Project Based Mentorship Program

Again we are back with one more issue that individuals are facing with Data Science domain now a days & reaching out to us for the same,here we understand their query even at the same time decided to work for them in different manner.

Major problem every individual dealing with is,'N' number completed their course but they have only focused on learning instead learning while applying concepts( we can say learning with experience(scalable ML model))& reason why you fail to get a job/internship & in this article we have covered important key skill that you may be lagging & to focus with,at the same time we are coming up with crazy stuff for you people,do read the article till end for more details.

You have to be intermediate learner,what we mean by that is you should aware about Python & it's packages used in Data Science,should have knowledge about Machine Learning & our team will take you forward to feel the pain behind this field by working on project based guidance throughout.

We will be focusing on reverse engineering process which in turn you will experience the pain while applying the techniques & searching the right fit path to work on any project.

"No pain,No gain"

Who can join this program?

This program is perfect for those who have built some projects on Machine Learning but still not having real time industry exposure & confused with the approach to deal with as a essential key skill to build any project.

We strongly believe individual who have hunger to learn & research then this is the perfect place to experience while you learn whether you are fresher or professional.

We will deal with all pain point behind Data Science which requires patience with research.

Flow of Program!!

1.)Directly we will deal with projects & feel the pain while working with any project from scratch,where we will start with Data Visualization projects with story making using tools like Excel,Tableau & Power BI with at least 2 to 3 projects while experience first then Learn because only Learning is nothing apart for just collecting information.

2.)Getting deep into Applied Statistics while dealing with projects & experiencing the pain behind applied statistics which is one of the important key skill as a Data Scientist.

3.)Working with real time use cases & with applied EDA,Data Cleaning Techniques,Feature Encoding ,Feature Engineering ,Pre-processing,Hyper-parameter Tuning & applied Machine Learning Skills to build an model while dealing with projects.

4.)Deployment of Machine Learning Models with Flask API, Heroku,GCP & other platforms.At first we will be focusing on building statistical model for better understanding as a Data Scientist.

5.)Duration of the Program will be 3 months which is going to be unique based learning with projects.

6.)Exploration to Kaggle & how you can enhance your knowledge with such platforms.

7.)Dealing with Live Hackathons & feeling the pain to deal with such problem statement as a Data Scientist.

Advantage of the program!

1.)One-2-One Session with experts.

2.)Access to our all Practical E-Books with easy to learn code.

3.)Practical Based Learning.

4.)Resume Preparation & Referral Program,our team is dedicated to land you with best practices but you have to be more dedicated towards learning & feeling the pain at first.

5.)Get Chance to work with our team on real time case studies

Note::If you want to feel pain behind Data Science Domain then this is something fits you in the bucket as we always focus on first Experience then Learn which requires research,patience & dedication to work with.

Price for the Program will be 4999 INR with refund policy up to 20 days & do fill the google form attached in the post if you are interested, as we will be having limited seats up to 30.

If you are someone who is really interested,do get in touch with me over whatsapp or call on +91-9632644825. And we are starting from 4th of August'20,4 days a week classed with doubt clearing session plus one-2-one mentorship from experts.

Registration will closed on 30th of july'20

Happy Learning,See you soon!!