CLOUD DATA ANALYTICS

With data growing exponentially, businesses need analysts who can turn cloud-scale data into actionable insights. This bootcamp prepares you for careers in data analysis, business intelligence, and cloud data operations. You’ll master tools like Python, SQL, and Tableau, while learning to manage, analyze, and visualize data in modern cloud environments—backed by industry certifications and project-based learning.

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 $8,500

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

27%Projected growth in data analyst roles through 2031

Source: Lightcast

82%82% of businesses want analytics teams with cloud experience

Source: TDWI

$133K$103K Median salary for data analysts with cloud skills in the U.S.

Source: Glassdoor

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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)

Students 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, students 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, students 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

Students must possess the curiosity and a determination to persist with demanding hands-on exercises and assignments.

In addition, students need to fulfill the below requirements:

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

Delivery Guidelines

Courses are designed and delivered by our up-skilling partner StackRoute Learning, a top bootcamp provider and subsidiary of NIIT, one of the world's leading professional development organizations

Sessions will be conducted between 6:00PM – 10:00PM EST ON MONDAYS AND 6:00PM - 8:00PM EST ON THURSDAYS.

Live online lectures on context-setting and concept building concepts

60% of the program is hands-on i.e. in each program, a student would spend over 60% of time on coding or hands-on activities

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

Exit Profile

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:

Build and query databases using SQL and cloud-native tools

Perform statistical analysis with Python and Excel

Develop interactive dashboards in Tableau

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.

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