Data Analysis with Python Training in Vancouver

Data Analysis with Python Training in Vancouver, Canada

Participants will learn core libraries such as Pandas, NumPy, Matplotlib, and Seaborn, and apply them to draw insights and prepare data for further modeling.

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Data Analysis with Python Training is a professional training program delivered by ProgNXT in Vancouver, Canada. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Data Analysis with Python Training course with hands-on, instructor-led sessions. This hands-on course introduces participants to data analysis using Python, covering data manipulation, visualization, exploratory data analysis, and...

Expert Panel

Designed and delivered by the ProgNXT Data Analysis Expert Panel — a vetted team of industry professionals with 12+ years of hands-on experience in Excel, SQL, Python, Tableau, and Power BI

ProgNXT Data Analysis Expert Panel

Course Code: ONJ31
21 Hrs
Last Updated: April 2026

Course Rating5/5

This hands-on course introduces participants to data analysis using Python, covering data manipulation, visualization, exploratory data analysis, and working with real datasets. Participants will learn core libraries such as Pandas, NumPy, Matplotlib, and Seaborn, and apply them to draw insights and prepare data for further modeling.

Welcome to the official Data Analysis with Python Training certification program in Vancouver, Canada. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 21 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic understanding of programming (any language)
No prior experience in Python or data analysis required
Familiarity with spreadsheets or simple data concepts is helpful

By the end of the course, participants will:

Be comfortable using Python for end-to-end data analysis
Understand how to prepare, clean, and explore data
Visualize patterns, distributions, and trends effectively
Gain the skills to support data-driven decisions in real-world scenarios
Be ready to continue learning advanced topics like ML and dashboards

Python programming for data analysis
Data cleaning, transformation, and exploration
Creating visualizations to communicate insights
Working with different file formats (CSV, Excel, JSON)
Applying basic statistics in analysis workflows

Reading and cleaning datasets using Pandas
Exploratory data analysis with descriptive statistics
Creating plots and visualizations with Matplotlib and Seaborn
Filtering, grouping, and aggregating data
Deriving insights and presenting findings

ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

PYTHON FUNDAMENTALS AND DATA HANDLING

Introduction to Python for Data Analysis

Setting up the environment: Jupyter, VS Code, Anaconda

Python syntax, variables, functions, lists, loops

Working with Python packages and virtual environments

Introduction to NumPy and Pandas

NumPy arrays, operations, and use in analysis

Pandas Series and DataFrames: structure and operations

Reading data from CSV, Excel, and JSON files

DATA CLEANING AND EXPLORATION

Data Cleaning and Preparation

Handling missing values and duplicates

Data type conversion and column manipulation

Filtering, sorting, and deriving new columns

Exploratory Data Analysis (EDA)

Descriptive statistics: mean, median, std, percentiles

Grouping, aggregating, and pivoting data

Detecting outliers and trends

DATA VISUALIZATION AND INSIGHTS

Data Visualization with Matplotlib and Seaborn

Line plots, bar charts, histograms, boxplots

Plotting relationships and distributions

Styling and customizing plots for reports

Wrap-Up and Next Steps

Overview of where to go next: ML, dashboards, or SQL

Best practices for self-learning and project development

Resources and certification tips

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants will be evaluated based on:
Daily quizzes, mock questions and query resolution. Participation in hands-on exercises and labs. Performance in the final review and hands-on exercises will be evaluated.
ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

Data Analysis with Python Training Events in vancouver

Online Events

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More Upcoming Session Dates

October 2026

🌐 Online Instructor-Led

18th Oct 2026→20th Oct 2026

📍 Vancouver, Canada

24th Oct 2026→26th Oct 2026

November 2026

📍 Vancouver, Canada

1st Nov 2026→3rd Nov 2026

🌐 Online Instructor-Led

5th Nov 2026→7th Nov 2026

📍 Vancouver, Canada

18th Nov 2026→20th Nov 2026

🌐 Online Instructor-Led

19th Nov 2026→21st Nov 2026

December 2026

🌐 Online Instructor-Led

2nd Dec 2026→4th Dec 2026

📍 Vancouver, Canada

10th Dec 2026→12th Dec 2026

📍 Vancouver, Canada

19th Dec 2026→21st Dec 2026

🌐 Online Instructor-Led

20th Dec 2026→22nd Dec 2026

Events for other courses in Vancouver, Canada

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Data Analysis with Python Training in Vancouver