SimpliLearn – Best Business Analyst Certification Training Course Online

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SimpliLearn – Best Business Analyst Certification Training Course Online

Business Analyst

Boost Your Career with a Top Business Analyst Certification

Become job-ready with a globally recognized Business Analyst Certification Course is designed to train you on all three aspects of Business Analysis – Planning and monitoring, Requirements elicitation, and Requirements management & communication. Learn the latest tools, work on real-world projects, and attend Masterclasses from IBM and EY experts.

In collaboration with IBM and EY
Content and certificate by IBM; Live interaction with IBM leadership; Masterclasses by EY experts
IIBA Endorsed Education Provider
Earn 35 PDs/CDUs and 25 PMI PDUs with CBAP; 22 PMI PDUs with CCBA
Capstone from 3 domains and 14+ projects
Get industry exposure with Harvard Business Case studies of Pearson and EVCard
Level Up Sessions
Attend sessions by the world’s leading experts like Susan David

About Business Analyst Course

Why become a Business Analyst?

The employment of management analysts, including business analysts, is expected to grow 14 percent between 2018 and 2028, according to the U.S. Bureau of Labor Statistics (BLS). This is a higher growth rate than other professions.

Business Analysts use data to outline problems, opportunities, and solutions for businesses and report them back to the stakeholders in the organization. They also play a crucial role in fixing outdated processes, driving new technology adoption, and innovation, making this an in-demand role in every area of business, from consulting to product management. A Business Analyst’s career path can take them in multiple directions, depending on their experience and future career goals. Simplilearn provides one of the best Business Analyst Certification program that is perfect to kick start your career, and have endless growth opportunities.

What are the objectives of the Business Analyst Course?

Business analysts are in-demand across a wide range of industries. Business analysis can be an exciting and rewarding career for people who possess the requisite skills—helping struggling companies thrive and make good companies great.

Simplilearn’s Business Analyst Training Program will provide you with extensive expertise in business analysis. You will master the concepts and skills required for an active business analyst career and become an expert in Excel, CBAP, Tableau, Agile ScrumMaster, SQL, CCBA, and Agile Scrum Foundation with this business analyst course.

You will also gain the skills necessary to build interactive dashboards; gain insight into business analysis planning and monitoring, understand the competencies of a business analyst, master Agile Scrum methodologies, and learn how to work with SQL databases. The entire online Business Analyst Certification learning experience is tied together with real-world projects and virtual simulations to help you obtain domain experience.

After completing all aspects of the training, you will be prepared for the role of a business analyst.

What important skills will you learn from this Business Analyst Certification Training?

With this Business Analyst Training you can:

• 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 key 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
• 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

What are the benefits of a business analyst course endorsed by IIBA?

IIBA is the world’s leading professional association that develops and maintains standards for the practice of Business Analysis. The program learning is aligned with the standards of IIBA® BABOK V3, which will prepare to ace the ECBA, CCBA, and CBAP exams. You will obtain 25 IIBA CDUs after completion of this business analysis course.

What all is covered as part of the Capstone project in this Business Analyst Course?

The Business Analyst Capstone project provides high-touch mentoring sessions with expert industry trainers for 8 hours over a span of 4 weeks. This will enhance your Business Analysis skills with hands-on and industry-relevant projects while bringing together 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:

• Hospitality: Learners will create a restaurant management system for a globally well-known Michelin-star restaurant chain
• Retail: Learners will create a plan to launch an “online pantry” (similar to Amazon Pantry) that delivers essential products on a daily basis
• Banking: Learners will create a plan and capture the requirements to create a feature with which a global bank can introduce e-Fixed deposits for all the users

What is BABOK®? And what does it cover?

BABOK is a Guide to the Business Analysis Body of Knowledge® (BABOK® Guide) which helps business analysts achieve better business outcomes at the strategic, tactical and operational level. BABOK covers knowledge areas, techniques and perspectives which represent the majority of tasks business analysts do and provides focus to tasks and techniques specific to the context of the initiative.

What Business Analysis areas are covered in the BABOK Guide?

