|Apr'20 Batch||Start Date||Timings|
|Trial Class||4-Apr-20||6:00 PM - 8:00 PM|
|Regular Classes||5-Apr-20||6:00 PM - 8:00 PM|
|Pre-requisites||Passion for learning|
|Program starts||4 Apr'20|
|Instructor||Data Scientists from Oracle|
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Bank: Axis Bank | A/C Type: Current
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Course registration is FREE.
Student need to deposit full fee within 3 days after taking the free demo classes to continue with the course.
We ensure that you are satisfied with the demo class and want to continue with the program. When student deposit the full fee after the demo class, there will be no refund of any kind.
Fee is neither refundable nor transferrable.
My Experience at IT Bodhi
Data Scientist at H2O.ai
Contributor at IT Bodhi, Analytics Vidya, DataCamp
The ML class undoubtedly was a perfect combination of knowledge, creativity and engaging course work. The course was precisely curated to make the complex points appear simpler. Assignments were intriguing. I was particularly impressed with the practical use of the material presented. The fact that almost everyone has the same feedback as mine proves just how powerful and influencing the course was. Thanks for guiding 'Naive' people like me and clearing our 'Biases' and 'Variances' towards ML and starting my journey in to ML world.
Rama Shankar Shrivastava
Manager at Bennett, Coleman & Co. Ltd.
I selected IT Bodhi after detailed research online and it came out to be a great decision to join IT Bodhi. I had an exceptional experience with IT Bodhi Classes. Commendable faculty that motivated me every time to be a smart learner. Super eminent class & environment.
AGM at BHEL, INDIA
B.Tech NIT Bhopal
I love learning new technologies and contributing my share to change the world in a better way. AI & Machine Learning always thrilled me and I decided to understand how Data Science/Machine Learning can help core industries in innovation. I started my journey with IT Bodhi with no prior knowledge. Starting was difficult but interesting. I am still learning and getting more and more excited with new things. Mentors Ajay and Rajnish together are excellent combination of specialists in delivering quality lectures under extremely friendly environment.
Placed at Grofers as Data Science Engineer
I did my Machine Learning Training from IT Bodhi. I can bet you that IT Bodhi is the best machine learning training institute in Delhi NCR. It is the best course for beginners as well as professionals who wants to dig deep into the algorithms and concepts of Machine Learning. Ajay Sir and Rajnish Sir are the best trainers who helped me on live projects. I am truly grateful to IT Bodhi for their guidance at every step and it is hard to find mentors like them.
Data Science is all about passion and patience and It normally takes 6-8 months (daily 1-2 hours efforts minimum ) to learn all the data science concepts, algorithms and their applications. But at the same time you need to put regular efforts and complete all the projects and assignments on time to expedite the learning process. After completing this course, it is advised to take 1-2 months for self-learning and interviews preparation. Afterwards you are ready to apply Data Science Profile jobs as per your expereince level.
Yes definitely. This is the right program for you to switch to Data Science/ML domain. Data science projects and solutions are not specific to any domain but its' applications are getting implemented everywhere. Having 10+ experience in a domain is actually very preferable for any ML/DS position because you are the right person to engage with client, understand customer problem/business data and applying all your domain knowledge to execute and implement data collection, data preprocessing and end-end solution in a rapid manner.
This is the RIGHT questions to ask. Competing data science certification program at IT Bodhi is very much sufficient for entry level professionals 0-4 years to get very good job offer as machine learning engineer. But when you have experience 4+ then you have to put extra efforts to align your current experience with new data science learning and justifying your candidature in interview to grab position as ML Architect, Data Scientist, Data Science Project Manager etc. This is where end-to-end domain specific Industry project implementation comes in to the picture under guidance of IT Bodhi mentors. Successful implementation is guarantee of cracking job interviews. It requires dedicated and disciplined efforts to complete project in stipulated time duration.
Strong data science fundamentals , Deep understanding of algorithms and applications. E2E Industry project completion is necessary to make sure you crack job interviews becuase this project will help you to show case your learning and its business application in real time. Also Resume Preparation, Interview Strategy and Interviews FAQs will be shared and discussed in the program.
Yes, definitely. After doing our courses, you will have sufficient theoretical knowledge to take data science interviews with hands-on experience in E2E industry project. Python is part of the program and Mentor will help you in learning programming basics and gradually you will be proficient in python as course progress. Python is very user friendly language and can be easily learned.
The Program will use Python libraries. The necessary python skills can be easily picked up by anyone with programming experience in any language. Tutorial introduction to the Python language will be organized by Mentor and that is part of the program. Learning material on Python for self-study will also be made available.
Industry is aggressively looking for Data science resources in a big number.E2E Industry project and strong fundamentals with dedicated efforts are surety to get job offer in ML/DS.
Yes, You have to bring your laptops. Exercises will be on a cloud based platform.
Yes, Certificate will be given at the end of the program.
It is recommended that you do not miss a class. In case it is unavoidable,session recording are always available for your reference and we would also try to conduct a special session to cover missed topics.