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- What is Big Data? What is Hadoop?
- Anatomy of HDFS; blocks of data ;
- How to extract data from Hadoop- basic understanding of how to write code
- Map reduce – a programmer’s tool – brief introduction
- Pig Latin – Reading data – data retrieval ; saving datasets
- Data Preparation and Management – Types of variables – Identifying the business Y – Basic Statistics – Merging and Appending data – Primary key concept – Missing values – Outliers –
- Data visualisation-Graphs , Charts – the basics
- Normal Distribution
- Correlation , Covariance
- Hypothesis Testing – T Test – Annova –
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