DataHour: Clustering and Segmentation in Data Science

About the DataHour:

Data Science comprises many branches - one of which is Clustering and Segmentation. These techniques help identify cohorts (of customers, users, etc) and increase clarity and transparency in business decision making and execution. 

In this DataHour Arani will explain the following techniques- K Means clustering, Decision Tree in detail and how these techniques are being used in real life. 

Prerequisites: Zeal of learning Data Science and basic understanding of R.

Who is this DataHour for?

• Students & Freshers who want to build a career in the Data-tech domain.
• Working professionals who want to transition to the Data-tech domain.
• Data science professionals who want to accelerate their career growth

Note: E-certificates will be provided within 24 - 48 hours of the session only to those who have attended the entire webinar. Please make sure to join the zoom webinar with your correct name and email address to ensure that your certificate is properly credited to you.

Speaker:

Arani Dhar

Senior Data Scientist at Atlassian

Arani is currently working as Senior Data Scientist at Atlassian with 7+ years of experience in the field of Analytics and Business Intelligence with horizontal exposure across CPG, Finance and Insurance domain and driven by a steep learning curve in terms of analytical skill and business acumen with hands on experience in data mining algorithms, segmentation, customer profiling and business reporting by leveraging tools like R, SQL, Python, MS Excel and PowerPoint.

Connect with Arani on linkedin.