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Python with Power BI: Analyzing Financial Data

Offered By: Coursera Project Network via Coursera

Tags

Microsoft Power BI Courses Data Visualization Courses Python Courses Cryptocurrency Courses Stocks Courses Financial Data Analysis Courses

Course Description

Overview

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In this project, we will create a Financial dashboard for assets like stock and crypto. The dashboard will be dynamic in nature meaning you will be able to get important information and graphs about any stock just by replacing the ticker symbol without ever leaving Power BI. The project begins with you importing real-time financial data from Yahoo Finance using Python libraries. You will harness the power of Python libraries and custom visuals in Power BI to visualize the data, creating approximately 10 different charts and graphs to analyze price and volume movement. This will be very helpful if you work in Finance or need to present Financial data to clients. Currently, financial websites provide limited visualizations. By using Python with Power BI, you can present financial data to clients in a far better way than currently available on internet. You can add tremendous value by incorporating python with Power BI.

Syllabus

  • Project Overview
    • By completing this project, you will achieve a strong proficiency in utilizing Power BI for advanced data visualization techniques with Python. You will be able to create captivating visualizations and overcome the limitations of the default visuals offered by Power BI by generating hundreds of visualizations. Additionally, you will acquire the skills to import real-time financial data effortlessly from within Power BI, eliminating the need to switch between different platforms. The project focuses on creating a dynamic Financial dashboard for assets like stocks and cryptocurrencies, allowing you to obtain essential information and graphs by simply replacing the ticker symbol. By combining Python with Power BI, you can deliver financial insights in a more comprehensive and valuable manner than what is currently available online.

Taught by

Abhishek Jha

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