Course description
Business Analyst Certification Master's Program
Business Analyst tools and techniques are amongst the most sought-after and highly compensated digital economy skills. Accelerate your career with our acclaimed Business Analyst Master’s Program, featuring the perfect mix of practical skills, with real-world case studies, extensive hands-on practicum, and masterclasses by IBM industry experts.
This Master’s Program blends self-paced online videos and lives virtual classes. Mentorship sessions provide a high-engagement learning experience and real-world applications, helping you master essential Business analysis skills. You will have in-depth exposure to concepts including data analysis, statistics, Agile Scrum methodologies, MS Excel, Tableau, R, Python, and SQL databases, preparing you for an exciting career in Business Analysis.
Key Features
- Online Classroom bootcamp and eLearning (self-paced)
- Course and material are in english
- 6 months estimation to complete (5 to 10 hours a week)
- 11 Months eLearning platform access
- Industry-recognized certifications from IBM
- Masterclasses from IBM experts
- Earn 35 PDs/CDUs and 25 PMI PDUs post completion of the CBAP® module
- Earn 22 PMI PDUs post completion of the CCBA® module
- CBAP and CCBA courses aligned with the standards of IIBA® BABOK V3
- Harvard Business Publishing case studies of Pearson and EvCard
- Capstone from 3 domains and 14+ projects
Business Analyst Master’s Program Outcomes
- Grasp the fundamentals of Excel analytics functions and conditional formatting
- Apply statistical tools and concepts like moving average, hypothesis testing, ANOVA, and regression to data sets using Excel
- Understand the tools and techniques used in business analytics planning and monitoring
- Master the concepts of requirements life cycle management
- Gain fundamental knowledge of the agile perspective
- Learn to analyze data using Tableau and become proficient in building interactive dashboards. Master the Agile Scrum project management approach.
- Gain expertise in Agile Scrum methodologies and applications, daily scrum synchronization, sprint planning, and review.
- Understand business analysis fundamental concepts and business analysis core concept model (BACCM).
- Acquire advanced knowledge of identifying, defining, assessing, and completing various elements of business analysis tasks
- Master SQL concepts such as Universal Query Tool (UQT) and SQL command
- Plan, execute, monitor, and track Scrum projects
- Absorb agile philosophy and gain deep knowledge of scrum
- Effectively apply Scrum in your organizations
Program Eligibility Criteria and Application Process
A Bachelor’s degree in any discipline with a basic understanding of mathematics and statistics
Who Should Enroll in this Program?
This program caters to working professionals from various industries and backgrounds; the diversity of our students adds richness to class discussions and interactions. Aspiring professionals of any educational experience with an analytical frame of mind are most suited to pursue the Business Analyst Master’s Program, including.
The following are the few professional profiles that are ideal students for this course:
- Aspiring Business Analysts - including recent college graduates and those looking to make a career change.
- Other business analysis positions include administrators, managers, and project leads.
- IT professionals
- Beginners in the data analytics domain
- Project managers
- Banking and finance professionals
- Marketing managers
- Supply chain network managers
Learning Path- Business Analyst
1. Certified Business Analysis Professional (CBAP®)
This CBAP certification training enables you to master the highest business analysis skills, including advanced documentation, effective planning, and business solutions design. Covering the core concept model of business analysis and the six knowledge areas of the BABOK® Guide Version 3, this course prepares you to ace the IIBA-CBAP exam.
Key Learning Objectives
- Business analysis planning and monitoring
- Elicitation and collaboration
- Requirements life cycle management
- Strategy analysis
- Requirements analysis and design definition
- Business intelligence perspective
- Business architecture perspective
- Business process management perspective
Course Curriculum
- Lesson 01 - Introduction to CBAP certification
- Lesson 02 - Introduction to BABOK V3
- Lesson 03 - Business Analysis Planning and Monitoring
- Lesson 04 - Elicitation and Collaboration
- Lesson 05 - Requirements Life Cycle Management
- Lesson 06 - Strategy Analysis
- Lesson 07 - Requirements Analysis and Design Definition
- Lesson 08 - Solution Evaluation
- Lesson 09 - Agile Perspective
- Lesson 10 - Business Intelligence Perspective
- Lesson 11 - Information Technology Perspective
- Lesson 12 - Business Architecture Perspective
- Lesson 13 - Business Process Management Perspective
2. Tableau Training
This Tableau course helps you understand how to build visualizations, organize data, and design charts and dashboards to empower more meaningful business decisions. You’ll be exposed to the concepts of Data Visualization, different combo charts and stories, working with filters, parameters, and sets, and building interactive dashboards.
