Python (Advance Level)

Python is a popular programming language that has gained attention for its ease-of-use and wide support for a variety of tasks. This advanced course is aimed at equipping data analysts to handle data on a larger scale and produce interactive dashboards to effectively communicate results to business stakeholders.

What Will I Learn From This Course? 

• Utilize Numpy And Dask To Manipulate Large Data Sets. 

• Generate Visually Compelling Interactive Dashboards Using Plotly. 

• Pre-requirements

• Python For Data Science (beginner)

Technical Requirements:

The class will be conducted using jupyter interactive notebooks. Participants are required to install anaconda python v3. 8 prior to attending this course. We recommend a machine running macos/unix/windows with at least 4gb ram.

Course Outline For This Programme:
Numerical Python (numpy)

•  Numpy Arrays

• Broadcasting Rules

• Working With Image Data

Working With Large Data Sets;

In this section we introduce Dask, a Python package for lazy evaluation to handle data frames that are too large to fit in memory. Dask provides a Pandas-friendly interface that allows for manipulation of large data sets without the need for distributed computing platforms such as Spark.

Dashboarding:

In this section, participants learn to build beautiful interactive dashboards from their data with the aid of a Python packaged called Plotly.

Practice Project:

 Live coding exercises on a large dataset

In the final section for this course, participants will get their hands dirty by working on a large dataset to simulate a real-life data workflow and put their Python knowledge to the test.

Practice Project:

 Live coding exercises on a large dataset

In the final section for this course, participants will get their hands dirty by working on a large dataset to simulate a real-life data workflow and put their Python knowledge to the test.