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Belhaven

Advanced Certification Program in Business Analysis and Product Management

6,415 Ratings

Ranked among the best US regional universities for 8 consecutive years - U.S. News & World Report

This Business Analysis and Product Management online Advanced program is led by Intellipaat. The program provides extensive training on Agile, UML 2.0, Tableau, and more with a focus on real-time projects. Apart from a PLA Credits from Belhaven, you will also receive a certification from Microsoft. IIBA CBAP & CBDA certification modules are also covered in this program.

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Learning Format

Online

Duration

7 Months

Career Services

by Intellipaat

12 PLA Credits from

Belhaven University

EMI Starts

at ₹4999/month*

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About the Program

The Advanced program in Business Analysis and Product Management is created with an objective to provide high-end skills, such as Python, MongoDB(NoSQL), MEAN stack, Python Django, NodeJS, ReactJS, and other advanced competencies. The program is also a collaboration with Microsoft that involves real-time projects and exercises.

Key Highlights

400 Hrs of Applied Learning
134 Hrs Self-paced Videos
60+ Live sessions across 7 months
30+ Industry Projects & Case Studies
PLA Credits from Belhaven University
Certification from Microsoft
One-on-One with Industry Mentors
Flexible Schedule
Lifetime Free Upgrade
Mentor Support

About Belhaven University

Belhaven University is known for its nationally recognized academics, top-rated faculty, and affordability. Belhaven strives for excellence in higher education and has achieved prominence in education dating back to 1883. Every student is encouraged to develop and grow to the best of their potential.

Key achievements of Belhaven University:

  • Recognized three majors for their quality and programming –  Colleges of Distinction
  • Ranked among the best regional universities in the South for eight consecutive years – U.S. News & World Report 

Upon the completion of this program, you will:

  • Receive a PLA Credits from Belhaven University

Program in Collaboration with IIBA and Microsoft

The IIBA supports and promotes the discipline of business analysis and helps Business Analysts sharpen their skills. They offer education and content to help learners and professionals open up their career paths. Microsoft’s carefully designed module will help anyone jump up the career ladder.

Benefits for students from IIBA and Microsoft:

  • Industry-recognized certification from Microsoft
  • Real-time projects and exercises
  • Earn 35 hrs PDs / CDUs for CBAP
  • Earn 24 hrs PDs/CDUs for CBDA
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Career Transition

55% Average Salary Hike

45 LPA Highest Salary

12000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Who can apply for this Advanced Program in Business Analysis and Product Management?

  • Anyone with a bachelor’s degree and a passion for Product Management
  • Professionals looking to grow their career as a Business Analyst 
  • Professionals with a bachelor’s degree who want to enter Product Management
  • Freshers who want to pursue Business Analysis and Product Management
  • IT and Sales professionals
who can apply

What roles does a Business Analysis and Product Management professional play?

Chief Technology Officer (CTO)

They are masters of strategic thinking and capable of conducting technological analysis with strong leadership and organizational skills.

Project Manager

They possess data-driven business acumen that helps them plan, budget, and oversee an organization’s project.

Market Research Analyst

Market Research Analysts compile complex reports, surveys, spreadsheets, etc. to gather and evaluate significant market intelligence.

Product Manager

They are responsible for the strategy, roadmap, and features of a product, as well as work well with cross-functional teams.

Product Manager Director

It is a senior and executive-level leadership position that focuses on making sure the team is running effectively and improving processes.

Chief Product Officer (CPO)

This role typically oversees all product activities and defines the big-picture product strategy and setting long-term goals.

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Skills to Master

SDLC

Agile Business

UML Diagrams

Agile Scrum

Data visualization

SQL

Analytics

Entity Relationship Model

Python

NumPy

SciPy

Machine Learning

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Tools to Master

MS Visio JIRA software tableau 3 Adv Excel SQL 1 python 2 anaconda numpy 2 Scipy 2 pandas

Meet Your Mentors

Curriculum

Live Course Self Paced

MS-Excel –

1.1 Excel Fundamentals 

  • Reading the Data, Referencing in formulas , Name Range, Logical Functions, Conditional Formatting, Advanced Validation, Dynamic Tables in Excel, Sorting and Filtering
  • Working with Charts in Excel, Pivot Table, Dashboards, Data And File Security
  • VBA Macros, Ranges and Worksheet in VBA
  • IF conditions, loops, Debugging, etc.

1.2 Excel For Data Analytics 

  • Handling Text Data, Splitting, combining, data imputation on text data, Working with Dates in Excel, Data Conversion, Handling Missing Values, Data Cleaning, Working with Tables in Excel, etc.

