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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf Study, Virtual ClassroomVideo and Text Based

Course Overview

Today's businesses no longer view data as an add-on but rather as a vital component of their whole company strategy. Organisations acquire a competitive edge and solve both immediate and long-term business issues by properly utilising data analytics. Businesses are seeking data leaders who can transform data into actionable insights. With the support of Columbia Engineering's Executive Business Analytics Programme training in collaboration with Emeritus, students can turn data into effective resources that can be used to make business choices.

The demands of busy executives have been taken into consideration while structuring the nine to twelve-month learning path. Online classes will be used to teach students, and they will feature guest lectures from well-known business figures. The Executive Business Analytics Program's flexibility enables them to personalise their learning path for the greatest possible effect on their career and business.

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The Highlights

  • Online course
  • 9-12 months course
  • Cutting-edge curriculum
  • Live sessions

Programme Offerings

  • Certificate of completion
  • Customizable learning journey
  • Self-paced learning
  • Insights from global industry experts
  • Optional online and live online guest lectures and presentations
  • Success coach
  • Check-in sessions
  • Capstone Project

Courses and Certificate Fees

Certificate AvailabilityCertificate Providing Authority
yesColumbia Business School, New York

The Executive Business Analytics Programme certification fee is US$18,000.

Fee structure

Participants can make immediate payments or they can select the instalment option to make payment. 

Course

Amount

 Executive Business Analytics Programme

US$18,000


Eligibility Criteria

Academic Qualification

  • Fluency in written and spoken English

Work Experience

  • A minimum of 8 years of work experience is required.
  • Candidates having International exposure will be preferred.

Certification Qualifying Details

  • A digital Executive Business Analytics Programme Certification by Emeritus will be given to participants who proficiently complete the training.

What you will learn

LeadershipDecision making skillsMachine learningKnowledge of Artificial Intelligence

The curriculum is structured to incorporate a variety of learning touchpoints, including core modules, electives, and a capstone project. As you progress through the learning process, learners will:

  • Obtain practical experience using data exploration tools to extract and prepare data for application.
  • Use Python code to examine and display huge data from the real world.
  • Learn the fundamentals of artificial intelligence and machine learning to investigate how artificial neural networks resemble human brains.
  • Use optimisation methods to address common issues in the workplace.
  • Develop their communication abilities to lead data science teams more successfully.
  • Learn the steps and underlying principles of using data to aid decision-making in corporate contexts.
  • Examine consumer and economic data, and choose the best models to provide the proper business answers.

Who it is for

This programme is appropriate for CEOs and CXOs looking to create data analytics teams and functional heads or technical leads in software engineering and software product development. Business executives who want to learn how analytics might boost performance in their company they can gain from this learning opportunity.


Admission Details

Students can enrol in Executive Business Analytics Programme classes by following the steps:

Step 1: Browse the official URL: https://online-exec.cvn.columbia.edu/executive-business-analytics-program

Step 2: Click the apply now option, log in from the registered email ID and make the payment. 

Step 3: After receiving a confirmation email, the students can start taking the classes.

Application Details

Students first need to browse the official website, register for the course by logging in with their email ID and creating an account then make the payment to start with the Executive Business Analytics Programme online course.

The Syllabus

Fundamentals of Data Exploration
  • Introduction to Python for Analytics
  • Basic Data Cleaning
  • Introduction to Pandas
  • Introduction to Data Visualization and Bokeh
  • Serialization and Regex
  • Data Harvesting
  • Visualization with Geographical Data
Applied Machine Learning and Artificial Intelligence
  • Visual Introduction to Optimization
  • Delving into Optimization
  • Regression and Machine Learning: A Visualized Walk-Through
  • What Is Deep Learning?
  • Deep Learning Applications
  • Overfitting
Business Analytics and Data Science
  • Introduction to Business Analytics and Basics of Descriptive Analytics
  • Building Predictive Model
  • Cross-Validation and Time Series Data
  • Recommendation System and Experiment Design
  • Modeling Consumer Choice and Pricing
  • Modeling Consumer Retention
  • Simulation in Prescriptive Analysis
  • Optimization in Prescriptive Analysis

  • Applied Financial Analytics
  • Data Visualization
  • Healthcare Analytics
  • Leading through Analytics
  • Supply Chain Analytics

Instructors

Columbia Business School, New York Frequently Asked Questions (FAQ's)

1: What perks will students get after completion of the course?

Post completion, students will be awarded an Executive Business Analytics Programme certification along with a capstone project to solve real-world business challenges.

2: What is the duration of the Executive Business Analytics Programme online course?

The duration of the course is nine to twelve months.

3: What does the programme fee include?

Teaching fees include all academic material and access to online sessions.

4: What is the mode of this programme?

This course is delivered online through live sessions which include video lectures, discussions, webinars, and assignments.

5: Can students study according to their convenience?

Yes, this course offers students a self-paced learning system. 

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