Cloud Data Analytics: Turning Cloud-Scale Data into Business Impact
Data is everywhere—and companies need professionals who can make sense of it. Cloud Data Analytics is the key to unlocking business intelligence in today’s digital world, where data is created, stored, and accessed across global cloud environments. With cloud-based platforms like AWS and Azure leading the way, analytics professionals must understand both the tools of analysis and the infrastructure that supports it.
This bootcamp prepares you to transform complex datasets into clear insights using Excel, SQL, Python, and Tableau—along with hands-on experience in cloud environments, data pipelines, and real-time integration tools. You’ll build a portfolio of data projects and develop the skills needed to break into or advance in analytics roles.
The Cloud Data Analytics Bootcamp is ideal for learners looking to blend business strategy, cloud technologies, and technical analysis into one in-demand career path.
Duration: 38 Weeks
Course Fee: As low as $7,500
Most learners qualify for discounts or scholarships. Ask about options available to you!
Market Trends
- Data Growth: Global data volume is expected to at least double every two years and that pace is increasing each year. (IDC)
- Cloud Dominance: 94% of enterprises use cloud services—creating demand for analysts skilled in cloud-native tools. (Flexera)
- Visualization Tools: Tableau and Python-based visualization tools continue to rank among the top platforms for business intelligence. (Gartner)
Job Demand
Source: Lightcast
Source: TDWI
Source: Glassdoor

Program Structure and Outcomes
The Cloud Data Analytics Bootcamp is designed to give learners a full journey—from foundational IT and cloud concepts to advanced data modeling and visualization. You'll graduate ready to build dashboards, extract trends, and work across cloud-based data ecosystems.
Foundational Skills (Weeks 1–8)
You will begin by mastering the fundamentals of cloud computing, programming, and database management. Key areas include:
• Cloud computing basics, service models (IaaS, PaaS, SaaS), and deployment models.
• Introduction to programming concepts using Python and JavaScript, including variables, data types, and data structures.
• Basic networking principles and cloud-native database services like Amazon RDS and Azure SQL Database.
• Preparation for Azure Cloud Fundamentals certification In the foundation courses, you will will learn to understand cloud architectures and how to apply them to real-world scenarios; write and debug basic Python and JavaScript programs; and configure and manage cloud resources for storage and database solutions.
Intermediate Skills (Weeks 9–18)
Develop your Linux, DevOps, and database administration skills while learning how to manage cloud environments and scale data systems. Key areas include:
• Linux system management, scripting, and troubleshooting.
• Cloud deployment, automation, and data lifecycle management.
• Introduction to data engineering concepts and big data infrastructure.
• Preparation for AWS cloud practitioner certification During these units, you will learn to Students gain hands-on practice managing data workflows in modern cloud settings.
Advanced Skills and Capstone Project (Weeks 19–37)
Dive into statistical modeling, visualization, and storytelling. Learn to derive insight from data and present it with clarity. Key topics include:
• SQL and NoSQL data querying and performance optimization.
• Data analysis and visualization using Python (Pandas, Matplotlib, Seaborn).
• Tableau dashboards, calculated fields, predictive modeling, and LOD expressions.
• Preparation for Certification as a Tableau Data Analyst As the bootcamp concludes, you’ll complete a capstone project that showcases your ability to solve a data problem from extraction through visualization in a real-world context.
Student Guidelines
Delivery Guidelines

Who Should Attend?
This bootcamp is ideal for problem-solvers, aspiring analysts, and professionals looking to enter the data field with a strong understanding of both analytics tools and cloud infrastructure. No previous tech experience required—just a willingness to learn and work with data.
- High School Diploma from an accredited institution.
- Spoken and written English skills.
- Appropriately configured PC with webcam and headset.
- Uninterrupted internet connection.
- Uninterrupted time to complete the learning activities on schedule.

