Data Science Bootcamp
Job Guarantee 1-Month Internship Live Projects
Master data science in 12 weeks with real-world projects, expert mentorship, and job-ready training designed to launch your career.
Average Salary Increase
12-Month Job Placement Rate
Number of Students Hired
Our Data Science Graduates Are Hired by Top Industry Leaders
Data Science 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.
Data Science Bootcamp
Job Guarantee Included
Complete the program and meet the requirements. If you do not land a job, we will refund your tuition.*
Learn Industry Tools and Techniques
Build practical experience with Python, SQL, data science workflows, and machine learning applications used by professionals.
Mentorship from Data Experts
Get guidance from experienced data scientists and professionals who help you stay on track and career focused.
Flexible and Immersive Learning
Join live classes, complete hands-on projects, and access recorded lessons at your own pace with full support.
Ongoing Career Support
Take advantage of internship opportunities, personalized coaching, and job assistance for up to twelve months after completing the program.
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 comparison
Data Science 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: Python for Data Science
Develop strong Python skills for data analysis, exploration, and visualization.
- Python Foundations: Variables, loops, functions, and file handling.
- Data Wrangling with Pandas: Clean, transform, and prepare real-world datasets.
- Data Visualization: Use Matplotlib and Seaborn to create compelling visuals.
- Exploratory Data Analysis (EDA): Identify patterns and outliers in datasets.
Skills You’ll Gain:
PANDAS
NUMPY
MATPLOTLIB
SEABORN
DATA CLEANING
EDA
Module 3: Machine Learning Fundamentals
Apply core ML concepts to build predictive models.
- Supervised & Unsupervised Learning
Understand regression, classification, clustering. - Model Evaluation
Use accuracy, precision, recall, F1 score, and confusion matrices. - Scikit-Learn Projects
Build models and tune them using cross-validation.
Skills You’ll Gain:
SCI-KIT-LEARN
REGRESSION
CLASSIFICATION
CLUSTERING
MODEL EVALUATION
Module 4: Visual Studio BI Services (SSIS, SSAS, SSRS)
Use Microsoft BI tools for ETL, data modeling, and report generation.
- ETL with SSIS:
Build packages, handle errors, use containers and transformations. - Analytics with SSAS:
Build cubes, tabular models, KPIs, and DAX calculations. - Reporting with SSRS:
Design, publish, and optimize reports.
Skills You’ll Gain:
SSAS
SSRS
ETL
KPI
DAX
BI REPORTING
Module 5: Multi-Cloud Data & BI Services (Azure & AWS)
Develop and deploy analytics pipelines across major cloud platforms.
- Cloud Basics:
Azure and AWS data services overview. - Azure Data Ecosystem:
Work with Synapse, Data Factory, Data Lake. - AWS Analytics Stack:
Use Redshift, Glue, Athena.
Skills You’ll Gain:
AZURE SYNAPSE
AWS GLUE
DATA FACTORY
REDSHIFT
Module 6: Snowflake for Data Science
Use Snowflake for efficient warehousing and analytics integration.
- Snowflake Architecture:
Understand compute, storage, performance. - Data Ingestion:
Use SnowSQL, Snowpipe, and 3rd-party connectors. - Analytics Integration:
Connect Snowflake with Python, Tableau, and Power BI.
Skills You’ll Gain:
CLOUD DATA PLATFORM
DATA INTEGRATION
WAREHOUSING
Module 7: Applied Machine Learning and Model Deployment
Take your machine learning skills further by building, refining, and operationalizing data science models.
- Feature Engineering & Tuning
Improve model accuracy through advanced data preprocessing. - Model Selection & Validation
Use best practices for testing and evaluation. - Deployment Techniques
Package models using Flask, APIs, or cloud-based tools.
Skills You’ll Gain:
MODEL DEPLOYMENT
VALIDATION
API INTEGRATION
ML PIPELINES
Module 8: Power Platform (Power BI, Power Apps, Power Automate)
Automate analytics workflows and create enterprise dashboards.
- Power BI Reports:
Build interactive dashboards, KPIs, and visualizations. - Power Automate:
Automate data workflows and task triggers. - Power Apps:
Create business applications with data integrations.
Skills You’ll Gain:
DAX
POWER AUTOMATE
POWER APPS
DATA VISUALIZATION
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: Python for Data Science
Develop strong Python skills for data analysis, exploration, and visualization.
- Python Foundations: Variables, loops, functions, and file handling.
- Data Wrangling with Pandas: Clean, transform, and prepare real-world datasets.
- Data Visualization: Use Matplotlib and Seaborn to create compelling visuals.
- Exploratory Data Analysis (EDA): Identify patterns and outliers in datasets.
