Learn Big Data Wrangling with Python
Interested in learning how you can use Python for data wrangling? Sick of using Excel, SQL or always wanted to learn Python data analysis? If you are a developer or someone with some basic knowledge of Python, you can also learn to be a data wrangler.
In this class we'll dive deep into data analysis with pandas, learn how to use Python automation tools for data wrangling and cover an introduction to some Big Data principles, libraries and use cases.
NOTE: Although much of the curriculum is written, I like to vary it for each class depending on the interest and level of the attendees, so make sure you fill out the questionaire form and please let me know directly if you have any special curriculum requests.
About you:
You know beginner to intermediate Python. You know beginner to intermediate data analysis. If you are already a pandas and big data expert, this class is NOT for you (but I'd love to meet you, I'm sure you're great!). If you are interested in the course and have never used Python, please take one of the many free and available introduction to Python courses. (Try codeschool or codeacademy to start, feel free to look at more, feel free to message with any problems you run into)
About me:
I've been using Python since 2008, first for data wrangling and web development (journalism), now for data wrangling and big data analysis (marketing). I have taught many successful Python classes on topics ranging from web scraping, web development and data analysis.
Invoicing / Payment as a business or individual: If you'd rather order a ticket as a business, have your work cover your payment or pay via invoice (net 15), please reach out directly (katharine at kjamistan dot com) or via the questionnaire and I will invoice you via my company.
If you have any questions about the course, what we will cover, what type of computer to bring, what you need installed, learning pace or literally anything else regarding the course, please reach out directly via email (katharine at kjamistan dot com) or on twitter (@kjam).
I look forward to working with you and happy Pythoning!
P.S. there will be "pre-homework" so please make sure my emails are not ending up in your spam! If you have signed up and haven't heard from me in 24 hours, check your spam folder.
Interested in learning how you can use Python for data wrangling? Sick of using Excel, SQL or always wanted to learn Python data analysis? If you are a developer or someone with some basic knowledge of Python, you can also learn to be a data wrangler.
In this class we'll dive deep into data analysis with pandas, learn how to use Python automation tools for data wrangling and cover an introduction to some Big Data principles, libraries and use cases.
NOTE: Although much of the curriculum is written, I like to vary it for each class depending on the interest and level of the attendees, so make sure you fill out the questionaire form and please let me know directly if you have any special curriculum requests.
About you:
You know beginner to intermediate Python. You know beginner to intermediate data analysis. If you are already a pandas and big data expert, this class is NOT for you (but I'd love to meet you, I'm sure you're great!). If you are interested in the course and have never used Python, please take one of the many free and available introduction to Python courses. (Try codeschool or codeacademy to start, feel free to look at more, feel free to message with any problems you run into)
About me:
I've been using Python since 2008, first for data wrangling and web development (journalism), now for data wrangling and big data analysis (marketing). I have taught many successful Python classes on topics ranging from web scraping, web development and data analysis.
Invoicing / Payment as a business or individual: If you'd rather order a ticket as a business, have your work cover your payment or pay via invoice (net 15), please reach out directly (katharine at kjamistan dot com) or via the questionnaire and I will invoice you via my company.
If you have any questions about the course, what we will cover, what type of computer to bring, what you need installed, learning pace or literally anything else regarding the course, please reach out directly via email (katharine at kjamistan dot com) or on twitter (@kjam).
I look forward to working with you and happy Pythoning!
P.S. there will be "pre-homework" so please make sure my emails are not ending up in your spam! If you have signed up and haven't heard from me in 24 hours, check your spam folder.