20 Days Data Science Bootcamp

We strongly believe that building Machine Learning model is not that much important instead learn how to make story & statistical models ,same we will learn from this bootcamp while we apply.

Advantage of Bootcamp: You can have 1 to 1 mentorship with mentors to clear your doubts as we have only limited seats to deliver the best.

If you don't like the bootcamp 100% refund availaible.

Note:We will work on projects at the same time with Q & A session as per user demand without fail.

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"

To be very clear don't waste your time to learn python for data science instead try to start working with small visualization project on any problem statement & before plotting graph be clear with your why? ,plotting handsome graph is not your work if you unable to describe it with your own assumptions based on problem statement.

So,as per our discussion with our connection & while taking interview we have observed that individual are lagging are with EDA,Data Cleaning when & where to apply & why to apply,individual plot graph & fail to create story out of it which should be the basic skill that an individual should have as an Data Scientist.Even individual learn statistics but they can’t apply & not having practical approach to apply while dealing with problem statement & lagging with more of practically knowledge which is one of the major key skill as an Data Scientist.

One of the important key skill individual are lagging with mostly is research + statistics & 85% of individual can't visualize y=mx+c that is linear algebra which is one of the important part that everyone should know as a data scientist ,you have to visualize the stuff before you have to clear with why? before plotting any graph & you can able to do only if problem statement is pretty much clear with lot of assumptions.

Even feature engineering is one of the important key skill before building any model & to work with this you need tons of practice to understand & to apply.

what is feature engineering,when & how to apply?

Feature engineering is something which is not define & you can master with tons of practice,but how?

Whenever you are dealing with any problem statement,first way to approach is to search about some existing research paper for the same,read blogs related to & see if existing solution exist for the same,then believe you can work with feature engineering with strong fundamentals,there are many different techniques as well to deal with features,let's say if you are having 200 features in your data set then it's obvious we don't have to use all features & here we have to work to select important features to build scalable solution.

Another important key skill if you are finding difficulty to get job/internship is hyper-parameter tuning,in simple words it's nothing just improvising your machine learning model for better fit by working with different techniques at the same time & pre-processing techniques as well individual are not aware of which in turn plays important role while dealing with any project to work with.

One of the major problem that you may be going through is knowing the approach to start with any project,essentials things to keep in mind while moving ahead & you believe or not 90% of Data Science Enthusiast unable to apply statistics concept while dealing with problem statement which is one of the stuff everyone out there is lagging & one of the major key skill as well reason not to get into job/internship.

Program Flow:

Duration:20 Days

Price: 1499 INR

Topics Covered:

Day 1 to Day 4:Python for data science from basics like numpy,pandas,seaborn,matplotlib & intermediate python concepts.

Day 5: EDA & how to approach any problem statement,how to apply python smartly & how to google smartly

Day 6: Important key skills to keep in mind as a Data Scientist & starting with visualization project

Day 7 to Day 10:Working with python package to showcase visualization projects on streamlit from scratch to advance & at the same time working with visualization projects end to end.

Day 11 to Day 12:Applied Statistics From scratch with implementation covering all important topics like hypothesis testing,inferential & descriptive statistics with practical experience(in the end you will learn how to apply statistics).

Day 13-Day 16:How to apply Feature Engineering & steps to learn in a smart way(how it is important with application).

• Missing values handling
• Feature encoding
• Feature transformation
• Outlier detection
• Standardization

Day 16-Day 17:Introduction to Machine Learning in Layman words & Applied Mathematics for Machine Learning

Day 18-Day 20:Working on a real time project(will not work with a dataset which is already available) while applying all essential key skills & will work in a very unique way.

 Class Timing:Live classes alternate days in between 6:30pm to 10pm

If you are interested for the program do join the whatsapp group here

Start Date:1/09/20

Last date to register:29/08/20

Note:Do fill google form if & if you are interested otherwise do not waste your time for the same.