CODE: ITDA04
DURATION: 5 Days
CERTIFICATIONS: CPD
This course is designed to equip participants with practical skills to analyze, visualize, and interpret data using two powerful tools; Microsoft Excel and the R programming language. The course begins with Excel-based techniques for data cleaning, statistical analysis, and dashboard creation, then progresses to R for more advanced data manipulation, automation, and predictive modeling. Participants will learn how to draw actionable insights from data, apply statistical methods, and present findings effectively.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain knowledge and skills to:
Use Excel to clean, manipulate, and visualize data effectively.
Apply statistical techniques such as regression analysis, hypothesis testing, and descriptive statistics using Excel and R.
Perform advanced data analysis tasks using R, including data wrangling and transformation.
Build and interpret predictive models in R for forecasting and decision-making.
Create interactive data visualizations and dashboards in Excel and R.
Automate data analysis processes and workflows using R programming.
Understand and apply key concepts in data analytics to real-world business and research problems.
Present data insights clearly and effectively using graphs, tables, and reports.
Integrate data from multiple sources and prepare it for analysis in both Excel and R.
Build confidence in using both Excel and R as complementary tools for data analytics.
At the end of this course you’ll understand:
This course is tailored for data analysts, business professionals, researchers, and anyone seeking to build or strengthen their data analytical skills. It benefits individuals who are comfortable with Excel and want to advance into more sophisticated analysis using R, as well as those in roles that require data-driven decision-making, reporting, or performance monitoring. Professionals working in fields like finance, marketing, operations, healthcare, and education will find this course particularly useful for turning raw data into meaningful insights.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
