CETPA Infotech offers data science with Julia training in Noida which will help you to
understand Julia's rich ecosystem and includes the essentials of data science, providing you
with a high-level summary of advanced statistics and methods. The benefits of Julia for data
science cannot be underestimated. Apart from speed and ease of use, there are already over
1,900 packages available and Julia can interface (either directly or with the help of packages)
with libraries written in Python, R, MATLAB, C, FORTAN, or C++
The Julia programming language and environment were designed in 2009. They are free from
various disadvantages that other solutions created for single-processor and low memory
machines have. Data science using Julia course in Noida is designed for those who seek the in-
depth data exploration. Even the basics of Julia language facilitate you to improve your skills on
your own thanks to the rich documentation. The great efficiency of this environment makes the
work with a huge set of data a pleasant and creative task.
Data science using Julia course in Delhi NCR is suitable for:
- Data analysts and budding data scientists who are new to Julia
- Those competent in Python and R and wish to adopt Julia to enhance their skills set in
Data Science
- Data Scientists, data analysts, engineers, programmers, and other professionals
- Free Lancers
Mode/Schedule of Training:
CETPA, The Best DATA SCIENCE USING JULIA Training Institute in Delhi NCR offers courses in following modes.
Delivery Mode
|
Location
|
Course Duration
|
Schedule (New Batch Starting)
|
Classroom Training
(Regular/ Weekend Batch)
|
*Noida/ Lucknow
*Dehradun /Roorkee
|
4/6/12/24 weeks
|
New Batch Wednesday/ Saturday
|
*Instructor -Led Online Training |
Online
|
40/60 Hours
|
Every Saturday or as per the need
|
*Virtual Online Training |
Online
|
40/60 Hours
|
24x7 Anytime
|
College Campus Training |
India or Abroad |
40/60 Hours |
As per Client’s need |
Corporate Training (Fly a Trainer) |
Training in India or Abroad |
As per need |
Customized Course Schedule |