Python Fundamentals for Data Science (TTPS4874) Training in Oman

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 3 Days
  • Price: From €3,100 +TAX
  • Upcoming Date:
  • UK & Türkiye Based Global Training Provider
New - Getting Started with Python for Engineers - Hands-on Python Basics for Analytics, Scientific and Math Computing | With Numpy, Pandas & More

Geared for scientists and engineers with limited practical programming background or experience, Python Fundamentals for Data Science is a hands-on introductory-level course that provides you with a ramp-up to using Python for scientific and mathematical computing. Working in a hands-on learning environment with both Python scripts and Jupyter notebooks,you'll learn basic Python scripting skills and concepts, as well as the most important Python modules for working with data, from arrays, to statistics, to plotting results.

Throughout the course, guided by our expert instructor, you'll gain a robust skill set that will equip you to make data-driven decisions and elevate operational efficiencies within your organization. You'll explore data manipulation with Pandas, advanced data visualization using Matplotlib, and numerical analysis with NumPy. You'll also delve into best practices for error and exception handling, modular programming techniques, and automated workflow development, equipping you with the skill set to enhance both the effectiveness and efficiency of your data-driven projects.



Who Should Attend?

This introductory-level course is designed for technical professionals who are new to Python and want to use it for data analysis and data science workflows. Typical roles include data analysts, engineers, developers, and researchers transitioning from tools such as Excel or SQL.


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

No prior Python experience is required. Familiarity with basic programming or scripting concepts (such as variables and simple logic) is helpful but not required.

What You Will Learn

Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore:

  • Core Python Proficiency: By the close of the course, participants will have a firm grasp on the foundational elements of Python, such as variables, data types, and flow control, empowering them to write scripts and build simple programs with confidence.
  • Analytical Problem-Solving: Utilizing libraries such as NumPy, students will develop the ability to perform complex mathematical operations and statistical analyses, significantly amplifying their analytical capabilities for tasks such as data modeling or optimization problems.
  • Data Manipulation Mastery: By the end of the course, participants will be proficient in employing Pandas to clean, transform, and analyze data sets, enabling them to make data-driven decisions effectively.
  • Automated Workflow Development: Students will acquire the ability to construct automated scripts using Python's Standard Library, optimizing repetitive tasks and thereby enhancing operational efficiency in their organizations.
  • Advanced Data Visualization: Upon course completion, learners will be equipped to utilize Matplotlib and other Python libraries to craft intricate visual representations of data, facilitating clearer and more impactful reporting and presentations.
  • Error-Resilient Coding: Attendees will learn best practices for implementing robust error and exception handling techniques, leading to the creation of more stable and secure Python applications.
  • Modular Programming Proficiency: By mastering Python functions, modules, and packages, students will be adept at developing modular and maintainable code, a key skill for scalability and collaborative programming projects.

Training Outline

  1. Getting Started with the Python Environment
    • Starting Python
    • Using the interpreter
    • Running a Python script
    • Editors and IDEs
  2. iPython and Jupyterlab
    • iPython features & iPython "magic" commands
    • iPython configuration
    • Creating Jupyter notebooks
    • Managing notebooks with Jupyterlab
  3. Variables and Values
    • Using variables
    • Builtin functions
    • String data
    • Numeric data
    • Converting types
  4. Basic input and output
    • Writing to the screen
    • String formatting
    • Command line arguments
    • Reading the keyboard
  5. Flow Control
    • About flow control
    • The if statement
    • Relational and Boolean values
    • while loops
    • Exiting from loops
  6. Array types
    • Sequence types in general
    • Lists and list methods
    • Tuples
    • Indexing and slicing
    • Iterating through a sequence
    • Sequence functions, keywords, and operators
    • List comprehensions and generators
  7. Working with files
    • File I/O overview
    • Opening a text file
    • Reading a text file
    • Writing to a text file
  8. Dictionaries and Sets
    • About dictionaries
    • Creating dictionaries
    • Getting values
    • Iterating through a dictionary
    • About sets
    • Creating sets
    • Working with sets
  9. Functions, modules, and packages
    • Returning values
    • Types of function parameters
    • Variable scoping
    • Documentation best practices
    • Creating and importing modules
    • Organizing modules into packages
  10. Intro to Pandas
    • Pandas overview
    • Series and Dataframes
    • Reading and writing data
    • Data summaries
    • Data alignment and reshaping
    • Selecting and indexing
    • Basic Data Plotting
  11. Matplotlib
    • Creating a basic plot
    • Commonly used plots
    • Ad hoc data visualization
    • Leveraging Seaborn for better plots
    • Exporting images
  12. Intro to NumPy
    • NumPy basics
    • Reading Data
    • Creating arrays
    • Indexing and slicing
    • Large number sets
    • Transforming data

Why Choose Us

Experience Python Fundamentals for Data Science (TTPS4874) in Oman 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 Oman or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Python Fundamentals for Data Science (TTPS4874) through face-to-face Classroom Based training in Oman. 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 Python Fundamentals for Data Science (TTPS4874) in Oman 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 Oman 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!

Python Fundamentals for Data Science (TTPS4874) Training Course in Oman Schedule

Join our public courses in our Oman 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.
07 October 2026 (3 Days)
Muscat
€3,100 +TAX
09 October 2026 (3 Days)
Muscat
€3,100 +TAX
15 October 2026 (3 Days)
Muscat
€3,100 +TAX
17 October 2026 (3 Days)
Muscat
€3,100 +TAX
20 October 2026 (3 Days)
Muscat
€3,100 +TAX
01 November 2026 (3 Days)
Muscat
€3,100 +TAX
08 November 2026 (3 Days)
Muscat
€3,100 +TAX
13 January 2027 (3 Days)
Muscat
€3,100 +TAX

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