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Technologies / Data & Analytics

Effective data analysis in Access

Practical training focusing on using Microsoft Access as a tool for effective data analysis. Participants learn advanced techniques for processing and analyzing information, and learn to create effective reports and dashboards. The program combines theory with intensive practical exercises on real data sets.

Issues

  • Data analysis methodologies

  • Data processing techniques

  • Advanced analytical functions

  • Report design

  • Data visualization

  • Process automation

  • Integration of data sources

  • Statistical analysis

  • Creating dashboards

  • Optimization of analytical queries

  • Data cleaning and validation

  • Exporting and sharing analysis

Benefits

  • The participant will gain practical skills in data analysis using Microsoft Access
  • He or she will develop the ability to create advanced reports and dashboards that present key business metrics
  • Will learn to effectively process and analyze large data sets using advanced analytical techniques
  • Will learn methods for automating analytical processes to increase productivity
  • Will master data visualization techniques to help effectively communicate analysis conclusions
  • Will gain the ability to integrate analysis with various data sources

Who is this training for?

Data analysts using Microsoft Access
Business intelligence professionals getting started with Access
Employees of reporting and controlling departments
Managers in need of data analysis tools
Reporting specialists in small and medium-sized companies
Business analysts looking for effective tools
Employees of financial and controlling departments

Prerequisites

  • Basic knowledge of Microsoft Access
  • Understand the basics of data analysis
  • Experience in working with tabular data
  • Knowledge of basic mathematical and statistical functions

Training program

01

Data preparation and import

  • Structuring data for analysis
  • Data cleaning and validation
  • Create basic analysis
  • Advanced analytical techniques
02

Implementation of analytical functions

  • Create cross-sectional analyses
  • Designing analytical cubes
  • Analysis of trends and patterns
  • Visualization and reporting
03

Designing effective dashboards

  • Create interactive reports
  • Implementation of charts and graphics
  • Reporting automation
04

Integration and export of analyses

  • Linking to external data sources
  • Exporting results to various formats
  • Collaboration with other analytical tools
  • Automation of the analytical process

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 Effective data analysis in Access we recommend: Basic knowledge of Microsoft Access; Understand the basics of data analysis; Experience in working with tabular 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: Data analysts using Microsoft Access; Business intelligence professionals getting started with Access; Employees of reporting and controlling departments.

Adrian Kwiatkowski
Adrian Kwiatkowski 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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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

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