Data Analysis, Modeling & Simulation Using Excel Course

The course on data analysis using excel will train you the advanced ideas associated with Statistics and Data Analysis, as well as assist you in making use of the learned concepts.

Program Objectives:

· Descriptive & Inferential Statistics.

· Statistical calculations.

· comprehend statistics using excel

Duration: 5days

Who Can Attend?

Statisticians, analysts, or perhaps budding data scientists ready to learn analysis of information with Excel.

Program Overview

· Statistics Introduction as well as Definitions

· Types of Data within Excel - Text, Date/Time, Numbers, Logica

· Qualitative vs. Quantitative Data or Continuous vs. Discrete

· Sample and Population (Theory)

· Understanding Data Types

· Understanding Formulas as well as Functions

· Relative vs Absolute Reference

· Correlation as well as Linear Regression

· Coefficient of Determination

· Manual Calculation

· Slope, Intercept

· Forecast, Linear, Trend

· Regression applying Data Analysis Pack

NB: The above are just samples of what will be covered.

PLEASE NOTE

• All the participants should be conversant with the English language.
• All our courses involve a mix of one on one presentations, web based tutorials, group discussions, and practical exercises.
• All courses can be tailor made and adjusted to meet the client’s needs.
• We have a team of professional experts who work as professionals and trainers in their respective fields.
• Each participant will get an Uphilos Consultancy certificate, upon completion of each course.
• All our training sessions are held at Uphilos Center. For groups above five people we can train at any location in Kenya, above ten people any location within East Africa, and above twenty people at any location as per the client’s specifications.
• Participants will be responsible for their travel, dinner, airport transfers, and other personal expenses.
• Accommodation will be arranged upon request at a discounted price.
• All payments should be made two weeks prior to the training for better logistics. Proof of payment should be sent to [email protected]