Data Handling in Python Training in United States of America

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 3 Days
  • Level: Intermediate
  • Price: From USD 4,300 +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.
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

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. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

  • Delivery Method: Online Instructor-Led
  • Participation Model: Public / Private (In-house)
  • Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
  • Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
  • 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 professional training experience since 1995.
  • Worldwide Access: Join our live virtual classrooms from United States of America or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Data Handling in Python through face-to-face Classroom Based training in United States of America. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

  • Delivery Method: Classroom Based
  • Participation Model: Public / Private (In-house)
  • Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
  • Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
  • Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
  • Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Data Handling in Python in United States of America as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

  • Delivery Method: Onsite
  • Participation Model: Private (In-house)
  • Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
  • Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
  • Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
  • Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
  • Worldwide Onsite Delivery: Arrange the training in United States of America or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.
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.
05 October 2026 (3 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 4,300 +TAX
22 October 2026 (3 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 4,300 +TAX
12 November 2026 (3 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 4,300 +TAX
14 November 2026 (3 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 4,300 +TAX
20 November 2026 (3 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 4,300 +TAX
22 November 2026 (3 Days)
New York, San Francisco, Austin, Seattle, Chicago
USD 4,300 +TAX

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