Course Description
Python is one of the easiest coding languages. You can learn it online anytime, but you can’t have a real person to answer your questions nor guide you through the whole learning process.
Learning Python can certainly be challenging, and you are likely to have frustrating moments. Therefore, Xccelerate is here to provide you a free, instructor-led and step-by-step approach taster class to guide you on what could be done in Python.
You might ask: Why should I learn Python? How can Python boost my career?
Python can be used for a multitude of reasons. Top use cases of the practice include:
- Creating a lead generation engine with rich market data
- Monitoring approval ratings of brands by scraping reviews
- Conducting technical SEO audits with keyword analysis
- Building Machine Learning models with large data sets
- Conducting market research and analysis at scale
- Gathering feed data for end-to-end testing bots
- Collecting product information for price comparisons
- Analyzing social media data to understand what’s trending
- Collecting R&D data to carry out surveys and data analysis
- Curating data from multiple sources to create a unified platform
Do these reasons seem to solve the tasks that you have been doing manually for a long time? It’s time for you to learn something new, automate simple work tasks and work more effectively. What you can learn during a 1.5 hours instructor-led taster class
Course Overview
- Introduction to Python
- Possible career paths and how Python can help advance your job
- Data Type & Structures
- Hands-on Python Exercises
- Demo on Web Scraping
- Q&A Session
Language
English
Your Instructor
Daniel Vu is a passionate data engineer with relevant Python, R, SQL & Tableau work experience.
Graduating at the top of his class from Indiana University’s School of Informatics, Computing, and Engineering. Daniel is now an engineer at Clover Health, a San Francisco-based health tech company.
In his free time, he enjoys teaching his 8-year-old daughter basic programming principles in Python and has a knack for breaking down difficult concepts into easy-to-swallow pills.