Python for Analytics - Numpy, Pandas, Matplotlib, Seaborn

Overview

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Embark on a comprehensive 7-hour journey into Python for analytics, mastering essential libraries like Numpy, Pandas, Matplotlib, and Seaborn. Dive deep into data manipulation, analysis, and visualization techniques through hands-on projects analyzing IPL, FIFA, and COVID-19 datasets. Gain practical skills in data science and prepare for interviews with extensive question-and-answer sessions covering both Python and data science topics. Perfect for beginners, this course equips you with the tools and knowledge needed to kickstart a career in data analytics and visualization using Python.

Syllabus

➤ Skip Intro: .
Introduction.
Agenda.
Numpy.
Pandas.
Matplotlib.
Seaborn.
IPL Project.
Fifa Project.
Covid-19 Project.
Python Interview Questions.
Data Science Interview Questions.