What is the secret to accurate predictive modeling?
Many predictive models aren’t always on point, maybe due to not learning SAS programming the right way, which leads to poor data mining and consequently inaccurate training of your models.
This inaccuracy also often stems from a poor understanding of the different algorithms available, which may lead you to choose a non-ideal algorithm for your model.
Consequently, you need the best predictive analytics courses to learn how to choose optimal algorithms and design accurate predictive models.
Moreover, you’ll also learn data mining best practices in Python, R, and SAS, so you can rely on quality data for forecasting purposes, in addition to mastering big data analytics with PySpark, MongoDB, and understanding how to use business intelligence tools like Power BI.
In this article, we’ll discuss the best predictive analytics courses & certifications online in 2022 for powerful and accurate predictive analytics.
Let’s get started.
Are you familiar with SAS and SAS studio?
Then I suggest you take the 1. Logistic Regression using SAS – In-depth Predictive Modeling training on Udemy by Gopal Prasad. It is one of the best predictive analytics courses to learn data treatment and how to build logistic regression models that you could use for credit scoring.
Conversely, if you have some Python programming experience, you’ll want to consider the 2. Python Data Products for Predictive Analytics Specialization on Coursera by the University of San Diego. When it comes to using Python’s machine learning libraries for data visualizations and predictive modeling, it’s easily among the best predictive analytics courses and certifications online.
R is an important language for statistical analysis and predictive analytics, so you may want to take a look at my review of the best R programming courses online to get a head start on mastering predictive analytics.