Data Analytics & Engineering Bootcamp
Job Guarantee 1-Month Internship Live Projects
Launch your career in data, AI, and cloud in 12 weeks with real-world projects, expert mentorship, and a job guarantee.
Average Salary Increase
12-Month Job Placement Rate
Number of Students Hired
Our Data Graduates Are Hired by Top Industry Leaders
Kick Start Your Career in Data Analytics and AI
Hands-On Training With a Job Guarantee
- Start with zero coding knowledge and progress through hands-on, real-world projects that employers recognize. Build a strong portfolio, gain practical exposure, and prepare for interviews with expert guidance.
Data Analytics & Engineering Bootcamp
Guaranteed Job Placement
Complete our Bootcamp, and if you don’t secure a job, receive a full refund*.
Expert Skill Development
Master key tools like TSQL, Python, Tableau, and more to enhance your data analytics expertise.
Industry Networking & Mentorship
Gain valuable insights and career advice through networking with industry experts and mentorship opportunities.
Comprehensive Learning Experience
Benefit from instructor-led sessions, extensive e-learning resources, and flexible learning schedules.
Career Advancement Support
Enjoy benefits like an internship, 1-1 mentoring, and job placement assistance for 12 months post-completion.
CCS Learning Academy Bonuses
Tuition Reimbursement
After the bootcamp, work for CCS Global Tech and become eligible for a refund of up to 50% of your tuition fees!*
Flexible Payment Plans
Reserve your seat for only $495 and work with our team to finance the rest of your bootcamp tuition.
Referral Rewards
Get $500 off tuition if you refer a friend who registers for any online bootcamp course within 30 days!
Course Discount Voucher
Learning doesn't have to end! Graduates can enjoy 20% off any certification course in our catalog.
Free E-Learning Subscription
A $1,595 value! Get free access to all e-learning courses in any topic area for 12 months after graduation.
Internship
Pay without financing and become eligible for a 1-month internship with our parent company, CCS Global Tech!
The Only Bootcamp Training Powered by a 25+ Year Full-Service Technology Solutions Provider
- One-month internship with our parent company, CCS Global Tech.
- Work on live projects of CCS Global Tech’s private and public sector clients.
- Career opportunities with 100+ elite clients, including Microsoft, Amazon & Deloitte.
- Global operations across US, UK, Canada, LATAM & India.
- Training built by tech experts to match real-world tools, trends & employer expectations.
CCS Learning Academy vs Other Bootcamps
Make an informed decision with a side-by-side look at what sets CCS Learning Academy apart.
| FEATURE | CCS LEARNING ACADEMY | OTHER BOOTCAMPS |
|---|---|---|
› INDUSTRY BACKING | Backed by CCS Global Tech, a 25+ year global IT services company | Standalone training organizations with no affiliation |
› JOB GUARANTEE | Get hired or get full tuition fee refund | No refund or placement commitment |
› LIVE PROJECTS | Work on real projects from private & public sector clients | Simulated or classroom-based projects only |
› INTERNSHIP | 1-month internship at CCS Global Tech | Rare or not included |
› CAREER OPPORTUNITY | Career pathways with 100+ direct top-tier clients | Limited or no direct hiring network |
› INSTRUCTORS | Microsoft-certified instructors with industry experience | Not all instructors hold certifications or industry roles |
› CURRICULUM | Designed to meet real employer needs and current market trends | Often outdated or not tailored to hiring demands |
› CAREER SERVICES | 1:1 mentorship, resume support, interview prep & job placement | Career support varies or is minimal |
› FLEXIBLE SCHEDULE | Full-time and part-time options to fit your life | Limited or fixed schedules only |
› LIVE ONLINE CLASSES | 100% live, instructor-led sessions with real-time interaction | Pre-recorded videos or limited live support |
Considering any other bootcamp?
Request a custom side-by-side comparisonData Analytics & Engineering Bootcamp Comprehensive Curriculum
Our curriculum is designed by industry experts to prepare you for both data science and data engineering roles, giving you a competitive edge in the job market.
Module 1: SQL Server – Database Operations & Modeling
Build and optimize robust database solutions using SQL Server.
- Database Development Lifecycle
Learn SDLC, requirement documentation, and software design methodologies. - Data Modeling & Structuring
Create conceptual ER diagrams, normalize databases, and apply forward/reverse engineering. - SQL Server Programming
Work with DDL, DML, DQL, joins, sub-queries, CTEs, and control flow statements. - Database Objects & Performance
Manage views, functions, triggers, indexes, partitions, stored procedures, and error handling. - Dimensional Modeling & Warehousing
Design dimension/fact tables and implement INMON & KIMBALL approaches with full warehouse build.
