30 days Fast Track Data Science Interview Preparation

This course is designed for an individual trying to transition towards various data science careers in the industry. Keeping all the hurdles in mind that we generally face during your transition so that your journey will be smooth and without losing any opportunity, you will be able to transition in the industry. Discuss, Collaborate, Participate and Win the Race.

Start Date: 17th June 2021
Class Timings: Monday to Friday 8 PM IST to 11 PM IST
4.84 (31 Reviews)
Language: English

Course Overview

30 days Fast-Track data science interview Preparation modules are specially designed for a transition towards various roles in AI  as per our experience and feedback  taken from many students who have made a successful recent transition into this industry coming from various tech and non-tech backgrounds worldwide. We have considered all the things required to crack an interview in the product, service, and startup-based companies. Your dedication and zeal are required to be a part of this ecosystem and Mark a Dent.

What you'll learn
  • Profile Building
  • System Designing
  • Domain Understanding
  • Common Mistakes
  • Project Management
  • ML Interview Questions
  • DL Interview Questions
  • NLP Interview Questions
  • Stats Interview Questions
  • Python Interview Questions
  • Computer Vision Interview Questions
  • Mock Interview
Requirements
  • Basic Understanding of Python
  • Basic Understanding of ML
  • Basic Understanding of DL

Course Curriculum

Full Introduction of AI

Future of AI

Tech Stack in AI

How we work in Data Science Project?

Do's and Don'ts in your Resume

Public Profile Building 360 Degree

Common Mistakes while Making a transition in AI

Ways to get Hired

Different Roles in Data Science

System Designing

Project Overview 

Importance of Domain Understanding

  • Ask anything
  • Get suggestion and roadmap
  • How Project start in Industry?
  • Business Expectation
  • Data Sharing Agreement
  • Proof of Concept
  • Master Data Management
  • High Level Architecture Design
  • Low Level Architecture Design
  • Project Wireframe
  • Data Accusation
  • Code Level Architecture
  • Tech Identification
  • Team Building
  • Project Delivery Methodology
  • Project Timeline Calculation
  • Infrastructure Setup
  • Project Cost Estimation
  • Project Kickoff
  • Resume Template Selection
  • Tech Stack Involvement
  • Project Selection & Alignment as per your Experience
  • Project Details
  • Your Involvement in Project
  • Tech Stack for Project
  • Fine Tuning of your Resume
  • Proof Reading
  • LinkedIn & GitHub Update
  • Applying for Job
  • Resume Finalization based on Job Description
  • One to One Discussion with iNeuron Team
  • Why Architecture Discussion?
  • Supply chain
  • Finance
  • Banking
  • Automobile
  • Industrial Automation
  • Security and Safety
  • Surveillance
  • Logistics
  • HealthCare
  • Infra
  • Public Safety
  • Home Automation
  • Insurance
  • Customer relationship
  • Sales
  • Marketing
  • Agriculture
  • Robotics
  • Aviation
  • Transport
  • Drug Discovery
  • Tourism
  • Prosthetic
  • Warehouse
  • Aerospace
  • Cyber Security
  • Networking
  • Retail
  • Education
  • E-Commerce
  • Telecom
  • Oil and Gas
  • Manufacturing
  • HR
  • Operations
  • Sports
  • Media
  • 50 Interview Questions Day1
  • 50 Interview Questions Day2
  • 60 Interview Questions Day1
  • 60 Interview Questions Day2
  • 40 Interview Questions Day1
  • 40 Interview Questions Day2
  • 40 Interview Questions Day3
  • 40 Interview Questions Day4
  • 40 Interview Questions Day5
  • 40 Interview Questions Day6
  • 40 Interview Questions Day7
  • 40 Interview Questions Day1
  • 40 Interview Questions Day2
  • 40 Interview Questions Day3
  • 40 Interview Questions Day4
  • 40 Interview Questions Day5
  • 40 Interview Questions Day1
  • 40 Interview Questions Day2
  • 50 Interview Questions Day1
  • 50 Interview Questions Day2
  • Fact Check
  • All round Interview
  • Review
  • Feedback
  • Suggestions
  • Interaction with Ineuron Achievers of all Ages
  • Ask Anything
  • Expert Advice
  • Doubt Clarification
4.84 out of 5.0
1 Star 0.0%
2 Star 0.0%
3 Star 6.5%
4 Star 3.2%
5 Star 90.3%
Krish Naik & Sudhanshu kumar

Having 7+ years of experience in Big data, Data Science and Analytics with product architecture design and delivery. Worked in various product and service based Company. Having an experience of 5+ years in educating people and helping them to make a career transition.

Reviews

Saravanan M
August 11,2021
5.00

" Wonderful Course with Affordable Rate!!! Materials and the way they (Sudhansu, Krish & Team) explain the concepts, Q&A are awesome and easy to understand.. I highly recommend this course and Thank you iNeuron team. "

Akash Gupta
August 09,2021
5.00

" Just like ML and DL batch, this course was very useful. It\'s great for quick revision of complete ML, DL, NLP and CV concepts. "

Prithvi Raman
August 09,2021
5.00

" Thank you Sudhanshu and Krish for the amazing course. You guys are always rocking????. Looking forward to learn more from you guys. "

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