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Data Science Certification Program

Data Science is one of the highest-paying jobs.

Learn Leading Tools like R, Python, ML & more via Projects & Case Studies.

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About K2 Analytics

K2 Analytics is a Business Intelligence and Analytics focused training institute.

We at K2 Analytics aim at helping freshers and working professionals acquire the necessary skills needed to become successful in the field of business intelligence and analytics. Fresh graduates and working professionals are trained to meet the industry expectations and to deliver their optimum performance. We help in building the confidence of students and empower them with the right knowledge to take on challenging roles in business analytics/data science space.

Collaborations

Clients

Our Courses

ML

Machine Learning Certification

Mode: Instructor Led Online
Duration: 6 Months
Start Date: Dec 06, 2020
Course Fee: ₹ 85,000 ( + GST )

Python

Data Science With Python

Mode: Instructor Led Online
Duration: 20 Hours
Start Date: Dec 26, 2020
Course Fee: ₹ 12,000 ( + GST )

R

Python Programming Certification

Mode: Instructor Led Online
Duration: 10 Hours
Start Date: Every 1st Week of the Month.
Course Fee: ₹ 7000 ( + GST )

Next Batch starts: Dec 06, 2020

Limited no. of seats available

Duration: 120 hours

3-4 hours/week

Mode: Instructor Led Online

Class Format

Capstone Projects

An IT company has more than 100000 employees and have a very high attrition rate. The business environment is very competitive, and the cost of replacement is much higher than the cost of retaining an existing employee. If a skilled employee resigns the replacement involves cost of hiring and training. There is also some loss of efficiency till the new employee comes to speed.

The IT company sample data has been provided. HR Department of the company is looking for an attrition model that can help identify the employees who are likely to resign. Based on the model, HR will build an employee retention strategy and they have estimated that they can save more than Rs. 100 Million if they reduce the attrition rate by 0.5%.

As a Data Scientist our goal is to build Employee Attrition Model

A bank in Middle East would like to build Credit Default Model for their Home Loans portfolio. The model is an Application Scorecard for Home Loans and it will be used to evaluate credit worthiness of future customers applying for home loans.

The data of about 20000 loans customer with their default status has been provided. The data is a mix of expats and locals. The demographic details, income details and loan related parameters have been provided.

You have been assigned the task of building Application Scorecard for Home Loans using Logistic Regression Model. The probability of default as predicted by the model has to be converted into credit score such that a total score of 600 points corresponds to good/bad odds of 50 to 1 and an increase of the score of 20 points corresponds to a doubling of the good/bad odds.

MyBank wish to develop Direct Marketing channel by cross-selling various banking products and services to their existing customer base. The bank executed a pilot campaign to sell personal loans to their deposit account holders. The campaign offer was communicated to the customers through email, sms, and direct mailers.

The customers were incentivized to respond by giving the loan at 1% rate lower than market rate along with the processing fee waiver if the customer availed the loan within 15 days time period.

The demographics and behavioural variables along with responder / non-responder of the campaign has been provided. You have been assigned the task to build a Predictive Model to find profitable segments for cross-selling personal loans. Along with the model you must provide the model implementation and deployment strategy for future campaigns.

Features & Benefits

Why K2 Analytics

3000+ STUDENTS POSITIVELY IMPACTED

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120+ HOURS OF TRAINING CONTENT

Recent Training & Sessions

Testimonials

We had invited Mr Rajesh from K2 Analytics to conduct a workshop on Machine Learning and R Programming. The workshop was very well appreciated by all the participants. We are thankful for your time and the knowledge shared with us. I would like to rate the training 5 out of 5 for the training quality, content and the case-study way of explaining the topic which struck the right chord with the audience who were from the First Year and Second Year of Engineering. Thanks, k2analytics.

Isha Chhawchharia

Student, SNDT College Mumbai

Within 2 months of Machine Learning course commencement, my perspective of looking at data had changed drastically. It helped me to present my existing reports and dashboards with insightful information. It is truly said "If you don't know the business, data can teach you." Complex terms were explained in a very elegant and simpler way to make it very easy to understand. The industry experience regularly shared by the trainer helps a lot. Many thanks to K2 Analytics!

Avinash Pathak

Cluster Manager (Enterprise Analytics), Clariant

I think joining K2 has been one of the best decision i have made in my career. Rajesh sir is very passionate instructor with immense knowledge in most demanding domain of this era and has great teaching skills, he keeps it simple for us to understand any complex concepts. I joined here with level-0 analytics skills but now after machine learning with R session i think I am ready to transform myself into analytics domain. I would highly recommend K2 Analytics to those who aspire to make career in Analytics domain.

Rashmi Yadhav

Manager, Vodafone India

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