Analysing Data with Excel
Data Modelling with M and Power Query
Data Visualization with Python
Data Visualization with R
Excel Dashboards and Power Pivot
GIS ESSENTIALS – “Getting Spatially Enabled”
Introduction to Statistics
Machine Learning with R
Microsoft Power BI Boot Camp
Microsoft Power BI Desktop Advanced Course
Microsoft Power Query
Microsoft PowerBI Dashboard User Course
Oracle SQL Intermediate to Advanced
PostgreSQL for Business Intelligence and Mass-data-analysis
Problem Solving and Decision Making
Problem-Solving SAQA US242817
R, Into the Tidyverse (Data Wrangling and ETL)
Regression with R
Statistics with R
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:
Leading Training is focusing on providing virtual training courses for the foreseeable future and will only consider in-person and classroom training on request, with a required minimum group size of six delegates. We remain committed to offering training that is fast, focused and effective.
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Save up to 10% by booking and paying 10 business days before the course.
Leading Training's Python Course or equivalent knowledge
Using Jupyter Notebooks
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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: