Advanced Data Science with IBM Specialization

Colleagues, the Advanced Data Science with IBM Specialization equips you with Massive parallel  data processing, data exploration and visualization, and advanced  machine learning and deep learning.will have a proven deep understanding on massive parallel  data processing, data exploration and visualization, and advanced  machine learning & deep learning. You'll understand the  mathematical foundations behind all machine learning & deep learning  algorithms. You can apply knowledge in practical use cases, justify  architectural decisions, understand the characteristics of  different algorithms, frameworks & technologies & how they  impact model performance & scalability. If you choose to take this specialization and earn the Coursera specialization certificate, you will also earn an IBM digital badge.To find out more about IBM digital badges follow the link ibm.biz/badging. Training modules include: 1) Fundamentals of Scalable Data Science - learn  the fundamentals of Apache Spark using Python and PySpark, 2) Advanced Machine Learning and Signal Processing -  invaluable insights into Supervised and Unsupervised Machine Learning Models used by experts in many field relevant disciplines. We’ll learn about the fundamentals of Linear Algebra to understand how machine learning modes work. Then we introduce the most popular Machine Learning Frameworks for python Scikit-Learn and SparkML, 3) Applied AI with DeepLearning - insights into Deep Learning models used by experts in Natural Language Processing, Computer Vision, Time Series Analysis, and 4) Advanced Data Science Capstone -  a deep understanding on massive parallel data processing, data exploration and visualization, advanced machine learning and deep learning and how to apply his knowledge in a real-world practical use case.

Register today (teams & execs welcome): https://tinyurl.com/mrxdyer2 

Much career success, Lawrence E. Wilson -  Online Learning Central