Business Analytics with Python (21 hrs)

Course Code: BA-BAWP-01

What is Python? Python is easy to learn and is designed for working adults without any programming background to apply data analysis, machine learning, and visualization in different industrial sectors. It can be used to build websites. It also equipped working adults with the technical skills to design and develop intelligent software applications and cognitive products, as well as gain insights on existing data within the organisation.

This course provides participants with the skills to retrieve, pre-process, and visualize data using Python. They will gain knowledge on the key concepts such as data structure, data manipulation, and data building.

  • Understand Python programming language
  • Utilise Python to conduct pre-processing data with different datasets and exploration
  • Charting of data to create actionable insights on the dataset
  • Learn about the inference statistics – confidence interval and hypothesis tests for business decisions
  • Advanced data models to make business decisions
  • Hands-on training is provided

Introduction to Python

  • Installation of Python
  • Features and tips of using Python

Data manipulation process

  • Distinguish available data types in the ecosystem and how they impact the data analytic process
  • Using Python to perform data manipulation in data slicing, cleaning, and other methods
  • Identify the relevant data needed for operations and business decisions

Inference statistics

  • Understand the concepts of confidence level
  • Introduction to hypothesis testing and how it applies to business scenarios
  • Application of the confidence level and hypothesis testing through Python

Data visualization

  • Making sense of data visualization
  • Transform complex data to fit into various charts
  • Apply visualization principles to design Dashboards

Advanced data models

  • Introduction of data model to fit into business scenario
  • Model building using Python
  • Analysis of data model that influences business decision-making

Participants will learn through lectures, case studies, exercises, and examples to gain deeper understanding and insights on the topics covered.

The tools and examples include:

  • Usage of Python
  • Dataset from different business domains

This course is suitable for managers, engineers, and executives making analysis or decisions through data in various industries.

Duration: 3 days (21 hrs)
Time: 9:00am – 5:00pm

Course Fee : $1,300.00
Nett Fee Incl. 7% GST : $1,391.00

Key Benefits
  • Understand Python programming language
  • Utilise Python to conduct pre-processing data with different datasets and exploration
  • Charting of data to create actionable insights on the dataset
  • Learn about the inference statistics – confidence interval and hypothesis tests for business decisions
  • Advanced data models to make business decisions
  • Hands-on training is provided
Course Contents

Introduction to Python

  • Installation of Python
  • Features and tips of using Python

Data manipulation process

  • Distinguish available data types in the ecosystem and how they impact the data analytic process
  • Using Python to perform data manipulation in data slicing, cleaning, and other methods
  • Identify the relevant data needed for operations and business decisions

Inference statistics

  • Understand the concepts of confidence level
  • Introduction to hypothesis testing and how it applies to business scenarios
  • Application of the confidence level and hypothesis testing through Python

Data visualization

  • Making sense of data visualization
  • Transform complex data to fit into various charts
  • Apply visualization principles to design Dashboards

Advanced data models

  • Introduction of data model to fit into business scenario
  • Model building using Python
  • Analysis of data model that influences business decision-making
Learning Methodology

Participants will learn through lectures, case studies, exercises, and examples to gain deeper understanding and insights on the topics covered.

The tools and examples include:

  • Usage of Python
  • Dataset from different business domains
Who Should Attend

This course is suitable for managers, engineers, and executives making analysis or decisions through data in various industries.

Course Details

Duration: 3 days (21 hrs)
Time: 9:00am – 5:00pm

Course Fee : $1,300.00
Nett Fee Incl. 7% GST : $1,391.00

Course Application

Details Registration
April 6, 2020 - April 9, 2020 (9:00 am - 5:00 pm)
[Dates : Apr 6, 8, 9]
Closed
September 7, 2020 - September 10, 2020 (9:00 am - 5:00 pm)
[Dates : Sep 7, 9, 10]
Register Now
December 7, 2020 - December 10, 2020 (9:00 am - 5:00 pm)
[Dates : Dec 7, 9, 10]
Register Now