AlphaZetta Academy

Advanced Python 1

This class builds on the introductory Python class. Jupyter Notebook advanced use and customisation is covered as well as configuring multiple environments and kernels.

The Numpy package is introduced for working with arrays and matrices and a deeper coverage of Pandas data analysis and manipulation methods is provided including working with time series data.

Data exploration and advanced visualisations are taught using the Plotly and Seaborne libraries.

See what former trainees are saying about AlphaZetta courses.

Additional Information

Audience Expert
This is a practical course, suitable for existing data-analysis practitioners in government and industry.
Prerequisites Students should have completed or have equivalent knowledge to the course Intro to Python for Data Analysis
Objective The objective of this course is to raise the Python skill level of practitioners, enhancing their Python skill for more serious data analysis, data manipulation time series analysis and more advanced interactive visualisation.
Format Class
Duration 2 days
Course Author Dr Eugene Dubossarsky
Trainer Courses are taught by Dr Eugene Dubossarsky and/or his hand-picked team of highly skilled instructors.
Delivery Method In-person at AlphaZetta Academy locations or on-premise for corporate groups.

Meals and refreshments

Catered morning tea and lunch are provided on both days of the course. Please notify us at least a week ahead if you have any special dietary requirements.

Feedback

Use academy@alphazetta.ai to email us any questions about the course, including requests for more detail, or for specific content you would like to see covered, or queries regarding prerequisites and suitability.

If you would like to attend but for any reason cannot, please also let us know.

Variation

Course material may vary from advertised due to demands and learning pace of attendees. Additional material may be presented, along with or in place of advertised.

Cancellations and refunds

You can get a full refund if you cancel 7 days or more before the course starts. No refunds will be issued for cancellations made less than 7 days before the course starts.

Frequently asked questions (FAQ)

Do I need to bring my own computer?

There’s no need to bring your own laptop or PC. Our courses take place in modern, professional training facilities that have all the computing equipment you’ll need.

Private and Corporate Courses

In addition to our public courses, AlphaZetta Academy can provide this course for your organisation in a private setting at your location or ours. Please enquire to discuss your needs.

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Scheduled Public Courses – BOOK NOW!

Private and Corporate Courses

In addition to our public courses, AlphaZetta Academy can provide this course for your organisation in a private setting at your location or ours. Please enquire to discuss your needs.

Enquire Now

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Testimonials

Eugene’s courses are not your standard technical courses where you learn how to put data into a model and get a result. The real life experiences – warts and all – he brings to the instruction mean that attendees walk away with a better understanding of the real life challenges of analytics as well as the technical know-how. We routinely send our team members on these courses to help them get the capabilities that really help our clients get better insights from their data.

James provided a testimonial on Eugene Dubossarsky's courses.James Beresford, Director, Agile BI

Eugene’s introductory course to data science was outstanding.

I found the subject matter and delivery fascinating, accessible and informative. I found Eugene approachable, interesting to listen to and excellent at simplifying complex concepts. I highly recommend this course for anyone who wants to know what data science—and all the buzz surrounding it!—are all about.

C.T. Johnson, Director, Statecraft