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Data Analytics - Foundation 2-day course

Course Highlights

Data Analytics is becoming a mission-critical skill for all organisations. On this practical 2 day course you will learn how to:

  1. Perform Data Analysis properly using Microsoft Excel
  2. Use graphs, charts and advanced visuals to analyse data for business insights
  3. Prove your analysis is valid and significant
  4. Avoid the common Data Analysis mistakes

This course is designed for students who are new to Data Analytics or who would like to hone/formalise their Data Analytic skills. You will have lots of hands-on, practical tasks and examples to play with during the course.

Our goal is to ensure you have the knowledge and confidence to apply your new Data Analytics skills after the course.

Students who benefit most from this course have intermediate Excel skills and are comfortable with basic maths skills.


Our Course Tutors:

Data Analytics is a fast moving world. Hence all our instructors are data analytics practitioners, spending at least 90% of their time working in industry.

You will be taught by one Ireland's leading data analytics experts. Someone who eats, sleeps and breathes data analytics for a living. But has experience to simplify and teach data analytics in a classroom environment.

Course Includes

  • Trigraph course folder pack which includes note-taking pad, copies of the presentation slides and quick reference guides
  • Refreshments throughout the days (Tea/Coffee)
  • Lunch


Summary of the Data Analytics Course Content

Day 1

  • How to run Data Analysis successfully
  • CRISP-DM (Cross-Industry Standard Process for Data Mining) Methodology
  • Guide to Using Excel as an advanced Data Analysis tool
  • Excel Data Analysis functions
  • Excel Graphs and Charts
  • Pivot tables
  • Goal Seek & Scenario Manager
  • Data Tables
  • Data Analysis functions
  • Grouping & Outlining Data
  • Avoiding Common Data Analysis Mistakes
  • Data Types & Attributes
  • Analysing Data Distributions for Business Insights

  • Day 2

  • Using Hypothesis Testing to Verify Results
  • t-tests
  • One way ANOVA
  • Paired t-test
  • Creating Powerful Visuals to Analyse Data
  • Time Series Charts
  • Scatter Plots
  • Pareto Charts
  • Bar Charts
  • Box & Whisker Charts

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