1.3 Data Visualization with Excel

  • Charts, Pie charts, Scatter and bubble charts
  • Bar charts, Column charts, Line charts, Maps
  • Multiples: A set of charts with the same axes, Matrices, Cards, Tiles
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2.1 SQL Basics – 

  • Fundamentals of Structured Query Language
  • SQL Tables, Joins, Variables

2.2 Advanced SQL – 

  • SQL Functions, Subqueries, Rules, Views
  • Nested Queries, string functions, pattern matching
  • Mathematical functions, Date-time functions, etc.

2.3 Deep Dive into User Defined Functions

  • Types of UDFs, Inline table value, multi-statement table.
  • Stored procedures, rank function, SQL ROLLUP, etc.

2.4 SQL Optimization and Performance

  • Record grouping, searching, sorting, etc.
  • Clustered indexes, common table expressions.

Hands-on exercise: 

Writing comparison data between past year to present year with respect to top products, ignoring the redundant/junk data, identifying the meaningful data,  and identifying the demand in the future(using complex subqueries, functions, pattern matching concepts).

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Tools covered

SQL 1

3.1 Introduction to MS Excel & Data Extraction
3.2 Referencing in formulas
3.3 Name range
3.4 Logical functions
3.5 Conditional formatting
3.6 Advanced-level validation
3.7 Important formulas in Excel
3.8 Dynamic table
3.9 Data sorting, filtering
3.10 Chart creation techniques
3.11 Pivot tables in Excel
3.12 Data and file security
3.13 VBA Macros
3.14 Best practices of dashboards visualization
3.15 Creating dashboards
3.16 Creation of interactive components

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Tools covered

excel 1

4.1 Introduction to Business Analysis 

  • Business Analysis overview
  • Who is a Business Analyst?
  • Introduction to governance body (IIBA)
  • Business Analysis body of knowledge
  • Knowledge areas of BABOK
  • SDLC & requirement analysis

4.2 Business Analysis Concepts and Knowledge Areas                    

  • Business Analysis core concepts and knowledge areas
  • Planning and monitoring
  • Business Analysis approach and governance
  • Business Analysis information management
  • Elicitation and collaboration

4.3 Requirement Lifecycle Management and Strategy Analysis 

  • Trace, maintain, & prioritize requirements
  • Assess requirement changes and approval
  • Analyze current state
  • Define future state
  • Assess risks
  • Define change strategy

4.4 Requirement Analysis, Design Definition, Model Requirements, and Solution Evaluation 

  • Specify model requirements
  • Verify and validate requirements
  • Define requirement architecture and design options
  • Measure and analyze solution performance
  • Assess solution and enterprise limitations
  • Recommend actions to increase solution values
  • Data model, UI model, user stories

4.5 Agile Business Perspectives and Creating UML 

  • Introduction to business Agile perspective
  • Business Intelligence perspective
  • Information Technology perspective
  • Business architecture perspective
  • Business Process Management perspective

4.6 Understand BA Role on the Agile Team

  • Write effective user stories and acceptance criteria
  • Develop backlogs into great products
  • BA role in new age Business Analysis

4.7 Underlying Competencies of a Business Analyst & Microsoft Visio 

  • Business Analyst underlying competencies
  • BA Skills
  • Soft skills, leadership and personal development
  • UML diagrams using Microsoft Visio
  • Types of flowcharts, cross-functional flowcharts
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Tools covered

MS Visio

5.1 Introduction to Power BI
5.2 Data Extraction
5.3 Data Transformation – Shaping & Combining Data
5.4 Data Modelling & DAX
5.5 Data Visualization with analytics
5.6 Power BI Service (Cloud), Q&A, and Data Insights
5.7 Power BI Settings, Administration & Direct Connectivity
5.8 Embedded Power BI with API & Power BI
5.9 Power BI Advance & Power BI Premium

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Tools covered

Power BI 1

6.1 Data Science and Analytics Fundamentals

  • Introduction to data science and analytics
  • Use cases in data science and analytics
  • Data science life cycle
  • Data Analytics: Types
  • AI and Machine Learning: Overview

6.2 CBDA: Introduction

  • CBDA: Overview
  • What is Business Data Analytics?
  • Eligibility criteria
  • Six Business Data Analytics domains

6.3 Business Analysis and Data Analytics

  • Business analysis in data analytics projects
  • Comparison between business analysis and data analytics

6.4 Business Data Analytics Domains: Introduction

Domain 1: Identifying the Research Questions

  • Defining business problems or opportunities
  • Identifying and understanding stakeholders
  • Current state assessment
  • Defining the future state
  • Formulation of research questions
  • Planning the Business Data Analytics approach
  • Selection of techniques for the identification of research questions

