Data Analysis in Python Training

Catalogue index: IFS/52

  • In stock
  • Delivery: free
  • Dedicated training:
  • Producer:
  • Training level:
    • Zaawansowany
  • Type of training:
    • stacjonarnie; online
PLN993.33 net / particip. PLN14,899.95  net for 1 workshop PLN1,221.80 gross incl. 23% VAT / particip.

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Features

Features
Additional materials:
  •  
Certification:
  • TAK
Dedicated training:
Number of training hours:
  • 16
Producer:
Training language:
  • polski
Training level:
  • Zaawansowany
Type of training:
  • stacjonarnie; online

Description

Company Description

InfoShare Academy is a leading IT academy offering comprehensive educational programs in new technologies for companies. Since 2015, we have supported organizations in developing technology teams through dedicated courses in Machine Learning, DevOps, Data Engineering, Python, UX/UI Design, AWS, and Kubernetes. Our training is based on practical skills and real business cases. We collaborate with over 300 industry practitioners, ensuring that our programs are tailored to current market needs. We specialize in reskilling and upskilling employees. With us, you will build effective teams implementing new technologies that will accelerate innovation and strengthen your company's competitiveness in the market. Check out our training offerings designed to develop your employees' IT competencies.

Training Description

The multitude of modules, versatile support, and ease of integration with web services make Python one of the most popular tools in the field of Data Science. Participants in this course will have the opportunity to learn about the two most essential libraries – NumPy and Pandas, and see their application in working with diverse data. The training requires knowledge of the basics of the Python language.

Who is the training for
  • For Python programmers looking to expand their skills in the field of Data Science
  • For individuals developing towards work in machine learning and artificial intelligence
  • For data analysts needing tools for implementing and automating their analyses and algorithms
Goals

 

Benefits
  • You will learn how to carry out the complete process from loading data, through transformations, to sharing results
  • You will gain a thorough understanding of the basic element, which is multidimensional arrays in NumPy
  • You will learn how to work with tabular data using the Pandas library
  • You will discover how to load and integrate data from various sources and how to automate the analysis process
  • You will see how to apply the acquired knowledge in further work towards machine learning
Training Program

  • Module 1: Computational and Algorithmic Tools – NumPy and SciPy Libraries

    • Working with numerical data

    • Characteristics of multidimensional arrays in NumPy

    • Using libraries for scientific and engineering calculations

  • Module 2: Integration with Data Sources

    • Working with relational databases (MySQL, PostgreSQL)

    • Working with Excel sheets

  • Module 3: Basics of Working with Tabular Data – Pandas Library

    • Loading data from various sources

    • Structure of the Pandas DataFrame object

    • Built-in methods for performing typical analyses

    • Data operations and their automation

    • Data visualization using Matplotlib and Seaborn

    • Exporting results and demonstrating reporting tools

  • Module 4: Discussion of Next Steps Towards Machine Learning

    • Data cleaning and transformation process

    • Demonstration of using the above knowledge with Scikit-learn and TensorFlow/Keras libraries

Duration

16 h/2 days

Price includes
  • Certificate of completion
  • Monthly access to the training recording (in case of online format)
  • Customization of the training program to the client's needs

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