Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
The Business Analytics: From Data to Decisions programme available on the Emeritus online education platform is designed after rigorous planning and research for candidates to explore the fundamentals and frameworks of data and to help them in making good business decisions.
In this course duration of four months, candidates will get a chance to become familiar with topics like foundations of linear programming, machine learning process, dictionaries in python, boolean variables, solving the problem in excel, operating systems overview and many more. In addition to this, they will also be able to draw insights from data, recommend solutions using analytical techniques and differentiate sub-optimal and optimal solutions for business problems.
Professionals working in the field of data analytics, data science, IT, retail are advised to take this course. Imperial college business school executive education will provide a verified digital certificate to the course takers towards the completion of the programme. The certificate will equip candidates with both confidence and real-time skills.
The Highlights
- The course duration of four months
- Completely online course
- Classes assigned for 4-6 hours per week
- Digital verified certificate by Imperial college business school
- Flexible payment modes available
- 12 months of access to the course material and videos
- A special discount is given for group enrollment
Programme Offerings
- Case Studies
- video lectures
- LIVE Webinars
- assignments
- discussions.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Imperial College Business School, London |
The fees for the course Imperial Business Analytics: From Data to Decisions is -
| Head | Amount |
| Programme fees | £1,673 |
Eligibility Criteria
Certification qualifying details
A verified digital certificate of participation will be provided to the candidates by the Imperial college business school executive education.
What you will learn
During the Business Analytics: From Data to Decisions course:
- Candidates will get knowledge about quantification and detection of correlation
- Using classification and regression trees candidates will be able to identify and detect dataset features
- Candidates will learn the application of analytics techniques for resolving business problems
- Learners will get an overview of how to use descriptive, prescriptive, and predictive analytics for performing real-life problems
- Candidates will gain hands-on experience in predicting results for different clusters and measuring similarities among data clusters
- Learners will be able to analyze the power and limitations of analytics in decision making
- Candidates will learn how to identify issues that can be solved using data and recognize data patterns using clustering techniques
- Using descriptive analytics learners will develop an understanding of data
- Candidates will get the knowledge to address the practical application and feasibility of quantitative decisions
- Learners will gain knowledge to suggest data sets and problems that can be solved optimally by using support vector machines
Who it is for
The Business Analytics: From Data to Decisions programme is created to help candidates develop an understanding of data and its application in business decisions.
The programme is highly suitable for:
- Professionals who are interested in entering the field of data science and analytics
- Professionals working as technical managers who implement analytics in their organization or function.
- Functional managers who want to polish their decision-making skills using data.
- People working as a consultant who is keen to develop their business analytics knowledge
- Anyone working in the field of consulting, telecommunications, education, IT, retail, healthcare, banking, and financial service
Admission Details
The admission procedure of Imperial Business Analytics: From Data to Decisions programme requires candidates to go through the official webpage of the course and to keep their payment details handy.
These steps are to be followed by the candidates:
Step1: The candidates are required to visit the link of the course https://execed-online.imperial.ac.uk/business-analytics
Step2: Now the candidates have to select the “apply now” option
Step3: Then candidates need to click on “start application” and fill in the required details
Step4: The candidates are advised to enter the billing details to make payment using the preferred payment mode
Step5: The candidates can access the course after a successful transaction
Note: Participants can pay the fee in installments, they can find this option in the application form.
The Syllabus
- Introduction to probability theory
- Basics of probability & statistics
- Probability models
- Bayes’ rule and conditional probability
- Total probability
- Bayes’ rule application
- Probability distribution
- Binomial distribution
- Central limit theorem
- Manipulating normal variables
- Operating systems overview
- Variables in python
- Creating and managing lists
- Numerical lists
- Tuples
- Dictionaries in python
- Boolean variables
- Conditional variables
- About functions
- Python demonstration and code manipulation
- What is data?
- Data and decision making
- Estimate statistics of a data set
- Maximum likelihood estimation
- Detection and quantification of correlation
- Outliers
- Linear regression
- Real-life applications
- Introduction to machine learning
- Machine learning process
- Supervised learning
- Forecasting vs inference
- Using nearest neighbours for classification problems
- Predict outcomes in a business context using regression trees
- Classify data using support vector machines
- Measure similarity of data clusters
- Predict outcomes for different clusters
- Machine learning in the real world
- Foundations of linear programming
- Optimisation problems
- Production planning problem
- Capital budgeting problem
- Identifying the constraints
- The optimal solution
- Solving the problem in Excel
- Model business problems as linear programmes
- Integer programming
- Optimisation models
- Tricks-of-the-trade for business decisions
- Real-life applications