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[FreeCoursesOnline.Me] PacktPub - Python For Finance Investment Fundamentals And Data Analytics [Video]

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	486cd2775e36e2f586b2d54bd49e611d86ffa8c4
Size:	4 GB in 96 files
Release Date(s):	Torrent Release: 27-09-2021 by user
Swarm:	0 Seeds & 0 Peers
Vote:	No votes yet.

DESCRIPTION

Lynda and other Courses >>> https://www.freecoursesonline.me/

For Developer Tools & Apps >>> https://ftuapps.com/

Forum for discussion >>> https://1hack.us/

By: 365 Careers Ltd.

Updated: August 2021

Course Source: https://www.packtpub.com/product/python-for-finance-investment-fundamentals-and-data-analytics-video/9781789618976

Video Details

ISBN 9781789618976

Course Length 7 hours 9 minutes

About

Explore how Python can be applied in the world of finance and solve portfolio optimization problems.

Description

This course will take you on a journey where you will learn how to code in Python. You will learn how to use Python in a real working environment and explore how Python can be applied in the world of finance to solve portfolio optimization problems.

The first part of the course is ideal for beginners and people who want to brush up on their Python skills. Once we have covered the basics, we will be ready to tackle financial calculations and portfolio optimization tasks. The finance block of this course will teach you in-demand, real-world skills employers are looking for. This explains topics such as how to work with Python’s conditional statements, functions, sequences, and loops, build investment portfolios, and more.

The code bundle for this video course is available at https://github.com/PacktPublishing/Python-for-Finance-Investment-Fundamentals-and-Data-Analytics

About This Video

• Learn Python programming from scratch

• Learn to conduct real-world financial analysis in Python

• A practical tutorial designed for programming beginners and aspiring data scientists

Author

365 Careers’ courses have been taken by more than 203,000 students in 204 countries. People working at world-class firms such as Apple, PayPal, and Citibank have completed 365 Careers trainings. By choosing 365 Careers, you make sure you will learn from proven experts who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time.

If you want to become a financial analyst, a finance manager, an FP&A analyst, an investment banker, a business executive, an entrepreneur, a business intelligence analyst, a data analyst, or a data scientist, 365 Careers’ courses are the perfect place to start.

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FILE LIST

Filename		Size
	0. Websites you may like/How you can help our Group!.txt	204 B
	00001 What_Does_the_Course_Cover.mp4	46.5 MB
	00002 Python.mp4	12.9 MB
	00003 Why_Python.mp4	54.7 MB
	00004 Jupyter.mp4	11.8 MB
	00005 Setting_Up_the_Environment.mp4	17.2 MB
	00006 Programming_Explained_in_5_Minutes.mp4	57.7 MB
	00007 Why_Jupyter.mp4	38 MB
	00008 Installing_Anaconda.mp4	47.1 MB
	00009 Jupyter_s_Interface_the_Dashboard.mp4	20.6 MB
	00010 Jupyter_s_Interface_Prerequisites_for_Coding.mp4	42.3 MB
	00011 Jupyter_-_Using_Shortcuts.mp4	29.6 MB
	00012 Jupyter_-_Handling_Error_Messages.mp4	58.2 MB
	00013 Jupyter_-_Restarting_the_Kernel.mp4	14.6 MB
	00014 Python_Variables.mp4	37.5 MB
	00015 Understanding_Numbers_and_Boolean_Values.mp4	23.9 MB
	00016 Strings.mp4	43.2 MB
	00017 The_Arithmetic_Operators_of_Python.mp4	27.3 MB
	00018 What_is_the_Double_Equality_Sign.mp4	9.8 MB
	00019 How_to_Reassign_Values.mp4	6.7 MB
	00020 How_to_Add_Comments.mp4	8.8 MB
	00021 Understanding_Line_Continuation.mp4	4.4 MB
	00022 How_to_Index_Elements.mp4	8.7 MB
	00023 How_to_Structure_Your_Code_with_Indentation.mp4	10.1 MB
	00024 Python_Comparison_Operators.mp4	15 MB
	00025 Python_s_Logical_and_Identity_Operators.mp4	43.1 MB
	00026 Getting_to_Know_the_IF_Statement.mp4	19.9 MB
	00027 Adding_an_ELSE_statement.mp4	19.7 MB
	00028 Else_if_for_Brief_ELIF.mp4	46.3 MB
	00029 An_Additional_Explanation_of_Boolean_Values.mp4	16.2 MB
	00030 How_to_Define_a_Function_in_Python.mp4	11.7 MB
	00031 How_to_Create_a_Function_with_a_Parameter.mp4	32.4 MB
	00032 Another_Way_to_Define_a_Function.mp4	21 MB
	00033 How_to_Use_a_Function_within_a_Function.mp4	12.2 MB
	00034 Use_Conditional_Statements_and_Functions_Together.mp4	23.7 MB
	00035 How_to_Create_Functions_that_Contain_a_Few_Arguments.mp4	11.5 MB
	00036 Built-In_Functions_in_Python_Worth_Knowing.mp4	31 MB
	00037 Introduction_to_Lists.mp4	30.1 MB
	00038 Using_Methods_in_Python.mp4	30.9 MB
	00039 What_is_List_Slicing.mp4	42.7 MB
	00040 Working_with_Tuples.mp4	22.8 MB
	00041 Python_Dictionaries.mp4	33.7 MB
	00042 Using_For_Loops.mp4	20.1 MB
	00043 Using_While_Loops_and_Incrementing.mp4	23 MB
	00044 Use_the_range_Function_to_Create_Lists.mp4	26.9 MB
	00045 Combine_Conditional_Statements_and_Loops.mp4	23.4 MB
	00046 All_In_Conditional_Statements_Functions_and_Loops.mp4	15.2 MB
	00047 How_to_Iterate_over_Dictionaries.mp4	24.9 MB
	00048 Object-Oriented_Programming.mp4	44.1 MB
	00049 Modules_Packages_and_the_Python_Standard_Library.mp4	47.5 MB
	00050 Importing_Modules.mp4	24 MB
	00051 What_is_Software_Documentation.mp4	50.1 MB
	00052 The_Python_Documentation.mp4	83.2 MB
	00053 Must-Have_Packages_Fin_DSc.mp4	54.2 MB
	00054 Arrays.mp4	42.1 MB
	00055 Generating_Random_Numbers.mp4	22.9 MB
	00056 Using_Financial_Data_in_Python.mp4	22.9 MB
	00057 Importing_Data_Part_I.mp4	38.5 MB
	00058 Importing_Data_Part_II.mp4	103.8 MB
	00059 Importing_Data_Part_III.mp4	49.5 MB
	00060 Changing_the_Index_of_Your_Time-Series_Data.mp4	46.5 MB
	00061 Restarting_the_Jupyter_Kernel.mp4	37.3 MB
	00062 Considering_Both_Risk_and_Return.mp4	29.7 MB
	00063 What_are_We_Going_to_See_Next.mp4	23.7 MB
	00064 Calculating_a_Security_s_Rate_of_Return.mp4	44.6 MB
	00065 Simple_Returns_Part_I.mp4	66.5 MB
	00066 Simple_Returns_Part_II.mp4	33 MB
	00067 Log_Returns.mp4	40.4 MB
	00068 Portfolio_of_Securities_and_Calculating_Rate_of_Return.mp4	20.7 MB
	00069 Calculating_the_Rate_of_Return_of_a_Portfolio_of_Securities.mp4	96.2 MB
	00070 Popular_Stock_Indices.mp4	30.6 MB
	00071 Calculating_the_Return_of_Indices.mp4	60.2 MB
	00072 How_Do_We_Measure_a_Security_s_Risk.mp4	54.6 MB
	00073 Calculating_a_Security_s_Risk_in_Python.mp4	66.9 MB
	00074 The_Benefits_of_Portfolio_Diversification.mp4	31.6 MB
	00075 Calculating_the_Covariance_between_Securities.mp4	28.7 MB
	00076 Measuring_the_Correlation_between_Securities.mp4	30.5 MB
	00077 Calculating_Covariance_and_Correlation.mp4	51.5 MB
	00078 Considering_the_Risk_of_Multiple_Securities.mp4	42.5 MB
	00079 Calculating_Portfolio_Risk.mp4	27.5 MB
	00080 Understanding_Systematic_Versus_Idiosyncratic_Risk.mp4	24.7 MB
	00081 Calculating_Diversifiable_and_NonDiversifiable_Risk.mp4	46 MB
	00082 Simple_Regression_Analysis.mp4	30.1 MB
	00083 Running_a_Regression_in_Python.mp4	60.3 MB
	00084 How_to_Distinguish_Good_Regressions.mp4	44.7 MB
	00085 Computing_Alpha_Beta_and_R2_in_Python.mp4	65.1 MB
	00086 Markowitz_Portfolio_Theory.mp4	61.4 MB
	00087 Obtaining_the_Efficient_Frontier_Part_I.mp4	56.8 MB
	00088 Obtaining_the_Efficient_Frontier_Part_II.mp4	72 MB
	00089 Obtaining_the_Efficient_Frontier_Part_III.mp4	25 MB
	00090 The_Intuition_Behind_the_CAPM.mp4	40.8 MB
	00091 Understanding_and_Calculating_Beta.mp4	35.9 MB
	00092 Calculating_the_Beta_of_a_Stock.mp4	40.4 MB
	00093 The_CAPM_Formula.mp4	35.2 MB
	00094 Calculating_the_Expected_Return_of_a_Stock.mp4	23.2 MB
	00095 Introducing_the_Sharpe_Ratio.mp4	19.3 MB

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