RELATED COURSES
Accredited Problem-Solving and Decision-Making
Advanced SQL
Analysing Data with Excel
Critical Thinking
Data Modelling with M and Power Query
Data Visualization with Python
Data Visualization with R
Excel Dashboards & Power Pivot: Building Interactive Data Solutions
GIS ESSENTIALS – “Getting Spatially Enabled”
Introduction to Statistics
Machine Learning with Python
Machine Learning with R
Microsoft Power BI Bootcamp
Microsoft Power BI Desktop Advanced
Microsoft Power Query
Microsoft PowerBI Dashboard User Course
MySQL
MySQL Administration
PLSQL
PostgreSQL
PostgreSQL Administration
PostgreSQL for Business Intelligence and Mass-data-analysis
Python Dashboards with plotly Dash
Python Regression
Python Statistical Modelling
Python Statistics
Python Web Apps with Flask MVC Framework
R, Into the Tidyverse (Data Wrangling and ETL)
Regression with R
SQL
Statistics with R
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 | 2 Days | Get a Quote | |
| 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:
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
There are currently no scheduled dates.
Please note that this course needs a minimum of 6 delegates to schedule a course. You can choose to be added to the waiting list by clicking the button below, and we will contact you when we have enough delegates interested. Should we not get enough delegates, we will refund or credit your paid booking.
Should you need this course urgently, the following options are available:
- Pay for 6 delegates (whether you have them or not) and we will schedule the course as soon as possible.
- If you have fewer delegates and cannot pay for 6, we can negotiate a shortened course where some of the time will be spent in blended learning - watching videos and doing tutorials and exercises with some contact time with the trainer. We would want to discuss what your core needs are so that we cover those aspects. You need to have paid for 3 delegates at least.