Skills You’ll Gain:
DATA MODELING
NORMALIZATION
STORED PROCEDURES
OLAP/OLTP OPTIMIZATION
DATA WAREHOUSING
Module 2: Visual Studio BI Services (SSIS, SSAS, SSRS)
Utilize Microsoft BI tools for ETL, data modeling, and reporting.
- ETL with SSIS
Build data flows, use transformations, containers, error handling, and deploy with configurations. - Data Loading & Optimization
Apply incremental loads, troubleshooting, and performance optimization techniques. - Analytics with SSAS
Model tabular and multidimensional data, create KPIs, DAX calculations, partitions, and ensure security. - Reporting with SSRS
Design and deploy visual reports, set up subscriptions, and optimize report performance.
Skills You’ll Gain:
ETL
SSAS
DAX
SSRX
KPI
REPORTING
PERFORMANCE TUNING
Module 3: Multi-Cloud Data & BI Services (Azure & AWS)
Work across Azure and AWS platforms to develop complete BI solutions.
- Cloud Computing Fundamentals
Get started with Azure and AWS architecture, services, and cloud data principles. - Azure BI Ecosystem
Implement Azure Data Factory, Synapse, Databricks, Fabric, and Data Lakes. - AWS BI Tools
Leverage Glue, Athena, Redshift, and Lambda to design data pipelines. - End-to-End Cloud Projects
Execute comprehensive Azure and AWS BI projects from ingestion to visualization.
Skills You’ll Gain:
AWS REDSHIFT
DATABRICKS
CLOUD BI
SYNAPSE ANALYTICS
MICROSOFT FABRIC
Module 4: Snowflake – Data Warehousing & Governance
Harness Snowflake for cloud-native warehousing and governance solutions.
- Snowflake Architecture
Understand Snowflake’s compute-storage separation, pricing, and performance features. - Data Management & Optimization
Utilize clustering, caching, zero-copy cloning, and time travel for optimal efficiency. - Integration & Ingestion
Ingest using SnowSQL, Snowpipe, and integrate Snowflake with Power BI/Tableau. - Capstone Snowflake Project
Build a complete data warehouse with Snowflake tools and best practices.
Skills You’ll Gain:
CLOUD DATA WAREHOUSING
TIME TRAVEL
CLUSTERING
DATA INTEGRATION
- Python for Data & AI Workflows Use Python for data processing, automation, and building scalable data pipelines.
- Machine Learning Fundamentals Understand core ML concepts, model building, and evaluation using real datasets.
- Data Pipelines with AI Integration Build end-to-end pipelines that combine data engineering with ML models.
- AI & ML Project Implementation Work on real-world projects such as prediction models, classification, and data‑driven insights.
Skills You’ll Gain:
Module 6: Azure Open AI Tools & Copilot
Build AI-powered data solutions using Azure OpenAI and Copilot to automate workflows, generate insights, and enhance decision-making.
- Azure OpenAI Fundamentals
Understand Azure OpenAI services, models, and how to integrate them into data workflows. - Prompt Engineering & LLM Usage
Write effective prompts for data analysis, automation, and business use cases. - Copilot for Data & Analytics
Use Microsoft Copilot to automate reporting, query generation, and data exploration. - AI-Powered Data Workflows
Integrate AI into ETL pipelines, dashboards, and analytics processes. - Generative AI Use Cases
Build real-world use cases like automated insights, data summarization, and chatbot-driven analytics.
Skills You’ll Gain:
PROMPT ENGINEERING
MICROSOFT COPILOT
GENERATIVE AI
LLM APPLICATIONS
AI-DRIVEN ANALYTICS
Module 7: Versioning & Source Control
Collaborate and manage code through integrated version control systems.
- Team Collaboration
Coordinate development using Azure DevOps and GitHub. - CI/CD Pipelines
Deploy using Azure Databricks pipelines and manage versions effectively.
Skills You’ll Gain:
GITHUB
VERSION CONTROL
CI/CD
COLLABORATION
Module 8: Power Platforms
Transform business productivity through Microsoft Power Platform.
- Power BI Reporting & Sharing
Build models, use DAX, Power Query, KPIs, security roles, and deploy enterprise reports. - Data Management & Optimization
Optimize datasets using DAX Studio and manage deployments via pipelines and DataMarts. - Power Automate Workflows
Automate processes like CRM tasks, SQL/Excel operations, SharePoint integration, and REST API flows. - App Development with Power Apps
Create model-driven and canvas apps, integrate with SharePoint and BI, and enable writebacks.