Your Program Outcomes
Graduates of the Cloud Data Analytics Bootcamp will be prepared for roles such as Data Analyst, Business Intelligence Analyst, or Cloud Analytics Specialist. You’ll be able to:
- Analyze discrete data and structured data using Excel
- Apply descriptive and inferential statistical tools and techniques
- Summarize and represent data visually using graphs, charts, and pivot tables
- Build and query databases using SQL and cloud-native tools
- Write Python programs using in-built data types, constructs, and standard libraries
- Use Pandas, NumPy for statistical analysis on large datasets
- Design and create data schemes for structured data
- Programmatically connect with RDBMS to retrieve, manipulate, and analyze data
- Integrate data sources using APIs and automation tools
- Understand cloud architecture and data governance best practices
- Complete a capstone project demonstrating your technical and business insight

Program Coverage – Competencies - Knowledge and Skills
The curriculum is designed to help you build both breadth and depth. You’ll become comfortable with cloud platforms and data analytics workflows, while learning how to transform data into actionable insights.
Key competencies include:
• Core analytics tools: Excel, SQL, Python, Tableau
• Cloud fundamentals: AWS, Azure, APIs, data integration
• Data storytelling, dashboards, and BI presentation
• Data engineering concepts and pipeline development
• Real-world data modeling and capstone presentation
With expert mentors and live instructor sessions, you’ll develop hands-on skills and graduate ready to contribute to cloud-based data teams.
Participation in this program goes beyond attending live sessions—it demands a commitment to completing rigorous practical assignments and collaborative projects. Each assignment is reviewed and refined through instructor feedback to ensure mastery of the concepts. With expert mentors and live instructor sessions, you’ll develop hands-on skills and graduate ready to contribute to cloud-based data teams.
Programs FAQs
Question 1:How is my academic progress measured and monitored?
Your academic progress is governed by the provisions contained in the Student academic progress policy (SAP) in vogue at the time of enrollment detailed in the latest student manual available here Student Manual. The SAP policy details the academic commitment expected of a you on a weekly basis in terms of assignments to be submitted for review and feedback
Question 2:What is the tuition or cost for the program?
Question 3:Are there any scholarships available?
Yes! Our scholarship application requires only a few simple steps and may qualify you for a tuition reduction of up to 35% off standard pricing. Your program consultant can assist you throughout the application process and scholarship decisions are typically awarded within 2-3 business days.
Students who opt to forego scholarships can still receive a $1000 tuition discount if they elect to pay their tuition in advance of starting the program rather than financing their bootcamp. are eligible to receive a discount on the published tuition.
Question 4:What do I get at the completion of the program
Question 5:When are the bootcamps currently scheduled to start?
Question 6:Can I keep working while studying in the program?
Question 7:How long does the program take to complete?
Question 8:Do you provide career planning support?
Question 9:How are you different from other programs I can join or other locations?
Question 10:What criteria do you look for in potential students applying to the program?
Question 11:Do I need to possess an undergraduate degree to be eligible for the program?
Question 12:How much time should I expect to dedicate to this program?
Our program requires you to participate in
- Six (6) hours of scheduled/live in-class lecture and guided lab sessions per week.
- Three (3) hours optional scheduled/live office hours for individual support.
- Additionally, three (3) to five (5) hours of time out of class is expected to be necessary to complete assignments and prepare for course assessments.
For a total expected time commitment of 12-15 hours per week.
Question 13:Do I need to have previous experience in information technology before enrolling in one of the virtual programs?
Question 14:Will I need to purchase books?
Question 15:Who are the faculty for the programs?
Question 16:Are the courses available online or in person?
Question 17:I’m an employer. How can I hire one of your students or become a hiring partner?
You can contact one of our Career Services professionals at studentsupport@stackroute.com
Question 18:Do I need my own computer?
You will need an appropriately configured PC with webcam, headset, and uninterrupted internet connection. Required specifications for your PC are as follows:
- To attend the program, students are expected to use their own computer and have an uninterrupted broadband internet connection.
- Hardware Requirements:
- Laptop/Desktop with Intel i5 (or later) with minimum 8 GB RAM (recommend 16 GB RAM).
- Minimum of 50+ GB Free HDD Space.
- Windows 10 (Patched with Latest Security Updates)
- HD Webcam.
- Audio enabled preferably with headset.
- Software Requirements:
- Google Chrome Browser.
- To join the virtual live sessions, students will need to download, and setup zoom client on their computer (one time setup) as required.
- For offline work, students will need to install zoom and join zoom channel with their registered email.
- From time to time, students may be required to install a few software updates during different parts of the program. Faculty will share the details during the respective stages of the program. The software needs may vary from program to program. These are mostly either open sources or evaluation version.
- For some of the programs, MS Office tools would be required. For example, Data Analytics program will require students to have MS Excel.
Question 19:Can I use Mac Book for the program?
Question 20:Can I use a Chrome Book or Tablet for my bootcamp?
Question 21:Do I need to purchase any application / software before starting the program?
Question 22:Can I use the free Excel version from Office 365?