Python for Data Science & Data Visualization Python is a must for data scientists as it is the most popular programming language used for data analysis and building machine learning models. A data science project can be completed entirely in Python, using packages such as Pandas, Numpy, scikit-learn, and matplotlib. One aspect of Python that…
What is Python? Python is a versatile, open-source programming language that is commonly used for data science. It is flexible and has many applications due to its numerous packages: collections of functions and data that work together to achieve a specific task. Python is widely used for data science because there are several popular packages…
What is Data Visualization? Data visualization is the process of representing data in visual form, which could include charts, maps, and graphs. Data visualization is a great way to extract insights from your data, as it is easier to identify outliers, patterns, and trends compared to other analysis methods — such as observing the raw…
A Guide to Dashboards Dashboards are collections of charts, graphs, tables, and metrics that help us understand particular business scenarios. Importantly, dashboards may help us identify issues, highlight key messages, or establish root causes for problems. Ultimately the goal is to use the information presented to make quick and effective decisions to improve the performance…
What are the Benefits of R for Data Science? Some of the strongest use cases for R, a popular programming language that is widely used for data science and data analysis, have to do with the packages and tools that have been built around the language and that take advantage of its extensibility and open-source…
What is R? R is a popular programming language that is widely used for data science and data analysis. R is an open-source language, so it is free to use and can be extended with additional functionality. R was originally developed for statistical computing and generating graphics. R comes from the world of academia —…
Ready to put 2023 toward your finance career? Curious about which paths are right for you—and which skills you’ll need to go further? Or just have a burning career question you’re looking for expert guidance on? We’ve got you covered. Join Scott Powell, CFI Co-Founder and Chief Content Officer, for a free webinar and open…
The DAO Heist While many people might not know what it is, a DAO, or “decentralized autonomous organization,” is an extremely powerful, interconnected, and modern way for investors to make a difference in the world while capitalizing on businesses they believe in. Conceptually and financially, they represent a wellspring of great potential; however, a significant…
In the digital age, students are increasingly turning to online learning platforms to get the education they need. This has left many educational institutions scratching their heads. With so many students opting for a virtual education, how can the traditional model compete? The answer is that institutions don’t have to compete at all. By incorporating…
The Modern Finance Executive Finance executives are increasingly finding themselves in roles that aren’t solely defined by the margins of P&L statements. From chief financial officers to accounting managers, a skillset that was once primarily responsible for measuring dollars and cents is evolving to integrate analytics that assess different aspects of an organization’s health, as…
