As a data engineer in an online recruiting tech company or a large organization’s HR department, you’ll build a series of practical tools to process and extract useful information from unstructured text data using NumPy. You’ll learn important methods (including trie data structure, TF-IDF, SVD), how to implement them, and their applications in the real world. When you’re finished, you’ll have the know-how to build data processing tools that meet the needs of machine learning engineers, data analysts, and product developers.

Master the basic methods for handling most real-world scenarios as you play the role of a data scientist in an online recruiting tech company or a large organization’s HR department. Using pandas, you’ll process, extract, and transform numerical, categorical, time series, and text data into structured features that are ready for data analysis and ML model training. When you’re done, you’ll have hands-on experience working with most data types you’ll find in the real world, as well as useful skills for extracting and engineering features.

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.

As a machine learning engineer in an online recruiting tech company or HR department of a large organization, your task is to address a lack of data, a common problem in data science projects. To solve this, you’ll create multiple tools to augment processed data, increasing its volume and learning essentials about probability distributions, random sampling, and OOP. Completing this project will enhance your data analysis and visualization skills, taking you further down the path to a career in data science.