• Rakesh Kumar
• Mukesh Kumar
• Ruchi Patira

Data science is a rapidly growing field and has become essential in many industries. As data availability increases, the need for advanced data analysis techniques and tools becomes increasingly important. This paper provides an overview of data science techniques and tools that are widely used in the industry. It also explores real-world data science applications in various fields such as healthcare, finance, marketing, and social media. The paper begins with an introduction to data science and its importance in modern society. Then, the essential principles and techniques of data science, such as data cleaning, exploratory data analysis, statistical inference, machine learning, and deep learning. Overall, this review paper gives a complete overview of data science methodologies, tools, and applications, making it an invaluable resource for researchers and practitioners.

Data Science, Machine Learning, Deep Learning, Data Visualization.

"A SURVEY OF DATA SCIENCE TECHNIQUES, TOOLS, AND REAL-WORLD APPLICATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.f177-f180, February-2024, Available :http://www.jetir.org/papers/JETIR2402521.pdf

"A SURVEY OF DATA SCIENCE TECHNIQUES, TOOLS, AND REAL-WORLD APPLICATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppf177-f180, February-2024, Available at : http://www.jetir.org/papers/JETIR2402521.pdf