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.
Data Modeling
Module 1: Data Modeling
Transform business requirements into accurate and scalable database designs.
- Requirements Gathering & Business Rules
Capture stakeholder needs, define business rules, and document system requirements. - Data Models & ER Diagrams
Create conceptual, logical, and physical data models using entity-relationship diagrams. - Normalization & Relationships
Apply normalization, keys, constraints, and relationships to improve data integrity. - Source-to-Target Mapping
Map data from source systems to target databases and analytical platforms.
Skills You’ll Gain:
DATA MODELING
ER DIAGRAMS
NORMALIZATION
SOURCE-TO-TARGET MAPPING
SQL Programming
Module 2: SQL Programming
Write efficient SQL for reporting, transformation, database development, and performance improvement.
- SQL Fundamentals
Work with DQL, DDL, DML, joins, subqueries, and common table expressions. - Advanced SQL Development
Use window functions, views, stored procedures, functions, and triggers. - Transactions & Security
Manage transactions, database permissions, access controls, and data security. - Query Performance Optimization
Improve performance using indexes, execution plans, and query optimization techniques.
Skills You’ll Gain:
JOINS
CTES
WINDOW FUNCTIONS
STORED PROCEDURES
QUERY OPTIMIZATION
Data Warehouse Concepts
Module 3: Data Warehouse Concepts
Design analytical data models for reporting and business decision-making.
- Facts, Dimensions & Grain
Define fact tables, dimension tables, grain, measures, and surrogate keys. - Warehouse Modeling
Build star, snowflake, and enterprise warehouse schemas using Kimball and Inmon approaches. - Slowly Changing Dimensions
Manage historical changes across dimension records using SCD techniques. - Data Integration & Quality
Apply ETL, ELT, change data capture, validation, and data quality controls.
Skills You’ll Gain:
DIMENSIONAL MODELING
ETL
ELT
CDC
DATA QUALITY
Azure Data Services Concepts
Module 4: Azure Data Services
Build, secure, and manage cloud-based data solutions on Microsoft Azure.
- Azure Storage & Databases
Work with Blob Storage, Data Lake Storage, and Azure SQL Database. - Data Integration & Analytics
Create pipelines and analytical solutions using Azure Data Factory and Synapse Analytics. - Microsoft Fabric & OneLake
Build lakehouses and warehouses using Microsoft Fabric and OneLake. - Governance & Advanced Processing
Manage data governance with Purview and large-scale processing with Azure Databricks.
Skills You’ll Gain:
AZURE SQL
SYNAPSE
MICROSOFT FABRIC
ONELAKE
PURVIEW
AWS Data Services
Module 5: AWS Data Services
Design and manage scalable data solutions using Amazon Web Services.
- Storage & Access Management
Manage cloud data using Amazon S3, IAM roles, policies, and permissions. - Data Integration & Cataloging
Build data pipelines with AWS Glue and organize metadata using Glue Data Catalog. - Querying & Warehousing
Analyze data with Athena, RDS, and Amazon Redshift. - Governance, Monitoring & Cost
Use Lake Formation, CloudWatch, security controls, and cost management practices.
Skills You’ll Gain:
AWS GLUE
ATHENA
REDSHIFT
LAKE FORMATION
CLOUDWATCH
Databricks
Module 6: Databricks
Build governed lakehouse pipelines for batch, streaming, and analytical workloads.
- Databricks Workspace & Spark
Use workspaces, notebooks, Spark, and PySpark for distributed data processing. - Delta Lake & Data Ingestion
Create reliable pipelines using Delta Lake, Auto Loader, and medallion architecture. - Pipeline Orchestration
Develop and manage workflows using Lakeflow, jobs, and SQL warehouses. - Governance & Machine Learning
Control data access with Unity Catalog and manage machine learning workflows with MLflow.
Skills You’ll Gain:
DELTA LAKE
AUTO LOADER
LAKEFLOW
UNITY CATALOG
MLFLOW
Snowflake Data Warehouse
Module 7: Snowflake Data Warehouse
Load, transform, secure, and optimize analytical workloads in Snowflake.
- Snowflake Architecture
Understand cloud services, storage, compute layers, and virtual warehouses. - Data Loading & Development
Load and process data using stages, Snowpipe, Snowflake CLI, and Snowpark. - Automated Data Processing
Build workflows using streams, tasks, and dynamic tables. - Data Protection & Sharing
Use Time Travel, cloning, secure data sharing, and role-based security.
Skills You’ll Gain:
SNOWPIPE
SNOWPARK
STREAMS
DYNAMIC TABLES
DATA SHARING
Power Platform
Module 8: Power Platform
Transform business productivity through Microsoft Power Platform.
- Power BI Reporting & Sharing
Build reports using Power BI Desktop, Power Query, DAX, and Power BI Service. - Semantic Models & Connectivity
Create semantic models and manage secure data access through gateways. - Deployment & Governance
Manage report releases using deployment pipelines and governance controls. - Workflow and App Development
Automate processes with Power Automate and create business applications with Power Apps.
Skills You’ll Gain:
POWER QUERY
DAX
POWER AUTOMATE
POWER APPS
SEMANTIC MODELS
Python
Module 9: Python
Apply Python to data cleaning, analysis, visualization, automation, and predictive modeling.
- Python Programming Fundamentals
Work with variables, data structures, functions, files, and object-oriented programming. - Data Analysis & Visualization
Analyze and present data using NumPy, pandas, and Matplotlib. - APIs & Database Integration
Connect Python applications with APIs, files, SQL databases, and external systems. - Machine Learning & Deep Learning
Build predictive models using machine learning and deep learning techniques.
