Applied Python for Data Science (TTPS4876) Training in Global

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 3 Days
  • Price: From €2,900 +TAX
  • Upcoming Date:
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.


For corporate groups, we can organize this training as an on-site private group.
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

Leading UK-based global training provider since 1995.

Experience Applied Python for Data Science (TTPS4876) in Global 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 Global or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Applied Python for Data Science (TTPS4876) through face-to-face Classroom Based training in Global. 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 Applied Python for Data Science (TTPS4876) in Global 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 Global 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!

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

Join our public live virtual trainings remotely from Global. Private group trainings can also be organized at your preferred location in Global, around your schedule.

For corporate groups, we can organize this training as an on-site private group.
20 октября 2026 (3 Days)
Online Training / Remote Learning
€2,900 +TAX
05 ноября 2026 (3 Days)
Online Training / Remote Learning
€2,900 +TAX
06 ноября 2026 (3 Days)
Online Training / Remote Learning
€2,900 +TAX
10 ноября 2026 (3 Days)
Online Training / Remote Learning
€2,900 +TAX
19 ноября 2026 (3 Days)
Online Training / Remote Learning
€2,900 +TAX
08 января 2027 (3 Days)
Online Training / Remote Learning
€2,900 +TAX
31 января 2027 (3 Days)
Online Training / Remote Learning
€2,900 +TAX
06 марта 2027 (3 Days)
Online Training / Remote Learning
€2,900 +TAX

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