Python Data Analysis and Science Essentials for Beginners.

学习用于数据分析和可视化的Python数据科学基础课程，本课程是面向绝对初学者和中级的基础知识，以逐步进入高级课程。在本课程中，我们将介绍Python基础知识（数据结构，语句和循环控制，面向对象的程序设计，Lambda，模块化程序设计等），并从熊猫，numpy，random，seaborn和Matplotlib。通过本课程，您可以开始数据科学和机器学习之旅，您所需要的只是您的创造力和解决问题的能力。通过本课程，您可以在简历中自信地增加编程技能。数据科学是将领域专业知识，编程技能，
本课程将确保您在初学者中掌握所有必要的基本概念并前进到高级水平。因此，数据科学主要用于通过预测因果分析，说明性分析（预测性与决策科学）和机器学习来做出决策和预测。数据科学已成为21世纪流行的技术技能之一。本课程将使您开始数据科学和机器学习的旅程。
此外，如果您是一位对数据科学有充分而充分的知识的专家，那么本课程不适合您，如果您已经进入高级课程，那么本课程也不再适合您。但是，如果您已经是一名程序员，并且希望在专注于数据科学的同时学习Python编程语言，那么此课程肯定适合您。
在本课程中，我们将使用PyCharm和Anaconda（Jupyter Notebook）作为我们的IDE。
本课程的对象：希望进一步学习Python编程语言的中级学习者初学者，对机器学习和数据科学感到好奇

Created by Fanuel Mapuwei | Last updated 5/2021
Duration: 4h 54m | 9 sections | 56 lectures | Video: 1280×720, 44 KHz | 1.23 GB
Genre: eLearning | Language: English + Sub

Learn Pandas, Numpy, Random, Seaborn, Matplotlib, Binary Files and Find your way to Machine Learning and Data Science

What you’ll learn
Have a full understanding of Python Programming Language
Acquire adequate hands-on skills and confidence to use Python for Machine learning and Data Science
Straight forward Programming Methodology
Able to design well organized and problem-solving programs
Object Oriented Programming (OOP)
Python Pandas, Numpy, Random, Seaborn, Matplotlib and Binary Files

Requirements
CreativityComputer with either MacOs, Windows or LinuxPyCharm or Anaconda (Jupyter Notebook)
Description
Learn Python Data Science Essential Course for Data Analysis and Visualization, this course is Essentials for absolute beginners and Intermediate in order to move forward to the advanced level class. In this course we are going to cover from Python basics (Data Structures, Statements and loop control, Object oriented programming, Lambda, Modular Programming …etc) and also move forward to Data Science Starting with Pandas, Numpy, Random, Seaborn and Matplotlib. With this course, you can start your journey in Data Science and Machine Learning all you need is your creativity and problem solving skills. With this course you can add confidently, programming skills competence in your resume. Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data.
This course will make sure that you grasp all the necessary essential concept as a beginner and push forward to advanced level, in your programming career. So, Data Science is primarily used to make decisions and predictions making use of predictive causal analytics, prescriptive analytics (predictive plus decision science) and machine learning. Data Science has become one of the popular technical skill set in 21th Century. This course will make you start your journey in Data Science and Machine Learning. 
In Addition, if you are an expert with full and enough knowledge about Data Science this course is not for you and if you are in advanced class already this course is not for you again. But if you are already a programmer and you wish to learn Python Programming Language while specifically focusing on Data Science, then this course is for you definitely.
In this course we will be using PyCharm and Anaconda (Jupyter Notebook) as our IDE.
Who this course is for:Intermediate learners who wish to go further with Python Programming LanguageBeginner Python learners who are curious with Machine learning and Data Science