Data Analytics

Introduction

To cater to the needs of corporate Business, Students, and Academics, we offer comprehensive Data analytics trainings that cover a wide range of topics and skills. Our trainings are designed to be accessible and practical, ensuring participants can apply what they learn in real-world scenarios.

Corporate Business

Our data analytics training for Corporate Businesses focuses on providing practical and hands-on training to employees, enabling them to leverage data analytics to drive business growth and make informed decisions. The training covers topics such as data visualization, data mining, predictive modeling, and machine learning. We also emphasize the use of popular data analytics tools and techniques to help participants effectively analyze and interpret data.

Key features of our data analytics training for corporate business include:

1. Customizable training programs tailored to the specific needs and goals of the organization.

2. Experienced instructors with extensive industry experience in data analytics.

3. Real-world case studies and projects to provide practical insights and application opportunities.

4. Team exercises and collaboration to promote teamwork and knowledge sharing within the organization.

5. Continuous assessment and feedback to track progress and ensure effective learning outcomes

Budding Data Engineer and Academics

Our data analytics training for academics is designed to support educators in integrating data analytics into their curriculum and research. We provide training on using data analytics tools, analyzing large datasets, and teaching effective data analytics techniques to students. We also offer guidance in incorporating real-world case studies and projects into academic programs.

Key features of our data analytics training for academics include:

1. Customizable training programs tailored to the specific needs and goals of educational institutions.

2. Workshops and seminars led by experienced instructors with expertise in data analytics education.

3. Access to a wide range of educational resources, including textbooks, teaching materials, and online platforms.

4. Collaboration opportunities with other faculty members to share best practices in data analytics education.

5. Ongoing support and mentorship to ensure successful implementation of data analytics curriculum.

70% Hands ON and 30% Theory

1:1 Weekly Mock Preparation

Technical Interview Preparation

Resume Preparation

Internship Certificate

Course Completion Certificate

Guidance for Domain Certification

Industry Projects

Weekly Assignments

Delivery of the Projects

Job Readiness