Technologies / Data & Analytics

Data Analysis with Python, Pandas and NumPy

This training focuses on practical aspects of data analysis using the most popular Python libraries. During intensive workshops, participants will learn advanced data processing and analysis techniques using Pandas and NumPy. The program combines theory with practice through real use cases, providing participants with skills essential for daily work as a data analyst.

Required Participant Preparation

Basic Python programming knowledge
Knowledge of statistics basics
Understanding of basic data analysis concepts
Experience working with tabular data

Benefits

Practical knowledge of Pandas and NumPy libraries
Ability to efficiently process large datasets
Ability to conduct advanced statistical analyses
Knowledge of data cleaning and preparation techniques
Ability to create clear data visualizations
Ability to automate analytical processes
Practical experience in solving real analytical problems

Who is this training for?

Data analysts starting work with Python

Programmers wanting to expand their data analysis knowledge

Business Intelligence specialists

Data Scientists

Data engineers

Business analysts transitioning to programming tools

Researchers and academics

Training program

Work environment configuration
Jupyter Notebook as an analytical tool
Python Data Science ecosystem overview

Working with NumPy arrays
Vector and matrix operations
Mathematical and statistical functions

Data Analysis with Pandas
Data structures: Series and DataFrame

Data cleaning and preparation

Advanced Analysis Techniques
Data merging and transformation
Time analysis and time series

Performance optimization

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Training Topics

Frequently asked questions

What are the prerequisites for this training?

The Data Analysis with Python, Pandas and NumPy training does not require specialized prior knowledge. Basic IT knowledge is sufficient.

What is the format and duration of this training?

The training lasts 2 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Data analysts starting work with Python; Programmers wanting to expand their data analysis knowledge; Business Intelligence specialists.

What practical skills will I gain from this training?

You will gain practical knowledge of the Pandas and NumPy libraries, including efficient processing of large datasets, advanced statistical analyses, data cleaning and preparation, and creation of clear data visualizations.

What topics does the program cover?

The program covers introduction to data analysis in Python, working with Pandas DataFrames, numerical operations with NumPy, statistical analysis techniques, data cleaning and transformation, and data visualization.

Do I receive a certificate after completing this training?

Yes, upon successful completion you receive an EITT certificate confirming your skills in data analysis with Python, Pandas and NumPy. The certificate is recognized by employers in the IT industry.