Key Learning Objectives
After completing this phase, you will be able to:
- Become an expert on visualization techniques such as heat maps, treemaps, waterfalls, Pareto
- Understand metadata and its usage
- Work with Filters, Parameters, and Sets
- Master particular field types and Tableau-generated fields and the process of creating and using parameters
- Learn how to build charts, interactive dashboards, and story interfaces and how to share your work
- Master the concepts of data blending, creating data extracts, and organizing and formatting data
- Master arithmetic, logical, table, and LOD calculations
Course Curriculum
- Lesson 1 - Getting Started with Tableau
- Lesson 2 - Core Tableau in Topics
- Lesson 3 - Creating Charts in Tableau
- Lesson 4 -Working with Metadata
- Lesson 5 - Filters in Tableau
- Lesson 6 - Applying Analytics to the Worksheet
- Lesson 7 - Dashboard in Tableau
- Lesson 8 -Modifications to Data Connections
- Lesson 9 - Introduction to Level of Details in Tableau (LODS)
3. Data Analysis and Visualization with Python
Grow beyond spreadsheet software for data analytics. Perform statistical analyses and create meaningful data visualizations using Python. This course will take you from the basics of Python to exploring many different data types. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, and predict future trends from data.
Key Learning Objectives
- Learn data analysis with Python
- Learn how to import data sets, clean and prepare data for analysis
- Summarize data and build machine learning models using sci-kit-learn
- Build data pipelines
- Learn data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium
Course Curriculum
- Lesson 01 - Data Analysis with Python
- Lesson 02 - Data Visualization with Python
4. Mathematical Optimization for Business Problems
Construct optimization models to solve business problems in this course. Learn different aspects of mathematical programming to construct optimization models using IBM Decision Optimization technology in this course.
Key Learning Objectives
- Learn how to model and solve the optimization model
- Learn the basics of optimization models like data, decision variables, objective functions, and constraints
- Understand the different types of solutions possible and mathematical programming techniques used for optimization
Course Curriculum
- Lesson 01 - The Big Picture
- Lesson 02 - Linear Programming
- Lesson 03 - Network Models
- Lesson 04 - Beyond simple LP
- Lesson 05 - Modelling Practice
5. Business Analyst Capstone
Enhance your Business Analysis skills with a hands-on, industry-relevant capstone project, combining every course into one portfolio-worthy capstone. This provides high-touch mentoring sessions with expert industry trainers for 8 hours over four weeks. This will enhance your Business Analysis skills with hands-on and industry-relevant projects while combining every course into one portfolio. The learner will get the option to choose from the following three industries to work on in their Capstone project:
Online Pantry
The world’s leading online e-commerce company wants to create a Pantry feature to sell daily essential products. This would be an additional enhancement to the current website or app. This would be the company’s foray into everyday actual products, which are regular consumption products and would lead to repeat sales every month.
E-Fixed Deposits
The world’s leading bank currently has a manual option to create bank fixed deposits. The bank users visit the Citibank branch and make a fixed deposit. Citibank has a future vision of being a 100% online bank and wants to do away with all its manual banking processes. They have identified the need to create e-fixed deposits.
Restaurant Management System
A US celebrity chef has a chain of restaurants across different cities in the USA. He wanted to put in a new Restaurant Management System to track the day-to-day management of his restaurant.
Harvard Business Publishing CaseStudies for Business Analysis
Learn Business Analysis concepts with the help of real-world case studies authored by HBS professors and other top business school educators. These case studies will help you analyze business situations and different aspects of managerial decision-making to help you solve business problems.
Elective Courses:
Business Analyst Industry Master Class - IBM
Attend online interactive masterclasses from IBM and get insights about advancements in technology/ techniques in Business Analysis.
CCBA®
This Certification of Capability in Business Analysis (CCBA) training course covers the essential skillsets required of business analyst professionals based on the industry standards and benchmarks of the International Institute of Business Analysis (IIBA®) and others. You’ll become proficient in recognizing the needs of a business so that the most applicable solutions can be identified and implemented and produce reliable quality results with increased efficiency and consistency.
Agile Scrum Master
This Agile Scrum Master online training introduces you to Agile's best practices and the Scrum methodology's nuances. Master the Agile Scrum project management approach and enhance your ability to develop and deliver quality products to customers. Use this popular methodology to maximize business value while mitigating potential risks.
Essentials of Generative AI, Prompt Engineering & ChatGPT
Delve into AI basics and generative AI principles. Grasp the importance of explainable AI. Employ prompt engineering to enhance generative AI performance. Understand ChatGPT's mechanisms, features, and constraints. Explore varied ChatGPT applications. Gain foresight into generative AI's future and challenges. Learn to leverage Generative AI tools like ChatGPT, Gemini, Midjourney and Dall-E 2
SQL
This course gives you all the information you need to start working with SQL databases and use the database in your applications. Learn to structure your database correctly, author efficient SQL statements and clauses, and manage your SQL database for scalable growth.
Data Science with R
This course lets you take your data science skills into various companies, helping them analyze data and make more informed business decisions. The course covers data exploration, visualization, predictive analytics, and descriptive analytics techniques with the R language. Learn about R packages, how to import and export data in R, data structures in R, various statistical concepts, cluster analysis, and forecasting.
Business Analytics with Excel
Boost your analytics career with powerful new Microsoft Excel skills. This business analytics training will equip you with all the concepts and hard skills required for a robust analytics career. You’ll learn the fundamental data analysis and statistics concepts, helping promote data-driven decision-making.
Statistics Essential for Data Science
Make effective decisions using data with the help of statistics. This course will cover basic concepts of statistics like descriptive statistics, hypothesis testing, and regression.
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