Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
The course Business Analytics For Strategic Decisions by Emeritus focuses on mentoring the candidates to develop an understanding of business analytics and help professionals in analysing the organisational data for making elaborative choices. The course will work on developing the candidate’s skills in analysing strategic data for an advanced and competitive advantage in the business sector.
This course will elaborate on the fundamental techniques of building and applying functional business analysis strategies which are the key component of finding and amending errors in matters related to analytics. The course will train the candidates in developing an analytical mindset while assisting them in enhancing their data evaluation methods.
Candidates will gain insights on AI that is artificial intelligence techniques and functioning along with learning the tactics of handling large application data. The course will emphasise delivering important knowledge of business analytics like privacy and security of data sets through protective models used in business forecasting for predicting causal analytics.
The Highlights
- Online learning
- Learning per week of 4-6 hours
- Certification by Emeritus
- 2 months of course duration
- Course in association with NUS
- Flexible payment option available
- Special group enrollment pricing available
Programme Offerings
- video lectures
- assignments
- Crowd-sourced activities
- quizzes
- Polls
- Playbook
- Discussion boards
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | NUS Business School, Singapore |
Details of the programme fee for the course Business Analytics For Strategic Decisions by Emeritus are provided as:
Candidates can make the entire fee payment of USD 1,400
The course gives the option of Installment facility as 2 types
Candidates can make the fee payment in 2 instalments. First instalment being of USD 785 and the second instalment of USD 643
The candidates can also pay the fee in 3 instalments. First instalment being of USD 588 and the second as well as the third instalment of USD 441 each
Fee category | Amount in USD | ||
1 | 2 | 3 | |
Pay in full | 1,400 | - | - |
Pay in 2 instalments | 785 | 643 | - |
Pay in 3 instalments | 588 | 441 | 441 |
Note: The candidates can avail of a special discount of 10% on the fee payment if they enrol in a group with their colleagues. Candidates are required to contact the team for details regarding this facility.
Eligibility Criteria
Work experience
The website does not show any information regarding work experience but the application form has a mandatory work experience requirement of at least 5 years.
Education
The course Business Analytics For Strategic Decisions certification course by Emeritus does not require any compulsory formal educational requirement. The candidates can pursue the course without having any prior advanced technical knowledge
Certification qualification details
In order to attain the course certification for Business Analytics For Strategic Decisions by Emeritus the candidates are required to complete the entire course. The candidates are required to fulfil the requirement of completing 4 out of 5 weeks of a playbook for business analytics fully. In addition to this, the candidates need to timely submit the quizzes and assignments allotted by the course instructor. The candidates also need to maintain at least 75% attendance in all the course activities conducted
What you will learn
After successful completion of the course you will learn:
- Candidates will learn the techniques of assessing the organisational needs of data science workers and the technical infrastructure of analytics
- The course will help candidates learn how to classify parameter estimates and variables that are important to the prediction of specific company results
- With this course, candidates will learn the methods of evaluating how to measure
- The candidates will understand evaluating and enhancing the analytical sophistication and consistency of the organisation
- This course will teach the candidates how to deal with problems related to analytics and untapped sources of data in the company or industry
- The candidate will be able to learn the ways of identifying factors that could undermine the data integrity of any organisation or model transparency
- Candidates will be trained with methods of evaluating the organisation's existing data security infrastructure
- Through this course, candidates will learn about identifying and defining AI-related risks for the company and business sector regulations
- The course will enable the candidates in understanding relevant causes and effect variables that may produce biased findings
- The candidates will learn about illustrating variations between predictive and causal analytics
Who it is for
A certified course of Business Analytics For Strategic Decisions by Emeritus is recommended for:
- People who want to enhance the performance functionally by understanding business analytics
- Professional who want to build their knowledge on the role of business analytics in modifying the prospects of the organisation
- The scope of this course is not limited to professionals, a candidate who aims at gaining a detailed understanding of business analytics techniques can be benefitted from the course
Admission Details
Candidates are advised to follow the enrolment procedure for Business Analytics For Strategic Decisions course by Emeritus as given below:
Step 1: To begin with the admission process the candidates should visit the course website -https://nusbsee.emeritus.org/business-analytics?utm_campaign=organic_EmWebsite&utm_medium=EmWebsite
Step 2: Through the link provided above the candidates will be able to gather information related to the course
Step 3: The candidates will find a “apply now” button on the extreme right corner of the course page, wherein the candidates are required to provide their details such as name, email, and work experience
Step 4: As an alternative to the above step the candidates can log in/register with an account on emeritus and thereafter apply for the course
Step 5: Once the candidates have applied for the course and made the required fee payment they can have admittance to the course
The Syllabus
- Identify strategic, managerial, and/or organisational problems related to analytics in your organisation or industry
- Assess your organisation’s level of data analytical maturity
- Articulate a plan for generating organisational value through improved analytical maturity
- Identify high-value data analytics problems and use cases with your organization
- Leverage existing and yet untapped data sources for your organisation
- Evaluate your organisation’s data quality
- Identify data summaries and visualizations relevant to your organizational needs and/or analytics goals
- Identify factors that are important to consider in predicting a given business outcome
- Identify the best analytical model to utilize for a given set of key outcomes and predictors
- Evaluate the most suitable accuracy metrics for your predictive analytics models
- Specify ways to improve the accuracy of a model predicting a given business outcome
- Evaluate organizational needs for data science personnel and data analytics infrastructure
- Articulate differences between causal and predictive analytics
- Identify causal analytics problems relevant to your organisation
- Identify suitable cause and effect variables as well as confounding factors that could bias results
- Learn about key models and methods to infer causal relationships among key business predictors and outcomes
- Identify pertinent AI risks for your organisation and regulations in your industry sector relevant to these risks
- Evaluate the current data protection infrastructure of your organisation
- Identify factors that could compromise your organisation’s data integrity or model transparency
Instructors
NUS Business School, Singapore Frequently Asked Questions (FAQ's)
The candidates need to have at least 75% attendance in all course activities conducted in order to be eligible for the examination.
In case the candidates need tech-related support they can contact the program support team by dropping out an email and the support team will revert to the candidates within 24 hours.
There is no fixed limit on the number of programs that a candidate can pursue at one time; the candidates can apply to a desirable number of courses at the same time.
The course has a duration of 2 months; the candidates will need to invest 4-6 hours of learning each week to complete the entire course.
The tutors and mentors use live webinar teaching techniques for mentoring the candidates along with briefing and debriefing sessions for the assignments to provide suitable guidance throughout the course.
The candidates have to complete the entire course along with maintaining attendance of at least 75%. The candidates have to submit the assignments and quizzes by completing 4 out of 5 weeks from the business analytics playbook.
The course includes orientation week as its first step of the learning journey in which the candidates get to know about the course and its prospects. As a second step, the course provides candidates with weekly goals in which they get assignments and project tasks to enhance their learning. For the concluding step the course offers a doubt clearing session through which the candidates resolve their issues and doubts regarding the lessons.
The certificate of completion provided for Business Analytics For Strategic Decisions by Emeritus does not have any validity period; the certificate provided is valid throughout.
The candidates do not need to purchase any kind of software or platform tools for accessing assignments and project tasks. All the course materials, including software and platform tools, will be provided by the course itself.
Classes will be provided online. Candidates do not need to travel to attend the class. Online classes in the form of video lectures can be accessed from anywhere.