🔴 CUET-PG | Data Science |Practice Test - 10|👇

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✅ CUET PG Data Science Study notes

🔖 Exception handling in Python

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✅ One word substitution ✅
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▫️ Introvert one who does not express himself freely (Ant.–Extrovert)

▫️ Insolvent a person who is unable to pay his debts (Syn.–Bankrupt)

▫️ Itinerant one who journeys from place to place (Nomadic)

▫️ Invincible one too strong to be defeated (Ant.–Vincible)

▫️ Invulnerable one that cannot be harmed/wounded (Ant.–Vulnerable)

▫️ Libertine a person who leads an immoral life (Syn.–Lecher)

▫️ Martyr one who dies for a noble cause

▫️ Mercenary one who does something for the sake of money (bad sense)

▫️ Misanthrope one who hates mankind (Ant.–Philanthropist)

▫️Misogamist one who hates the institution of marriage

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✅ Career Opportunity for Data Science

Data Science is a rapidly growing field with a variety of career opportunities.
Here are some career options for data scientists:

Data Analyst: Data analysts help organizations make informed business decisions by collecting and analyzing data. They use statistical and analytical methods to identify trends and patterns in large datasets.

Data Scientist: Data scientists use machine learning and other advanced analytical techniques to identify patterns and trends in data. They develop algorithms and models to make predictions and optimize business processes.

Machine Learning Engineer: Machine learning engineers design and develop algorithms and models for machine learning systems. They work closely with data scientists to build and deploy these systems in production.

Business Intelligence Analyst: Business intelligence analysts help organizations make data-driven decisions by creating reports, dashboards, and visualizations that summarize complex data sets.

Data Engineer: Data engineers are responsible for designing and building the infrastructure and architecture needed to store, process, and analyze large amounts of data.

AI Researcher: AI researchers work on developing new AI technologies and improving existing ones. They work on cutting-edge technologies such as natural language processing, computer vision, and robotics.

Data Architect: Data architects design and build the data infrastructure that organizations need to store, process, and analyze large amounts of data. They work with data engineers and data scientists to create a data strategy that meets the organization's needs.

These are just a few examples of the many career opportunities available in data science. As the field continues to evolve, new roles are likely to emerge, offering even more opportunities for those with a passion for data and analytics.

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CUET(PG) Data Science Study Notes 🔖

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