Data Science using Python
Data Science
In this 2-day workshop, you will venture into the world of Data Science! You will learn how you can use the various libraries and tools with Python to turn your data into your most valuable assets!
Trainer Wei- Meng Lee
In this 2-day workshop, you will venture into the world of Data Science! You will learn how you can use the various libraries and tools with Python to turn your data into your most valuable assets!
Python is a high-level programming language that is widely in use today. Python code is highly readable, and its syntax ensures programmers write code that is properly-indented and clear. Python is supported on most platforms and is well suited for a wide variety of tasks –ranging from automating your daily platform tasks, to running as a standalone Web Server.
o Using the Scientific Libraries in Python (SciPy)o NumPy
- NumPy is a Python extension module that provides efficient operation on arrays of homogeneous data
o Matplotlib
- Matplotlib is a mature and popular plotting package that allows you to create 2D and 3D plotting
o Pandas
- Pandas provides high-performance and easy to easy to use data structures
o IPython
- IPython provides a rich interactive interface, letting you quickly process and test ideas
o Implementing Data Visualization
- Displaying Linear, Bar, and Pie Charts
o Performing Data Analysis
Basic programming experience
Understanding of basic object-oriented programming concepts
Hardware : Mac / Windows laptop
Software : Anaconda
Wei-Meng Lee is a technologist and founder of Developer Learning Solutions (http://www.learn2develop.net), a technology company specializing in hands-on training on the latest mobile technologies. Wei-Meng has many years of training experiences and his training courses place special emphasis on the learning-by-doing approach. His hands-on approach to learning programming make understanding the subject much easier than reading books, tutorials, and documentations. His name regularly appears in online and print publications such as DevX.com, MobiForge.com, and CoDe Magazine.