PG Program in Data Science | PG Diploma in Data Science | PG Certification in Data Science


Fundamentals of Programming
Data analysis
and visualization
Foundations of natural language processing
Machine Learning
Data Mining Unsupervised learning
Neural networks
Computer Vision Deep Learning
Deep Learning Real-world case study
Matplot Lib
Statistical Analysis
Linear Regression
Data Mining
Data Collection
Applications of machine learning
data processing
Different Regression
Deep Learning

Who You Can Become?

Data Scientist
Data Science Trainers
Mid-Level Data Specialist
Data Analyst
Business Analyst

Other Services

Internship Industrial-Visit Tech-Talks Management-Talks

Post Graduate Program In Data Science Fullstack(Machine Learning + Artificial Intelligence)

Course Duration: Mandatory 360 Hrs of training sessions with live projects to practice. Hours are inclusive of training sessions and hands-on project participation.
Curriculum Delivery: Online Training, Onsite Training, Virtual Training, Corporate Training
Timings & Schedules: Both on Weekdays / Weekends
Extras: Mock Tests, Interview Questions & Answers will be covered along with the course
LAB Facility: Our training courses are designed to provide an optimal learning environment. For students to learn to code or access our Cloud platform, we have a well-equipped lab facility with simulation tools and powerful processors that can run complex simulations and display scenes. Qualified lab tutors can provide students with the most up-to-date technologies and are experts in their field. In order to give our interns the finest training environment for learning different coding and software development skills, we also offer internships in this facility.
Course Contents: Fundamentals of Programming, Data analysis, and visualization, Foundations of natural language processing, Machine Learning, Data Mining Unsupervised learning, Neural networks, Computer Vision Deep Learning, Deep Learning Real-world case study, Python, Pandas, Matplot Lib, Statistical Analysis, Linear Regression, Data Mining, Data Collection, Applications of machine learning, data processing, Different Regression, Classification, Clustering, Deep Learning

Certification: JAIN University, Bangalore

About The Course

A postgraduate program is an undergraduate degree level course in college or university and is pursuing continuing studies at a higher level with more focus on practical skills than coursework. Candidates could gain valuable skills and experience while they advance their careers with less time period or hours to achieve a PG Diploma Certification in a shorter term. ATEES Industrial Training provides a PG Diploma Software Engineering course with university certification in a shorter duration than a master's degree. From degree programs to certificate programs, we have a program that will help you grow in your field of study.

To alter the environment around you, explore and visualise data like a scientist. Data scientists use cutting-edge techniques and technologies to glean knowledge and insights from data in this young and developing area. Professionals in data science must be diverse, which means they must have knowledge of a variety of subjects, including computer programming, statistics, and machine learning. By delivering insights through data analysis that might result in better business decisions and more informed marketing tactics, data scientists contribute to the improvement of enterprises. ATEES Industrial offers PG Program in Data Science that any graduate in Mathematic or professional could enroll in and use the cutting-edge technical methods in your developing environment.

In PG Diploma in Data Science course our instructors at ATEES Industrial Training will focus on the Machine Learning + Artificial Intelligence course since it is crucial to the development of advanced software application paradigms for functional programming. For IT graduates and IT professionals who want to advance or advance their careers in Data Science development applications, the Data Science with Machine Learning + Artificial Intelligence course is beneficial. Candidates who pass the final test and the project would be given a free PG Certification in Data Science of completion of the course.

Who Can Join This Course?

→ Students in Computer or Mathematics and from EC, CSE & Statistics background

We Provide You With

→ Individual Attention
→ Career Guidance
→ Six Months Post Completion Internship
→ Live Project
→ Experience Certificate
→ Placement Assistance
→ Interview Assistance with Mock Interviews
→ University Approved Certification


  • Upon successfully passing the exam, JAIN University, Bangalore, awards the Certified Post Graduate certificate.
  • Course completion certificate from AIT awarded upon completing the training sessions.
  • Upon successful completion of the one-year internship, candidates will be awarded a one-year experience certificate.
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Course Features
Course Duration Mandatory 360 Hrs of training sessions with live projects to practice. Hours are inclusive of training sessions and hands-on project participation.
Assignments: 3 Live Projects 3 Live Projects are given to students based on task during the day. So student performance can be verified easily and regularly, there by deciding the changes to be executed.
Project: 3 IEEE Projects Providing assistance for 3 IEEE projects for B.tech & M.tech students. And project assistance for BSc, MSc, BBA, MBA students with study materials & lab facilities.
Lifetime Access Students can access project materials such as source code, presentations, data sheets for lifetime, before and after project completion.
24 x 7 Support Feel free to contact us 24 hours in a day and 7 days in a week to clarify your doubts and queries on demand before and after the course study.
Get Certified Ours is a multinational company and our certificates are valid worldwide, because of which certificates are awarded to the students strictly based on performance.
Experienced Trainers Well qualified trainers with vast experience in their respective field of study are always available to support the students and assist them in projects and courses.

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