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Technologies / Data & Analytics

Data analysis with SQL, Python and Tableau

Intensive training combining practical knowledge of data analysis using SQL, Python and Tableau. Participants will learn the process of data acquisition, processing and visualization in a business environment. The program includes hands-on workshops where participants independently implement analytical projects from start to finish.

Issues

  • Advanced SQL queries

  • Pandas and NumPy in data analysis

  • Integration of various data sources

  • Data cleaning and transformation

  • Statistical analysis

  • Data visualization

  • Dashboarding

  • Optimization of analytical processes

  • Automation of analysis

  • Presentation of business results

Benefits

  • The participant will gain practical skills in data analysis using leading tools
  • The participant will learn to effectively combine different technologies in the process of data analysis
  • The participant will be able to create advanced visualizations and interactive dashboards
  • The participant will develop skills to optimize analytical processes
  • The participant will learn techniques for automating work with data
  • The participant will know how to present analysis results in a way that is accessible to business audiences

Who is this training for?

Business analysts getting started with data
BI professionals looking to expand their skills
Programmers who want to learn about analytical tools
Managers in need of data analysis skills
Employees of reporting departments
Business decision makers

Prerequisites

  • Basic knowledge of SQL
  • Knowledge of basic programming
  • Experience working with business data
  • Basic statistical knowledge

Training program

01

Introduction to data analysis

  • Structure and data types
  • Data sources and their integration
  • Preparation of the analytical environment
02

SQL in data analysis

  • Advanced SQL queries
  • Data aggregation and transformation
  • Query optimization
  • SQL integration with Python
03

Python in data analysis

  • Working with Pandas and NumPy libraries
  • Data cleaning and transformation
  • Statistical analysis
  • Automation of analytical processes
04

Visualization in Tableau

  • Creating interactive dashboards
  • Advanced visualization techniques
  • Storytelling with data
  • Publication and sharing of analyses

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

Frequently asked questions

What are the prerequisites for this training?

For Data analysis with SQL, Python and Tableau we recommend: Basic knowledge of SQL; Knowledge of basic programming; Experience working with business data.

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: Business analysts getting started with data; BI professionals looking to expand their skills; Programmers who want to learn about analytical tools.

What practical skills will I gain from this training?

You will gain practical skills in using SQL, Python, and Tableau together in a unified analytical workflow — from data acquisition and processing to creating advanced visualizations, interactive dashboards, and automating analytical processes.

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 SQL, Python and Tableau. The certificate is recognized by employers in the IT industry.

Will I learn how to choose the right tool for each analytical task?

Yes, a key focus of the training is understanding when to use SQL, Python, or Tableau based on the specific analytical problem at hand. Through real business cases, you will develop judgment for selecting and combining these tools effectively.

Anna Polak
Anna Polak Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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Trusted by

We train teams at Poland's largest companies

ING Bank - EITT client
mBank - EITT client
PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

Interested in this training?

Contact us - we'll prepare an offer tailored to your organization's needs.

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