4.8 Rating (best institute to learn data science course)
Master the most in-demand skills in the field of Data Science with WhiteScholars Academy — Hyderabad's top training institute for data science courses.
Launch Your Data Science Career with WhiteScholars and explore expert-led courses designed to equip you with in-demand skills in data analytics, machine learning, and artificial intelligence. Become a certified data scientist in 6 months with dual certification.
Build a strong foundation in data science principles.
Master Data Science courses: Python, SQL, ML, Power BI, Tableau, Gen AI, Statistics, & Large Language Model.
A dedicated placement cell for the participants who completed the course along with career counselling services
2 capstones and 4 hands-on projects from various industry domains
Earn a professional certificate in data science and become a job-ready candidate during the course tenure and get tips to prepare for job interviews along with resume-building advice.
The global data science platform market size was valued at USD 103.93 billion in 2023 and is projected to grow from USD 133.12 billion in 2024 to USD 776.86 billion by 2032, exhibiting a CAGR of 24.7%.
Source: Analytixlabs
Source: Fortune business insights
The Data Science Program is designed to meet the needs of a wide range of learners, whether you’re just starting out or looking to take your career to the next level. It’s perfect for individuals from various backgrounds who share a passion for working with data and solving real-world problems using analytical approaches.
Python
PowerBI
Tableau
Generative AI
Machine Learning
MySQL
Statistics
Large Language Model
Developing a restaurant recommendation system like Swiggy using data science techniques involves creating an intelligent platform that personalizes dining choices for users. This system utilizes data science models such as collaborative filtering, content-based filtering, and machine learning algorithms to analyze user preferences, browsing history, location, and restaurant attributes (cuisine, ratings, price range). The front-end presents recommendations in an intuitive interface, while the back-end processes vast amounts of user and restaurant data in real-time. By leveraging techniques like natural language processing (NLP) for reviews and sentiment analysis, the system can provide personalized, accurate restaurant suggestions, enhancing the user experience with tailored food recommendations.
Sr Data Science Career Counsellor
13 years of experience
Data Science Career Counsellor
8+ years of experience
Data Science Trainer
10+ years of experience
Step-by-Step Mastery: From Basics To Internship
Bapiraju Dhumantharao2024-12-10 I strongly recommend this academy for all your future careers. I strongly recommend the Digital Marketing course. Vivek Khandelwal2024-11-30 I have taken full stack development course here . My journey has been very good so far . The mentors are really helpful and the recorded sessions are add ons here . Thank you whitescholars Sathya Raj Gandhodi2024-11-27 The best institute for Full Stack Development course with excellent faculty, realtime projects, placement assistance and ofcourse with in affordable Price. Much recommended and Highly Appreciated. Thank you #TeamWhiteScholars. Abhilash rao Oruganti2024-11-25 Had a smooth journey with white scholars with a good career opportunity... Kishan lal2024-11-25 I came here after a long career gap of 7 years. I was confused as to how to get back to the job market andrestart my career. I met Rohita here who guided me to take up digital marketing course .I have lesrned a lot and have gained confidence also . The detailed course have given me real life skills to be job ready.now I have recently got a job too ....this is my best decision ever to choose this institute.
Quick answers to questions you may have. Make an informed decision before embarking on your learning journey.
Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data.