Data Science & Machine Learning

The rigorous use of data is now increasing in nearly all professional roles. It is proven to have a huge impact on productivity, decision making, and even reducing employee stress levels, because problems can be solved faster and easier with the right data. Learn how Hitachi Ventara uses Minitab no- and low-code solutions to empower everyday professionals to use predictive analytics and machine learning.

You can’t spell data science without the data, which tells you that if you can’t access your data, you can’t analyze it! Once you have your data, integrating and prepping it for analysis is what truly sets you up for success. Minitab enables business users the ability to access, integrate, and prepare their data for data exploration and analysis.

Unlike most data science solutions, Minitab enables analysts to explore their data through visualizations and preliminary analyses before jumping into predictive modeling. As the market leader in statistical analysis, we offer data scientists the ability to use tools like descriptive statistics and visualizations to both better understand their data and collaborate with colleagues.

Minitab offers proven and proprietary algorithms for predictive modeling and machine learning. By providing traditional methods, like regression analysis,  and more advanced machine learning, like proprietary methods such as MARS^® (Multivariate Adaptive Regression Splines), the best tree-based methods such as Classification and Regression Trees, better known as CART^® , Random Forests^® , and gradient boosting, better known as TreeNet^® .

Feature engineering has recently resurfaced as a “hot topic” in the world of data analytics, as it is a critical process that supports successful machine learning and predictive analytics. As you read more about feature engineering, you might also recognize it as a fundamental data process, known as data manipulation, pre-processing, or normalization. Learn about the basics and significance of feature engineering and how you can successfully implement some of the most common feature engineering techniques for your organization with Minitab solutions.

Minitab’s Automated Machine Learning helps identify the best predictors and/or best model to ensure that you’re using the most useful algorithm to provide the best predictions. 

Minitab integrates with both R and Python, allowing an avenue for easily running custom code via a button in the Minitab interface. By providing no code software that integrates with open source, Minitab enables collaboration across your entire organization.