Badge Directory

Data Science for Business - Level 2

This badge earner understands the concepts of data privacy, digital analytics and regression, and predictive modeling.

Data Analysis with Python

This badge earner has the core skills in Data Analysis using Python. They can readily clean, visualize and summarize data using Pandas. Using Scikit-learn, the earner can develop Data Pipelines,...

Tech Data - Statistical Analysis Using IBM SPSS Statistics...

The badge holder has demonstrated skills that are required to use and leverage the statistical component of IBM SPSS, including activities such as: test hypotheses about individual variables; test the...

Machine Learning with Python

The badge earner has demonstrated a good understanding and application of machine learning (ML) including when to use different ML techniques such as regression, classification, clustering and...

Regression

Through self-paced learning, this badge earner has completed the skill learning journey on topics such as linear regression, evaluation of linear regression models, root mean squared error, and using...

Deep Learning with Tensorflow

This badge earner can explain foundational TensorFlow concepts such as the main functions, operations and the execution pipelines, and how TensorFlow can be used in curve fitting, regression,...

IBM AI Engineering Professional Certificate

This badge earner has demonstrated proficiency in Machine Learning (ML) and Deep Learning (DL). The earner understands various ML techniques such as regression, classification, clustering &...

Introduction to Time Series Analysis Using IBM SPSS Modeler...

This credential earner has completed instructor-led learning for understanding a set of procedures for analyzing time series data. This includes: forecasting using a variety of models including...

Deep Learning using TensorFlow

This badge earner has an understanding of essential concepts, functional attributes, operational considerations and the execution pipeline when using TensorFlow. This includes how TensorFlow can be...

Sectoral Analytics for HR - Essentials

This badge earner has gained deeper insights on how to apply analytics for the HR domain. They understand the basics of how to apply HR analytics to use an organization's wealth of employee data to...

Regression

Through self-paced learning, this badge earner has completed the skill learning journey on topics such as linear regression, evaluation of linear regression models, root mean squared error, and using...

Machine Learning with Python

This credential earner understands the basics of machine learning using Python such as: Distinguishing the difference between the two main types of machine learning methods: supervised & unsupervised;...

Deep Learning with TensorFlow

This credential earner is able to explain foundational TensorFlow concepts such as the main functions, operations and the execution pipelines. They can describe how TensorFlow can be used in curve...

IBM AI Engineering Professional Certificate (V2)

This badge earner has demonstrated proficiency in Machine Learning (ML) and Deep Learning (DL). The earner understands various ML techniques such as regression, classification, clustering and...

Analyzing Data with R

This earner knows how to prepare data for analysis by handling missing values, formatting & normalizing data, binning & turning categorical values into numeric values. They can conduct exploratory...

Apache Spark for Data Engineering and Machine Learning

This credential earner can describe the following: the features, benefits, limitations & application of Apache Spark Structured Streaming, graph theory, & how GraphFrames benefit developers. They can...

Data Engineering and Machine Learning using Spark

This badge earner can demonstrate a foundational knowledge of data engineering and machine learning using Spark. They can define unsupervised learning, with a focus on clustering, and can apply the...

R Data Science Capstone Project

This credential earner has demonstrated proficiency in Data Science with R. They can collect and understand data from multiple sources, conduct data wrangling and preparation with Tidyverse, perform...

Data Science with R - Capstone Project

This credential earner has demonstrated proficiency in Data Science with R. They can collect and understand data from multiple sources, conduct data wrangling and preparation with Tidyverse, perform...

Statistics for Data Science using Python Essentials

This credential earner is able to: calculate & apply measures of central tendency & measures of dispersion to grouped & ungrouped data; summarize, present, & visualize data in a way that is clear,...