Available Dates
Sep-30-2024
London
Oct-28-2024
London
Nov-25-2024
London
Dec-30-2024
London
Dates in Other Venues
Sep-09-2024
Singapore
Sep-09-2024
Paris
Sep-16-2024
Barcelona
Sep-16-2024
Dubai
Sep-23-2024
Kuala Lumpur
Sep-23-2024
Amsterdam
Sep-30-2024
Istanbul
Oct-07-2024
Kuala Lumpur
Oct-07-2024
Istanbul
Oct-14-2024
Paris
Oct-14-2024
Singapore
Oct-21-2024
Barcelona
Oct-21-2024
Dubai
Oct-28-2024
Amsterdam
Nov-04-2024
Istanbul
Nov-04-2024
Kuala Lumpur
Nov-11-2024
Singapore
Nov-11-2024
Paris
Nov-18-2024
Barcelona
Nov-18-2024
Dubai
Nov-25-2024
Amsterdam
Dec-02-2024
Kuala Lumpur
Dec-02-2024
Istanbul
Dec-09-2024
Singapore
Dec-09-2024
Paris
Dec-16-2024
Dubai
Dec-16-2024
Barcelona
Dec-23-2024
Amsterdam
Dec-23-2024
Kuala Lumpur
Dec-30-2024
Istanbul
5 days course
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
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
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
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
Understanding data integrity
Understanding database consistency
Introduction to the ETL process