Data Analysis In-Depth (With Python) is a comprehensive data analysis course in the Python programming language published by Udemy Academy. This course covers many important topics such as the principles and applications of data analysis and analysis, statistics, hypotheses, the principles of the Python programming language, the Numpy, Pandas, Matplotlib, Seaborn libraries, and exploratory data analysis, or EDA for short. The most educational course is Udemy website. By completing this training course and taking careful notes of important content, you will be able to appear successfully in interviews and job tests in the field of data science and gain the necessary qualifications to hold job positions in the field of data science. This training course can be introduced as a prerequisite for other disciplines such as artificial intelligence development, natural language processing, deep learning and machine learning, reinforcement learning, and so on.
What you will learn in Data Analysis In-Depth (With Python)
- Principles and applications of data analysis
- Basics of Python programming language
- Numpy Library
- Pandas Library
- Matplotlib Library
- Seaborn Library
- Frequently Asked Questions and Topics in Job Interviews
Instructors: Harish Masand
Level: Introductory to Advanced
Number of Lessons: 23
Duration: 52 hours and 39 minutes
Data Analysis In-Depth (With Python) Prerequisites
No Pre-requisite required. Curiosity to learn.
Data Analysis In-Depth (With Python) Introduction Video
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