
Python Analytics For Non-IT
Pythons Analytics for Non-IT

Public Class
2 Days
HRDF Claimable
Certificate of Attendance
Reference Book
Light Refreshment
In-house
2 Days
HRDF Claimable
Certificate of Attendance
Reference Book
All of our in-house classes can be customised to your organisation’s needs.
- Course Details
- Course Outline
Introduction
The "Python Analytics for Non-IT" course is intended for non-IT professionals who aspires to stretch his analytics competencies in the organization using open-source technology to apply machine learning best practices to perform moderate sophisticated analytics processes, data prepping and modelling tasks for simple predictive analytics using machine learning with Python. Possible use cases will be discussed. In addition, there will be hands-on assignments for participants to practise and apply the topics covered.Who Should Attend
Data or Business Analysts Accountants or Finance Personnels Digital Transformation Team Managerial roles ExecutivesCourse Objectives
Delegates who have taken the Python for Non-IT, should be able to:
Know how to operate software that will help you create and run Python code. Run Python scripts Run and interpret fundamental data analytic tasks in Python including descriptive statistics, data visualizations, and regression.Pre-requisites
Basic computer software skill (e.g.: Excel) Basic internet skill
Machine Learning Overview
The goals of Machine Learning (ML)
Definition and classification of Artificial Intelligence (AI)
Supervised Learning / Unsupervised Learning
ML theory, application and algorithms
CRISP-DM: Critical steps in ML
Comparing CRISP-DM to the OSEMN framework
Python Programming Fundamentals Overview of Python for data analysis Data Structures Control loops Lambda Popular libraries
Python Analytics Fundamentals Data profiling Data visualisation Data cleansing & munging Transformation Missing value handling Dataframe Predictive analytics
Python Programming Fundamentals Overview of Python for data analysis Data Structures Control loops Lambda Popular libraries
Python Analytics Fundamentals Data profiling Data visualisation Data cleansing & munging Transformation Missing value handling Dataframe Predictive analytics