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Free Download Python for Financial Management and Investment
Published 12/2023
Created by Marat Makhanov
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 23 Lectures ( 1h 4m ) | Size: 616 MB
Advanced course for Financial Professionals
What you'll learn
Learners will have acquired a comprehensive skill set to analyze and evaluate portfolio performance, making informed financial decisions
Learners will be able to translate theoretical knowledge of portfolio performance measures into functional Python code
Learners will possess the knowledge to explain the rationale behind each performance measure, making them adept at communicating financial insights
Graduates of the course will be equipped to analyze real-world investment portfolios, identify areas for improvement, and implement strategies
Requirements
Basic Python Proficiency: Skills: Learners should have a foundational understanding of basic Python programming concepts, including variables, data types, loops, and conditional statements. Experience: While beginners are welcome, a basic familiarity with Python will enhance the learning experience. Understanding of Financial Concepts: Skills: A fundamental understanding of financial concepts, such as risk, return, and portfolio management, will be beneficial. Experience: Beginners with minimal financial knowledge are encouraged to learn concurrently, as the course provides insights into the application of Python in finance. Coding Environment Setup: Tools/Equipment: Participants should have a working Python environment set up on their machines. This includes the installation of Python and relevant libraries such as NumPy, Pandas, and Matplotlib. Experience: Basic experience with setting up Python environments and installing libraries is advantageous. However, detailed instructions will be provided for those less familiar. Statistical and Mathematical Awareness: Skills: A basic awareness of statistical and mathematical concepts, such as standard deviation and compound annual growth rate, will aid in understanding the calculations involved in portfolio performance measures.
Description
Course Overview:Unlock the power of Python programming in the world of finance with our comprehensive course on portfolio performance measures. Designed for financial professionals, data analysts, Python enthusiasts, students, and investors, this hands-on course provides a unique blend of practical coding exercises and in-depth financial insights.Key Features
Who this course is for
Intended Learners for the Course: This course is specifically crafted for individuals seeking to advance their skills in both Python programming and financial analysis, with a focus on portfolio performance measures. The ideal learners include: Financial Professionals: Description: Financial analysts, portfolio managers, investment advisors, and professionals in the finance industry looking to enhance their quantitative skills and integrate Python programming into their daily analytical tasks. Value Proposition: This course provides a practical bridge between financial expertise and coding proficiency, empowering financial professionals to make data-driven decisions and optimize portfolio performance. Data Analysts and Scientists: Description: Individuals working in data analysis or data science roles interested in applying their analytical skills to the finance domain. Value Proposition: The course offers a hands-on experience in coding financial algorithms, allowing data analysts and scientists to broaden their skill set and apply their expertise to the dynamic world of investment analytics. Python Enthusiasts: Description: Python enthusiasts who want to deepen their programming knowledge by applying it to real-world financial scenarios. Value Proposition: This course provides a practical context for Python programming, making it appealing to those enthusiastic about expanding their coding skills while gaining insights into the financial aspects of investment analysis. Students and Graduates: Description: Undergraduate and graduate students in finance, economics, computer science, or related fields seeking to augment their academic knowledge with practical coding skills. Value Proposition: The course serves as a valuable supplement to academic studies, offering practical applications of both Python programming and financial concepts, preparing students for real-world challenges. Entrepreneurs and Investors: Description: Entrepreneurs and individual investors interested in managing their portfolios more effectively through data-driven decision-making. Value Proposition: By acquiring skills in Python programming and portfolio performance analysis, entrepreneurs and investors can gain a deeper understanding of their investment strategies, leading to more informed financial decisions. Key Features for All Learners: Practical Application: The course emphasizes hands-on coding exercises, ensuring learners can immediately apply their newly acquired skills to real-world scenarios. Comprehensive Learning: Detailed explanations of financial concepts and Python coding practices cater to learners with varying levels of expertise, making the course accessible and valuable to a broad audience. Career Advancement: Whether aiming to enhance current roles, explore new career paths, or simply deepen skills, learners will find value in the course's potential to advance their careers in finance and analytics. Note: While the course is designed to accommodate various experience levels, a basic understanding of Python fundamentals is recommended to maximize the learning experience.
Homepage
Code:
https://www.udemy.com/course/python-for-financial-management-and-investment/
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