Data Analysis Methods and Techniques
Course Info
Date:
Length:
Type:
Fees:
City:
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
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