Best Data Science course in Delhi HTS institute

neeti08kumari 15 views 3 slides May 08, 2024
Slide 1
Slide 1 of 3
Slide 1
1
Slide 2
2
Slide 3
3

About This Presentation

Embarking on a data science course involves delving into a comprehensive curriculum that covers fundamental theories, advanced techniques, and practical applications. It's not just about learning the theories; practical application plays a pivotal role in mastering this field. The course encompa...


Slide Content

Best Data Science Course in Delhi

What is Data Science Data science is a multidisciplinary field that combines statistical analysis, machine learning, programming, domain expertise, and data visualization to extract meaningful insights and knowledge from structured and unstructured data. It involves the use of various tools and techniques to gather, process, clean, analyze, and interpret data to solve complex problems and make informed decisions. Data scientists use their skills in mathematics, statistics, and computer science to work with large volumes of data from different sources such as databases, social media, sensors , and more. They apply algorithms and models to uncover patterns, trends, correlations, and other valuable information that can help businesses, organizations, and industries improve processes, develop new products, enhance customer experiences , and optimize strategies.

Key components of data science Data Collection Gathering data from various sources such as databases, APIs, web scraping, and IoT devices . Data Cleaning and Preprocessing : Removing noise, handling missing values, transforming data into a usable format, and preparing it for analysis. Exploratory Data Analysis ( EDA): Understanding the structure of the data, identifying patterns, correlations, and outliers through statistical and visual methods. Statistical Analysis Applying statistical techniques to validate hypotheses , conduct significance tests, and derive insights from the data. Machine Learning: Using algorithms and models to build predictive and prescriptive analytics solutions, classification, regression, clustering, and recommendation systems. Data Visualization: Creating visual representations such as charts, graphs, and dashboards to communicate findings and insights effectively. https://www.htsindia.com/seo-training-course-delhi.php To Know More Visit :-