Exploratory Data Analysis on Netflix Data with Python
This session will uncover patterns and insights in Netflix movie data using Python. Join this Masterclass to learn various visualization techniques, tips, and best practices for an effective EDA.
April 15, 2023
02:00 PM to 04:00 PM
Data Scientist | Career Mentor | BITS, Harvard Business School, IIIT-Bangalore Graduate
Nitin Agarwal is a Senior Data Scientist at Microsoft and has 12 years of experience in the industry. He has previously held the role of a Data Scientist at organizations such as Maersk, KPMG, and Accenture. Nitin has expertise in building end-to-end solutions incorporating machine learning, statistical modelling, Natural Language Processing, Deep Learning, and data analytics to extract valuable insights from complex datasets.
Who is this Masterclass for?
Data Science aspirants
Data Science enthusiasts
Professionals who want to switch to Data Science
Interact with a seasoned Data Scientist
Learn EDA using Python
Get the speaker's PPT and Python Code on GitHub
Win a Bootcamp voucher
Key Takeaways from the Session:
- Gain a comprehensive understanding of the detailed steps of exploratory data analysis (EDA).
- Learn various visualization techniques that can be used in EDA to uncover patterns and insights in the data.
- Understand the crucial role that EDA plays in the data analysis process, and why it is a fundamental step in data science.
What participants will get:
- Session Presentation Slides
- Jupyter Notebook File
Some of our successful graduates
The Data Science Masterclass is for Data Science aspirants, Data Science enthusiasts, students, and professionals who want to switch to Data Science.
The registration process is easy! On the Data Science Masterclass page, click on the Register Button. Fill in the name, email, contact information, and year of graduation in the registration form and submit.
No, there is no registration fee. The Masterclass is free-of-cost.
The Data Science Masterclass will be conducted on GoToWebinar. After you submit the registration form, our team will share the link to attend the class.
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