Data Analysis: Introduction (Part 1)
|Dates:||September 3-27, 2019|
|Meets:||Online; work at your own pace.
|Instructor:|| LERN |
|Fee:|| $195.00 |
An email invitation will be sent by the Wednesday prior to the course start date with details to login and manage your online course.
Please NOTE to eliminate the possibility of the email invitation filtering as spam, add firstname.lastname@example.org to your Safe Senders List. Call 440-525-7116 if you encounter any problems.
There are 19 openings remaining at this time.
Data Analysis is quickly becoming one of the most sought-after skills in the workplace. Companies have vast amounts of data, but it is rare to have someone with the ability to analyze that data to see trends and make predictions. This course will give you a basic understanding of how to analyze data in a business setting. Businesses look for candidates with an understanding of how to analyze the data they have been collecting; this course will help you start on that journey.
Unit 1 Understanding Data
-Identify sources of Data
-Discover methods of Collecting Data
-Examine Quantitative Data
-Examine Qualitative Data
Unit 2 Processing Data
-Introduction to Statistics
-Determine the Appropriate Statistical Method for use in various scenarios
-Identify methods of Sorting and Filtering Data
Unit 3 Analyzing Data
-Discuss Probability and the Normal Distribution
-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
-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.
-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.
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.
About Online Learning
Online learning is a fun, enjoyable and very productive way to learn. Millions of people are learning online each year. You will engage with and get to know the instructor and other participants. You may make friends. It's easy. It's fun.
How the Course Works
It's easy to participate in this online course! An email invitation will be sent by the Wednesday prior to the course start date with details to login and manage the course. You will be given a web address to go to enter the classroom along with a password. Use your email address and password to gain access.
Once inside the online classroom, here's what you can expect.
Participate when you want
You can participate any time of day or evening. The online classroom is open 24 hours a day, seven days a week. There are no live real-time requirements or meetings. You decide when you participate. For the best learning, participants should log into the course on two to three different days of the week.
What you will do
For each unit, you will:
- Access the online readings
- Listen to the audio presentation for the unit and view the slides
- Take a self-quiz to see how much you have learned
- Engage in written online discussion with your instructor and other participants
- Make comments on the discussion board (try to make one or more comments at two to three different times each day to keep up with the conversation).
The content (readings, audio lectures, slides) and self-quizzes are accessible for the entire course, so you can work ahead or go back and review again at your convenience.
The discussion for each unit lasts one week. All comments are made in writing (no audio required) and can be made at any time of the day or night. Your instructor will log into the discussion area at least once a day and answer questions, make comments and respond to comments by you and the other participants. We encourage you to make two or three comments each day to maximize your learning and enjoyment of the course.
Still have questions?
We are here for you! Call 440.525.7116
or send an e-mail to email@example.com
and we will help in any way we can.