Skills You’ll Gain:
POWER APPS
POWER AUTOMATE
DAX
PAGINATED REPORTS
ENTERPRISE REPORTING
Module 1: SQL Server – Database Operations & Modeling
Build and optimize robust database solutions using SQL Server.
- Database Development Lifecycle
Learn SDLC, requirement documentation, and software design methodologies. - Data Modeling & Structuring
Create conceptual ER diagrams, normalize databases, and apply forward/reverse engineering. - SQL Server Programming
Work with DDL, DML, DQL, joins, sub-queries, CTEs, and control flow statements. - Database Objects & Performance
Manage views, functions, triggers, indexes, partitions, stored procedures, and error handling. - Dimensional Modeling & Warehousing
Design dimension/fact tables and implement INMON & KIMBALL approaches with full warehouse build.
Skills You’ll Gain:
DATA MODELING
NORMALIZATION
STORED PROCEDURES
OLAP/OLTP OPTIMIZATION
DATA WAREHOUSING
Module 2: Visual Studio BI Services (SSIS, SSAS, SSRS)
Utilize Microsoft BI tools for ETL, data modeling, and reporting.
- ETL with SSIS
Build data flows, use transformations, containers, error handling, and deploy with configurations. - Data Loading & Optimization
Apply incremental loads, troubleshooting, and performance optimization techniques. - Analytics with SSAS
Model tabular and multidimensional data, create KPIs, DAX calculations, partitions, and ensure security. - Reporting with SSRS
Design and deploy visual reports, set up subscriptions, and optimize report performance.
Skills You’ll Gain:
ETL
SSAS
DAX
SSRX
KPI
REPORTING
PERFORMANCE TUNING
Module 3: Multi-Cloud Data & BI Services (Azure & AWS)
Work across Azure and AWS platforms to develop complete BI solutions.
- Cloud Computing Fundamentals
Get started with Azure and AWS architecture, services, and cloud data principles. - Azure BI Ecosystem
Implement Azure Data Factory, Synapse, Databricks, Fabric, and Data Lakes. - AWS BI Tools
Leverage Glue, Athena, Redshift, and Lambda to design data pipelines. - End-to-End Cloud Projects
Execute comprehensive Azure and AWS BI projects from ingestion to visualization.
Skills You’ll Gain:
AWS REDSHIFT
DATABRICKS
CLOUD BI
SYNAPSE ANALYTICS
MICROSOFT FABRIC
Module 4: Snowflake – Data Warehousing & Governance
Harness Snowflake for cloud-native warehousing and governance solutions.
- Snowflake Architecture
Understand Snowflake’s compute-storage separation, pricing, and performance features. - Data Management & Optimization
Utilize clustering, caching, zero-copy cloning, and time travel for optimal efficiency. - Integration & Ingestion
Ingest using SnowSQL, Snowpipe, and integrate Snowflake with Power BI/Tableau. - Capstone Snowflake Project
Build a complete data warehouse with Snowflake tools and best practices.
Skills You’ll Gain:
CLOUD DATA WAREHOUSING
TIME TRAVEL
CLUSTERING
DATA INTEGRATION
Module 5: Python (AI & ML) for Data & AI Engineering
Develop and automate data and AI workflows using Python for data engineering, machine learning, and real-world AI use cases.
- Python for Data & AI Workflows
Use Python for data processing, automation, and building scalable data pipelines. - Machine Learning Fundamentals
Understand core ML concepts, model building, and evaluation using real datasets. - Data Pipelines with AI Integration
Build end-to-end pipelines that combine data engineering with ML models. - AI & ML Project Implementation
Work on real-world projects such as prediction models, classification, and data‑driven insights.
Skills You’ll Gain:
MACHINE LEARNING
DATA PIPELINES
AUTOMATION
SCIKIT-LEARN
DATA ENGINEERING
Module 6: Azure Open AI Tools & Copilot
Build AI-powered data solutions using Azure OpenAI and Copilot to automate workflows, generate insights, and enhance decision-making.
- Azure OpenAI Fundamentals
Understand Azure OpenAI services, models, and how to integrate them into data workflows. - Prompt Engineering & LLM Usage
Write effective prompts for data analysis, automation, and business use cases. - Copilot for Data & Analytics
Use Microsoft Copilot to automate reporting, query generation, and data exploration. - AI-Powered Data Workflows
Integrate AI into ETL pipelines, dashboards, and analytics processes. - Generative AI Use Cases
Build real-world use cases like automated insights, data summarization, and chatbot-driven analytics.
