Become an AI Expert: Earn 3 Certifications in Advanced AI Techniques
Mastering Data Analytics and Visualization: From Basics to Insights
- Prerequisite : None
- Duration - 3 Months (15-20 Hours / Week)
- Type of Class : Online
- Two Classes/Week with Flexible Scheduling (1.5 hr per class)
- Mentorship - 1:1 with Mentor
- Progress Check : 1:1 Code Review with Instructor
- Guidance to Build Job Portfolio Profile
Mastering Machine Learning: Types, Techniques and Model Evaluation
- Prerequisites : Knowledge of Programming
- Duration - 3 Months (15-20 Hours / Week)
- Type of Classes : In Person / Online
- Two Classes/Week with Flexible Scheduling (1.5 hr per class)
- Mentorship - 1:1 with Mentor
- Progress Check : 1:1 Code Review with Instructor
- Guidance to Build Job Portfolio Profile
Mastering Advanced AI: CNN, RNN, and Natural Language Processing
- Prerequisites : Basic of Programming and ML
- Duration - 3 Months (10-15 Hours / Week)
- Type of Class : In Person / Online
- Two Classes/Week with Flexible Scheduling (1.5 hr per class)
- Mentorship - 1:1 with Mentor
- Progress Check : 1:1 Code Review with Instructor
- Guidance to Build Job Portfolio Profile
FAQ
For three consecutive years, it has been ranked as one of the top fields in LinkedIn's Emerging Jobs Report, and the latest figures show that data scientist roles are growing at an annual rate of 37%. Companies across various industries, such as information technology, software, financial services, and higher education, are rapidly establishing in-house teams of data scientists and advanced analysts, but there is a shortage of skilled talent.
If you have a quantitative background or possess analytical skills, developing a specialized skill set in data science can open up numerous opportunities for high-paying careers in areas such as advanced analytics, business intelligence, and more.
Data science bootcamps often attract a diverse group of students with different backgrounds and levels of experience. Students come from non-technical backgrounds but have developed an interest in data science and are looking to pivot their careers towards this field. If you have background in computer science, mathematics its great but this is not required. Anybody can learn Data Science.
No, There is no prerequisites for this course. This is designed for technical and non technical background. If you already have basic knowledge about the python, statistics and exploratory data anlaysis then you can join Intermediate data science course.
We are committed to helping our graduates transition into the workforce successfully. We offer comprehensive career services to assist students in their job search. This includes resume building, interview preparation and career counselling sessions.
We also guide from time to time how to build a strong network with professionals. Building a strong professional network is crucial for career growth.
Our curriculum includes real-world projects that allow students to build a strong portfolio showcasing their practical skills and problem-solving abilities. This portfolio can be a powerful tool during job interviews.
To prepare our students for the job application process, we conduct mock interviews. This helps them gain confidence and refine their communication skills when discussing their technical expertise and project experiences.
While we do not guarantee specific job placements, our goal is to equip our graduates with the skills, knowledge, and support needed to pursue fulfilling careers in data science. We continuously iterate and improve our program based on industry feedback to ensure our students are well-prepared for the demands of the job market
The curriculum outlines the topics covered in each course, detailing the skills you will acquire upon completion. For further information or if you have any questions, please schedule a call.
The bootcamp is designed to provide a substantial amount of hands-on experience through real-world projects. Our curriculum emphasizes practical application, allowing students to engage with industry-relevant challenges and build a solid foundation of skills. Throughout the program, you'll actively work on projects that simulate authentic scenarios, ensuring that you gain valuable experience applicable to the field of data science. This hands-on approach is integral to our teaching methodology, fostering a deeper understanding of concepts and enhancing your readiness for real-world applications in the field.