Data Science Courses

BI Foundations with SQL, ETL and Data Warehousing Specialization

Prepare yourself for your initial position in business intelligence. Develop the essential competencies required to initiate a career in business intelligence (BI) within two months. There is no prerequisite for a degree or prior experience.

Tools for Data Science

This AI course delineates the Data Scientist's toolkit, instructs students in Python, R, and SQL, investigates RStudio and Jupyter notebooks, and discusses Git and GitHub for source code administration.

ML Rapid Prototyping with IBM Watson Studio

This AI course instructs data scientists on the development of automated algorithms using Watson Studio's AutoAI, with an emphasis on hyperparameter optimization, feature engineering, and model selection.

Visual ML with Yellowbrick

This course instructs students on the Rhyme platform of Coursera, where they will evaluate random forest classifiers using Yellowbrick, address class imbalance, and conduct feature analysis with regression, cross-validation, and hyperparameter optimization.

DevOps, DataOps, MLOps

It pertains to the development of operations pipelines that employ the principles and practices of DevOps, DataOps, and MLOps for the development and deployment of models.

ML: an overview

The topics of this AI course include the optimization of policies in reinforcement learning, the utilization of dimensionality reduction in unsupervised learning, and the classification and definition of constraints in supervised learning.

Interpreting ML datasets

This 2-hour project-based course will instruct you on the interpretation of the dataset for machine learning, the impact of various features on a mode, and the evaluation of these features.

Deep Learning for Healthcare

Neural Networks in the Field of Applied Medicine. Discover the most advanced techniques in Deep Learning for Medical Applications.

ML Regression

Master regression by predicting house prices, investigate regularized linear regression, manage extensive feature sets, and employ optimization algorithms to make precise predictions with large datasets.

Understanding Data: Navigating Statistics, Science, and AI Specialization

Confidently navigate the realm of data. Acquire the necessary skills in AI, scientific reasoning, and data analysis to facilitate informed decision-making.

Prompt Engineering Specialization

Master Generative AI to improve productivity, automate tasks, and enhance creativity in real-world applications. Develop practical skills, from foundational knowledge to advanced prompt engineering.

Probabilistic Graphical Models Specialization

Acquire a novel approach to learning and reasoning in intricate fields.