Data Analysis Methods and Techniques

Course Info

Date:

2026-11-30

Length:

5 Days

Type:

In Classroom

Fees:

£ 4590

City:

Hong Kong
Available DatesVenue
2026-02-02Hong Kong
2026-05-04Hong Kong
2026-08-31Hong Kong
Available DatesOther Venue
2025-09-29London
2025-10-06Dubai
2025-11-03London
2025-11-03Singapore
2025-11-03Kuala Lumpur
2025-11-03Istanbul
2025-11-03Paris
2025-11-03Barcelona
2025-11-03Amsterdam
2025-12-29Dubai
2026-01-05London
2026-02-02Singapore
2026-02-02Amsterdam
2026-02-02Paris
2026-02-02Istanbul
2026-02-02Kuala Lumpur
2026-02-02Barcelona
2026-02-02Dubai
2026-03-30London
2026-04-06Dubai
2026-05-04Singapore
2026-05-04Kuala Lumpur
2026-05-04Istanbul
2026-05-04Amsterdam
2026-05-04London
2026-05-04Paris
2026-05-04Barcelona
2026-06-29Dubai
2026-07-06London
2026-08-31Singapore
2026-08-31Barcelona
2026-08-31Amsterdam
2026-08-31Paris
2026-08-31Istanbul
2026-08-31Kuala Lumpur
2026-08-31Dubai
2026-09-07London
2026-10-05Dubai
2026-11-30Barcelona
2026-11-30Singapore
2026-11-30Amsterdam
2026-11-30Paris
2026-11-30Istanbul
2026-11-30Kuala Lumpur
2026-11-30London
2026-12-07Dubai

Course Details

  • Introduction

  • Objective

  • Who should attend

  • Course Location

Some data tells you what happened. Smarter data tells you why—and what to do next.


That’s the difference between reports and real insight. In the Data Analysis Methods and Techniques course by LPC Training, you’ll gain the skills to move from descriptive to predictive, from reactive to strategic. This hands-on, five-day training takes you deep into practical analysis—using tools like Python, Tableau, Power BI, Hadoop, and Spark, to help you turn raw, messy data into clear direction and confident decisions.


You’ll master core statistical thinking, data mining, regression, pattern detection, and risk modeling, all through applied learning, not just theory. Whether you’re dealing with massive datasets or uncovering subtle trends, this course will help you translate complexity into clarity and insight into impact.



Course Outline

5 days course
  • Day 1
  • Day 2
  • Day 3
  • Day 4
  • Day 5

The Basics of Data Analysis and Fundamental Statistics 

 
  • Definition and functions of data analysis 
  • Exploring various data sources and data sampling methods 
  • Setting up Python for data analysis 
  • Steps of creating simple data presentations using Python and data visualization tools 
  • Discovering the application of Python libraries 
  • Exploring fundamental statistics using Python libraries 
  • Overview of practical issues in data analysis and the methodology of handling them 


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