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
Companies are attempting to harness innovative technologies in order to maximize productivity, grow into new marketplaces, and compete for a worldwide digitally informed customer base as the Fourth Industrial Revolution proceeds. Organizations are trying to use the flood of data statistics for better decision-making due to the inevitable need to be at the forefront of technology and competition. The Business Analytics online course is a University of Cape Town offering eight weeks program.
There is a growing demand for people who can comprehend and use data analytics since there is a scarcity of experienced people to clean, integrate, and extract useful information from big data. The Business Analytics Training enhances business intelligence skills by using statistical approaches to data sets in order to extract valuable insights and exercise informed decision-making.
The Business Analytics Syllabus explores storytelling, data visualisation and teaches about Structured Query Language(SQL). The course introduces various market-leading analytics and business intelligence software and teaches how to use them for making informed business decisions.
The Highlights
- 8 weeks duration
- Downloadable resources
- Course provider Getsmarter
- Online learning
- Split fee option available
- University of Cape Town offering
- 7-10 hours per week
- Assessments and projects
- Shareable certificate
- Self-paced learning
Programme Offerings
- Self-paced learning
- quizzes
- online learning
- video lectures
- Live polls
- Infographics
- Offline resources
- Case studies.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | UCT Cape Town |
The Business Analytics fee is Rs. 75,454. The course fee should be paid in one lump sum or in two installments. The fee can be paid with an EFT/bank transfer/credit/debit card. If the student elects to pay in two installments, a 3% administration cost will be added to the total fee cost.
Fee type | Fee amount in INR |
Business Analytics fees | Rs. 75,454 |
Installment Plan
| 1st installment | Required before: 2025-02-25 | Amount Due: ₹37,727.00 INR |
| 2nd installment | Required before: 2025-03-27 | Amount Due: ₹37,727.00 INR |
Eligibility Criteria
Certification Qualifying Details
A trainee must complete all elements of the course, including assignments, practicals, live polls, and surveys, in order to qualify for the UCT’s Business Analytics Certification. Students are evaluated via a series of practice problems and tests. A candidate must satisfy all of the requirements listed in the course material to be eligible for the qualification.
What you will learn
After completing the UCT’s Business Analytics online training, candidates will learn to convey and deliver meaningful findings within an organisation using business intelligence technologies such as Tableau. Candidates will learn business and data analysis for applying them to the decision-making process.
Who it is for
- Functional analysts wish to use statistical and analytical models to make sound business decisions.
- Administrators and decision-makers who want to use data to influence operational and strategic choices and who want to learn new technologies.
- individuals interested in an analytical job and becoming acquainted with data visualisation and analysis.
Admission Details
To register for UCT's Business Analytics training online, trainees must follow the steps outlined below.
Step 1. Go to the official course webpage.
Step 2. Click on the ‘Register Now’ button available on the course page.
Step 3. Mark the permission box to confirm that you agree to the terms & conditions.
Step 4. Create a profile on the getsmarter platform and continue.
Step 5. Provide the billing address and continue to the payment page.
Step 6. Pay the amount of the fee and start learning.
The Syllabus
- Identify the purpose and application of business analytics
- Define business analytics
- Discuss the role of a data analyst
- Use Tableau to summarise and visualise a data set
- Identify the value of descriptive statistics and data visualisation
- Review how to use calculated fields in Tableau
- Recognise the uses of SQL
- Discuss the concept of business intelligence
- Analyse the insights extracted from data
- Practice creating dashboards and stories in Tableau
- Determine the aim and appropriate method of an analysis
- Discuss the importance of hypothesis testing
- Discuss the application of factor analysis to business
- Define factor analysis, its purpose, and its assumptions
- Apply factor analysis to a data set using Python
- Reflect on the use of factor analysis
- Analyse the results of factor analysis in a business context
- Discuss the application of cluster analysis to business
- Define cluster analysis, when it is applied, and its assumptions
- Apply the different methods of cluster analysis using Python
- Reflect on the use of cluster analysis
- Analyse the results of cluster analysis in a business context
- Discuss the application of multiple regression analysis in business
- Define multiple regression analysis, when it is used, and its assumptions
- Use Python to perform a multiple regression analysis on a data set
- Evaluate the use of multiple regression analysis
- Analyse the output from a multiple regression model
- Discuss the application of logistic regression to business
- Define logistic regression, when it is used, and its assumptions
- Use Python to perform logistic regression
- Critique the use of logistic techniques
- Analyse the output from a logistic regression
- Discuss the applications of classification trees
- Define classification trees, their purpose, and their business applications
- Apply classification trees to a data set using Python
- Reflect on the use of classification tree analysis
- Analyse the results of a classification tree analysis
- Illustrate key insights extracted from data
- Recognise the value in reporting insights extracted from data using statistical analyses
- Analyse the results of an analysis in a business context
- Discuss the future direction of data and how it will be applied
- Compile a report communicating the results of your business analysis