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
Today business leaders know that to stay ahead of the curve, analytics is key. Industry verticals are leveraging data-driven decisions to drive greater agility and enable stronger business cases. As a business professional, if you are looking to develop your data fluency, enroll in the Business Analytics for Leaders - From Data to Decisions course on Emeritus.
The two-month-long training familiarises you with how AI intersects with data analytics. You need to devote 4-6 hours weekly to complete the course. Besides, in this Business Analytics for Leaders programme, you learn with the help of live sessions, real-world case studies, hands-on activities, byte-sized learning techniques, and peer learning discussions.
With the Business Analytics for Leaders syllabus, you will explore business analytics, descriptive analytics, unsupervised learning, predictive analytics, data visualisation, prescriptive learning, etc. Furthermore, you also work on a capstone project to use an AI-centric operating model to solve a real-world business problem.
UC Berkeley Executive Education awards you with a verified e-certificate for attending the Business Analytics for Leaders training as the course ends. The programme is well suited for mid-to-senior-level managers, business heads, senior executives, consultants, data analytics, and technology professionals.
The Highlights
- Live interactive learning
- E-certificate from UC Berkeley Executive Education
- Capstone project
- Two-month-long course
- Hands-on activities
- Real-world case studies
- Flexible payment options
- Peer learning discussions
- Notable guest speakers
- Business assignments
- Optional technical assignments
Programme Offerings
- Live interactive learning
- Capstone Project
- Hands-on Activities
- E-certificate from UC Berkeley Executive Education
- Two-month-long course
- real-world case studies
- Peer learning discussions
- Flexible Payment Options
- Business assignments.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Haas School of Business, Berkeley |
For the Business Analytics for Leaders certification fee, you can pay the entire amount upfront or opt for two-payment/three-payment schedules.
Business Analytics for Leaders - From Data to Decisions fee structure
Course Name | Fees in USD |
Business Analytics for Leaders - From Data to Decisions | $2,425 |
Eligibility Criteria
Eligibility Criteria
To participate in Business Analytics for Leaders online course, you don’t need any advanced analytics or coding experience.
Certificate Qualifying Details
To qualify for the UC Berkeley Executive Education certificate, you must finish 80% of the activities in the syllabus, including the capstone project.
What you will learn
As you finish the Business Analytics for Leaders - From Data to Decisions syllabus, you will excel in doing the following tasks:
- Score competitive advantages in the industry by leveraging data-enabled business opportunities
- Make business-related decisions by applying AI-centric operating models
- Utilise data, unsupervised and supervised learning techniques, and experimentation to drive innovation in your enterprise
- Build data-oriented decision-making models across your work functions
- Create upstanding and effective cycles based on data collection, user engagement, prediction, algorithm design, and optimisation
- Evaluate several business analytics strategies and approaches
Who it is for
The Business Analytics for Leaders certification course is well suited for the following:
- Information and Data Systems Manager
- Data Analytics Manager
- Analytics Project Lead
- Technology Innovation Designer
- Business Intelligence Manager
- Data Strategist
- Technology Lead
- Chief Executive Officer
- Chief Strategy Officer
- Chief Operating Officer
- Chief Technology Office
- Managing Director
- Chief Information Officer
- Project Manager
- Chief Marketing Officer
- Operations Manager
- Finance Manager
- Sales Manager
- Investment Directors
- Product Manager
- Director Strategic Products and Services
- Marketing Manager
- Director of Engineering
- Director of Product Marketing
- Financial Consultant
- Digital Transformation Consultant
- Management Consultant
Admission Details
Step 1: Visit The Business Analytics for Leaders course webpage.
Step 2: Skim through the pricing options, programme syllabus, key takeaways, sample certificate, faculty, brochure, etc., and scroll down to find the ‘Apply Now’ option.
Step 3: You will land on a new page. Here, sign in with Emirates with existing credentials. Or you can create an account by providing your first & last name, email, country, and password. Tap on ‘Create Account.
Step 4: Furnish personal details in the ‘About You’ section. In the subsequent section, give your work experience information and proceed with payment to secure your seat.
Application Details
To enrol in Business Analytics for Leaders certification course, provide your salutation, name (first & last), contact info., street address, city, postal/zip code, state/province/region, country of residence, and nationality. For the work experience section, give your working years, recent compensation, company, job function, job title, and industry.
The Syllabus
- The three pillars of business analytics
- Examples of the many ways that AI is transforming how businesses operate
- The four building blocks of an AI-centric operating model
- How to avoid common traps in business decision making
- Capturing the five Vs of big data: volume, velocity, variety, veracity, and value
- Identifying opportunities and challenges using big data and analytics
- What is data and how do we structure it in ways that we can use?
- How to access and transmit data in the business world
- How do you “clean” data to make it usable?
- How do you reduce data from its abstract form to something tangible?
- A thorough explanation of predictive analytics and ML
- How to apply supervised learning techniques such as linear regression and logistic regression to business cases
- How to implement the perceptron algorithm to make business decisions
- How to design a decision tree
- “Random forests” and how they combine the simplicity of decision trees with flexibility
- How deep learning and neural networks can drive business insights
- An explanation of K-means clustering and hierarchical clustering and how they reveal previously unseen patterns
- How “dimensionality reduction” can make data more manageable and actionable
- A thorough explanation of prescriptive analytics and its business applications
- Understanding the important difference between data exploration and data exploitation
- How Q-learning finds the best actions to take to maximize total reward
- How to implement deep reinforcement learning
- How to identify decision biases
- Exploring the power of experimentation
- How to conduct an effective business experiment
- How to implement effective A/B testing
- How to conduct experimentation with AI
- How to establish a culture of experimentation
- A look at the future of AI
- The ways in which AI will change business strategy
- Exploring the limits and ethical challenges of AI
- Visualizing the future of big data
- Considering the data protection and privacy implications of big data
- Examining the ways that pioneers use big data to stay ahead of the market
Instructors
Haas School of Business, Berkeley Frequently Asked Questions (FAQ's)
There is no eligibility criterion. You don’t need to have previous advanced analytics or coding experience for enrolment.
You have to finish 80% of the curriculum’s activities, including the capstone project.
Yes. You will explore real-world case studies of LendingClub, eBay, Osaro, and Ant Group.
Tap on ‘download brochure,’ and give your first & last name, email, phone, country, and work experience. You can download the curriculum as a PDF file.