Domain 2: Source Data

  • Data collection planning
  • Determination of datasets
  • Data collection
  • Data validation

Domain 3: Data Analysis

  • Developing a Data Analysis plan
  • Data preparation
  • Data exploration
  • Performing data analysis
  • Assessment of the analytics and system approach

Domain 4: Interpreting and Reporting Results

  • Validating the understanding of stakeholders
  • Planning for stakeholder communication
  • Determining the communication requirements of the stakeholders
  • Deriving insights from data
  • Documentation and communication of findings from the completed analysis
  • Selection of techniques for interpreting and reporting results

Domain 5: Using Results to Influence Business Decision-making

  • Action recommendation
  • Implementation plan development
  • Change management
  • Guiding the organizational-level strategy for Business Data Analytics
  • Organizational strategy
  • Talent strategy
  • Data strategy

6.5 Techniques

  • Business simulation
  • Business visualization
  • Concept modeling
  • Data dictionary, flow diagrams, mapping, and storytelling
  • Decision modeling and analysis
  • Descriptive and inferential statistics
  • Extract, Transform, and Load (ETL)
  • Exploratory data analysis
  • Hypothesis formulation and testing
  • Interface analysis
  • Optimization
  • Problem shaping and reframing
  • Stakeholder list, map, and personas
  • Survey and questionnaire
  • Technical visualizations
  • The big idea
  • 3-minute story
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7.1 Introduction to Agile Scrum 

  • Agile Scrum overview
  • Agile project principles
  • Sprint and Increment in Agile Scrum
  • Scrum theory
  • Other Agile Frameworks

7.2 Scrum Team and Artifacts and Events

  • Scrum team and Scrum Master
  • Scrum roles
  • Scrum flow
  • Scrum artifacts: product backlog 
  • Artifacts transparency
  • Scrum events: sprint planning and retrospective
  • Agile estimating, planning, monitoring, and control

7.3 Project Management Using Jira 

  • Introduction to Project Management in Jira
  • Jira issue types
  • Scrum & Kanban boards
  • Customizing board settings
  • Release and backlog management
  • Jira reports
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Tools covered

JIRA software

8.1 Class diagram
8.2 Component diagram
8.3 Composite structure diagram
8.4 Deployment diagram
8.5 Object diagram
8.6 Package diagram
8.7 Profile diagram
8.8 Activity diagram
8.9 State machine diagram
8.10 Use case diagram
8.11 Communication diagram
8.12 Interaction overview diagram
8.13 Sequence diagram
8.14 Timing diagram

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9.1 Communication skills
9.2 Leadership skills
9.3 Problem-solving skills
9.4 Business knowledge
9.5 IT knowledge

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You will be working on multiple projects on different domains like retail, finance, banking and learn how Machine Learning is used to solve todays world problems.

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11.1 Python Environment Setup and Essentials

  • Introduction to Python 
  • Features
  • Python installation – Windows, Mac & Linux distribution for Anaconda Python
  • Deploying Python IDE
  • Basic Python commands, data types, variables, keywords, etc.

Hands-on Exercise

Installing Python Anaconda for Windows, Linux, and Mac

11.2 Python language Basic Constructs

  • Built-in data types in Python
  • Learn classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug
  • Basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise
  • Loop and control statements 

Hands-on Exercise

Write your first Python program, Write a Python function (with and without parameters), use Lambda expression, write a class, create a member function and a variable, create an object, write a for loop

11.3 OOP concepts in Python

  • Write OOP concepts program in Python
  • Connecting to a database
  • Classes and objects in Python
  • OOPs paradigm
  • Python functions, return types, and parameters
  • Lambda expressions

Hands-on Exercise

Creating an application that helps to check balance, deposit money and withdraw the money using the concepts of OOPS.

11.4 Database Connection

  • Database and need of database
  • Installing MySQL on Windows
  • Database connection using Python

Hands-on Exercise

Demo on Database Connection using python and pulling the data.

11.5 NumPy for Mathematical Computing

  • Arrays and matrices
  • Broadcasting of array math
  • Indexing of the array
  • Standard deviation, conditional probability, correlation, and covariance

Hands-on Exercise

How to import the NumPy module, creating an array using an ND-array, calculating standard deviation on an array of numbers, calculating correlation between two variables.

