Data Handling in Python Training in United States of America

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 3 Days
  • Level: Intermediate
  • Price: From USD 4,450 +TAX
  • Upcoming Date:
  • UK Based Global Training Provider

Python has become one of the most widely used programming languages for data analysis, data engineering, machine learning, and artificial intelligence. Its powerful ecosystem enables professionals to efficiently collect, clean, transform, analyse, and visualise data from a wide variety of sources.

Data Handling in Python is a three-day hands-on training programme designed to provide participants with a practical foundation in Python for data processing. Throughout the course, learners explore Python fundamentals while working extensively with industry-standard libraries including NumPy, Pandas, Matplotlib, and Seaborn.

Through practical exercises and guided technical labs, participants learn how to prepare datasets, automate repetitive tasks, perform statistical analysis, and produce meaningful visualisations that support data-driven decision making.

The programme also establishes the essential Python skills required for more advanced learning in data engineering, data science, machine learning, and artificial intelligence.

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

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ASELSAN
PepsiCo Türkiye
JTI TÜTÜN ÜRÜNLERİ SANAYİ A.Ş.
ING Bank
DHL
MASTERCARD
Huawei
TotalEnergies
Mercedes-Benz Türk A.Ş.
Goodyear
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3M COMPANY
Schneider Electric
Central Bank of Azerbaijan
BP Petrolleri
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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

Previous Python experience is not required.

Participants should have a basic understanding of common data concepts such as tables, records, columns, rows, and data types. General data literacy will help maximise the learning experience.

Who Should Attend

This course is suitable for:

  • Data Analysts
  • Data Engineers
  • DataOps Professionals
  • Business Intelligence Specialists
  • Professionals preparing for Data Science roles
  • Developers working with AI services
  • Anyone seeking practical Python skills for data analysis

What You Will Learn

Upon completion of this course, participants will be able to:

  • Use Python effectively for data processing tasks.
  • Perform numerical computations with NumPy.
  • Analyse and manipulate datasets using Pandas.
  • Create informative data visualisations with Matplotlib and Seaborn.
  • Work confidently within the Jupyter Notebook environment.
  • Import and export data from CSV, Excel, JSON, and other structured file formats.
  • Clean and prepare datasets for analysis.
  • Automate repetitive data processing tasks using Python.
  • Build a strong programming foundation for future learning in Data Engineering, Data Science, Machine Learning, and Artificial Intelligence.

Training Outline

Module 1 – Introduction to Programming for Data Processing

  • Benefits of programming for data analysis
  • Common programming languages used in analytics
  • Programming versus traditional analytical tools
  • Python's role in modern data workflows

Module 2 – Python Fundamentals and Jupyter Notebook

  • Python language fundamentals
  • Working with Jupyter Notebook
  • Writing basic Python programs
  • Variables and data types
  • Strings
  • Integers
  • Floating-point values
  • Boolean logic

Module 3 – Data Structures and Program Flow

  • Lists
  • Tuples
  • Dictionaries
  • Sets
  • Conditional statements
  • Loops
  • Creating reusable functions
  • File input and output
  • Process automation

Module 4 – Numerical Computing with NumPy

  • NumPy arrays
  • Array creation
  • Indexing
  • Filtering
  • Masking
  • Querying data
  • Vectorised operations
  • Mathematical computations

Module 5 – Data Analysis with Pandas

  • Series and DataFrames
  • Reading and writing datasets
  • Index management
  • Data type conversion
  • Summary statistics
  • Aggregation
  • CSV
  • Excel
  • JSON
  • Structured data formats

Module 6 – Data Cleaning

  • Handling missing values
  • Removing duplicate records
  • Data transformation
  • Text processing
  • String methods
  • Regular Expressions (Regex)

Module 7 – Data Manipulation

  • Pivot tables
  • Combining datasets
  • Time series analysis
  • Streaming large datasets
  • Performance optimisation

Module 8 – Data Visualisation

  • Creating charts with Matplotlib
  • Visual analytics using Seaborn
  • Numeric and categorical visualisations
  • Aggregated data visualisation
  • Designing effective and meaningful charts

Why Choose Us

Experience Data Handling in Python in United States of America 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 United States of America and worldwide, with flexible planning options for individual and corporate training needs.

Experience Data Handling in Python in a focused classroom environment in United States of America. 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 Data Handling in Python in United States of America 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!

Data Handling in Python Training Course in United States of America Schedule

Join our public courses in our United States of America 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.
03 September 2026 (3 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 4,450 +TAX
05 September 2026 (3 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 4,450 +TAX
06 September 2026 (3 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 4,450 +TAX
18 September 2026 (3 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 4,450 +TAX
25 September 2026 (3 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 4,450 +TAX
01 October 2026 (3 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 4,450 +TAX
05 October 2026 (3 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 4,450 +TAX
22 October 2026 (3 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 4,450 +TAX

The United States continues to define the global frontier of technology and innovation, serving as the home to the world's most influential tech titans. From the legendary Silicon Valley and San Francisco Bay Area to emerging hubs like Austin, Seattle, and the Silicon Alley in New York, the US ecosystem remains unparalleled. Top-tier institutions such as MIT, Stanford, and Carnegie Mellon provide the research backbone for breakthroughs in Artificial Intelligence, Quantum Computing, and Cybersecurity. Our training programs are meticulously aligned with these industry-leading standards, ensuring that professionals can navigate the complexities of the modern digital landscape. We bridge the gap between academic theory and high-stakes corporate execution in the most competitive tech market on Earth.

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