Professional Training

Data Analysis Fundamentals

London Premier Centre, In London (+7 locations)
Length
5 days
Price
3,750 - 4,600 GBP excl. VAT
Next course start
29 April, 2024 (+65 start dates)
Course delivery
Classroom
Length
5 days
Price
3,750 - 4,600 GBP excl. VAT
Next course start
29 April, 2024 (+65 start dates)
Course delivery
Classroom
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Course description

The world is becoming more and more data-driven, with endless amounts of data available to work with. Big companies like Google and Microsoft use data to make decisions, but they’re not the only ones.

Data analysis is used also by small businesses, retail companies, in medicine, and even in the world of sports. It’s a universal language and more important than ever before. It seems like an advanced concept but data analysis is really just a few ideas put into practice.

Data analysisisimportantin business to understand problems facing an organisation, and to exploredatain meaningful ways. Datain itself is merely facts and figures.Data analysisorganises, interprets, structures and presents thedatainto useful information that provides context for thedata.

The main purpose of the Data Analysis Fundamentals training course is to give the attendees a practical knowledge and good understanding of real-world data analysis . The course includes data analysis process, visualisations, data sharing, and creating professional and easy to understand dashboards.

Upcoming start dates

Choose between 65 start dates

29 April, 2024

  • Classroom
  • London

6 May, 2024

  • Classroom
  • Istanbul

6 May, 2024

  • Classroom
  • Kuala Lumpur

13 May, 2024

  • Classroom
  • Paris

13 May, 2024

  • Classroom
  • Singapore

20 May, 2024

  • Classroom
  • Barcelona

20 May, 2024

  • Classroom
  • Dubai

27 May, 2024

  • Classroom
  • Amsterdam

27 May, 2024

  • Classroom
  • London

3 June, 2024

  • Classroom
  • Istanbul

3 June, 2024

  • Classroom
  • Kuala Lumpur

10 June, 2024

  • Classroom
  • Paris

10 June, 2024

  • Classroom
  • Singapore

17 June, 2024

  • Classroom
  • Barcelona

17 June, 2024

  • Classroom
  • Dubai

24 June, 2024

  • Classroom
  • Amsterdam

24 June, 2024

  • Classroom
  • London

1 July, 2024

  • Classroom
  • Istanbul

1 July, 2024

  • Classroom
  • Kuala Lumpur

8 July, 2024

  • Classroom
  • Paris

8 July, 2024

  • Classroom
  • Singapore

15 July, 2024

  • Classroom
  • Barcelona

15 July, 2024

  • Classroom
  • Dubai

22 July, 2024

  • Classroom
  • Amsterdam

29 July, 2024

  • Classroom
  • London

5 August, 2024

  • Classroom
  • Istanbul

5 August, 2024

  • Classroom
  • Kuala Lumpur

12 August, 2024

  • Classroom
  • Paris

12 August, 2024

  • Classroom
  • Singapore

19 August, 2024

  • Classroom
  • Barcelona

19 August, 2024

  • Classroom
  • Dubai

26 August, 2024

  • Classroom
  • Amsterdam

26 August, 2024

  • Classroom
  • London

2 September, 2024

  • Classroom
  • Istanbul

2 September, 2024

  • Classroom
  • Kuala Lumpur

9 September, 2024

  • Classroom
  • Paris

9 September, 2024

  • Classroom
  • Singapore

16 September, 2024

  • Classroom
  • Barcelona

16 September, 2024

  • Classroom
  • Dubai

23 September, 2024

  • Classroom
  • Amsterdam

30 September, 2024

  • Classroom
  • London

7 October, 2024

  • Classroom
  • Istanbul

7 October, 2024

  • Classroom
  • Kuala Lumpur

14 October, 2024

  • Classroom
  • Paris

14 October, 2024

  • Classroom
  • Singapore

21 October, 2024

  • Classroom
  • Barcelona

21 October, 2024

  • Classroom
  • Dubai

28 October, 2024

  • Classroom
  • Amsterdam

28 October, 2024

  • Classroom
  • London

4 November, 2024

  • Classroom
  • Istanbul

4 November, 2024

  • Classroom
  • Kuala Lumpur

11 November, 2024

  • Classroom
  • Paris

11 November, 2024

  • Classroom
  • Singapore

18 November, 2024

  • Classroom
  • Barcelona

18 November, 2024

  • Classroom
  • Dubai

25 November, 2024

  • Classroom
  • Amsterdam

25 November, 2024

  • Classroom
  • London

2 December, 2024

