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Data Science is the leading cloud platform that powers countless applications and services. This course will get you started with Data Science Training .
One platform for all your learning needs
Preparatory Session - Python and Linux
Data Wrangling with SQL
Python with DataScience
Linear Algebra and Advanced Statistics
Machine Learning
Course Certificate
The certificate will be issued upon completion of each topic.
Year-On-Year Growth in Job Postings
In today’s industries, Data Science professionals are in high demand, valued for their exceptional ability to manage and secure digital identities, streamline access control, and ensure compliance with regulatory standards.
Our industry experts are here to answer your questions and help you make a more informed decision about your career path.
Most Innovative Online Education Platform 2023 - South India in Education and Training Awards by Corporate Vision.
Most Innovative Online Education Platform 2023 - South India in Education and Training Awards by Corporate Vision.
Most Innovative Online Education Platform 2023 - South India in Education and Training Awards by Corporate Vision.
Most Innovative Online Education Platform 2023 - South India in Education and Training Awards by Corporate Vision.
Data Science is a multidisciplinary field that combines statistical analysis, programming, and domain knowledge to extract insights and knowledge from structured and unstructured data. It involves techniques such as data mining, machine learning, and data visualization to make data-driven decisions.
A Data Science course is ideal for professionals in IT, engineering, mathematics, or statistics who want to expand their skills in data analysis. It’s also suitable for individuals looking to transition into data-driven roles like data analyst, data scientist, or machine learning engineer.
Prerequisites for a Data Science course typically include a basic understanding of programming (especially Python or R), statistics, and mathematics. Familiarity with databases and data structures can also be beneficial.
The duration of a Data Science course can vary based on the depth of the content and the learning format. It can range from a few months for an introductory course to a year or more for a comprehensive program, including advanced topics and hands-on projects.
Yes, Data Science courses typically include hands-on practice through projects, case studies, and real-world datasets. This practical experience is crucial for developing the skills needed to analyze data and build predictive models.
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