Data Analysis Fundamentals
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Data Analysis Fundamentals Course
Introduction:
In today's data-driven world, the availability of vast amounts of data has become increasingly prevalent. It's not just big companies like Google and Microsoft that rely on data to make informed decisions; data analysis is now utilized by small businesses, retail companies, medical professionals, and even within the realm of sports. Data analysis has become a universal language and is more critical than ever before. While it may seem like a complex concept, at its core, data analysis is simply putting a few key ideas into practice.
Within the business landscape, data analysis plays a vital role in understanding the challenges that organizations face and exploring data in meaningful ways. Raw data, by itself, is merely a collection of facts and figures. Data analysis takes that data, organizes it, interprets it, structures it, and presents it in a way that transforms it into valuable information with contextual meaning.
The primary objective of the Data Analysis Fundamentals training course is to provide attendees with practical knowledge and a comprehensive understanding of real-world data analysis. This course covers the data analysis process, visualization techniques, data sharing methods, and the creation of professional and easily understandable dashboards. By participating in this course, you will gain the necessary skills to effectively analyze data, derive meaningful insights, and present information in a way that drives informed decision-making.
Whether you are a business professional, a researcher, or an aspiring data analyst, this training course will equip you with the tools and knowledge needed to harness the power of data and leverage it to its fullest potential.
Course Objectives:
At the end of this Data Analysis Fundamentals Training Course, learners will be able to do:
- 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.
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.
Course Outlines:
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
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
Variety – data structure and types
- Introduction to source data storage
- Introduction to structured data stores
- Introduction to semi structured 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
Value. Reporting, business intelligence and Analyzing the Data
- Introduction to analyzing data
- Introduction to visualizing data
- Understand Which Data-Analysis Tools Best Answer Common Analytical Business Questions
- Articulate How the Microsoft® Excel Analysis Tool Pak and Other Programs Can Be Used for Advanced Data Analysis
- Choose the Appropriate Tool and Technique to Analyze Your Data
- Putting the pieces together
Veracity – cleansing, transformation
- Understanding data integrity
- Understanding database consistency
- Introduction to the ETL process