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Unlock the power of data with our comprehensive Data Science course, designed to equip you with the skills and knowledge to excel in the rapidly evolving field of data science. This course covers the essential concepts and techniques in Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP), providing a solid foundation for aspiring data scientists.
Learning Outcomes:
1. By the end of this course, you will be able to:
2. Understand and apply key data science concepts and techniques.
3. Build and evaluate machine learning models for various tasks.
4. Design and implement deep learning architectures for complex problems.
5. Utilize NLP methods to analyze and interpret textual data.
6. Develop end-to-end data science projects, from data collection to model deployment.
This course provides a comprehensive introduction to data science, including the use of programming languages (like Python or R), machine learning, statistical analysis, and data visualization. Students will learn how to work with large datasets, clean and preprocess data, and apply various algorithms to make data-driven decisions.
A Data Science course typically covers the principles, tools, and techniques needed to analyze, interpret, and present data. Here’s a summary of what such a course might include:
A call to evaluate training requirements and adjust course and delivery accordingly.
A call with the Certified Instructor to address specific queries and requirements.
Tailored curriculum to meet specific learning objectives and organizational needs.
Commencement of training sessions along with access to the Learning Management System.
Live training sessions conducted in real time to facilitate interactive learning experiences.
Interactive training featuring hands on exercises and specialized labs tailored to specific skillset
Access course materials conveniently through the Learning Management System.
Monitor student progress through comprehensive metrics and analytics.
Concluding the training with a gamified final quiz to engage learners and reinforce key concepts.
Participants provided with a verifiable Certificate of Completion upon successfully finishing the training.
Watch heartfelt testimonials from our students, sharing their firsthand experiences and
success stories about their transformative learning journeys at our institution.
If you are willing to start your career in SAP or if you are already an SAP professional and want to enhance your knowledge for better career growth , Then GTR Academy is one stop solution for all of us . As the mentor is extremely professional and has a wide experience in multiple MNCs , The depth knowledge and level of teaching.
If you are aspiring to build your career in SAP consulting, GTR Academy is the best platform. I like to thank GTR Academy and GTR Academy especially for the consistent guidance and motivation. I recommend you GTR Academy 100% to get trained and enhance your knowledge on different SAP modules.
GTR Academy is platform which not only gives us a knowledge but also provide a chance to develop skills & show case our talent. This platform is helping to many job aspirants like me. Special thanks to GTR Academy for always supporting.This was possible only through GTR Academy continuous support and guidance.
I've started preparing in SAP in Feb 2021, I posted a document on LinkedIn to present my skill and fortunately GTR Academy saw my post and suggest me take it as challenge for 21 days and present your skills.
and after completion of 21 days I started getting to many calls and got offer from top 3 MNC's and finally choose NTT Data.
Welcome to GTR Academy, your ultimate destination for top-notch online training and education. Since 2021, we have empowered 10,000+ students and facilitated 9200 placements, helping you step up, learn today, and lead tomorrow!
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Starting Live Classes Batch | Date | Batch Timing | Weekend Batches |
---|---|---|---|
SAP MM SAP SD SAP ABAP SAP FICO |
3rd May | 8:00 PM - 9:00 PM 9:00 PM - 10:00 PM |
2:00 PM - 5:00 PM |
Data Science & AI | 3rd May | 7:00 PM - 8:15 PM | 10:00 AM - 12:00 PM (from 20th April) |
Power BI | 21st April | 9:00 PM - 10:00 PM |