
Advanced Data Analysis using industry accepted and widely popular statistical package
Course Title: Advanced Data Analysis using industry accepted and widely popular statistical package
Certificate/Award
- Digital Certificate will be delivered to successful Candidates.
- Top 15 performer will receive award 50 Euro each.
Overview:
The purpose of this course is to prepare participants for a possible future role as a practicing statistician. This course introduces how to present, analyze and interpret data using industry standard software package. In every field of work, to be confident and competent in analyzing data and in drawing conclusions are extremely crucial and phenomenally important. This course will help the trainees to develop the skills using statistical software package/s. The package/s that will be used to demonstrate is/are widely used in business, industry, government, commerce and the education and health sectors. As mentioned, the classes will be conducted using industry renowned software package/s but the student might follow any standard package/s to complete the given assignments.
Who can attend?
The course is recommended for faculty members, graduate students, business analysts and other researchers who want to enhance their data analysis capability.
Requirements:
- The course is built from scratch so no prior knowledge on any Software Package or Statistics is required. The course will cover all the required details involving theoreticl and practical aspects of statistics.
- The participants must have a laptop to practice the lessons to be covered under this course.
- The participants need to install coveted software package/s on their laptops.
Venue: Virtual through Zoom Application
Course Duration: One month, Total 8 Classes, 1 Classes/Week
Class Duration: 2 Hours
Class Time: Saturday 04:00PM—06:00PM
Learning Objectives:
The objective of this course is to train participants in conducting statistical analysis using software package/s to analyze data – as data summaries, as predictive instruments, and as tools for scientific inference. The participants of this course are expected-
- to develop advanced expertise in formulating and implementing statistical approaches to practical problems in a wide variety of subject areas.
- to integrate materials covered in various lecture courses utlising skills developed through practical work
- to solve real-life problems using computerized statistical application/s
- to gain advanced knowledge on statistical computing using the statistical package Applications.
Intended Learning Outcomes:
At the end of this course participants will be able to:
- familiarize the various statistical tools and techniques.
- gain proficiency in how to analyze a number of statistical procedures using computerized Application/s.
- implement the various stages of advanced statistical analysis appropriately using computer applications and interpret the output of the procedures of the application.
- present the main results and conclusions in concise manners.
- work independently on practical data analysis problems.
Evaluation Criteria:
- Assignments 50 marks
- Midterm exam 20 marks
- Final exam 30 marks
Course Material:
Lecture sheets/Slides/Book
Text Book:
M. A. Salam Akanda (2018). RESEARCH METHODOLOGY- A Complete Direction for Learners, 2nd Edition, Akanda & Sons Publications, Dhaka, Bangladesh
More : https://dle.asiaconnect.bdren.net.bd/upcoming_event/dle6/
Week | Lesson | Topics | Type |
1. | Introduction to Statistics |
| Theory |
2. | Introduction to Computer Applications on Statistical Analysis and Data Entry |
| Theory & Practical |
3. | Computing Measures of Central Tendency Using Computer Application/s |
| Theory & Practical |
4. | Computing Measures of Dispersion Using Computer Application/s |
| Theory & Practical |
5. | Creating Graphs and Cross Tables Using Computer Application/s |
| Practical |
6. | Correlation Analysis Using Computer Application/s |
| Theory & Practical |
7. | Regression Analysis Using Computer Application/s |
| Theory & Practical |
8. | Test of Hypothesis Using Computer Application/s |
| Theory & Practical |
Class | Date | Time | Topics | Type |
1. | October 03, 2020 (Saturday) | 04:00 pm to 06:00 pm [Dhaka Time] | Introduction to Statistics:
| Theory |
2. | October 10, 2020 (Saturday) | 03:30 pm to 05:30 pm [Dhaka Time] | Introduction to Computer Applications on Statistical Analysis and Data Entry:
| Theory & Practical |
3. | October 17, 2020 (Saturday) | 03:30 pm to 05:30 pm [Dhaka Time] | Computing Measures of Central Tendency Using Computer Application/s:
| Theory & Practical |
4. | October 24, 2020 (Saturday) | 03:30 pm to 05:30 pm [Dhaka Time] | Computing Measures of Dispersion Using Computer Application/s:
| Theory & Practical |
5. | October 31, 2020 (Saturday) | 03:30 pm to 05:30 pm [Dhaka Time] | Creating Graphs and Cross Tables Using Computer Application/s:
| Practical |
6. | November 07, 2020 (Saturday) | 03:30 pm to 05:30 pm [Dhaka Time] | Correlation Analysis Using Computer Application/s:
| Theory & Practical |
7. | November 14, 2020 (Saturday) | 03:30 pm to 05:30 pm [Dhaka Time] | Regression Analysis Using Computer Application/s:
| Theory & Practical |
8. | November 21, 2020 (Saturday) | 04:00 pm to 06:00 pm [Dhaka Time] | Test of Hypothesis Using Computer Application/s:
| Theory & Practical |