11.6 SciPy for Scientific Computing

  • Introduction to SciPy
  • Functions building on top of NumPy, cluster, linalg, signal, optimize, integrate, subpackages, 
  • SciPy with Bayes Theorem

Hands-on Exercise

Importing of SciPy, applying the Bayes theorem on the given dataset

11.7 Matplotlib for Data Visualization

  • How to plot graph and chart with Python
  • Various aspects of line, scatter, bar, histogram, 3D, the API of Matplotlib, subplots

Hands-on Exercise

Deploying MatPlotLib for creating Pie, Scatter, Line, Histogram

11.8 Pandas for Data Analysis and Machine Learning

  • Introduction to Python data frames
  • Importing data from JSON, CSV, Excel, SQL database, NumPy array to data frame
  • Various data operations 

Hands-on Exercise 

Working on importing data from JSON files, selecting record by a group, applying filter on top, viewing records

Capstone Project

Substantiate your learning experience and Business Analysis skills via this practical, industry-based capstone project based on our course and showcase your skills in the field of Product Management and Business Analysis.

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Tools covered

python 2 anaconda Scipy matplotlib pandas

Substantiate your learning experience and Business Analysis skills via this practical, industry-based capstone project based on our course and showcase your skills in the field of Product Management and Business Analysis.

Download Brochure
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Disclaimer
Intellipaat reserves the right to modify, amend or change the structure of module & the curriculum, after due consensus with the university/certification partner.

Program Highlights

7 months Advanced program
400 Hrs of Live Learning
30+ Guided projects
24*7 Online Learning Support

Project Work

The projects that you will get to work on during this Advanced program will give you the practical experience and hands-on training that is required in the domain.

Career Services By Intellipaat

Career Services
guaranteed
Placement Assistance
job portal
Exclusive access to Intellipaat Job portal
Mock Interview Preparation
1 on 1 Career Mentoring Sessions
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Career Oriented Sessions
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Resume & LinkedIn Profile Building
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Our Alumni Works At

Hiring Partners

Admission Details

The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.

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Submit Application

Tell us a bit about yourself and why you want to join this program

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Application Review

An admission panel will shortlist candidates based on their application

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Admission

Selected candidates will be notified within 1–2 weeks

Program Fee

Total Admission Fee

₹ 89,034 (Inclusive of All)

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EMI Starts at

₹ 4,999

We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs

Financing Partners

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The credit facility is provided by a third-party credit facility provider and any arrangement with such third party is outside Intellipaat’s purview.

Program Cohorts

Next Cohorts

Date Time Batch Type
Regular Classes 14th Dec 2024 08:00 PM IST Weekend (Sat - Sun)
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Advanced Program in Business Analysis and Product Management FAQ

Why should I sign up for this online Business Analysis and Product Management Advanced program?

This online Advanced program will help you become a successful and certified professional with expertise in business analysis and product management. The courses in this program are designed to meet the industry standards and requirements. By the end of this postgraduate program, you will have a strong background in various skillsets and tools that are crucial in the corporate world. After completing the program, you will receive a PLA Credits from Belhaven University as well as a certification from Microsoft.

The projects and assignments in this program are industry-based and highly relevant in real-world scenarios. By the end of the program, you will be qualified for some of the top-paying jobs around the world.

You can start by enrolling in the online Advanced program in Business Analysis and Product Management. After successfully completing the program, along with the projects and assignments, you will receive your PLA Credits from Belhaven University.

You will experience customized and quality learning on our Learning Management System (LMS). We offer both live sessions as well as self-paced videos. If you miss any live training session for any reason, you can always watch the recorded version of the session at your convenience.

You can get in touch with our course advisors for more information on this Business Analysis and Product Management online Advanced program. They will provide you with all the assistance you need.

Belhaven University PLA Credits Assessed for this course is 12.

*Note, there is a maximum number of PLA credits that may be applied toward a degree program. Refer to the Belhaven University website for the latest on PLA policies.

Please note that the course fees is non-refundable and we will be at every step with you for your upskilling and professional growth needs.

Due to any reason you want to defer the batch or restart the classes in a new batch then you need to send the batch defer request on [email protected] and only 1 time batch defer request is allowed without any additional cost.

Learner can request for batch deferral to any of the cohorts starting in the next 3-6 months from the start date of the initial batch in which the student was originally enrolled for. Batch deferral requests are accepted only once but you should not have completed more than 20% of the program. If you want to defer the batch 2nd time then you need to pay batch defer fees which is equal to 10% of the total course fees paid for the program + Taxes.

Yes, Intellipaat certification is highly recognized in the industry. Our alumni work in more than 10,000 corporations and startups, which is a testament that our programs are industry-aligned and well-recognized. Additionally, the Intellipaat program is in partnership with the National Skill Development Corporation (NSDC), which further validates its credibility. Learners will get an NSDC certificate along with Intellipaat certificate for the programs they enroll in.

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What is included in this course?

  • Non-biased career guidance
  • Counselling based on your skills and preference
  • No repetitive calls, only as per convenience
  • Rigorous curriculum designed by industry experts
  • Complete this program while you work