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After completing a Bachelor's degree, a Certificate or a Diploma course from an institute, one can join any hotel as an intern. One can also opt for an apprenticeship in the hotel after graduating from class 12. A trained chef will find many opportunities in hotels and restaurants. LPU School of Hotel Management and Tourism is among India's best Hotel Management and Tourism colleges that groom students through industry-endorsed curriculum and intensive service-oriented practicals with industry exposure in excellent infrastructure. The school provides students with simulation labs, aviation labs, restaurant training labs, basic and advanced training kitchen labs that expose the students to real-life situations and environments. Apart from semester-long industry internships, students also visit landmark tourist destinations and hotels to relate theory with industry practices. The School of Hotel Management (LPU) has five modern kitchens with two bakeries. All kitchens and bakeries are equipped to enable students to perform scientifically and to attain their best of learning through the most modern gazettes. There is four training restaurant to teach a student about the authentic serving style of food and beverage. Infrastructure also includes one front office laboratory, two housekeeping laboratories, two computer laboratories with 60 computers, and a simulation laboratory for aviation. Industry internships in top national and international five-star hotel brands like Leela Palace and Resorts, ITC, Taj, Oberoi, Hyatt, Marriott, Hilton, Renaissance & Marriott (Malaysia ), Taj Tashi & Le Meridien Thimphu (Bhutan), Westin Turtle Bay Resort (Mauritius ), Taj Exotica (Maldives), Shangri-la (Thailand), Marriott & Hyatt (USA), Michelin Star Restaurant (L Auber Grade Trama) France, etc. If I talk about placements, the companies that visit LPU are Accor Group of Hotels, ITC Maratha, AISATS (airport Management), Oberoi, St. Regis, Shangri-la, Thomas Cook, Travel Triangle Radisson chain of hotels, etc. And Students of LPU School of Hotel Management and Tourism created the longest salad bar measuring 311.2 meters, made up of 7 different types of vegetables and weighing 1259 Kg. The FEAT was on display at Baldev Raj Mittal Unipolis. LPU School of Hotel Management organized a Mocktail Competition to let the students create some new thirst quenchers. Students created artful concoctions and presented them with great verve and flair.

Business Analysis vs Data Science Difference #1: Definition
Put simply, the overarching goal of a business analyst is to help grow a business in a given market under certain conditions. They have a direct influence on critical financial decisions made in the company. They use data to create and change policies, improve productivity and stabilise systems. A data scientist, on the other hand, is responsible for collecting, processing and reporting findings from a massive data dump. Data scientists convert raw data into structured, meaningful silos which are then used to generate reports on trends or make forecasts. Business Analysis vs Data Science Difference #2: Analysis
A business analyst perceives data, insights and requirements from the perspective of the business and its overall operational systems. A data scientist observes and visualises the relationship between data in a database. While data analysts derive insights from data dumps, business analysts take what is needed to make the business function better and meet certain milestones. Both problem-solving roles are highly data-focused; the difference is that they enter at different stages of the operation and manipulate data to different goals. Business Analysis vs Data Science #3: Outlook
Business analysts are strictly organisation-centric, though their policies might have a national or global impact. They deal with strategies, alliances and networks a lot more than data scientists. The latter is more likely to be mathematicians and statisticians in their outlook, sifting through data to find salient patterns and outliers. Whether a finding is of significance to the business or not, is up to the business analyst. That said, the business analyst heavily relies on data scientists to collect and segregate data they can work with.