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Career & Jobs in Big Data Science Zero 2 Hero A-Z New York
Rating: 3.9 out of 5(139 ratings)
9,907 students

Career & Jobs in Big Data Science Zero 2 Hero A-Z New York

Understand Data Science Career and Jobs. Get introduced to Data Science course, career and salaries.
Created byShivgan Joshi
Last updated 1/2019
English

What you'll learn

  • Learn about the field of Data Science and Machine Learning
  • Salaries and Jobs in Data Science in New York

Course content

6 sections13 lectures1h 15m total length
  • Content of the Course0:07
  • FAQ - Summary of the course18:12
  • Data Science Career Overview0:29

Requirements

  • Non Technical Audience interested in learning about Data Science

Description

About the course:

  • Data Science Jobs and Salaries. Made for non technical and beginners wanting to move into Data Science.

  • Made from experience and inputs gathered from meetups and classes in New York, NY. Course introduces Data Science, vocabularies, salaries, job roles, course content, career strategy.

  • How to get the best salary from your data science courses? Which skills are most in demand?

  • Learn about the new jobs created in data science, big data, machine learning and data analytics.


Data science courses teach an interdisciplinary field focused on extracting knowledge and insights from data. Learn data manipulation, statistical analysis, and machine learning to unlock insights and enhance decision-making and predictive abilities applicable to various fields.


Updates:

  1. Course was revised with 2024 to have the jobs ideas and other updates

  2. With the tech recession it is very important to get the correct skills and understand the market

  3. It is not just about skills it is how you approach your job search


Make yourself ready for recession or any upheavel.

Most of times people study, learn, give quiz but do not understand the market, resume making, job application, ATS and differnt fields.

Tune your strategy for the career and jobs you are looking for.


Who this course is for:

  • Non Technical and Beginners who want to study Data Science