Statistics in MS Excel

Statistics in MS Excel

The course gives a general understanding of using MS Excel in data analysis, hypothesis testing, and time-series analysis. This training is aimed at understanding main statistic methods, their step-by-step implementation, and the interpretation of obtained results rather than memorizing formulae or definitions. Participants will be provided with practical problems for decision-making.

Duration
12 hours
Course type
Online
Language
English
Duration
12 hours
Location
Online
Language
English
Code
OFFICE-003
Training for 7-8 or more people? Customize trainings for your specific needs
Statistics in MS Excel
Duration
12 hours
Location
Online
Language
English
Code
OFFICE-003
€ 300 *
Training for 7-8 or more people? Customize trainings for your specific needs

Description

Unlock the power of statistical analysis with our "Statistics in MS Excel" course.

Designed for professionals and students alike, this course demystifies complex statistical concepts and teaches you how to apply them using Microsoft Excel. Whether you're new to statistics or looking to enhance your analytical skills, this course offers practical knowledge and hands-on experience to make data-driven decisions confidently.

This course covers the essential aspects of statistical analysis using MS Excel, including:

  • Descriptive Statistics: Learn how to summarize and describe data sets effectively.
  • Common Probability Distributions: Understand and work with different probability distributions.
  • Sampling and Estimation: Master techniques for sampling and making statistical estimates.

Additionally, the course includes key topics like hypothesis testing, correlation and regression analysis, and time-series analysis. Participants will engage in hands-on training, applying these concepts to real-world data sets using Excel.

By the end of this course, participants will be able to:

  • Perform descriptive statistical analysis to summarize data.
  • Identify and apply appropriate probability distributions.
  • Implement sampling methods and make accurate statistical estimates.
  • Conduct hypothesis tests to make informed decisions.
  • Analyze relationships between variables using correlation and regression techniques.
  • Apply time-series analysis to understand and forecast trends.

Participants will be equipped to apply these skills practically, enhancing their ability to analyze and interpret data in various professional settings.

certificate
After completing the course, a certificate
is issued on the Luxoft Training form

Objectives

To provide the audience with the understanding that the decision-making process should be based on data analysis, to form skills in the use of MS Excel for data processing, analysis, hypothesis testing, and time-series analysis.

Target Audience

  • Managers
  • Analysts

Prerequisites

  • Basic Knowledge of MS Excel

Roadmap

  • Descriptive Statistics
  • Common Probability Distributions
  • Sampling and Estimation
  • Hypothesis Testing
  • Correlation and Regression
  • Time-Series Analysis
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