Kaggle Training and Certification in Vancouver

Kaggle Training and Certification in Vancouver, Canada

This course is designed to introduce learners to Kaggle, a leading platform for data science competitions and datasets.

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Kaggle Training and Certification is a professional training program delivered by ProgNXT in Vancouver, Canada. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Kaggle Training and Certification course with hands-on, instructor-led sessions. This course is designed to introduce learners to Kaggle, a leading platform for data science competitions, datasets, and community...

Expert Panel

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: SMF90
14 Hrs
Last Updated: April 2026

Course Rating5/5

This course is designed to introduce learners to Kaggle, a leading platform for data science competitions, datasets, and community learning. Participants will learn how to use Kaggle for practicing data science, exploring datasets, building models, and submitting solutions to real-world problems.

Welcome to the official Kaggle Training and Certification 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 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic understanding of Python
Familiarity with data analysis or machine learning fundamentals
Google or Kaggle account (free to register)
Some experience with Pandas, Numpy, or Scikit-learn is helpful

By the end of the training, participants will be able to effectively use Kaggle for hands-on practice in data science and machine learning, explore open datasets, participate in beginner-level competitions, and understand how to grow their skills and rank on the platform.

Navigating the Kaggle platform and competitions
Working with Kaggle datasets and notebooks
Submitting predictions in Kaggle competitions
Using Kaggle kernels for training and testing models
Collaborating and learning through Kaggle Discussions and Courses

Kaggle account setup and profile building
Exploring datasets and running notebooks
Submitting entries to competitions
Model evaluation based on leaderboard metrics
Understanding the rules and expectations of Kaggle challenges

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

Introduction to Kaggle and Data Exploration

Getting Started with Kaggle

What is Kaggle and how it works
Creating an account and setting up a profile
Overview of the Kaggle interface: Datasets, Competitions, Notebooks, and Discussions
Earning points, medals, and ranks on Kaggle

Working with Datasets on Kaggle

Searching and selecting datasets
Downloading datasets or using Kaggle notebooks directly
Dataset structure and metadata
Using data for exploration and analysis

Introduction to Kaggle Notebooks (Kernels)

Creating and editing notebooks in Kaggle
Code cells vs Markdown cells
Installing packages and using GPUs/TPUs
Saving, publishing, and sharing notebooks

Exploratory Data Analysis (EDA)

Loading datasets using Pandas
Descriptive statistics and summaries
Data cleaning basics
Visualizing data using Matplotlib and Seaborn

Competitions, Modeling, and Submissions

Understanding Kaggle Competitions

Types of competitions (Featured, Research, Recruitment, Playground)
Reading competition rules, evaluation metrics, and deadlines
Downloading competition data
Submission format and sample submissions

Building Your First Kaggle Model

Setting up a notebook for training
Splitting data into train/test
Applying simple models (e.g., Logistic Regression, Random Forest)
Generating predictions for submission

Making and Submitting Predictions

Creating submission files
Uploading predictions to the competition page
Understanding the public vs private leaderboard
Learning from top solutions and notebooks

Best Practices and Community Engagement

How to learn from discussions and public notebooks
Following experts and participating in courses
Collaborating on Kaggle teams
Tips to move from beginner to competition contributor

Final Activity and Assessment

Group discussion: lessons learned, strategies, next steps

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.

Kaggle Training and Certification Events in vancouver

Online Events

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More Upcoming Session Dates

October 2026

🌐 Online Instructor-Led

11th Oct 2026→12th Oct 2026

🌐 Online Instructor-Led

19th Oct 2026→20th Oct 2026

📍 Vancouver, Canada

21st Oct 2026→22nd Oct 2026

November 2026

🌐 Online Instructor-Led

8th Nov 2026→9th Nov 2026

📍 Vancouver, Canada

12th Nov 2026→13th Nov 2026

🌐 Online Instructor-Led

20th Nov 2026→21st Nov 2026

📍 Vancouver, Canada

22nd Nov 2026→23rd Nov 2026

December 2026

🌐 Online Instructor-Led

5th Dec 2026→6th Dec 2026

📍 Vancouver, Canada

9th Dec 2026→10th Dec 2026

🌐 Online Instructor-Led

21st Dec 2026→22nd Dec 2026

📍 Vancouver, Canada

27th Dec 2026→28th Dec 2026

Events for other courses in Vancouver, Canada

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Kaggle Training and Certification in Vancouver