CG数据库 >> Python for Data Science and Data Analysis Masterclass: 2020

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + .srt | Duration: 49 lectures (6h 39m) | Size: 1.82 GB

Learn Python for Data Science, Machine Learning, Deep Learning & Data Analysis, Hand's on NumPy, Pandas and Matplotlib !

What you'll learn:

Python for Data Science and Data Analysis

Complete Understanding of Python from Scratch

NumPy for Numerical Data

NumPy Array, NumPy Operations

Pandas for Data Analysis

DataFrames, Pandas Series, Pandas Matrix

Working on Missing Data, Reading and Writing Files

Matplotlib for Data Visualization

Seaborn for statistical visualization

Plotly for Collaborative, web-based graphing and analytics

Data Visualization with Pandas

Requirements

No Prior Knowledge or Experience Needed, Only a Passion to Learn !

Description

Hello Data Scientist,

Welcome to this course, on Python Programming !

In this course we will learn,

1) Complete understanding of Python from Scratch

2) Python for Data Science, Data Analysis and Visualization

It is the Most Comprehensive and Straight-Forward Course to build a solid foundation for Data Science and Data Analysis

List of the Topics that you will learn,

1) Python Crash Course:

Part 1: Data Types

Part 2: Python Statements

Part 3: Functions

Part 4: Object Oriented Programming (OOP)

2) Data Analysis with numPy :

NumPy array, Indexing and Selection, NumPy Operations

3) Data Analysis with pandas :

DataFrames, Series, Matrix, Working on missing data, Reading and Writing files

4) Data Visualization with matplotlib :

Amazing visualization library in Python for 2D plots of arrays

Learn Python Programming to advance your Career and increase your knowledge in a fun and practical way !!!

Regards,

Vijay Gadhave

Who this course is for

Beginners who have Never Programmed in Python Before

Data Science, Machine Learning Aspirants who want to start with Python


Python for Data Science and Data Analysis Masterclass: 2020的图片1
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发布日期: 2020-06-30