Skills You’ll Gain:
PROMPT ENGINEERING
MICROSOFT COPILOT
GENERATIVE AI
LLM APPLICATIONS
AI-DRIVEN ANALYTICS
Module 7: Versioning & Source Control
Collaborate and manage code through integrated version control systems.
- Team Collaboration
Coordinate development using Azure DevOps and GitHub. - CI/CD Pipelines
Deploy using Azure Databricks pipelines and manage versions effectively.
Skills You’ll Gain:
GITHUB
VERSION CONTROL
CI/CD
COLLABORATION
Module 8: Power Platforms
Transform business productivity through Microsoft Power Platform.
- Power BI Reporting & Sharing
Build models, use DAX, Power Query, KPIs, security roles, and deploy enterprise reports. - Data Management & Optimization
Optimize datasets using DAX Studio and manage deployments via pipelines and DataMarts. - Power Automate Workflows
Automate processes like CRM tasks, SQL/Excel operations, SharePoint integration, and REST API flows. - App Development with Power Apps
Create model-driven and canvas apps, integrate with SharePoint and BI, and enable writebacks.
Skills You’ll Gain:
POWER APPS
POWER AUTOMATE
DAX
PAGINATED REPORTS
ENTERPRISE REPORTING
Tools & Technologies You Will Master
Real-World Projects You'll Build
Create an impressive portfolio with 50+ hands-on projects that showcase your ability to solve real business challenges using data. You’ll work on over 15+ signature projects, 20+ prototype challenges, 4 on-prem and cloud-based data warehouses, 2 Azure ELT pipelines, and 10 Power Platform automations.
Project 1: Sales Performance & KPI Dashboard
Tools: Power BI, Power Query, DAX
Design an interactive performance dashboard using DAX, drill-through, slicers, and bookmarks in Power BI. Analyze trends over time and deliver insights with real-world business data.
Project 2: Advanced Healthcare Reporting with DAX
Tools: Power BI, DAX
Work on complex DAX calculations to analyze healthcare data. Learn YoY, QoQ, MoM trends, running totals, rankings, and dynamic filters using functions like RANKX, TOPN, CALCULATE, SWITCH, and more.
Project 3: Automating HR Leave Requests
Tools: Power Automate, Excel, SharePoint
Build an end-to-end automated leave application and approval workflow using Power Automate. Streamline manual HR processes and integrate data across commonly used business platforms.
Project 4: Data Governance with Snowflake & Power BI
Tools: Snowflake, Power BI/Tableau
Implement data classification, dynamic row-level security (RLS), and data masking within Snowflake. Visualize secure and clean data in Power BI or Tableau while avoiding complex SQL scripts.
Project 5: Data Warehouse Design & Optimization
Tools: SQL Server
Create a data warehouse from scratch. Profile data, build complex stored procedures, handle incremental loads, and manage index fragmentation to optimize performance and storage.
Project 6: Automated Data Processing System
Tools: Azure Data Factory, Azure Databricks
Design an automated pipeline for real-time reporting. Use ADF for ETL, Databricks for processing large datasets, and Power BI for dynamic dashboards that support business decision-making.
Project 7: Medallion Architecture Pipeline on Azure
Tools: Azure Blob Storage, ADF, Databricks
Build a serverless data pipeline using the Medallion Architecture. Move data from raw (Bronze) to refined (Silver) and analytics-ready (Gold) layers across Azure services for efficient data management.
Project 8: Serverless AWS Data Pipeline
Tools: AWS S3, Lambda, Glue, Redshift, Athena
Create a serverless pipeline where incoming data is automatically processed using AWS Lambda and Glue. Store clean data in Redshift and analyze it with Athena—all without traditional server infrastructure.
Ultimate Challenge: Healthcare Performance Analytics System
Objective: Design a scalable reporting system
Develop a solution for tracking healthcare facility performance over time with historical accuracy and transparent data lineage. This includes mapping quality measures (QMs), creating integration scripts, and writing non-technical documentation.
What Our Students Say About Their Bootcamp Journey
Still on the fence about enrolling with us? Want some first-hand feedback?
Here's what our students are saying about their experience with us.
Our 100% Job Guarantee
We believe in our training and your success. Get a job or get your money back.
