Advance Certificate Course In Data Science | Learn, with TalentServe

Data Science is a relatively new field that is growing rapidly. It is the study of data, including the analysis, interpretation, and presentation of data. Data scientists use their skills to find hidden patterns and insights in data that can be used to make predictions or recommendations. There are many different types of Data Science courses available, but they all typically cover the same core topics. These include statistics, programming, machine learning, and data visualization. Some courses may also cover specific applications of Data Science, such as financial modeling or social media analytics. Most Data Science courses require some prior knowledge of programming and statistics. 

These courses will typically start with the basics of programming and statistics before moving on to more advanced topics. The skills you need to become a data scientist depend largely on the type of data you want to work with. If you are interested in working with large datasets, then you will need strong programming and database skills. If you want to focus on machine learning, then you will need experience with different types of algorithms. And if you want to work with smaller datasets or do more exploratory work, then strong statistical skills will be more important. 

There is no one-size-fits-all answer to whether or not you should join a Data Science course. Ultimately, it depends on your own interests and goals. The course covers a wide range of topics, from the basics of data mining and machine learning to more advanced topics such as deep learning and big data. The course is taught by experienced faculty who are experts in their respective fields. They use a hands-on approach to teaching, which allows students to gain practical experience with the methods and tools they are learning about. In addition, the course includes a number of guest lectures from industry experts, giving students an insight into the real-world applications of data science. And 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