Udemy – Deep Data Analysis (with Python) 2021-10 – Download

Description

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 principles and applications of data analysis and analysis, statistics, hypotheses, principles of Python programming language, libraries Numpy, Pandas, Matplotlib, Seaborn and more. exploratory data analysis, or EDA for short. The most educational course is the Udemy website. By completing this training and carefully taking notes of important content, you will be able to ace data science job interviews and tests and gain the qualifications needed to fill data science positions . This training can be introduced as a prerequisite to other disciplines such as the development of artificial intelligence, natural language processing, deep learning and machine learning, reinforcement learning, etc.

What You’ll Learn in Deep Data Analysis (with Python)

  • Principles and applications of data analysis
  • Statistics
  • theories
  • Python Programming Language Basics
  • Numpy Library
  • Panda Library
  • Matplotlib library
  • Seaborn Library
  • Frequently Asked Job Interview Questions and Topics

Course Specifications

Editor: Udemy
Instructors: Harish Masand
French language
Level: Introductory to Advanced
Number of lessons: 23
Duration: 52 hours and 39 minutes

course topics

In-depth data analysis content (with Python)

Prerequisites for Deep Data Analysis (with Python)

No prerequisites required. Curiosity to learn.

Pictures

In-Depth Data Analysis (with Python)

Introductory Video to Deep Data Analysis (with Python)

installation guide

After the clip, watch with your favorite reader.

english subtitles

Quality: 720p

Download links

Download Part 1 – 3 GB

Download part 2 – 3 GB

Download part 3 – 3 GB

Download part 4 – 3 GB

Download part 5 – 3 GB

Download part 6 – 3 GB

Download part 7 – 165 MB

File password(s): free download software

size

18.1 GB

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