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Technologies / Data & Analytics

Excel in statistical analysis of data

The two-day training provides a practical approach to using Microsoft Excel in statistical data analysis. The workshop program covers both basic and advanced statistical methods, with particular emphasis on their practical application in a business environment. Participants work on real data sets, learning to interpret results and draw business conclusions. The training methodology is based on practical exercises, where each participant performs analyses independently under the guidance of an experienced statistician.

Issues

Methods of descriptive statistics. Testing of statistical hypotheses. Correlation and regression analysis. Statistical inference. Analysis ToolPak in Excel. Visualization of statistical data. Analysis of time series. Statistical modeling. Automation of analysis. Interpretation of statistical results. Reporting of statistical analysis. Detection of anomalies in data.

Benefits

  • The participant will develop practical skills in using the statistical tools available in Excel to analyze business data
  • Will master techniques for identifying and interpreting key statistical measures in a business context
  • He or she will gain the knowledge to independently perform statistical tests and interpret their results
  • Will learn to select appropriate statistical methods for specific analytical problems
  • Will develop the ability to present the results of statistical analysis in an accessible form to a business audience
  • Will be able to automate repetitive statistical analyses

Who is this training for?

The program is dedicated to business analysts working with quantitative data
The training will work well for market researchers conducting statistical analysis
A course suitable for quality professionals analyzing process data
The workshop is directed to employees of research and development departments using statistical methods
The program is also tailored for marketers analyzing the effectiveness of campaigns
Attendees may also include those in sales departments conducting trend analysis

Prerequisites

  • Basic knowledge of descriptive statistics
  • Experience working with Excel spreadsheets
  • Ability to interpret basic statistical charts
  • Understanding of basic data analysis concepts

Training program

01

Measures of central tendency and dispersion

  • Analysis of data distributions
  • Techniques for visualizing schedules
  • Identification of outliers
02

Statistical inference

  • Statistical hypothesis testing
  • Correlation and regression analysis
  • Confidence intervals and estimation
  • Interpretation of test results
  • Advanced statistical analysis
  • Analysis of variance (ANOVA)
03

Non-parametric tests

  • Time series analysis
04

Predictive modeling

  • Analytical tools
  • Analysis ToolPak add-on
  • Excel statistical functions
05

Automation of analysis

  • Reporting of results

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 Excel in statistical analysis of data we recommend: Basic knowledge of descriptive statistics; Experience working with Excel spreadsheets; Ability to interpret basic statistical charts.

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: The program is dedicated to business analysts working with quantitative data; The training will work well for market researchers conducting statistical analysis; A course suitable for quality professionals analyzing process data.

Patrycja Petkowska
Patrycja Petkowska 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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