Applied Python for Data Science (TTPS4876) Training in Canada

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 3 Days
  • Price: From €2,900+VAT
  • Upcoming Date:
  • UK Based Global Training Provider
Gain advanced skills to handle complex data sets, understand machine learning algorithms, and translate data into actionable insights

This course provides students with Python data science skills that can immediately be applied in real life. The course focuses on Pandas as the primary tool, using related packages such as NumPy and Seaborn to enhance processing and visualization.



Who Should Attend?

This course is designed for data professionals who already have foundational Python and Pandas skills and want to apply Python more effectively to real-world data analysis problems. Typical roles include data analysts, data scientists, engineers, and researchers.

We can organize this training at your preferred date and location. Contact Us!

HAVELSAN
ASELSAN
PepsiCo Türkiye
JTI TÜTÜN ÜRÜNLERİ SANAYİ A.Ş.
ING Bank
DHL
MASTERCARD
Huawei
TotalEnergies
Mercedes-Benz Türk A.Ş.
Goodyear
FORD OTOMOTIV SANAYI A.S.
3M COMPANY
Schneider Electric
Central Bank of Azerbaijan
BP Petrolleri
Procter & Gamble (P&G)
Qatar Foundation
Bank Of China
GlaxoSmithKline (GSK)
MORGAN STANLEY & CO Inc
Novo Nordisk
DEUTSCHE BANK
Azerbaycan Cumhuriyeti Emek ve Ahalinin Sosyal Güvenliği Bakanlığı
ACCENTURE

Prerequisites

Participants should have a solid foundation in Python and introductory Pandas concepts. This course assumes prior experience with Python syntax, basic data structures, and simple data manipulation in Pandas.

What You Will Learn

Working in a hands-on, applied learning environment, participants will learn to:

  • Advanced Data Ingestion & Preparation: Efficiently import, clean, and export complex datasets using Pandas, preparing data for deeper analysis and reuse.
  • Sophisticated Data Selection & Indexing: Confidently navigate and subset data using advanced indexing techniques, Boolean logic, and multi-indexing for hierarchical datasets.
  • Data Aggregation & Summarization: Apply groupby() operations and aggregation functions to analyze trends, patterns, and summaries across large datasets.
  • Data Transformation & Reshaping: Transform, merge, and reshape datasets to support more effective analysis and streamlined analytical workflows.
  • Functional Data Processing: Apply user-defined and third-party functions to Pandas objects to extend analytical capabilities and customize data processing.
  • Advanced Data Visualization: Create clear, informative, and visually compelling data visualizations using advanced Matplotlib features and Seaborn enhancements.
  • NumPy for Analytical Efficiency: Utilize NumPy arrays and operations to manipulate large numerical datasets and improve analytical performance.
  • Applied Scientific Computing with SciPy: Gain practical exposure to key SciPy subpackages to support statistical analysis, optimization, and scientific workflows.

Training Outline

  1. Pandas input and output

    Reading data into Pandas dataframes and exporting to various formats.

    • General input considerations
    • Reading CSV Files
    • Data cleaning
    • Reading other data formats
    • Exporting data
  2. Pandas filtering and sorting

    Selecting subsets of dataframes for focused analysis.

    • Indexing rows and columns
    • Multi-indexing
    • Selection by conditions
    • Sorting data
  3. Pandas grouping and aggregation

    Consolidating data and providing sums and other aggregate values.

    • Using groupby()
    • Aggregate functions
    • Using data summaries
    • Alternate approaches
  4. Pandas Data Transformation

    Manipulating datasets for simpler analysis.

    • Applying functions to data
    • Renaming columns and indexes
    • Inserting and removing data
    • Combining and merging dataframes
    • Reshaping datasets
  5. Advanced Matplotlib

    Going beyond the basics with Matplotlib.

    • Components of a figure
    • Multiple plots
    • Complex plots
    • Matplotlib options and settings
    • Customing styles (and everything else)
  6. Seaborn

    Learning how Seaborn supplements and improves on Matplotlib.

