course | Data Analysis Techniques
Advance your career with Data Analysis Techniques. Hands‑on learning in Dubai covering data analysis techniques and more. Enroll today.
IT-521 | Data Analysis Techniques
Course Sector : Information Technology
| Duration | Date from | Date to | Course Venue | Course fees | Book a course |
|---|---|---|---|---|---|
| 5 Days | 31/08/2026 | 04/09/2026 | Dubai | $4,250 | Book now |
| 5 Days | 28/12/2026 | 01/01/2027 | Dubai | $4,250 | Book now |
| 5 Days | 10/01/2027 | 14/01/2027 | Riyadh | $4,250 | Book now |
| 5 Days | 21/06/2027 | 25/06/2027 | Vienna | $4,950 | Book now |
Course Introduction
In this comprehensive training program, participants will embark on a journey through essential data analysis techniques, spanning from logical and reliable data analysis to advanced methods like regression analysis and analysis of variance.
Over five enriching days, participants will delve into topics such as descriptive statistics, pivot tables, and scenario analysis, equipping them with the skills to handle diverse datasets effectively. Through a blend of theoretical insights and hands-on exercises, participants will master techniques for analyzing data mode shapes, performing regression analysis, and utilizing data-driven methods for predictive analytics.
The course culminates with an exploration of analysis of variance and a demonstration of artificial intelligence applications, providing participants with a well-rounded understanding of data analysis techniques and their practical applications.
Course objective
- Develop proficiency in importing and analyzing data in Excel, employing best practices for accurate and reliable analysis.
- Master descriptive statistics techniques to derive meaningful insights from data and perform frequency analysis effectively.
- Utilize pivot tables and pivot charts to visualize and interpret complex datasets, addressing challenges such as noisy and incomplete data and outliers.
- Acquire skills in data mode shape analysis, including plotting data against time, generating mode shapes, and interpreting time series analyses.
- Enhance scenario analysis capabilities through dynamic and interactive spreadsheets, employing techniques like what-if analysis and sensitivity measurement to assess different scenarios' impact on outcomes.
Course audience
This training program is designed for professionals across various industries seeking to enhance their data analysis skills and proficiency in utilizing Excel and other analytical tools effectively.
Course Outline | Day 01
Logical and Reliable Data Analysis, Descriptive Statistics, and Pivot Tables
- Importing data into Excel
- Best practice when analyzing data
- Analyzing and representing coded data
- Descriptive statistics and their real meanings
- Performing a frequency analysis
- The use of pivot tables and pivot charts
- Noisy and incomplete data, statistical significance and dealing with outliers
Course Outline | Day 02
Data Mode Shape Analysis
- Plotting data against time
- Generating data mode shapes
- Fitting curves to data
- Correlating mode shape to time-based events
- Interpreting time series analyses
- Moving average calculations
Course Outline | Day 03
Scenario Analysis and Interactive Spreadsheets
- Representing analytical problems as multi-input, single-output (MISO) systems
- Deterministic systems analysis
- What if and visual scenario analysis
- Dynamic/interactive spreadsheets and the use of forms control
- Moving window, conditional, and adaptive calculations
- Measuring the sensitivity of calculated variables
Course Outline | Day 04
Regression Analysis and Correlation
- Equations of curves
- The prediction of future behavior using data shape – regression analysis
- Linear, polynomial, exponential and power curve fits
- The dangers of over-fitting
- Data end effects
- Goodness of fit (sum of square error – SSE) and R2
- Evaluating equations, solving equations, and using Solver
- Correlation and causality
Course Outline | Day 05
Data Driven Methods and Analysis of Variance
- Non-deterministic system
- Data-driven methods
- One-step-ahead future prediction using data science (multivariate correlation)
- Single-factor analysis of variance (ANOVA)
- Two-factor analysis of variance
- A demonstration of artificial intelligence – the travelling salesman problem
BOOST’s Professional Attendance Certificate “BPAC”
BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.
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