Data Visualization for Exploratory Analysis you own this product

prerequisites
basic Python (Jupyter Notebook, Matplotlib, pandas) • basics of machine learning and exploratory data analysis (EDA) • basics of interactive data visualization
skills learned
data visualization with Matplotlib • build interactive data dashboards • solve business problems with data insights
Ruihao Qiu
1 week · 2-4 hours per week · INTERMEDIATE
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Look inside

Visualize this: you’re a data analyst in an online recruiting tech company or a large organization’s HR department. You’ll use Matplotlib to explore, visualize, and analyze processed data to identify missing data and outliers. You’ll build interactive plots for superior data presentation, analyze the correlation of different features using visualization methods, and create analytics dashboards for two types of users. By the end, you’ll be a better data analyst and have the skills to build storytelling tools that let you answer important business questions.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Ruihao Qiu

Ruihao Qiu is the senior data scientist at a German tech company and has more than five years experience in data science and machine learning. As part of the process of earning his PhD in statistical physics, he developed statistical models to simulate and search for new nanomaterials. In his early days as a data science consultant, he helped his clients from DAX30 multinational companies solve real-world data challenges. As a senior data scientist, he designed and built data pipeline and ML recommender systems for online recruitment applications. He enjoys taking on different career roles and sharing ideas about his data science work in tech blogs and in public presentations.

prerequisites

This liveProject is for Python beginners who are interested in improving their data analysis and visualization skills. To begin these liveProjects you’ll need to be familiar with the following:

TOOLS
  • Basic Python
  • Basic Jupyter Notebook/JupyterLab
  • Intermediate pandas
  • Basic plotting in Matplotlib
  • Basic knowledge of plot types
  • Basic statistics knowledge

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