The BABOK guide describes below 6 knowledge areas that represent the daily tasks performed by a business analyst:

• Business Analysis Planning and Monitoring
• Elicitation and Collaboration
• Requirements Life Cycle Management
• Strategy Analysis
• Requirements Analysis and Design Definition
• Solution Evaluation

What projects are included in this Business Analyst course?

Following are the projects included as part of this Business Analyst Certificate Program:

Project 1: Sales Performance Analysis

Description: Build a dashboard to present monthly sales performance by product segment and product category to identify the areas that have met or exceeded their sales targets.

Project 2: Customer Analysis

Description: Build a dashboard that presents statistics about the customers, ranking of them by profit ratio and sales plus the profit performance by region.

Project 3: Product Analysis

Description: Build a dashboard that presents sales by product category over time, with the ability to drill down to the product and regional level to check if the products are correctly priced.

Project 4: Sales Dashboard

Description: Build a dashboard that presents metrics about products (like sales, profits, profit ratio) and the trends of statistics over time, filtering down to one or more geographic regions.

Who should take this online Business Analyst Certification Course?

Business Analyst is a solid career choice for both new and experienced professionals. Aspiring professionals of any educational background with an analytical frame of mind are best suited to pursue the Business Analyst Training, including:

• Aspiring business analysts, including recent college graduates and those looking to make a career change
• New business analysts wanting to improve their craft
• Other positions that are performing business analysis duties such as administrators, managers, and project leads
• IT professionals
• Project managers
• Banking and finance professionals
• Marketing managers
• Sales professionals
• Supply chain network managers
• Beginners in the data analytics domain

What are the prerequisites for this online Business Analyst Certification Course?

Learners need to possess an undergraduate degree or a high school diploma. This Business Analyst Training course syllabus covers all of the fundamentals, but some experience in business analysis is recommended.

Tools Covered

Business Analyst Course Advisor

Tim Jerome

Project Management Expert and Evangelist

Tim Jerome is an international project management expert with over 15 years of experience at companies like Intel and Digital Network Services. A former president of the PMI Rio Grande Chapter, Tim is also a PMP instructor with over 10 years of experience in addition to his extensive project management consulting experience.

Bryan Campbell

President at 7 C’s Consulting and Agile Project and Program Manager

Bryan Campbell is a highly respected Agile Coach and Project Manager with more than 25 years of experience managing projects, programs and PMOs around the world. He specializes in agile transformation for enterprise, scale PMOs.

Jeff Allen

Project Management and Agile Expert, Consultant, Author

Jeff Allen is a highly regarded project management and Agile expert with more than 15 years of experience at large companies like Compaq and HP. As an Agile Coach, he has mentored over 5000 professionals globally.

Susan David

Co-founder of Institute of Coaching :LevelUp Session Expert

Susan David is one of the world’s leading management thinkers and an award-winning Harvard Medical School psychologist. Her #1 Wall Street Journal bestselling book, Emotional Agility, describes the psychological skills critical to thrive in times of complexity and change.

Business Analyst Certification Learning Path

Course 1 Online Classroom Flexi Pass
Certified Business Analysis Professional (CBAP®)
This CBAP training is designed to help professionals gain new skills and expertise in advanced documentation, effective planning, and the creation of business solutions. This CBAP exam preparation course aligns with the high standards set by IIBA® and will ensure continued success in the field of business analysis. Professionals with CBAP certification will be able to stay relevant to rapid changes in the IT industry and competencies in all aspects of business analysis.

Course Content
Certified Business Analysis Professional (CBAP®) Certification

Lesson 01 – Introduction to CBAP® Certification

• 1.1 Introduction to CBAP® Certification

Lesson 02 – Introduction to BABOK® V3

• 2.1 Introduction to BABOK® V3
• 2.2 Business Analysis10:16
• 2.3 Competencies of a Business Analyst1
• 2.4 Techniques referred to by BABOK® V3
• 2.5 Quiz
• 2.6 Key Takeaways00:50

Lesson 03 – Business Analysis Planning and Monitoring

• 3.1 Introduction to Business Analysis Planning and Monitoring
• 3.2 Plan Stakeholder Engagement
• 3.3 Plan Business Analysis Governance
• 3.4 Plan Business Analysis Information Management
• 3.5 Identify Business Analysis0
• 3.6 Quiz
• 3.7 Key Takeaways
• Case Study
• Case Study Exercise

