DATA SCIENCE WITH MACHINE LEARNING AND PYTHON INTERNSHIP PROGRAM JUNE 2023

TCR INNOVATION

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TCR INNOVATION

tcrinnovation@tcrinnovation.co.in

  • Home
  • About Us
  • Events
  • Career
    • Part time / Internship
    • JOB REFERRAL
  • Internship Programs
    • Software Development
    • Web Development
    • Artificial Intelligence
    • Automation
    • Ethical Hacking
    • Marketing
    • Our Alumni
  • Blogs
  • Contact Us
  • Shop
  • ONLINELMS
  • Internship Feedback
  • Guest Lecture Series

DATA ENGINEERING



Our Online Data Engineering Program contains the perfect mix of theory, case studies, and extensive hands-on assignments to even turn a beginner into a pro by the end. Our Data Engineering Internship Program is perfect for students and working professionals to get mentored directly by industry experts, build your practical knowledge, receive complete career coaching, and become a certified engineer. 


Get all the knowledge and skills to dive deep into the Data to discover and unlock data insights, we will provide all the means to unlock your potential.

ENROLL NOW

syllabus

  • Introduction to Data Engineering
  •  Different Products of Power BI 
  •  Python Projects Assignments
  •  Power Query - Introduction 
  •  Import data into Power Query 
  • Assignments 


  • Python for Data Engineering
  • RDBMS
  •  Projects 
  • Assignments  


  • NOSQL
  • Big Data Engineering
  • Assignment
  • Quiz 


  • Internship Project 1 - 2 
  • Internship Project 3 - 4
  • Report Writing 
  • GitHub
  • Technical Interview Questions
  • Quiz 2
  • Assignment
  • Quiz 3 


  •  Resume Building
  •  Technical Mock Interview
  •  LinkedIn
  •  HR Mock Interview
  •  Task Submission 


TOPICS TO BE COVERED

 DOWNLOAD THE FULL BROCHURE BELOW

 Data engineering is the practice of designing and building systems for collecting, storing, and analyzing data at scale. 


  • Apache Hadoop 
  • Relational and non-relational databases
  • Apache Spark
  • Python
  • Julia    


Hadoop is an open-source framework, which is used for data manipulation and data storage, as well as for running applications on units called clusters. Hadoop has been the gold standard of the day when it comes to working with and handling Big Data.

The main advantage is the easy provision of the huge amounts of space needed for data storage and a vast amount of processing power to handle limitless jobs and tasks concurrently.


Data Engineers maintain the data infrastructure to support business applications. As part of their responsibilities, they fuel Artificial Intelligence analytics and the Machine Learning process.

Various positions held by a Data Engineer are listed below:

  • Data Architect 
  • Data Engineers 
  • Database Administrators 


 The data engineer is someone who develops, constructs, tests and maintains architectures, such as databases and large-scale processing systems. The data scientist, on the other hand, is someone who cleans, massages, and organizes (big) data. 


Download brochure

Files coming soon.

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