Big Data Analyst / Intro to Data Science
About this Course: Big Data Analyst Training in Hadoop course is for beginner programmers and business people who would like …
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About this Course:
Big Data Analyst Training in Hadoop course is for beginner programmers and business people who would like to understand and learn more advanced tools that wrestle and helps to study big data carefully.
Why should I go for Big Data Analyst Training?
Data scientists and analysts, who with their abilities do things very well, are required to study big data thoroughly and carefully. Engineers and developers who know their way around with Hadoop groups and other related technologies are hard to come by. This shortage of Big Data Analysts has necessitated the demand for more Big Data Analysts. Hence, one should grab this opportunity to make it big in their career life and become a Big Data Analyst.
Why is Big Data Analytics on Hadoop is important?
The huge amounts or huge quantity of Big Data Analytics Training and its format without its rules, schedules, etc., make it very hard to carefully study Big Data.
Job Opportunities for the Big Data Analytics
Knowledge about Big Data Analytics (information-giving numbers) on Hadoop will also prove to be a huge resume builder for students who are aiming to work in IT Industry.
Eligibility for Big Data Analyst
Data analysts / Data scientists who want to know and learn how to use their abilities to do things very well on Big Data.
Schedule: 5 Weeks Program
Every Sunday: 10:30 AM – 4:30 PM PST
Module 1 – Big Data Overview
- Lab 1 Cloudera Install
- Cloudera VM Walkthrough
Module 2 – Basic of Unix & Java
- Lab 2a Basic Unix Command
- Lab 2b Basic Java for Hadoop
Module 3 – HDFS and MapReduce Basic
- Lab 3 – Interacting with HDFS & MapReduce
Module 4 – Hive
- Lab 5a Practice HiveQL
- Lab 5b Working with Hive
Module 6 – Tableau
- Lab 6 Practice Tableau
Module 7 – R Programming
- Lab 7 – R Programming
Module 8 – Hbase Basic
- Lab 8 – Hbase Lab
Module 9 – Apache Spark SQL
- Lab 9– Spark Lab
Module 10 – Best PracticesModule 11 – ProjectModule 12 – Interview Prep