Lesson 04 – Elicitation and Collaboration

• 4.1 Introduction to Elicitation and Collaboration
• 4.2 Prepare For Elicitation
• 4.3 Conduct Elicitation
• 4.4 Confirm Elicitation Results
• 4.5 Communicate Business Analysis Information
• 4.6 Manage stakeholder collaboration
• 4.7 Quiz
• 4.8 Key Takeaways
• Case Study
• Case Study Exercise

Lesson 05 – Requirements Life Cycle Management

• 5.1 Introduction to Requirements Life Cycle Management
• 5.2 Trace Requirements
• 5.3 Maintain Requirements
• 5.4 Prioritize Requirements
• 5.5 Assess Requirements Changes
• 5.6 Approve Requirements
• 5.7 Quiz
• 5.8 Key Takeaways
• Case Study
• Case Study Exercise

Lesson 06 – Strategy Analysis

• 6.1 Introduction to Strategy Analysis
• 6.2 Analyze Current State
• 6.3 Define Future State
• 6.4 Assess Risks
• 6.5 Define Change Strategy
• 6.6 Quiz
• 6.7 Key Takeaways
• Case Study
• Case Study Exercise

Lesson 07 – Requirements Analysis and Design Definition

• 7.1 Introduction to Requirements Analysis and Design Definition
• 7.2 Specify and Model Requirements
• 7.3 Verify Requirements
• 7.4 Validate Requirements
• 7.5 Define Requirements Architecture
• 7.6 Define Design Options
• 7.7 Analyze Potential Value and Recommend Solution
• 7.8 Quiz
• 7.9 Key Takeaways
• Case Study
• Case Study Exercise

Lesson 08 – Solution Evaluation

• 8.1 Introduction to Solution Evaluation
• 8.2 Measure Solution Performance
• 8.3 Analyze Performance Measures
• 8.4 Assess Solution Limitations
• 8.5 Assess Enterprise Limitations
• 8.6 Recommend Actions to Increase Solution Value
• 8.7 Quiz
• 8.8 Key Takeaways
• Case Study
• Case Study Exercise

Lesson 09 – Agile Perspective

• 9.1 Introduction to Agile Perspective
• 9.2 Change Scope
• 9.3 Business Analysis Scope
• 9.4 Approaches and techniques
• 9.5 Business Analysis Planning and Monitoring
• 9.6 Elicitation and Collaboration
• 9.7 Requirements life cycle management
• 9.8 Strategy Analysis
• 9.9 Requirement analysis and design definition
• 9.10 Solution evaluation
• 9.11 Quiz
• 9.12 Key Takeaways
• Case Study
• Case Study Exercise

Lesson 10 – Business Intelligence Perspective

• 10.1 Introduction to Business Intelligence Perspective
• 10.2 Change Scope
• 10.3 Business Analysis Scope
• 10.4 Methodologies And Approaches
• 10.5 Underlying Competencies
• 10.6 Impact On Knowledge Areas
• 10.7 Quiz
• 10.8 Key Takeaways
• Case Study
• Case Study Exercise

Lesson 11 – Information Technology Perspective

• 11.1 Introduction to Information Technology Perspective
• 11.2 Change Scope
• 11.3 Business Analysis Scope
• 11.4 Methodologies
• 11.5 Underlying Competencies
• 11.6 Impact on Knowledge Areas
• 11.7 Quiz
• 11.8 Key Takeaways
• Case Study
• Case Study Exercise

Lesson 12 – Business Architecture Perspective

• 12.1 Introduction to Business Architecture Perspective
• 12.2 Change Scope
• 12.3 Business Analysis Scope
• 12.4 Business Architecture Reference Models
• 12.5 Underlying Competencies
• 12.6 Impact On Knowledge Areas
• 12.7 Quiz
• 12.8 key Takeaways
• Case Study
• Case Study Exercise