Skills You’ll Gain:
NUMPY
PANDAS
MATPLOTLIB
API INTEGRATION
MACHINE LEARNING
AI Concepts
Module 10: AI Concepts
Design secure and practical AI applications for business use.
- Generative AI & Language Models
Understand generative AI, language models, prompt design, and model capabilities. - Embeddings & RAG Applications
Build retrieval-augmented generation solutions using embeddings and vector databases. - AI Agents & Tool Integration
Develop tool-based applications, memory systems, and multi-agent workflows. - Evaluation, Safety & Governance
Evaluate AI outputs and manage safety, governance, security, and deployment.
Skills You’ll Gain:
PROMPT DESIGN
VECTOR DATABASES
RAG
AI AGENTS
AI GOVERNANCE
Transform business requirements into accurate and scalable database designs.
- Requirements Gathering & Business Rules Capture stakeholder needs, define business rules, and document system requirements.
- Data Models & ER Diagrams Create conceptual, logical, and physical data models using entity-relationship diagrams.
- Normalization & Relationships Apply normalization, keys, constraints, and relationships to improve data integrity.
- Source-to-Target Mapping Map data from source systems to target databases and analytical platforms.
Skills You’ll Gain:
Write efficient SQL for reporting, transformation, database development, and performance improvement.
- SQL Fundamentals Work with DQL, DDL, DML, joins, subqueries, and common table expressions.
- Advanced SQL Development Use window functions, views, stored procedures, functions, and triggers.
- Transactions & Security Manage transactions, database permissions, access controls, and data security.
- Query Performance Optimization Improve performance using indexes, execution plans, and query optimization techniques.
Skills You’ll Gain:
Design analytical data models for reporting and business decision-making.
- Facts, Dimensions & Grain Define fact tables, dimension tables, grain, measures, and surrogate keys.
- Warehouse Modeling Build star, snowflake, and enterprise warehouse schemas using Kimball and Inmon approaches.
- Slowly Changing Dimensions Manage historical changes across dimension records using SCD techniques.
- Data Integration & Quality Apply ETL, ELT, change data capture, validation, and data quality controls.
Skills You’ll Gain:
Build, secure, and manage cloud-based data solutions on Microsoft Azure.
- Azure Storage & Databases Work with Blob Storage, Data Lake Storage, and Azure SQL Database.
- Data Integration & Analytics Create pipelines and analytical solutions using Azure Data Factory and Synapse Analytics.
- Microsoft Fabric & OneLake Build lakehouses and warehouses using Microsoft Fabric and OneLake.
- Governance & Advanced Processing Manage data governance with Purview and large-scale processing with Azure Databricks.
Skills You’ll Gain:
Design and manage scalable data solutions using Amazon Web Services.
- Storage & Access Management Manage cloud data using Amazon S3, IAM roles, policies, and permissions.
- Data Integration & Cataloging Build data pipelines with AWS Glue and organize metadata using Glue Data Catalog.
- Querying & Warehousing Analyze data with Athena, RDS, and Amazon Redshift.
- Governance, Monitoring & Cost Use Lake Formation, CloudWatch, security controls, and cost management practices.
Skills You’ll Gain:
Build governed lakehouse pipelines for batch, streaming, and analytical workloads.
- Databricks Workspace & Spark Use workspaces, notebooks, Spark, and PySpark for distributed data processing.
- Delta Lake & Data Ingestion Create reliable pipelines using Delta Lake, Auto Loader, and medallion architecture.
- Pipeline Orchestration Develop and manage workflows using Lakeflow, jobs, and SQL warehouses.
- Governance & Machine Learning Control data access with Unity Catalog and manage machine learning workflows with MLflow.
Skills You’ll Gain:
Load, transform, secure, and optimize analytical workloads in Snowflake.
- Snowflake Architecture Understand cloud services, storage, compute layers, and virtual warehouses.
- Data Loading & Development Load and process data using stages, Snowpipe, Snowflake CLI, and Snowpark.
- Automated Data Processing Build workflows using streams, tasks, and dynamic tables.
- Data Protection & Sharing Use Time Travel, cloning, secure data sharing, and role-based security.
Skills You’ll Gain:
Transform business productivity through Microsoft Power Platform.
- Power BI Reporting & Sharing Build reports using Power BI Desktop, Power Query, DAX, and Power BI Service.
- Semantic Models & Connectivity Create semantic models and manage secure data access through gateways.
- Deployment & Governance Manage report releases using deployment pipelines and governance controls.
- Workflow and App Development Automate processes with Power Automate and create business applications with Power Apps.
Skills You’ll Gain:
Apply Python to data cleaning, analysis, visualization, automation, and predictive modeling.
- Python Programming Fundamentals Work with variables, data structures, functions, files, and object-oriented programming.
- Data Analysis & Visualization Analyze and present data using NumPy, pandas, and Matplotlib.
- APIs & Database Integration Connect Python applications with APIs, files, SQL databases, and external systems.
- Machine Learning & Deep Learning Build predictive models using machine learning and deep learning techniques.
Skills You’ll Gain:
Design secure and practical AI applications for business use.
- Generative AI & Language Models Understand generative AI, language models, prompt design, and model capabilities.
- Embeddings & RAG Applications Build retrieval-augmented generation solutions using embeddings and vector databases.
- AI Agents & Tool Integration Develop tool-based applications, memory systems, and multi-agent workflows.
- Evaluation, Safety & Governance Evaluate AI outputs and manage safety, governance, security, and deployment.
Skills You’ll Gain:
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 )
- August 10, 2026
- September 14, 2026
- October 12, 2026
Timings: -Monday to Friday 9 am to 5 pm PST
Part-time ( 24 weeks )
- August 3, 2026
- September 7, 2026
- October 5, 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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