Applied Financial Investment Analysis Using R and Tidyquant: A Hands-On Approach

Description

Unlock the power of R for financial data analysis in this comprehensive course covering statistics, data visualization, time series analysis, and machine learning.

With this all-in-one course, you won’t need to seek out other resources on R-based data analysis or invest in expensive books. By mastering financial data analysis in R, you’ll gain a competitive advantage for your company and propel your career to new heights.

Learn from a Seasoned Data Scientist with 5+ Years of Experience:

Hi, I’m Minerva Singh, an Oxford University MPhil graduate in Geography and Environment, and I recently completed my PhD at Cambridge University. With over 5 years of expertise in analyzing real-life data using data science techniques, I have contributed to numerous publications in international peer-reviewed journals.

Unlike many other instructors, my focus is on the multidimensional nature of data science, diving deep into R’s data science features to provide you with a unique grounding in the subject!

In just 3 hours, this course will introduce you to the essential R packages for obtaining, cleaning, visualizing, and analyzing financial data to make data-driven decisions for yourself or your company.

Key Highlights:

• Obtain long-term stock market data from platforms like Yahoo and Quandl.
• Master visualizing temporal financial data and creating clear graphs and visualizations.
• Implement standard analysis techniques, including moving averages and the Sharpe ratio.

Begin with the most valuable R Data Science basics and techniques, presented in easy-to-understand, hands-on methods that demystify even the most complex concepts in the R Programming Language.

Gain confidence in implementing REAL DATA methods from various sources, setting this course apart from those relying on made-up data that lacks practical application.

Upon completion, you’ll confidently navigate common time series and financial analysis packages in RStudio, understand the underlying concepts, and select the best algorithms and methods for your data.

Join us as we work with real data, and you’ll have access to all the code and data used throughout the course.

Who this course is for:

• Anyone Who Wants To Become Proficient In Financial Data Analysis Working With Real Life Data
• Anyone Who Wants Master Financial Data Analysis In RStudio
• Anyone Who Wants To Become An Expert Financial Data Scientist