Lesson 13 – Business Process Management Perspective

• 13.1 Introduction to Business Process Management Perspective
• 13.2 Change Scope
• 13.3 Business Analysis Scope
• 13.4 Frameworks, Methodologies, and Techniques
• 13.5 Underlying Competencies
• 13.6 Impact on Knowledge Areas
• 13.7 Quiz
• 13.8 Key Takeaways
• Case Study
• Case Study Exercise

Course 2 Online Classroom Flexi Pass
Tableau Training
This Tableau certification course helps you master Tableau Desktop, a world-wide utilized data visualization, reporting, and business intelligence tool. Advance your career in analytics through our Tableau training and gain job-ready skills. Tableau certification is highly regarded by companies for data-related jobs and our Tableau online course trains you to use the tool effectively for preparing data, creating interactive dashboards, adding different dimensions, and drilling into outliers.

Course Content
Tableau Training

Lesson 01: Course Introduction

• 1.01 Course Introduction
• 1.02 What will you learn

Lesson 02: Introduction to Data Visualization and Tableau

• 2.01 Learning Objectives
• 2.02 What is Business Intelligence
• 2.03 Data Visualization01:02
• 2.04 Benefits of Visualizing Raw Data
• 2.05 History Of Data Visualization
• 2.06 Introduction to Tableau
• 2.07 Advantages and Disadvantages of Tableau
• 2.08 Download and Install Tableau Public
• 2.09 Load Data from Excel
• 2.10 User Interface of Tableau Public
• 2.11 Recap
• Knowledge Check

Lesson 03: Connecting to Various Data Sources and Preparing Data

• 3.01 Learning Objectives
• 3.02 Connecting to Tableau Server
• 3.03 Types of Connections
• 3.04 Connecting to Different Data Source
• 3.05 Preparing Data for Analysis
• 3.06 Joins
• 3.07 Relationships
• 3.08 Union
• 3.09 Data Blending
• 3.10 Aggregation in Tableau
• 3.11 Pivot
• 3.12 Data Interpreter01:05
• 3.13 Split01:17
• 3.14 Creating extracts with multiple tables
• 3.15 Recap
• Knowledge Check

Lesson 04: Working with Metadata

• 4.01 Learning Objectives
• 4.02 Data Types
• 4.03 Dimension vs Measures
• 4.04 Discrete vs. Continuous
• 4.05 Application of Discrete and Continuous Fields
• 4.06 Rename Hide Unhide and Sort Columns
• 4.07 Default Properties of Fields
• 4.08 Create Aliases
• 4.09 Recap
• Knowledge Check

Lesson 05: Spotlight One

• Spotlight

Lesson 06: Filters in Tableau

• 6.01 Learning Objectives
• 6.02 Dimension Filter
• 6.03 Measure Filter
• 6.04 Date Filter
• 6.05 Visual Filter
• 6.06 Interactive Filter
• 6.07 Data source Filter
• 6.08 Context Filter
• 6.09 Recap
• Knowledge Check

Lesson 07: Structuring Data in Tableau

• 7.01 Learning Objectives
• 7.02 Sort
• 7.03 Group
• 7.04 Sets
• 7.05 Bins and Histogram
• 7.06 Hierarchies
• 7.07 Quick Recap
• Knowledge Check

Lesson 08: Creating Charts and Graphs

• 8.01 Learning Objectives
• 8.02 Text table and Cross table
• 8.03 Highlight Tables
• 8.04 Heat Maps
• 8.05 Bar Chart
• 8.06 Stacked Bar Chart
• 8.07 Line Chart
• 8.08 Sparkline
• 8.09 Scatter Plot
• 8.10 Tree Map
• 8.11 Bubble chart
• 8.12 Word Cloud
• 8.13 Combined-Axis Chart
• 8.14 Dual-Axis Charts
• 8.15 Funnel Chart
• 8.16 Importance of Maps
• 8.17 Creating Maps with Tableau
• 8.18 How to Pan Zoom and Select in Tableau
• 8.19 Using Maps to Filter Data
• 8.20 Map Layering
• 8.21 Creating Custom Territories
• 8.22 Modifying Locations within Tableau
• 8.23 Geocoding
• 8.24 Using Background Image
• 8.25 Tableau Map Search
• 8.26 Recap
• Knowledge Check

