Python Pandas and Jupyter ETL and Data wrangling Course

Details

Python is an incredibly popular and powerful language for programming all sorts of functions and its use in data science has grown significantly over the years. There are tools such as Jupyter Notebooks which allow users to share live code, documentation, graphs, plots, and visualizations in a notebook, and Pandas, a software library used for data manipulation and analysis. With these tools you'll be able to easily create an ETL (extract, transform, load) pipeline and wrangle your data into clean, easily-accessible formats.

In this course you will learn how to:

Create and use Jupyter Notebooks
Create Pandas Dataframes and perform operations
Importing and Export different data types
Transform, reformat and organise data

Delivery Methods

Delivery Method	Duration
Classroom Instructor-led classroom-based training. Classes are scheduled at various conference centres in the Sandton area or your premises. Stationary and printed manuals or online resources are included. Refreshments, including 2 tea breaks and a cooked meal for lunch are provided. Training is between 9 am to 4 pm. Classroom	2 Days	Get a Quote
Live Virtual Training This course is delivered live via Microsoft Teams. You will be able to see and hear the instructor, view their whiteboard, and ask questions or communicate in the chat. Attend from the comfort of your own home or private office. Live Virtual Training	2 Days	Get a Quote

Discounts Available

Save up to 10% by booking and paying 10 business days before the course.

Brochure:

Information may change without notice.

Audience

Data scientists
Programmers
Business analysts
Engineers
Scientists

Pre-Requisites

Leading Training's Python Course or equivalent knowledge

Course Outline / Curriculum

Using Jupyter Notebooks

Starting/Opening Notebook
Using VS Code
Navigating and Editing
Short cut keys
Productivity hints and tips in iPython
Pandas Dataframes

Creating Dataframes

Selecting Data
Setting data and indices
Basic Operations

Importing/Exporting Data

SQL
CSV and Excel
HDF5

Data Wrangling

Merge Concat
break it into pieces
Join
Append
Grouping
Reshaping
Pivot Tables
Time Series
Time zone representation
Converting to another time zone
Converting between time span representations
Categoricals

Schedule Dates and Booking

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