Abstract: You may have observations at the wrong frequency. Maybe they are too granular or not granular enough. The Pandas library in Python provides the capability to change the frequency of your time series data. About the speaker: Kalyan Prasad is a Self-taught Data Scientist (Something explored beyond spreadsheets) and holds a master degree in Finance. He has transitioned his career from Non tech to Tech stack. He's accomplished business professional with domain expert and having decade of work experience in multiple roles such as Research Analyst, Senior Research Analyst, Business Analyst, Data Analyst & Data Scientist. My current role includes executing data-driven solutions to increase efficiency, accuracy, and utility of internal data processing. Experienced at creating data regression models, using predictive data modelling, and analysing data mining algorithms to deliver insights and implement action-oriented solutions to complex business problems. He loves discovering data trends, seeing unique correlations, and telling the stories behind the numbers from different domains data in various forms. Kalyan loves involving in tech community. He's a Core Member/ Meetups Organizer of Hyderabad Python User Group. He's also one of the organizing committee member for PyConf Hyderabad.