Data Scientist with Python (Career Track)

In this track, I learnt how to import, clean, manipulate, and visualize data—all integral skills. Through interactive exercises, I got hands-on with some of the most popular Python libraries, including pandas, NumPy, Matplotlib, and many more. I worked with real-world datasets to learn the statistical and machine learning techniques you need to train decision trees and use natural language processing (NLP), improved Python skills, and my journey to becoming a confident data scientist.

Projects

• Analyzing TV Data
• Dr. Semmelweis and the Discovery of Handwashing
• A Visual History of Nobel Prize Winners
• The Android App Market on Google Play
• The GitHub History of the Scala Language
• Predicting Credit Card Approvals

Deep Learning Specialization

This Specialization helped me become good at Deep Learning. There are five courses cover Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more.

Courses in this Specialization

• Neural Networks and Deep Learning
• Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
• Structuring Machine Learning Projects
• Convolutional Neural Networks
• Sequence Models

Natural Language Processing Specialization

This Specialization is designed and taught by Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Ands Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper.

Courses in this Specialization

• Natural Language Processing with Classification and Vector Spaces
• Natural Language Processing with Probabilistic Models
• Natural Language Processing with Sequence Models
• Natural Language Processing with Attention Models

Machine Learning with Python

This is a Machine Learning course offered by IBM.

• Topic: Regression, Classification, Clustering, Sci-kit learn and SciPy
• Projects: Cancer detection, predicting economic trends, predicting customer churn, recommendation engines, and many more.