LinkedIn Job Search Tutorial 2023 | Find Data Science Jobs | Data Engineer | Data Analyst | @SCALER

The resources to optimise LinkedIn for better use are endless, but only a few that cover the right pain points to optimise. Sumit Shukla, DSML Educator emphasises on areas you must focus on to leverage LinkedIn to find the best Data Jobs using it. Check out our FREE masterclasses by leading industry experts now: https://www.scaler.com/events?utm_source=Youtube&utm_medium=osocial&utm_campaign=brand_scaler_events_osocial_youtube_find-data-jobs-with-linkedin&utm_content=YTDescription

Check out this detailed tutorial to know how.

What is LinkedIn?
LinkedIn is a social networking platform designed for professionals. It allows users to create a professional profile, connect with colleagues and industry peers, and share work-related content. LinkedIn is used for job searching, recruiting, and networking, and has over 700 million members in more than 200 countries.

What is Data Science?
Data Science is an interdisciplinary field that involves the use of statistical, computational, and machine-learning techniques to extract insights and knowledge from large and complex data sets. It encompasses various stages of data analysis, including data collection, cleaning, processing, modelling, and visualisation.

Who is a Data Scientist?
A data scientist is a professional who uses scientific methods, algorithms, and statistical techniques to extract insights and knowledge from data. They apply these skills to solve complex problems, make informed decisions, and develop predictive models that drive business value.

Who is a Data Engineer?
A data engineer is one of the data specialists who exemplify the fusion of data science with software engineering. He is the one who works on the building and designing of systems for managing, collecting, storing, and analysing big data at scale.

Who are Data Professionals?
Data professionals are individuals who work with data to extract insights and knowledge that drive business value. This includes roles such as data analysts, data engineers, database administrators, business intelligence analysts, and data architects. They use various tools and techniques to collect, clean, analyse, and interpret data to help organisations make informed decisions and achieve their goals.

What is Computer Science?
Computer science is the study of computers and computational systems. It encompasses the design, development, and analysis of algorithms, programming languages, software, and hardware. Computer scientists solve complex problems, create new technologies, and drive innovation in fields such as artificial intelligence, cybersecurity, and robotics.

What is the Tech Industry?
The tech industry refers to the businesses and organisations involved in the development, design, manufacturing, and distribution of technology products and services, including computer hardware, software, telecommunications equipment, and e-commerce services. It is a rapidly growing and constantly evolving sector with a significant impact on the global economy.

Topics covered:
0:00 - Introduction
1:36 - Short story on how to acquire right skills at right time (Data Science)
2:22 - Content Creation is the next big thing
2:44 - How to create content?
5:16 - How to increase engagement?
7:48 - Growing your social media
9:25 - How to optimise your LinkedIn profile?
27:35 - How to get reach on LinkedIn

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