pg-diploma-data-engineering

Course Details

PG Diploma Data Engineering is one of the most in-demand career options in today’s world. Data Engineering is the process of turning unprocessed data into useful knowledge.

With the introduction and accessibility of data in our daily lives, it is a crucial procedure for businesses that wish to make data-driven decisions, and its significance is growing.

Course Curriculum

  • Basic of Excel
  • Visualization in Excel
  • Data Analysis in Excel
  • Formula, Loops
  • What is Statistics
  • Types of Statistics
  • Graph
  • Charts
  • Distribution
  • Standard Deviation
  • Variance
  • Measure of Dispersion
  • Sampling Probability Theorems
  • Type of Probability
  • Distribution
  • Z score
  • Hypotheses Testing
  • Central Limit Thermos
  • Types of Hypothesis Testing
  • Types of errors in Hypotheses Testing
  • Install My SQL Work Bench
  • Introduction to SQL
  • Basic to SQL
  • Basic command in SQL
  • SQL Data Base
  • SQL references
  • Data Base Examples
  • Introduction to Data Management
  • Introduction to API – Hands on
  • Introduction to BIG Data
  • Framework of Big Data
  • Data Structure and Algorithm
  • Introduction to Distributed and Parlel Computing in Big Data
  • Introduction to Hadoop
  • Hadoop Framework
  • Basis and Advance HDFS Concepts
  • Introduction and handson map reduce
  • Advance concepts in SPARK AND SCALA
  • Introduction to Relational and Non relational data bases
  • Introduction to Apach Cassandra and No SQL
  • Data Management in Relational Data Bases
  • Hands on No Sql
  • Introduction and Hands on Mongo DB

Big Data Analytics Project using:

  • MAP REDUCE
  • SPARK
  • SCALA
  • HIVE
  • H- Base
  • YARN
  • APECHE AMBARI
  • KAFKA
  • NO Sql
  • Mogo DB
  • Advance Cloud Data Ware Houses
  • Advance ETL using HIVE and other tools
  • Building an Data Lake – Hands on Project
  • Building Data Lake using SPRAK
  • Data Injection using SCOOP
  • KAFKA
  • NO Sql
  • Mogo DB

Advance Cloud Data Ware Houses
Advance ETL using HIVE and other tools
Building an Data Lake – Hands on Project
Building Data Lake using SPRAK
Data Injection using SCOOP

Course Criteria

    • Eligibility: 12+/Graduate
    • Total Duration: 270 Hours
    • Job Assurence : 100% Job Assurance
    • Certified By : ICA EDU Skills, NSDC

Courses Highlights

    • Microsoft Excel
    • Statistics
    • SQL ( Database Management System )
    • Basis of Programing and API
    • Big Data
    • Big Data Management
    • Big Data Analytics Project
    • Cloud Data Where Housing and Data Lake 1
    • Cloud Data Where Housing and Data Lake 2

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Frequently Asked Questions


To join the Data Science course by ICA Edu Skills, you must have completed your graduation from a renowned university. 
The individual must: 
  • Have completed their graduation from any domain.
  • ICA has placements in more than 30 cities spanning across India. We will try to place the candidates nearest to their hometown. However, if there are no vacancies during that certain period, we shall provide placement opportunities in other cities. 
  • Students must be able to clear all the assessments post completion of every such module with an examination at the end. 
Data Science is forecasted to become a 77 billion dollar industry by 2023. Honing in-demand skills such as this can help in landing a lucrative package. 
A data scientist can learn up to Rs. 4 Lakhs and with experience, this salary will keep increasing. 
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