IT & Software

Python for Data Analyst

Learn Python for data analysis, visualization, automation, and business reporting using practical, hands-on techniques.

1 DayAll LevelsEnglish🎓 Course Completion Certificate
ClassroomIn-HouseVirtual Live
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Python for Data Analyst

1 Day · All Levels

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Overview

The Python for Data Analyst course helps professionals harness the power of Python for statistical analysis, reporting, and automation. Designed for analysts and business professionals, it introduces tools like Pandas for data manipulation, Matplotlib for visualization, and techniques for integrating with Excel and databases.

This hands-on course transforms how participants automate reporting, create dashboards, and derive meaningful business insights from data.

Through practical exercises, case studies, activities, and a mini project, participants will gain the confidence to analyze data efficiently, automate repetitive tasks, and build data-driven solutions for real business challenges.

What You'll Learn

Practical, workplace-ready skills you can apply immediately.

Manipulate and analyze data efficiently using Pandas
Visualize key business metrics with Matplotlib
Apply statistical methods to find trends and patterns
Automate repetitive data tasks using Python scripts
Integrate Python outputs into Excel and database environments
Build ready-to-execute analysis workflows for business use

Course Modules

Structured learning combining instructor-led sessions, discussions, and hands-on activities.

01

Module 1 | Introduction to Python for Analytics

Understanding Python in the analytics ecosystem Setting up Jupyter Notebook or VS Code Overview of key libraries for analysis Activity
02

Module 2 | Data Manipulation with Pandas

Working with DataFrame and Series Importing and exporting data from CSV, Excel, SQL Filtering, sorting, and merging data Activity
03

Module 3 | Data Cleaning Techniques

Handling missing values and duplicates Text and date transformations Data type conversions and standardization Activity
04

Module 4 | Data Visualization with Matplotlib

Creating line, bar, pie, and scatter plots Customizing plot styles, labels, and legends Comparing datasets visually Activity
05

Module 5 | Statistical Analysis in Python

Descriptive statistics and summary functions Correlation and distribution analysis Using SciPy for hypothesis testing Case Study
06

Module 6 | Excel and Database Integration

Reading and writing Excel files Connecting to SQL databases Automating workflows with Python scripts Activity
07

Module 7 | Automating Reports

Generating daily/weekly reports with code Exporting visuals and data summaries Emailing or saving outputs automatically Activity
08

Module 8 | Mini Project

Clean, analyze, and visualize a real dataset Create a Python-based automated report Present insights and code Activity

Who Should Attend

Data analystsBusiness analystsFinance professionalsResearchers

Prerequisites

No technical knowledge is required. The workshop is designed for beginners who want to learn Python for data analysis, visualization, automation, and business reporting.

Materials

Workshop materials, hands-on exercises, case studies, practical datasets, Python practice resources, mini project materials, and a Course Completion Certificate.

Ready to get started?

Python for Data Analyst

Join professionals across Australia building practical, workplace-ready skills through expert-led training.

Enquire NowBrowse All Courses