dj-khandelwal / datax Goto Github PK

Link to course website & syllabus

• Faculties: Ikhlaq Sidhu and Arash Nourian

• GSIs: Ming-Yen Kao, Johann Schleier-Smith, Shunan Jiang

• Course Coordinator: Alexander Blake

This is the official Github repository for the Data-X class at UC Berkeley

• Data-X Official Website

• Data-X Advsiors

• Data-X Resources

• Data-X Completed Projects

• Data-X Project Suggestions

• Course Announcements

To download this Github repository just press the green Clone or Download button to the top right.

You can view all material in this repository through Binder: Link

Here is a compiled list of resources which with you can view the material. Using these resources may involve creating an account. To view the material through a virtual environment, check out the resources below:

• Repl.it offers an in-browser IDE where you can copy and paste Python code to try out. You can either download code onto the site or load code from your Github repo.
• PythonAnywhere is a place where you can host, run and code Python in the cloud. You may pay extra to load a Jupyter Notebook environment.
• Binder turns a Git repo into a collection of interactive notebooks. After forking the repo, you can copy and paste the URL, and Binder will create a reusable link which allows you to access the material in an interactive environment on your browser.

To download the material to your computer please Install git and use the Terminal / Command Prompt to clone the repository.

git clone https://github.com/ikhlaqsidhu/data-x.git

Every time the repository is updated, to get the most recent version, cd to the cloned data-x folder and run:

git pull

For more information about Version Control, git, and Github please read this excellent guide: Introduction to git and Github

• Ikhlaq Sidhu: sidhu @ berkeley edu (LinkedIn)
• Arash Nourian: nourian @ berkeley edu (LinkedIn)

Today, the world is literally reinventing itself with Data and AI. However, neither leading companies nor the world’s top students have the complete knowledge set to participate in this newly developing world. This course provides the tools and understanding to boost any student’s ability to create the emerging data applications of the future. This bootcamp is suitable for individuals interested in hands-on practical understanding of data science and application opportunities in new ventures, industry project areas, and potential support of research with data technologies.

The Data-X course is a high paced immersion into data and data science principles in a uniquely practical approach. The program contains theory segments, code samples in Python and in Jupyter Notebooks, and a real-life wide ranging project that can be started with guidance for instructors. The course includes a real life code development project.

List of Dependencies:

• Python 3
• Jupyter
• Anaconda
• NumPy
• Pandas
• Matplotlib
• Scikit-Learn
• TensorFlow
• Keras

• Alexander Fred-Ojala: afo @ berkeley edu (LinkedIn)

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