Data Science for Business Decision Making

BY
Boston Institute of Analytics

Unlock data driven insights to steer business growth, learn python, machine learning, BI and generative AI skills in one focused program.

Mode

Part time, Online

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom +1 more
Mode of Delivery Video and Text Based

Course overview

The Data Science for Business Decision Making course is being offered by the Boston Institute of Analytics. This Data Science for Business Decision Making course is structured as a 40+ hours of blended learning certification training, integrating live instructor-led sessions with asynchronous modules, assignments and hands-on exercises. The curriculum also includes real world case studies, capstone projects and exposure to generative AI and business intelligence tools, designed to equip participants with employability data skills.

The highlights

  • 40+ hours of structured training
  • 5+ case studies & assignments
  • 15+ programming tools & technologies
  • Immersive hands-on & blended delivery
  • Dual, globally recognized certification
  • Modules integrated with Generative AI
  • Real-world projects and case studies
  • Practical capstone experience
  • Instruction by industry experts

Program offerings

  • Real-world projects
  • Expert instructors
  • Peer & alumni community access
  • Doubt clearing sessions
  • Case studies
  • No cost emi options available

Course and certificate fees

certificate availability

Yes

certificate providing authority

Boston Institute of Analytics

Who it is for

The target audience for the Data Science for Business Decision Making course includes:

What you will learn

Knowledge of python Machine learning Knowledge of artificial intelligence Knowledge of data visualization

In this Data Science for Business Decision Making course, the participants will begin by mastering the fundamentals of python programming, including syntax, data structures, functions. OOP, file handling and exception handling. The participants will venture into machine learning, covering supervised and unsupervised methods, algorithm selection, model evaluation, and applying scikit-learn to business datasets.

The syllabus

Data Science for Business Decision Making: Orientation

Course Expectations and Structure
  • Overview of the Course Modules 
  • Brief on Assignments and Assessments

Fundamentals of Python Programming

Introduction to Python Programming
  • Overview of Python: History, features, and advantages.
  • Setting up Python environment: Installing Python and an Integrated Development Environment (IDE).
  • Basic syntax and data types: Variables, data types (integers, floats, strings), and basic operations.
  • Control structures: Conditional statements (if-else), loops (for, while).
  • Functions: Defining and calling functions, parameters, return values.
  • Hands-on exercises: Writing and executing Python scripts to perform basic operations, solve simple problems.
Advanced Python Programming
  • Data structures: Lists, tuples, dictionaries, sets – creation, manipulation, and operations.
  • File handling: Reading from and writing to files.
  • Exception handling: Handling errors and exceptions gracefully.
  • Object-oriented programming (OOP) concepts: Classes, objects, inheritance, polymorphism.
  • Hands-on exercises: Implementing OOP concepts, working with data structures, and file handling.

Introduction to Machine Learning

Overview of Machine Learning
  • Definition of Machine Learning
  • Types of Machine Learning: supervised, unsupervised, reinforcement learning
  • Applications of Machine Learning in business
Introduction to scikit-learn
  • Installing scikit-learn library
  • Overview of scikit-learn’s capabilities and modules
Supervised learning
  • Regression algorithms: linear regression, polynomial regression
  • Classification algorithms: logistic regression, decision trees, k-nearest neighbors
  • Model evaluation metrics: mean squared error, accuracy, confusion matrix
  • Hands-on exercises: Implementing regression and classification algorithms using scikit-learn, evaluating model performance.

Generative AI and Prompt Engineering

Introduction to Generative AI
  • Understanding generative models: GANs, VAEs, autoregressive models
  • Applications of Generative AI in text and image generation
Introduction to Prompt Engineering
  • Understanding prompts and completions
  • Fine-tuning language models: GPT-3, BERT
  • Business applications of Prompt Engineering: generating marketing copy, product descriptions
  • Hands-on exercises: Using pre-trained language models (e.g., GPT-3), generating text-based outputs for business scenarios.

Business Intelligence Tools

Overview of Power BI and Tableau
  • Features and capabilities of Power BI
  • Features and capabilities of Tableau
Data preparation
  • Importing data into Power BI/Tableau
  • Data cleaning and transformation
Creating visualizations
  • Building charts: bar charts, line charts, pie charts
  • Designing interactive dashboards
  • Adding filters and parameters to visualizations
  • Hands-on exercises: Building interactive visualizations and dashboards using Power BI and Tableau, analyzing business data, and deriving insights.

Capstone Project

Capstone Project Allocation, Mentorship and Presentation
  • Project and Dataset Assignment by Capstone Mentor
  • Orientation Session by Capstone Mentor – Project Expectations
  • Mentorship Session by Capstone Mentor – Doubt Resolutions
  • Project Presentation

Admission details

Follow the steps below to join the Data Science for Business Decision Making course.

Step 1 - Click on the link below: https://bostoninstituteofanalytics.org/data-science-for-business-decision-making/

Step 2 - Click on “Enquire Now”. Submit the form and your contact details and a representative will contact you.

Step 3 - Once the fees are paid, you are enrolled in the Data Science for Business Decision Making course.

How it helps

Earning this Data Science for Business Decision Making course certificate validates participants ability to derive insights from data, make strategic business recommendations and implement AI-powered solutions. This certificate enhances professional credibility, improves job prospects, and opens pathways for leadership in data-focused teams. Moreover, organizations often recognize certified professionals as agents of digital transformation, giving you influence in decision-making settings.

FAQs

Will I receive a certificate after completion?

Yes, The participants will receive a certificate upon successful completion of this course.

Can I take this certification course remotely?

Yes, the participants can join this Data Science for Business Decision Making course remotely.

Are there any prerequisites or coding experience required?

No, there is no prior experience required.

Do I get placement support after this Data Science for Business Decision Making course?

 Yes, BIA will provide placement assistance to its participants.

Is there an exam for certification?

No, there is no separate eczema for this certificate.

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