Advanced Program in Data Visualization

Visualize data using pandas, matplotlib, and seaborn libraries for data analysis and data science.

Data Visualization helps businesses to get meaningful insights. It allows them to understand various strategies very clearly. It converts a large amount of data or information into smaller visuals which saves time and provides a brief report that is easy to understand.

It allows them to have a crisp report of what is required and what is done. Many technical works need data representation. Data Science sometimes requires data representation, and this can be achieved using Python. A large quantity of information and data can be analyzed with Data Visualization using Python.

Training Key Features

• 80 hours of live instructor-led training
• 3 industry-based projects, 3 assignments
• 24/7 support and LMS Access
• Hands-on experience with latest tools & applied projects
• Live engagement classes by seasoned academics and professionals
• Flexible timing for working professionals
• EMI option

Skills Covered

• Word2vec
• Machine Translation
• Sentiment Analysis
• Transformers
• Attention Models
• Word Embeddings
• Locality-Sensitive Hashing
• Vector Space Models
• Parts-Of-Speech Tagging
• N-Gram Language Models

Eligibility
There are no specific eligibility criteria for admission to the data visualization program. That being said, there are some specific skill sets that will help the student to learn the course better like basic maths skills, a desire to learn and basic spreadsheet knowledge.

Prerequisites
It is better to be familiar with databases, operations, and various features for learning Python Data Visualization. It is also crucial that you are good at Python programming and have an idea of what data visualization is.