Tensorflow Deep Learning - Data Science in Python

Course Overview

What does this course tell?
(Please note that the following overview content is from Alison)
This 7-Hour Python Tensorflow Data Science Boot Camp is a complete guide to practical data science using the Tensorflow framework in Python. It covers all aspects of data science with Tensorflow, from statistical modelling and data visualization to machine learning and deep learning. With this course, you can do away with taking other courses or buying books on Python Tensorflow based data science. It is taught by Minerva Singh, an Oxford and Cambridge graduate with several years of experience in analyzing real life data. The course covers topics such as Python Data Science, Jupyter notebooks, Tensorflow installation, Pandas and Numpy, Tensorflow syntax and graphing, statistical modelling, supervised and unsupervised learning, and creating artificial neural networks and deep learning structures. It is a practical, hands-on course, with real data obtained from different sources. After taking this course, you will be able to apply Python based data science on real data and impress potential employers with actual examples of your data science abilities.

We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
By taking this course, students will acquire skills and knowledge in Python Data Science, Tensorflow installation, Jupyter notebooks, Pandas and Numpy, Tensorflow syntax and graphing environment, statistical modelling, machine learning, supervised and unsupervised learning, artificial neural networks, deep learning structures, Convolution Neural Network (CNN), and real data analysis. They will also gain fluency in Tensorflow and be able to apply Python based data science on real data into practice.
lHow does this course contribute to professional growth?
This course provides a comprehensive introduction to Python Tensorflow Data Science, covering all aspects of practical data science with Tensorflow. It is designed to help professionals gain a robust grounding in all aspects of data science within the Tensorflow framework, and to equip them with the skills to apply Python based data science on real data into practice. Through this course, professionals will learn statistical modelling, data visualization, machine learning, and basic deep learning using the Tensorflow framework in Python. This course will help professionals to gain fluency in Tensorflow, and to create artificial neural networks and deep learning structures with Tensorflow. It is a practical, hands-on course, and upon completion, professionals will be able to impress potential employers with actual examples of their data science abilities.

Is this course suitable for preparing further education?
This course is suitable for preparing further education in Python Tensorflow based data science. It provides a comprehensive introduction to the Python language, Tensorflow framework, and data science techniques such as statistical modelling, machine learning, supervised learning, and unsupervised learning. It also covers deep learning models such as convolution neural networks. The course is designed to help students gain fluency in Tensorflow and apply data science techniques to real data.