Surely Yes! Soon after completion of the course, Job Basket which is an integral part of Training Basket offers its placement assistance services to the student that includes personality grooming, interview preparation, and professional resume building. According to the performance of the student, we even refer our students to different tech organizations. Also we run a social Instagram channel Job Basket where we post regular jobs.

We understand that every person may have a different time schedule. Thus, you have the freedom to decide the suitable batch timing.

Data science is a multidisciplinary field that uses modern tools and techniques to analyze large amounts of data and extract meaningful insights such as Data collection, Data analysis, Data visualization, Problem solving.
If you want to learn more about Data Science, please Read our Blogs here: Data Science Blog.

Data analytics is the process of analyzing data to extract insights and make conclusions. 
It's a multidisciplinary field that uses a variety of techniques, including math, statistics, and computer science. 
Data analytics can help businesses optimize performance, make more informed decisions, and maximize profit.
If you want to learn more about Data Analytics, please Read our Blogs here: Data Analytics Blog.

Data engineering is creating and building systems to gather, store, and process large amounts of data. 
The main goal is to make this data easy for data scientists and analysts to use, so they can study it and find valuable insights. 
Data engineers make sure the data is complete, clean, and easy to access, so users can retrieve it without trouble. 
This field is broad and used across many industries. It’s essential because, without data engineering, making sense of the huge amounts of data that businesses gather would be very hard.

Machine Learning is a kind of artificial intelligence that can analyze data on its own without needing specific instructions. It can handle large amounts of past data, find patterns, and make predictions about new connections between data that weren’t known before.