- Check your eligibility
- Complete bootcamp training
- Get dedicated career support
- Get a job or receive a full refund*
Enroll in the Bootcamp With 3 Easy Steps
Getting started is easy. Follow these steps to join our bootcamp and begin your data career journey.
Apply for the Bootcamp
Fill out a short application form to let us know you're ready. Tell us about your goals, schedule, and any questions you may have.
Connect with an Advisor
Speak one-on-one with an advisor who’ll walk you through the program, answer questions, and guide you through the next steps.
Complete Your Enrollment
Secure your spot by submitting your documents and payment. You’ll receive a confirmation email with all onboarding info.
Bootcamp Schedule
Upcoming Start Dates
Full-time ( 12 weeks )
- April 13, 2026
- May 11, 2026
- June 8, 2026
Timings: -Monday to Friday 9 am to 5 pm PST
Part-time ( 24 weeks )
- April 6, 2026
- May 4, 2026
- June 1, 2026
Flexible. Transparent. Affordable.
Choose a Payment Plan That Fits You
PAY IN FULL
SAVE $5500!
- Paid at time of enrollment: $6,995
- Total cost: $6,995
PAY IN INSTALLMENTS
SAVE $4500!
- Paid at time of enrollment: $1,500
- Paid after Week 2: $1,000
- Paid after Week 6: $1,000
- Paid after Week 10: $1,000
- Paid after Week 14: $1,000
- Paid after Week 18: $1,000
- Paid after Week 22: $1,000
- Paid after Week 26: $495
- Total cost: $7,995
FINANCE YOUR
TUITION
- Paid at time of enrollment: $2,000
- Financed amount: $10,000
- Pay about $300 - $900 per month in 12 to 42 months
- Learn about financing partner, Climb Credit
premium market access
- Paid at time of enrollment: $2,000
- Financed amount: $10,000
- Pay about $300 - $900 per month in 12 to 42 months
- Learn about financing partner, Climb Credit
For a limited time, reserve your seat for an initial deposit of only $495! Are you looking for a job with flexible work hours (after hours or on weekends)? We can help! Call or email us: 858-208-4141 or sales@ccslearningacademy.com. Are you a Veteran? We have Vet-specific programs that help you enter the tech sector. Contact us for a free consultation on training and hiring possibilities.
4.8 Out of 5 , Across 300+ reviews
4.8 Out of 5 , Across 300+ reviews
Student's Success Stories
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See More FAQData Analytics & Engineering Bootcamp is 12 weeks of short-term instructor-led training to offer you meaningful information, insights, and interpretations to upgrade your skills. Our program covers Data Modeling, T-SQL, SSIS, SSAS, SSRS, Power BI, Microsoft Azure, Tableau, Python, Snowflake, TFS, and Azure DevOps
Learning data analytics concepts facilitates data-driven decision-making that optimizes business performance, reduces company costs and boosts efficiency. This management method is used in all industries, including IT, banking, retail, e-commerce, and more.
This role is useful across all industries and gradually gaining importance. Protecting data is becoming very important for every organization. Companies demand certified data professionals to take good care of data security. The earning potential in the profession is very high, making it a good career option.
Intermediate understanding of database objects (entities, attributes, constraints, relationships, joins, etc.) Average logic-building skills Ability to write basic DDL/DML/DQL (any SQL) queries Average technical presentation & delivery skills Basic exposure to any programming language (C, C++, VB, Python, R, etc.)
To become an efficient data engineer you need: Strong programming skills in languages like Python, Java, Scala, and SQL. You must have an understanding of database systems, big technologies like Hadoop, Spark, and Kafka. Must have knowledge on cloud platforms such as AWS, Google Cloud, and Azure.
The increasing need for data-driven decision-making and the rapid growth of digital technologies is leading to a high demand for data engineers amongst various industries. Research shows that data engineering is a high demanding and a high paying career because more proactive leaders are necessary to take up various business decision architecture and decision-making roles. According to a recent Dice study, data engineering is one of the fastest-growing jobs in technology, with a predicted 50% year-over-year growth in the number of open positions.
As a data engineer, you can increase your payscale by demonstrating your expertise and showcasing your value to potential employers. Pursuing advanced degrees can increase your earning potential and elevate you to senior roles.
You can consider roles such as Data Analyst, Data Scientist, Data Engineer, Business Analyst, or Machine Learning Engineer. As a bootcamp graduate, you can work in a range of industries, like tech, finance, healthcare, and more. In fact, with your newfound skills in data analysis and engineering, you can look for an impactful career helping organizations make data-driven decisions by working on complex projects.
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