1 / 12

Data science training in Chennai

Well trained and professional Data science couching was taken in Greens technologys,Learn SAS, R, Python, Machine leaning and algorithms with real-world experience.

raveenam
Download Presentation

Data science training in Chennai

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. DATA SCIENCE LEARNING PLAN DATA SCIENCE LEARNING PLAN

  2. INTRODUCTION INTRODUCTION ▪ I joined examination vidhya as an understudy the previous summer. ▪ I did not understand what was in store for me. ▪ I had been following the blog for quite a while and loved the network, yet did not comprehend what's in store as an assistant. ▪ I saw a great many individuals following investigation vidhya religiously ▪ Learn Data science training in Chennai Data science training in Chennai at Greens Technologys Technologys Greens

  3. WHY CREATE THIS LEARNING PATH? WHY CREATE THIS LEARNING PATH? ▪ Among different assets on investigation vidhya, learning ways are unique. ▪ The measure of exertion and supposing they require is gigantic. ▪ The quantity of drafts they experience is amazing. be that as it may, the sort of effect they make for our gathering of people is gigantic. ▪ That is the reason I concluded that I will make a learning plan for 2017 for every one of our adherents.

  4. WHO SHOULD USE THIS LEARNING PATH? WHO SHOULD USE THIS LEARNING PATH? ▪ This learning way would be greatly helpful for any one who needs to learn machine adapting, profound learning or information science in this year. ▪ In the event that you intend to sit tight for a year, we will distribute something comparative in 2018 too ? ▪ This arrangement will manage you through the voyage.

  5. HOW CAN YOU USE THIS LEARNING PATH? HOW CAN YOU USE THIS LEARNING PATH? ▪ In making this arrangement, we have expelled the perplexity from the way toward learning. ▪ The greatest test which individuals confront while learning isn't shortage of learning material – however a lot of it. ▪ This arrangement takes this perplexity out. this way contains both hypothetical assets too functional models. ▪ we have likewise given you assets/tests to apply your learning and benchmark yourself.

  6. A FEW DEFINITIONS BEFORE WE START A FEW DEFINITIONS BEFORE WE START ▪ Who is an amateur information researcher? ▪ Who is a transitioner information researcher? ▪ Who is a middle of the road information researcher?

  7. SETTING TARGET AND TIMELINES FOR SETTING TARGET AND TIMELINES FOR YOURSELF YOURSELF ▪ Beginner Data Scientist ▪ Transitioner Data Scientist ▪ Intermediate Data Scientist

  8. BEGINNER DATA SCIENTIST BEGINNER DATA SCIENTIST ▪ Fledgling information researcher ▪ Learn essential arithmetic and measurements required for information science ▪ Build up an essential comprehension of machine learning calculations and taking care of genuine issues from them ▪ Abilities required to arrive you first information science temporary position/work. ▪ Time spent ~ 3 hours/day

  9. TRANSITIONER TRANSITIONER DATA SCIENTIST DATA SCIENTIST ▪ Transitioned information researcher ▪ Learn essential arithmetic and insights required for information science ▪ Build up an essential comprehension of machine learning calculations ▪ Chip away at ventures and make an arrangement of undertakings ▪ Abilities required to arrive your first information science entry level position/work. ▪ Time spent ~ 5 hours/day

  10. INTERMEDIATE DATA SCIENTIST INTERMEDIATE DATA SCIENTIST ▪ Middle information researcher ▪ See profound learning methods and calculations to the degree of applying them on genuine issues. ▪ Figure out how to make amazing intuitive perceptions and enhance your narrating abilities. ▪ Comprehension of late improvement (fortification learning) in the field of information science and fuse them into the current machine learning systems. ▪ Web structures and distributed computing to make free information/machine learning items. ▪ Time spent ~ 3 hours/day

  11. CONCLUSION CONCLUSION ▪ On the off chance that you need to advance in your information science venture you should simply pick your class and take after the adapting industriously. ▪ In the event that you have any inquiries, questions or recommendations drop in your remark underneath and I will be cheerful to answer them. ▪ On the off chance that you need to make your own learning way share it with me how are you wanting to take after your adventure of turning into an information researcher.

  12. DATA SCIENCE @ GREENS DATA SCIENCE @ GREENS TECHNOLOGYS TECHNOLOGYS ▪ If you are seeking to get a good Data science training in Chennai training in Chennai, then Greens should be the first and the foremost option. ▪ We are named as the best training institute in Chennai for providing the IT related trainings. Greens Technologys is already having an eminent name in Chennai for providing the best software courses training. ▪ We have more than 115 courses for you. We offer both online and physical trainings along with the flexible timings so as to ease the things for you. Data science Greens Technologys Technologys

More Related