    • What does Seaborn provide?
    • Using themes
    • Advanced plot types
    • Fine-tuning the details
  7. Using NumPy

    Loading large datasets into NumPy arrays for further analysis.

    • NumPy basics
    • Creating arrays
    • Indexing and slicing
    • Builtin functions()
    • Reading and writing data
  8. Useful SciPy subpackages

    A look at some of the 20-odd SciPy subpackages.

    • What is SciPy?
    • scipy.stats
    • scipy.interpolate
    • scipy.optimize

Why Choose Us

Experience Applied Python for Data Science (TTPS4876) in Canada through Bilginç IT Academy's live and interactive virtual classroom environment, accessible from your home, office, or any location. Connect with expert trainers in real time and bring the energy of classroom learning into the digital experience.

  • Live Instructor-Led Sessions: Join scheduled training sessions with your instructor and fellow delegates in real time.
  • Interactive Learning Experience: Take part in discussions, practical exercises, group activities, and Q&A sessions throughout the course.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's long-standing experience in delivering professional training since 1995.
  • Flexible and Scalable Delivery: Access live virtual classrooms from Canada and worldwide, with flexible planning options for individual and corporate training needs.

Experience Applied Python for Data Science (TTPS4876) in a focused classroom environment in Canada. Bilginç IT Academy's carefully selected training venues provide a professional setting where delegates can interact directly with expert trainers and peers.

  • Experienced Trainers: Learn from specialists with extensive field experience and real-world knowledge.
  • Professional Training Venues: Attend courses in comfortable, well-equipped classrooms designed to support effective learning.
  • Focused Classroom Experience: Benefit from limited class sizes that encourage discussion, interaction, and personalized support.
  • Quality-Driven Learning: Develop practical skills through structured, up-to-date, and professionally designed training content.

Meet your team's training needs with Bilginç IT Academy's onsite Applied Python for Data Science (TTPS4876) in Canada solution, delivered at your office or preferred location. Align your team's development with your business goals through a training experience tailored to your organization.

  • Tailored Course Content: Adapt the training program to your organization's projects, team structure, and specific business requirements.
  • Time and Cost Efficiency: Reduce travel, accommodation, and operational costs while maximizing the value of your training investment.
  • Team-Focused Learning: Help your employees develop around the same knowledge base and strengthen collaboration across your organization.
  • Simplified Planning and Tracking: Manage the training process, participant development, and organizational requirements with greater control.
Contact us for more detail about our trainings and for all other enquiries!

Applied Python for Data Science (TTPS4876) Training Course in Canada Schedule

Join our public courses in our Canada facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
17 July 2026 (3 Days)
Toronto, Vancouver, Montreal, Ottawa
€2,900 +VAT
01 August 2026 (3 Days)
Toronto, Vancouver, Montreal, Ottawa
€2,900 +VAT
02 August 2026 (3 Days)
Toronto, Vancouver, Montreal, Ottawa
€2,900 +VAT
13 August 2026 (3 Days)
Toronto, Vancouver, Montreal, Ottawa
€2,900 +VAT
16 August 2026 (3 Days)
Toronto, Vancouver, Montreal, Ottawa
€2,900 +VAT
02 September 2026 (3 Days)
Toronto, Vancouver, Montreal, Ottawa
€2,900 +VAT
15 September 2026 (3 Days)
Toronto, Vancouver, Montreal, Ottawa
€2,900 +VAT
17 September 2026 (3 Days)
Toronto, Vancouver, Montreal, Ottawa
€2,900 +VAT

Canada has emerged as a global powerhouse for Artificial Intelligence and deep tech, with Toronto, Vancouver, and Montreal leading the charge as international innovation hubs. The country’s commitment to tech-driven economic growth is supported by world-class institutions like the University of Toronto and Waterloo, attracting top talent from across the globe. From the gaming industry in Montreal to the cloud-computing boom in British Columbia, Canada offers a diverse and stable environment for professional development. Our training solutions in Canada focus on equipping the workforce with high-demand skills in DevOps, Data Science, and Enterprise Architecture. We help professionals stay ahead of the curve in a nation that consistently ranks at the top for digital readiness and technological investment.

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