Data science is a fast-growing and dynamic field that requires constant learning and updating
Data science is the art and science of extracting insights from data using various methods, tools, and algorithms. It is a multidisciplinary field that combines mathematics, statistics, computer science, domain knowledge, and communication skills. Data science has applications in various domains such as business, healthcare, education, social media, and more.
Machine Learning with TensorFlow on Google Cloud Platform: This course will teach you how to use TensorFlow, one of the most popular frameworks for machine learning, to build scalable and robust machine learning models on Google Cloud Platform. You will learn how to use TensorFlow APIs, tools, and services to create, train, deploy, and monitor machine learning models.
Deep Learning Specialization: This course will teach you the foundations of deep learning, one of the most advanced and powerful branches of machine learning. You will learn how to build deep neural networks using Python and frameworks such as Keras and PyTorch. You will also learn how to apply deep learning to various domains such as computer vision, natural language processing, speech recognition, generative models, and more.
Natural Language Processing Specialization: This course will teach you how to use natural language processing (NLP), one of the most exciting and challenging fields of data science, to analyze and generate natural language texts. You will learn how to use NLP techniques such as tokenization, stemming, lemmatization, part-of-speech tagging, named entity recognition, sentiment analysis, text summarization, machine translation, question answering, chatbots, and more.
Computer Vision Nanodegree: This course will teach you how to use computer vision (CV), one of the most impactful and innovative fields of data science, to understand and manipulate visual data. You will learn how to use CV techniques such as image processing, feature extraction, object detection, face recognition, segmentation, optical character recognition (OCR), augmented reality (AR), self-driving cars, and more.
Data Engineering Nanodegree: This course will teach you how to use data engineering (DE), one of the most essential and in-demand fields of data science, to design, build, and maintain scalable and reliable data pipelines and systems. You will learn how to use DE tools and technologies such as SQL, NoSQL, Hadoop, Spark, Airflow, Kafka, Docker, Kubernetes, and more.
