Python 102: Introduction to Data Analysis


Stack Overflow data indicates the increasing use of Python. Possibly spurred by its data science friendliness - a couple decades worth of scientific packages have made Python an incredibly productive and versatile.

This beginner course will guide you through the core libraries in PyData ecosystem: Numpy, Pandas, and matplotlib(optional). By taking the course, you will be familiar with the fundamental data analysis methods in Python using NumPy and Pandas.

What you will learn:

  • Understand the data analysis ecosystem in Python.

  • Learn how to use the pandas data analysis library to analyze data sets

  • Analyze real datasets to better understand techniques for data analysis

  • Create basic plots of data using MatPlotLib (bonus)

Course Syllabus:

Part 1 Python Data Analysis Libraries

  • Data Analysis Components

  • Data Analysis Steps

  • Python Data Analysis Libraries

Part 2 Numpy Overview

  • Array

  • Functions

  • Selecting and Slicing ,Filtering Array

  • Transforming Array

Part 3 Data Analysis with Pandas

  • Data structure

  • Import/Export Data - CSV, Excel, Internet

  • Data cleaning

  • Data manipulation

Part 4 Data Visualization with Matplotlib & Seaborn(bonus)

Who Should Attend?

  • Those are interested in learning data analysis.

  • Analysts who want to better understand a technical approach to analyzing data.


  • Students should know how to run, at a minimum, basic program in python.

About the Instructor:

Ocean Li Haiyang has 7 years’ of experience writing Python code. Currently working as a software engineer in an investment bank, he helps to build the corporate in-house risk management system. To meet the requirements of the front office user, the job entails trade capturing, risk & regulation reports generation/automation, market data retrieving, time series analysis and visualization. As a senior developer, he is also required to teach Python Foundations to junior developers.

Sat Mar 31, 2018
9:30 AM - 5:00 PM SGT
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137 Cecil Street, # 09-01
Standard SOLD OUT $100.00
1+1 Tickets SOLD OUT $180.00
Venue Address
137 Cecil St, Singapore 069537 Singapore
CodingGirls Singapore

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