  • Classroom
  • Istanbul

2 December, 2024

  • Classroom
  • Kuala Lumpur

9 December, 2024

  • Classroom
  • Paris

9 December, 2024

  • Classroom
  • Singapore

16 December, 2024

  • Classroom
  • Barcelona

16 December, 2024

  • Classroom
  • Dubai

23 December, 2024

  • Classroom
  • Amsterdam

30 December, 2024

  • Classroom
  • London

Suitability - Who should attend?

Data Analysis Fundamentals training course, is ideal for :

  • Data architects
  • Data scientists
  • Data analysts
  • Accounting and finance professionals, especially those interested in learning and applying data analysis techniques to help their organizations make informed, data-driven business decisions.

Outcome / Qualification etc.

At the end of the Data Analysis Fundamentals training course, PartiPnt will be able to :

  • To provide delegates with both an understanding and practical experience of a range of the more common analytical techniques and representation methods for numerical data.
  • To give delegates the ability to recognize which types of analysis are best suited to particular types of problems.
  • To give delegates sufficient background and theoretical knowledge to be able to judge when an applied technique will likely lead to incorrect conclusions.
  • To provide delegates with a working vocabulary of analytical terms to enable them to converse with people who are experts in the areas of data analysis, statistics and probability, and to be able to read and comprehend common textbooks and journal articles in this field.
  • To introduce some basic statistical methods and concepts.
  • To explore the use of Excel 2010 or 2013 for data analysis and the capabilities of the Data Analysis Tool Pack.

Training Course Content

Day 1

Introduction to data analysis solutions

  • Recognize the Value of Using Data to Answer Questions and Address Business Issues
  • Explain How Data Has Become the Strategic Business Asset It Is Today
  • Data analytics and data analysis concepts
  • Introduction to the challenges of data analytics
  • Volume – data storage
  • Introduction to Amazon S3
  • Introduction to data lakes
  • Introduction to data storage methods

Day 2

Velocity – data processing

  • Discover Usable Data: Its Source, Type, Value, Quality, Location, and Relationships
  • Profile the Data to Determine What Is Important or Relevant
  • Organize and Manage Data Appropriately
  • Acquire Data from Any Source
  • Introduction to data processing methods
  • Introduction to batch data processing
  • Introduction to stream data processing

Day 3

Variety – data structure and types

  • Introduction to source data storage
  • Introduction to structured data stores
  • Introduction to semistructured and unstructured data stores
  • Identify and Resolve Problems Associated with Data Collection
  • Articulate the Pros and Cons of Data Manipulation
  • Determine If Data Samples Are Adequate
  • Create a Table That Is Ready to Be Analyzed

Day 4

Value. Reporting, business intelligence and Analyzing the Data

  • Introduction to analysing data

  • Introduction to visualizing data

  • Understand Which Data-Analysis Tools Best Answer Common Analytical Business Questions

  • Articulate How the Microsoft® Excel Analysis ToolPak and Other Programs Can Be Used for Advanced Data Analysis

  • Choose the Appropriate Tool and Technique to Analyze Your Data

  • Putting the pieces together

Day 5

Veracity – cleansing, transformation

  • Understanding data integrity

  • Understanding database consistency

  • Introduction to the ETL process

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London Premier Centre
47-49 Park Royal Road
NW10 7LQ London

London Premier Centre

London Premier Centre is a UK leading training provider based in London and specialises in international short courses. Our inspiring, comprehensive portfolio of more than 400 professional development courses and seminars covers a wide range of professions from Administration, Leadership,...

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