LRN0060 - Introduction to Data Analysis
205864
Delivery Options
WEB-Online (Self Paced w/ No campus attendance)
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Course Description
Data Analysis is a highly sought-after skill in today's workplace. This course provides a foundational understanding of analyzing business data, identifying trends, and making predictions. It’s ideal for those looking to gain analytical skills. Register for this class or the full Digital Badge program for a credential.
Course Outline
Unit 1Understanding Data
- Identify sources of Data
- Discover methods of Collecting Data
- Examine Quantitative Data
- Examine Qualitative Data
Unit 2
Processing Data
Processing Data
- Introduction to Statistics
- Determine the Appropriate Statistical Method for use in various scenarios
- Identify methods of Sorting and Filtering Data
- Categorize Data
Unit 3
Analyzing Data
Analyzing Data
- Discuss Probability and the Normal Distribution
- Perform Trend Analysis
- Perform Breakeven Analysis
- Understand basic Statistical Modelling
Unit 4
Interpreting and Presenting Results
- Design Professional-looking Tables
- Generate Effective Charts
- Create Pivot Tables and Pivot Charts
- Compile a Dashboard for Management
About Your Instructor:
With over 25 years’ experience in transforming data, John Rutledge has worked with a variety of companies to analyze their data and help make business decisions. From implementing systems that perform data collection to scrubbing existing data and performing analysis, John has been involved in all levels of data management. Currently the owner of a Consultancy firm, John works regularly with businesses of all sizes assisting them in understanding and managing their data. He is familiar with many analysis and reporting tools that are used to distill complex amounts of data down to a level that can be used to make decisions at an Executive or Business Unit level.
Learner Outcomes
Course Outcomes- The student will be able to distinguish between quantitative and qualitative data and give examples of a variety of sources of that data.
- The student will discover a number of different Statistical methods and identify methods of sorting, filtering and categorizing that data.
- The student will be able to compare and contrast the results of their analysis to “normal” results and be able to draw conclusions from those comparisons that are supported by the data.
- The student will be able to effectively summarize the results of their analysis and describe how these results are meaningful in a business context.
Notes
Students need to have Microsoft Excel to complete this certificate.
Course Objectives
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Acquire the ability to identify potential sources of data and distinguish between quantitative and qualitative data.
- Learn to identify and describe a variety of analysis tools that will assist in processing data.
- Demonstrate basic data analysis techniques and show how this analysis can contribute to a business’ future growth.
- Learn how to effectively communicate the results of your analysis.
Testimonials
“It was challenging and informative. I learned a great deal in the course that can be immediately applied in my job. Thank you”-Brenda Kohl, Cincinnati, OH"The ability to log on at odd hours was incredibly valuable to me! This course was just what I had hoped for. Thank you John." -James Martin, Dallas, TX
"This was a terrific course. I found myself excited to start studying each day. It explained all aspects of the course clearly." -Brenda Green, Durham, NC
Applies Towards the Following Digital Badges
- Data Analysis Digital Badge- Online : Required Courses
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