Data Science

Last Updated: 31 03 2025

Data science is going to bring revolution in the industry routes by adopting data-based decisions. Data Science Training You can get a career in data science with the help of professionals, which is one of the most trending areas to work. This data is designed for both beginners and giants, which is a progressive way to learn it well with hand on experience.  

Providing fundamental mixtures for advanced concepts, this broader course includes data manipulation, statistical analysis, machine learning and intensive learning. You will gain knowledge related to data visualization techniques to communicate insight. We also train you to understand the nuances of data interpretation, so that you can make meaningful conclusions from complex data sets.  

This data science course facilitates the hands-on experience on projects and case studies by industry experts. This training will give Learners a firm understanding of primary equipment and technologies that are commonly employed by data scientists, including python, R, SQL and Cloud-based data solutions.  

At the end of this course, learners will be prepared for certification examinations and will be considered a data science specialist in this exciting field to increase their credibility and possibilities. Sign up now with SSDN Technologies, the Best IT Training Company, to become a data science specialist and raise your career in this thriving field. 

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Learning Options for You

  • Live Training (Duration : 32 Hours)
  • Per Participant

Fee: OnRequest

09:00 - 13:00 (IST)

(4 Hours/Day)

09:00 - 17:00 (IST)

(8 Hours/Day)

Course Prerequisites

Basic programming knowledge (preferably Python) and a fundamental understanding of mathematics, including linear algebra, probability, and statistics, will be helpful. Prior exposure to data handling is beneficial but not mandatory, as concepts will be taught from the basics.
 

Learning Objectives

  • Python for data science, data wrangling, and visualization
  • Machine learning algorithms and evaluation techniques
  • Deep learning with CNNs and RNNs
  • NLP for text analytics and sentiment analysis
  • Feature engineering, model optimization, and deployment
     

Target Audience

This course is designed for aspiring data scientists, software developers, AI enthusiasts, analysts, and students looking to build a career in data science. Professionals seeking to transition into AI and ML-based roles will benefit from this structured, hands-on approach to learning advanced data science concepts.
 

*Excluding VAT and GST

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