BCS704
Data Analytics notes — handwritten
The discipline of extracting actionable insights from large datasets. This course covers the Big Data ecosystem, focusing on distributed processing frameworks like Hadoop and the statistical analysis needed for business intelligence.
The unit order below follows the standard university teaching sequence. Use these topic-wise lecture notes, revision checklists, and important exam questions to structure your exam preparation effectively.
Unit-wise Syllabus & Notes
Unit 1
Data analytics lifecycle and data preparation
Notes, worked approach, and a revision checklist.
Open unitUnit 2
Big data characteristics and the Hadoop ecosystem
Notes, worked approach, and a revision checklist.
Open unitUnit 3
MapReduce and distributed processing
Notes, worked approach, and a revision checklist.
Open unitUnit 4
NoSQL stores and data modelling
Notes, worked approach, and a revision checklist.
Open unitUnit 5
Stream analytics and data visualisation
Notes, worked approach, and a revision checklist.
Open unitScope & Objectives of Data Analytics
Understanding the core objectives of Data Analytics is crucial for exam preparation. The syllabus is designed to achieve the following learning outcomes:
- To introduce the data analytics lifecycle and exploratory data analysis.
- To explain the challenges of Big Data and the Hadoop ecosystem.
- To teach distributed data processing and NoSQL database modeling.
Frequently Asked Questions
What is the syllabus for Data Analytics?
The syllabus is divided into 5 main units: Data analytics lifecycle and data preparation, Big data characteristics and the Hadoop ecosystem, MapReduce and distributed processing, NoSQL stores and data modelling, Stream analytics and data visualisation. Each unit covers specific topics essential for university examinations.
Where can I find important questions for Data Analytics?
Wink Notes provides unit-wise worked approaches, past-paper analysis, and a revision checklist to help you identify and practice the most important questions for Data Analytics.
How many units are in Data Analytics?
Data Analytics (BCS704) is divided into 5 units: Data analytics lifecycle and data preparation, Big data characteristics and the Hadoop ecosystem, MapReduce and distributed processing, NoSQL stores and data modelling, Stream analytics and data visualisation. Each unit is covered with detailed topic-wise lecture notes, worked examples, and a revision checklist.