In this Professional Certificate, learners developed and honed hands-on skills in Data Science and Machine Learning. Learners started with an orientation of Data Science and its Methodology, became familiar with and used a variety of data science tools, learned Python and SQL, performed Data Visualization and Analysis, and created Machine Learning models. In the process, they completed several labs and assignments on the cloud including a Capstone Project at the end to apply and demonstrate their knowledge and skills.

By completing this Professional Certificate learners have grasped a firm understanding of what is AI and its applications. They have become familiar with Watson AI services and have applied their skills to build AI applications like intelligent virtual assistants. Furthermore, they have demonstrated a practical understanding of Machine Learning and Deep Learning techniques using Python. They have honed their AI skills by performing numerous hands-on exercises and built AI models with modern tools and frameworks like Jupyter notebooks, Watson APIs, Scikitlearn, Keras, PyTorch, and Tensorflow. They have completed several projects showcasing their proficiency in Machine Learning and Deep Learning and are ready to take on the challenges of a career in Applied AI.

This IBM Professional Certificate is earned after completing 8 certifications on various topics in Data Analytics. The learner understands the core principles of data analysis and has worked hands-on with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Relational Databases, Python, Jupyter Notebooks, and Cognos Analytics, gaining practical experience with data manipulation, data analysis, and data visualization. The earner of this Certificate has demonstrated proficiency in applying different analytical techniques by analyzing real-world datasets, creating visualizations & interactive dashboards, and presenting reports to share findings of data analysis, and is now equipped with skills for an entry-level role in data analytics.

Machine Learning is one of the most in-demand skills for jobs related to modern AI applications, a field in which hiring has grown 74% annually for the last four years (LinkedIn). This Professional Certificate from IBM provides evidence that the above-named individual developed skills in Machine Learning: Unsupervised Learning, Supervised Learning, Deep Learning, and Reinforcement Learning; including Time Series Analysis and Survival Analysis. This program consisted of 6 certifications providing a solid theoretical understanding and considerable practice of the main algorithms, uses, and best practices related to Machine Learning.