Lesson 09: Spotlight Two

• Spotlight

Lesson 10: Calculations in Tableau

• 10.01 Learning Objectives
• 10.02 Types of Calculation
• 10.03 Ad-hoc Calculations
• 10.04 Table Calculations
• 10.05 Waterfall Chart
• 10.06 Pareto Chart
• 10.07 Built in Functions
• 10.08 Introduction to Level of Detail (LOD)
• 10.09 Fixed LOD
• 10.10 Include LOD
• 10.11 Exclude LOD
• 10.12 Nested LOD Expressions
• 10.13 Aggregation and Replication with LOD Expressions
• 10.14 Helper Functions
• 10.15 KPI Table
• 10.16 Recap
• Knowledge Check

Lesson 11: Advanced Visual Analytics

• 11.01 Learning Objectives
• 11.02 Parameters
• 11.03 Creating Parameters
• 11.04 Parameters with Filters
• 11.05 Parameters in Calculations
• 11.06 Column Selection Parameters
• 11.07 Chart Selection Parameters
• 11.08 Tooltips
• 11.09 Tooltip Visualizations
• 11.10 Reference and Trend Lines
• 11.11 Reference Bands
• 11.12 Distribution Bands
• 11.13 Bullet Chart
• 11.14 Box Plot
• 11.15 Forecasting
• 11.16 Clustering
• 11.17 Reference Distributions
• 11.18 Statistical Summary Card
• 11.19 Instant Analytics
• 11.20 Recap
• Knowledge Check

Lesson 12: Dashboards and Stories

• 12.01 Learning Objectives
• 12.02 Dashboard
• 12.03 Working with Layout
• 12.04 Objects in Dashboard
• 12.05 Dashboard Layouts and Formatting
• 12.06 Building Interactive Dashboard
• 12.07 Actions in Dashboard
• 12.08 Best Practices for Dashboard Creation
• 12.09 Dashboards for Mobile
• 12.10 Introduction to Storyboard
• 12.11 Creating and Updating Story Points
• 12.12 Publishing and Sharing Options
• 12.13 Recap
• Knowledge Check

Lesson 13: Spotlight Three

• Spotlight

Course 3
Data Analysis and Visualization with Python
Grow beyond spreadsheet software for data analytics. Perform statistical analyses and create meaningful data visualizations using Python.

Course Content
Section 01: Data Analytics with Python

Lesson 01: Learning Objective

• Course End Objectives

Lesson 02: Introduction

• Learning Objectives
• Introduction to Data Analysis with Python
• The Problem
• Understanding the Data
• Python Packages for Data Science
• Importing and Exporting Data in Python
• Getting Started Analyzing Data in Python
• INTRODUCTION . .

Lesson 03: Data Wrangling

• Learning Objectives
• Pre-processing Data in Python
• Dealing with Missing Values in Python
• Data Formatting in Python
• Data Normalization in Python
• Binning in Python
• Turning Categorical Values to Numerical Variables
• REVIEW DATA WRANGLING .

Lesson 04: Exploratory Data Analysis

Learning Objectives
Exploratory Data Analysis
Descriptive Statistics
GroupBy in Python
Analysis of Variance (ANOVA)
Correlation
Correlation – Statistics
REVIEW : EXPLORATORY DATA ANALYSIS
Lesson 05: Model Development

Learning Objectives
Introduction
Linear Regression and Multiple Linear Regression
Model Evaluation using Visualization
Polynomial Regression and Pipelines
Measures for In-Sample Evaluation
Prediction and Decision Making
REVIEW- MODEL_DEVELOPMENT.
Lesson 06: Model Evaluation

Learning Objectives
Model Evaluation and Refinement
Model Evaluation
Overfitting Underfitting and Model Selection
Ridge Regression
Grid Search
Model Evaluation and Refinement.
Unlocking IBM Certificate
Practice Projects
Bike-Sharing Demand Analysis
Section 02: Data Visualization With Python