Skills You’ll Gain:
PANDAS
NUMPY
MATPLOTLIB
SEABORN
DATA CLEANING
EDA
Module 3: Machine Learning Fundamentals
Apply core ML concepts to build predictive models.
- Supervised & Unsupervised Learning
Understand regression, classification, clustering. - Model Evaluation
Use accuracy, precision, recall, F1 score, and confusion matrices. - Scikit-Learn Projects
Build models and tune them using cross-validation.
Skills You’ll Gain:
SCI-KIT-LEARN
REGRESSION
CLASSIFICATION
CLUSTERING
MODEL EVALUATION
Module 4: Visual Studio BI Services (SSIS, SSAS, SSRS)
Use Microsoft BI tools for ETL, data modeling, and report generation.
- ETL with SSIS:
Build packages, handle errors, use containers and transformations. - Analytics with SSAS:
Build cubes, tabular models, KPIs, and DAX calculations. - Reporting with SSRS:
Design, publish, and optimize reports.
Skills You’ll Gain:
SSAS
SSRS
ETL
KPI
DAX
BI REPORTING
Module 5: Multi-Cloud Data & BI Services (Azure & AWS)
Develop and deploy analytics pipelines across major cloud platforms.
- Cloud Basics:
Azure and AWS data services overview. - Azure Data Ecosystem:
Work with Synapse, Data Factory, Data Lake. - AWS Analytics Stack:
Use Redshift, Glue, Athena.
Skills You’ll Gain:
AZURE SYNAPSE
AWS GLUE
DATA FACTORY
REDSHIFT
Module 6: Snowflake for Data Science
Use Snowflake for efficient warehousing and analytics integration.
- Snowflake Architecture:
Understand compute, storage, performance. - Data Ingestion:
Use SnowSQL, Snowpipe, and 3rd-party connectors. - Analytics Integration:
Connect Snowflake with Python, Tableau, and Power BI.
Skills You’ll Gain:
CLOUD DATA PLATFORM
DATA INTEGRATION
WAREHOUSING
Module 7: Applied Machine Learning and Model Deployment
Take your machine learning skills further by building, refining, and operationalizing data science models.
- Feature Engineering & Tuning
Improve model accuracy through advanced data preprocessing. - Model Selection & Validation
Use best practices for testing and evaluation. - Deployment Techniques
Package models using Flask, APIs, or cloud-based tools.
Skills You’ll Gain:
MODEL DEPLOYMENT
VALIDATION
API INTEGRATION
ML PIPELINES
Module 8: Power Platform (Power BI, Power Apps, Power Automate)
Automate analytics workflows and create enterprise dashboards.
- Power BI Reports:
Build interactive dashboards, KPIs, and visualizations. - Power Automate:
Automate data workflows and task triggers. - Power Apps:
Create business applications with data integrations.
Skills You’ll Gain:
DAX
POWER AUTOMATE
POWER APPS
DATA VISUALIZATION
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 Data Science Bootcamp With 3 Easy Steps
Getting started is easy. Follow these steps to join our bootcamp and begin your data science 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
SAVE $4000!
- Paid at time of enrollment: $8,500
- Total cost: $8,500
SAVE $3000!
- 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: $1,000
- Paid after Week 30: $1,000
- Total cost: $9,500
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 FAQOur Data Science Bootcamp is a 12-week immersive training program that covers Python programming, data wrangling, machine learning, cloud tools, and real-world projects. Designed for career changers and upskillers, it blends hands-on practice with live instruction and personalized career support.
Data science powers critical decision-making in every industry today. From predicting customer behavior to optimizing supply chains, data scientists play a key role in driving business outcomes using insights from large datasets.
Absolutely. Data science is one of the highest-paying and fastest-growing tech careers. With demand from companies like Amazon, Microsoft, and Google, it's a rewarding field that offers long-term career growth, job security, and impact.
You’ll build expertise in Python, SQL, machine learning, data visualization, cloud platforms (Azure, AWS), and tools like Pandas, Scikit-learn, and Power BI. You'll also work on real client projects and an applied ML module to showcase your capabilities.
No, but basic familiarity with Excel, logic-building, or any programming language is helpful. We recommend this program for learners with analytical thinking and a passion for working with data.
Graduates commonly land roles such as Data Scientist, Data Analyst, Machine Learning Engineer, or Business Intelligence Analyst. You can apply your skills across finance, healthcare, retail, tech, and more.
Yes. You'll receive resume and LinkedIn reviews, mock interviews, one-on-one coaching, and access to our 1-month internship at CCS Global Tech. Plus, our job placement guarantee provides peace of mind as you transition into a new career.
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