Data Analysis Basics

Data Analysis Basics

Hey there! Join us for "Data Analysis Basics" where you'll learn the fundamentals of crunching numbers like a pro!

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Thu, 29 May 2025 13:00 - 14:00 PDT

Location

Online

Refund Policy

Refunds up to 7 days before event

About this event

Master core data analysis tools—from probability to optimisation—to make smarter decisions and model outcomes efficiently.


Overview:

Data doesn’t just tell a story—it reveals decisions waiting to be made. This course introduces the fundamentals of data analysis, guiding learners through essential topics such as probability, statistical distributions, and decision-making principles. Whether you're trying to make sense of data trends or identify useful patterns, this course keeps things simple without skipping the important bits.

By exploring optimisation strategies and situation modelling, you’ll understand how data can inform smart choices in business and research. We’ll also cover data mining techniques to show how valuable information is extracted from large datasets. It's built for those who want to think logically and act efficiently—minus the fluff, drama, and graphs pretending to be meaningful.


Learning Outcomes:

  • Understand core principles of data analysis and interpretation.
  • Apply probability theory to basic data-related problems.
  • Identify types of probability distributions and their relevance.
  • Evaluate decisions using analytical reasoning and modelling.
  • Explore basic data mining methods and outcome patterns.
  • Use optimisation techniques to assess different situational models.


Who is this Course For:

  • Individuals aiming to improve their decision-making through data.
  • Beginners interested in understanding probability and data logic.
  • Business professionals seeking to analyse information efficiently.
  • Students wanting a clear path into data-related topics.
  • Team leaders looking to interpret data more confidently.
  • Freelancers needing better data structure for client work.
  • Analysts brushing up on fundamental theory and models.
  • Anyone curious about the role of data in everyday decisions.


Career Path:

  • Data Analyst – £30,000 to £45,000 annually
  • Business Intelligence Analyst – £35,000 to £55,000 annually
  • Risk Analyst – £32,000 to £50,000 annually
  • Market Research Analyst – £28,000 to £42,000 annually
  • Operations Analyst – £33,000 to £48,000 annually
  • Data Science Assistant – £30,000 to £46,000 annually

Frequently asked questions

What is data analysis?

Data analysis is the process of collecting, organising, and examining data to discover useful information, patterns, and trends that help in decision-making.

Do I need to know coding to start learning data analysis?

No, many data analysis tools like Excel or Google Sheets require little to no coding. However, learning languages like Python or R can help as you progress.

What kind of data do analysts work with?

Analysts work with numerical data (like sales figures), categorical data (like customer gender or location), and even text or survey responses, depending on the goal.

What are some common tools used in data analysis?

Popular tools include Excel, Google Sheets, Python, R, SQL, and data visualisation platforms like Tableau and Power BI.

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