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Data Analyst Training

Live Online & Classroom Enterprise Training

This course for Data Analyst focuses on Impala and R - two most widely used frameworks by the analysts. Impala is SQL on Big data so our course tell you how to create an execute SQL queries on Big Data using Impala. R is another superb tool for data visualisations so our course teaches you basic graph plotting in R as well as advance topics like data segmentation, forecasting and optimising R code.

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What is Data Analyst Training about?

This course is designed for big data profession who know about hadoop platform and want to perform analytics using SQL and R-programming language.

What are the objectives of Data Analyst Training ?

What are the prerequisites for Data Analyst Training?

Basic knowledge of Hadoop, SQL or Statistical modeling

Available Training Modes

Live Online Training

Course Outline Expand All

Expand All

  • Introduction to Impala
  • What is Impala?
  • How Impala Differs from Hive and Pig
  • How Impala Differs from Relational Databases
  • Limitations and Future Directions
  • Using the Impala Shell
  • Analyzing Data with Impala
  • Basic Syntax
  • Data Types
  • Filtering, Sorting, and Limiting Results
  • Joining and Grouping Data
  • Improving Impala Performance
  • Hands-On Exercise: Interactive Analysis with Impala Choosing the Best Tool for the Job
  • Why R? Reasons for Using R in Business Analytics.
  • R Infrastructure: Setting up Your R Analytical Infrastructure
  • R Interfaces: Ways to Use Your R Analytics Based on Your Needs.
  • Manipulating Data: Obtaining Your Data within R
  • Exploring Data - The Booming Business in Data Visualization
  • Building Regression Models
  • Data Mining Using R
  • Forecasting and Time Series
  • Data Export and Output
  • Optimizing R Coding
  • Case Studies Using R
  • Web analytics

Who is the instructor for this training?

The trainer for this Data Analyst Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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