyt...
Cloud-based Big Data Solutions
Design and implementation of scalable big data solutions on major cloud platforms including AWS, Microsoft Azure, and Google Cloud Platform with focus...
Programming for Big Data
Essential programming skills and languages required for big data analytics including Python, R, SQL, Java, and Scala with focus on data manipulation, ...
Statistical Analysis for Big Data
Core statistical concepts and methods essential for analyzing large datasets, including descriptive statistics, probability theory, hypothesis testing...
Data Visualization and Business Intelligence
Creation of compelling data visualizations and interactive dashboards using modern BI tools like Tableau, Power BI, and programming-based visualizatio...
Data Management and Warehousing
Comprehensive data management strategies including data modeling, ETL processes, data warehousing, data lakes, and master data management for big data...
Machine Learning for Big Data
Application of machine learning algorithms and techniques to big data problems including supervised and unsupervised learning, deep learning, and dist...
Advanced Analytics and Applications
Advanced analytical techniques including predictive analytics, prescriptive analytics, real-time analytics, IoT analytics, and specialized big data ap...
Big Data Processing Frameworks
Comprehensive understanding of distributed computing frameworks including Hadoop ecosystem, Apache Spark, MapReduce, HDFS, and other technologies for ...
Foundations of Big Data Analytics
Introduction to big data concepts, characteristics, applications, and the analytical ecosystem that enables processing of large-scale datasets.