96012 - Introduction to Python for Data Science

Course Overview

Learn core Python concepts and understand how to use the language as it relates to data science.

5-Day Course - Live Online Training

This Python course focuses specifically on data science. Throughout the course, you will practice the basics, learn more advanced techniques, and finish with a project to put all your newfound knowledge to use. In 5 days (5 – 6 hours per day) you can get started and polish your Python abilities for data science and analysis.

View the Course Curriculum

What You'll Learn

• Data Loading, Storage and File Formats: We will teach you how to gather data from various sources, explore Python data structures, and work with different file formats.
• Data Handling Techniques: You will be introduced to Python’s powerful data handling techniques to get the information you need.
• Data Wrangling: You will learn how to preprocess data to get it ready for analysis. This includes data cleaning, reshaping, merging, and applying transformations.
• Aggregation and Grouping: You will learn about Python’s powerful data aggregation and grouping techniques and how to use them to get useful insights from data.
• Data Exploration: We will teach you how to dissect data to uncover useful insights and present them with different visualization techniques.
• Intro to Restful API: You will learn how to use RESTful API to communicate with websites like Twitter and Reddit to scrape data.
• Data Pipelines in Python: We will use our scraped data, along with other data loading, cleaning, and exploration techniques, to build an end-to-end data pipeline.
• Python Project: Students will work on a final project to apply their data science skills to solve a real-world problem.

By the end of the course, students will be able to:

• Use Python libraries such as Numpy, Pandas and Matplotlib for data analysis
• Build, evaluate, fine-tune and implement end-to-end data analysis pipelines in
• Python Explore and visualize data to identify trends and support data-driven decision making
• Articulate key findings from data analysis to recommend solutions for business problems

Additional Information

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