Introduction to quantitative investment and Trading (Python introduction to financial analysis)

Recommend a course ： Course connection

Course name ： Dead wage one party courses ： The small white Introduction to quantitative investment （python）
Course orientation ： This course is a video course , Comprehensive coverage of quantitative trading basic knowledge points .
Face the crowd ： Weak stock base 、Python Those with a weak programming foundation .
Refer to the following table for the course sections ：

Course chapters	Course content and professional ability requirements	Class name
One 、python introduction	preparation	The first 01 course ：python brief introduction
		The first 02 course ：Python Install it Anaconda
		The first 03 course ：Python Introduction to development tools
	Python Data type and data structure are explained in detail	The first 04 course ：python introduction - Variables and data types
		The first 05 course ：python introduction -Python Operator
		The first 06 course ：python introduction - Detailed list
		The first 07 course ：Python introduction - Tuples 、 aggregate
		The first 08 course ：python introduction - Dictionaries
	Python Introduction to programming	The first 09 course ：python introduction - Cycle control - control flow
		The first 10 course ：python introduction - Cycle control - loop
		The first 11 course ：python introduction - Cycle control -break、continue、pass
	The fourth part ：Python Advanced	The first 12 course ：python introduction - function
		The first 13 course ：python introduction - object-oriented
		The first 14 course ：python introduction - Underline 、 Double underline 、 Double underline the head and tail
		The first 15 course ：python introduction - Class inheritance
		The first 16 course ：python introduction - How to write a project exception handling
Two 、 Advanced	Python High order operation	The first 17 course ： One line code conversion list and Dictionary . The intersection of lists 、 and 、 Bad , Lists and dictionaries are interchangeable
		The first 18 course ： Higher order function ,lambda、MAP、filter
3、 ... and 、python Practical application	Scientific computing module -Numpy	The first 19 course ： Scientific computing module - Numpy Basic introduction
		The first 20 course ： Scientific computing module - Numpy Advance quickly
	Data analysis library - pandas	The first 21 course ： Data analysis - pandas Data structure and data preview operation
		The first 22 course ： Data analysis - Missing values delete 、 Missing value fill 、 Data substitution 、 identification 、 Data statistics, etc.
		The first 23 course ：pandas Stock data combat
	Data visualization - matplotlib、seaborn	The first 24 course ： from sin(x) Learn to matplotlib
		The first 25 course ： Visualization of initial statistics -seaborn
		The first 26 course ： Statistical data visualization style design -seaborn
		The first 27 course ：python actual combat - Analysis of the employment situation of college students
Four 、 Quantitative combat	Financial knowledge	The first 28 course ：A Stock market introduction and basic concept interpretation （ Introduction to Xiaobai ）
		The first 29 course ： Quantitative trading
	Technical indicators and income indicators	The first 30 course ： Initial technical specifications -python draw K Line diagram example
		The first 31 course ： Technical indicators - Single K Line form
		The first 32 course ： Technical indicators -K Line combination form strategy
		The first 33 course ： Technical indicators Moving average strategy - With 520 Take the tactics of war for example
		The first 34 course ： Common income index calculation method
	actual combat	The first 35 course ： Data acquisition demonstration
		The first 36 course ： Write the first trading strategy
		The first 37 course ： Portfolio optimization
	Using algorithms to interpret stock market data , Be the master of data	The first 38 course ： Recognize algorithms
		The first 39 course ： Machine learning practice
		The first 40 course ： Deep learning practice

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