Advance Certificate Course In Data Science Course

The Data Science course is designed to provide students with the skills and knowledge they need to pursue a career in data science. The course covers a wide range of topics, from data mining and machine learning to data visualization and analytics. Students will learn how to use powerful tools and technologies to collect, analyze, and interpret data, as well as how to effectively communicate their findings. The course also emphasizes the importance of critical thinking and problem-solving in data science, and provides students with plenty of opportunities to put these skills into practice. By the end of the course, students will have a strong foundation in data science principles and be well-prepared to pursue a career in this exciting field. 


The Data Science course at our institute is carefully designed to give you an in-depth understanding of the most in-demand Data Science and Machine Learning skills. The course begins with a brief introduction to these concepts and then delves deeper into topics such as Python, R, Tableau, and machine learning principles. Throughout the duration of the course, you will get ample opportunity to put these skills into practice through hands-on projects. By the end of the course, you will be well-versed in all the key data science concepts and equipped with the skills needed to start a successful career in data science. 

The data analysis module covers topics like exploratory data analysis, statistical inference, and predictive modeling. The data visualization module covers topics like creating charts and visualizations, using color effectively, and creating infographics. The machine learning module covers topics like supervised learning, unsupervised learning, and deep learning. After completing the four modules, you will have a solid foundation in data science that you can immediately put to use in your work or studies.So if you're thinking of pursuing a career in data science, then join our course 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

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