Lesson 1 Welcome

Learning Objectives
Welcome
Lesson 2 Introduction to Visualization Tools

Learning Objectives
Introduction to Data Visualization
Introduction to Matplotlib
Basic Plotting with Matplotlib
Dataset on Immigration to Canada
Line Plots
Arrays and Matrices
Lesson 3 Basic Visualization Tools

Learning Objectives
Area Plots
Histograms
Bar Charts
Area Plots, Histograms, and Bar Charts
Lesson 4 Specialized Visualization Tools

Learning Objectives
Pie Charts
Box Plots
Scatter Plots
Pie Charts, Box Plots, Scatter Plots, and Bubble Plots
Lesson 5 Advanced Visualization Tools

Learning Objectives
Waffle Charts
Word Clouds
Seaborn Regression Plots
Waffle Charts, Word Clouds, and Regression Plots
Lesson 6 Creating Maps and Visualizing Geospatial Data

Learning Objectives
Introduction to Folium
Maps with Markers
Choropleth Maps
Generating Maps in Python
Unlocking IBM Certificate
Section 03: Simplilearn Jupyter Lab

Lesson 01: Lab Walk-Through

1.1 Demo: Jupyter Lab Walk-Through
Course 4
Mathematical Optimization for Business Problems by IBM
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.

Course Content
Section 01: The Big Picture

Lesson 01: Learning Objectives

Learning Objectives

Lesson 02: What is OR

What is OR04:02

Lesson 03: What is Optimization

What is Optimization

Lesson 04: Optimization Model

Optimization Model

Section 02: Linear Programming

Lesson 01: Learning Objectives

Learning Objectives

Lesson 02: Introduction to Linear Programming

Introduction to Linear Programming

Lesson 03: A Production Problem P1

A Production Problem POne

Lesson 04: A Production Problem P2

A Production Problem PTwo
Lesson 05: A Production Problem P3

A Production Problem PThree
Lesson 06: Algorithms for Solving Linear Programming P1

Algorithms for Solving LP POne04:43
Lesson 07: Algorithms for Solving Linear Programming P2

Algorithms for Solving LP PTwo
Section 03: Network Models

Lesson 01: Learning Objectives

Learning Objectives
Lesson 02: Intro to Network Models

Network Models
Lesson 03: Transportation Problem

Transportation Problem02:08
Lesson 04: Transshipment Problem

Transshipment Problem
Lesson 05: Assignment Problem

Assignment Problem
Lesson 06: Shortest Path Problem

Shortest Path Problem
Lesson 07: Critical Path Analysis

Critical Path Analysis
Section 04: Beyond Simple Linear Programming

Lesson 01: Learning Objectives

Learning Objectives
Lesson 02: Nonlinearity and Convexity

Nonlinearity and Convexity
Lesson 03: Piecewise Linear Programming

Piecewise Linear Programming
Lesson 04: Integer Programming

Integer Programming
Lesson 05: The Branch and Bound Method

The Branch and Bound Method
Lesson 06: Quadratic Programming

Quadratic Programming
Section 05: Modelling Practice

Lesson 01: Learning Objectives

Learning Objectives
Lesson 02: Modeling in the Real World

Modeling in the Real World
Lesson 03: Importance of Sparsity

Importance of Sparsity
Lesson 04: Tips for Better Models

Tips for Better Models
Course 5

Business Analyst Capstone
Enhance your Business Analysis skills with a hands-on, industry-relevant capstone project in three different domains: Retail, Banking, and Hospitality; bringing together every course into one portfolio-worthy capstone.

Course Content
Business Analyst Capstone
Business Analyst

Business Analyst
Course 6
Harvard Business Publishing Case Studies for Business Analysis
Learn Business Analysis concepts with 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.

Course Content
Harvard Business Publishing Case Studies for Business Analysis
Lesson 01: EVCard

HBR Case Study: EV Card: Pioneering Car-Sharing in China
Lesson 02: Pearson Successmaker

HBR Case Study: Pearson SuccessMaker
Why Online Bootcamp
Develop skills for real career growth
Cutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
Learn from experts active in their field, not out-of-touch trainers
Leading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
Learn by working on real-world problems
Capstone projects involving real world data sets with virtual labs for hands-on learning

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