Python Essentials for Data Analysts: 1 Day Course in Montreal

Schedule

Tue, 16 Dec, 2025 at 09:00 am to Mon, 29 Jun, 2026 at 05:00 pm

UTC-05:00

Location

Regus - Montreal, QC | Montreal, QC

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Step up from Excel to Python—learn to import, analyze, and present data visually while automating repetitive tasks.
About this Event

Group Discounts:

  • Save 10% when registering 3 or more participants
  • Save 15% when registering 10 or more participants

Duration: 1 Full Day (9:00 AM – 5:00 PM)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, beverages, and light snacks included


Course Overview

The Python for Data Analyst course helps you 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 or databases. This hands-on course transforms how you automate reporting, create dashboards, and derive business insights from data.

Learning Objectives

By the end of this course, you will:

  • 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

Target Audience

Data analysts, business analysts, finance professionals, and researchers.

Why is it the Right Fit for You?

If you're involved in data-driven decision-making, this course empowers you to work smarter using Python. With a focus on real-world applications, we teach you practical skills — from transforming raw data to automating reports — that help optimize business processes. Our hands-on format ensures you learn by doing, while our industry expert trainers guide you through common challenges and scenarios encountered in business analytics. This course bridges the gap between Excel and advanced analytics tools, helping you elevate your skills and value as an analyst.

©2025 Catils. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.


Do you want to equip your team with advanced data analytics skills?

We offer in-house Python for Data Analyst training that can be customized to your business processes, data formats, and reporting needs. Curious how Python can streamline your team's workflows and insights? Let us build a tailor-made learning experience for your organization.

📧 Contact us today to schedule a customized in-house, face-to-face session:


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Agenda
Module 1: Introduction to Python for Analytics

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


Module 2: Data Manipulation with Pandas

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


Module 3: Data Cleaning Techniques

Info: • Handling missing values and duplicates
• Text and date transformations
• Data type conversions and standardization
• Activity


Module 4: Data Visualization with Matplotlib

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


Module 5: Statistical Analysis in Python

Info: • Descriptive statistics and summary functions
• Correlation and distribution analysis
• Using SciPy for hypothesis testing
• Case Study


Module 6: Excel and Database Integration

Info: • Reading and writing Excel files
• Connecting to SQL databases
• Automating workflows with Python scripts
• Activity


Module 7: Automating Reports

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


Module 8: Mini Project

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


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Where is it happening?

Regus - Montreal, QC, 1200 Avenue McGill College, Montreal, Canada

Event Location & Nearby Stays:

Tickets

CAD 616.10 to CAD 797.09

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