Data Science | Advanced Certificate course in

Data Science, If we talk about data science is the field of study that integrates domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. So, Data Science is a relatively new field in the field of technology. That is changing the world of technology and in our daily life, we use data science in many different ways. 


We use it in our daily life to help us in our work, in our business, in our profession, in our field, and so on. It is everywhere and is the most important thing for us to survive in this technical world. 


Nowadays the need for experienced, knowledgeable, certified data scientists has grown recently. As a result, the number of people taking data science courses has improved incredibly. Data scientists are now some of the highest-paid professionals. The meaning of data science is the comprehensive examination of the methods used to extract large amounts of data to discern duplicative patterns. This aids in the organization and control of all the variable aspects of an organization, such as costs, competition, and the market. Data science is answerable for studying the source of information, what it represents, and how it can be used beneficially in any project. 


You should also do a data science course because, with the rapid development of modern technology, data science is currently in high demand and will continue to grow. Through this course, you will get good knowledge and skill so you will be dominated by the number of job opportunities in this field. For more details, visit our site: https://www.talentserve.org/dataScience


   COURSE CONTENT


  • Introduction to Python

  • Basic Steps

  • NUMPY

  • Data Visualization

  • Pandas

  • Exceptions and Errors

  • Introduction to Artificial Intelligence and Machine Learning

  • Data Wrangling and Manipulation

  • Supervised Learning

  • Supervised Learning-Classification

  • Unsupervised learning

  • Machine Learning Pipeline Building

  • Decision Tree Analysis and Ensemble Learning

  • AI and Deep learning introduction

  • Artificial Neural Network

  • Deep Neural Network & Tools

  • Deep Neural Net optimization, tuning, interpretability

  • Convolutional Neural Net

  • Recurrent Neural Networks

  • Overfit and underfit

  • Transfer Learning

  • Working with Generative Adversarial Networks

  • Pytorch

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