Advanced Certificate Course In Data Science With Placement

Data science is the process of extracting valuable insights from this data. Data science has become one of the most in-demand skills in recent years, as businesses increasingly rely on data to make decisions. A data scientist is someone who knows how to collect, analyze and interpret large amounts of data. They use their skills to find trends and patterns and to make predictions about future events.

Data science is a relatively new field, and it is constantly evolving. As such, there is no one-size-fits-all definition of what a data scientist does. However, there are some core skills that all data scientists should possess. These include: Strong analytical skills: Data scientists need to be able to analyze large amounts of data quickly and accurately. They must also be able to identify patterns and trends and make predictions about future events. 


Programming skills: Data scientists must be proficient in at least one programming language. Popular choices include Python, R, and Java. Machine learning: Machine learning is a branch of artificial intelligence (AI) that allows computers to learn from data without being explicitly programmed. This is an important skill for data scientists, as it allows them to build models that can automatically improve over time. Communication: Data scientists need to be able to communicate their findings clearly to non-technical audiences. For more details, you can check our site:
https://www.talentserve.org/course-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

Comments

Popular posts from this blog

Advance Certificate Course In Full Stack Development

Best Digital Marketing Course In Mumbai

Advanced Certificate Course In Product Management