Advanced Data Science with IBM

Embark on a comprehensive journey into data science, machine learning, and AI with IBM's Advanced Data Science specialization. This Coursera-certified program offers a deep understanding of massive parallel data processing, data exploration, visualization, and advanced machine learning, as well as deep learning algorithms.

Throughout the course, you'll delve into the mathematical foundations behind various machine learning and deep learning algorithms, gaining practical knowledge that can be applied in real-world scenarios. The curriculum includes modules focused on fundamental statistical measures, data visualization, supervised and unsupervised machine learning models, deep learning frameworks, and signal processing.

By completing this specialization, you'll be equipped to justify architectural decisions, understand the impact of different algorithms, frameworks, and technologies on model performance and scalability, and apply your knowledge to practical use cases. As a bonus, successful completion not only earns you a Coursera course certificate but also an IBM digital badge, showcasing your expertise in the field.

Throughout the four modules, you'll have the opportunity to work with technologies such as Apache Spark, Python, Jupyter notebooks, Scikit-Learn, SparkML, and popular deep learning frameworks like Keras, TensorFlow, and PyTorch. The program is designed to be accessible to individuals with basic programming skills, math knowledge, and an interest in data science, making it suitable for aspiring data engineers and those looking to advance their careers in data science.