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Data Analytics and Engineering Bootcamp

Earn your Data Analytics & Engineering certificate in 12 weeks.​

Data Analytics & Engineering Bootcamp

* Student financing options are available!
** Transitioning military and Veterans, please contact us for a free training & hiring consultation.

 

Our Data Analytics Graduates Have Been Hired By:

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4.8 out of 5 across 250+ reviews

Check us out on Career KarmaSwitchUp and Course Report

Why Enroll In Data Analytics & Engineering Bootcamp

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.

Innovative Problem-Solving Skills

Learn to identify gaps and innovate solutions, enhancing product development and business processes.

Real-Time Decision Making

Acquire skills in real-time optimization to predict and react optimally to various business scenarios.

Comprehensive Learning Experience

Benefit from 12 weeks of 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.

Technologies You Will Master

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MSAzure
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Supporting Diversity and Innovation in Tech

Unlock $25,000 Scholarship Fund to Launch Your Tech Career!

At CCS Learning Academy, we believe in empowering the underrepresented and fostering innovation. Our $25,000 monthly scholarship fund supports women, veterans, racial minorities, individuals with disabilities, recent graduates, and aspiring entrepreneurs. The first 25 students each month will receive $1,000 off their tuition fees for our Data Science and Data Engineering Bootcamp. Seize this opportunity to jumpstart your tech career!

Bootcamp Schedule

Online bootcamp courses are normally held Monday through Friday from 9:00 a.m. to 5:00 p.m.

Upcoming Start Dates

Weekdays (full-day schedule)

July 01, 2024
August 05, 2024
September 09, 2024

Weekdays (evening schedule)

July 08, 2024
August 12, 2024
September 16, 2024

Weekends (full-day schedule)

July 13, 2024
August 10, 2024
September 14, 2024

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!

  • ASK QUESTIONS
Please contact our Learning Experts if you have questions or are unsure whether this online Data Analytics & Engineering bootcamp is right for you.
  • GET ANSWERS
Our experts can give you advice and information on how to make the most of this Data Analytics bootcamp and how to develop your career.
  • APPLY
Seating is limited! Please use the form at the bottom of this page to submit your application.
  • LEARN
Instructor-led training and Q and A sessions feature demonstrations and use case scenarios on a number of topics.
  • PRACTICE
The best way to learn is to do. We include hands-on projects, quizzes, and other interactive activities to instill the knowledge and skills needed to be fully prepared when you’re hired.
  • JOB PREP
We help you prepare for the job search via mock interviews and resume reviews.
  • CONGRATULATIONS!
You’re ready to find a job!
  • UPDATE YOUR RESUME
Update your resume / CV to emphasize your new knowledge of and experience with Data Analytics and Engineering tools.
  • APPLY FOR JOB
You’re ready to apply for positions like Data Scientist, Data Engineer, Machine Learning Engineer, Data Architect, and more!
Enroll in industry relevant Data Analytics and Engineering course

Solve Data Analyst Challenges

Data analysts use a variety of tools, techniques and technologies as part of the data analytics process. Depending on the problem encountered, they pick the best combination for faster and more accurate results. Data analysts work with analysts, engineers, machine learning experts and statisticians to ensure that the entire data analytics process is followed and organizational goals are achieved. Challenges faced by Data Analysts:

  • Multiple data sources: Generating and analyzing data in different formats from various sources can be difficult and time-consuming.
  • Identifying and understanding the exact business problem: Working with multiple stakeholders and business managers to define the exact problem can be challenging especially with different teams and people involved.
  • Elimination of bias: Bias is an imbalance in the training data or prediction model across different groups, such as age or income bracket. Machine Learning enables addressing biases by identifying and measuring them in the data and model.

Let's Talk?

Kickstart your Data Analytics and Engineering Career

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What kinds of roles do Data Analytics & Engineering Bootcamp graduates land?

Who Should Attend Data Analytics & Engineering Bootcamp​

Program At A Glance

CCS Learning Academy’s Data Analytics & Engineering bootcamp is an intense program designed to help you develop genuine expertise in the data analytics field as quickly as possible. With decades of experience in talent sourcing and staff augmentation, we know exactly what kinds of abilities and certifications employers tend to look for — and we’re here to help you acquire them.

To be eligible for participation in this bootcamp, you need to have the following:

  • 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.)
  • This program is available at any learning hub or online
  • This program is eligible for VA tuition benefits
  • Job placement assistance is provided to graduates for 12 months immediately following bootcamp completion
  • Please contact us for government and corporate pricing

Data Analytics and Engineering Bootcamp Curriculum

This module focuses on various aspects of database designing concepts right from entities, keys, constraints, and normalization to creating physical instance of databases. The focus of Data Modeling is to understand different stages of database designs patterns along with ways to gather business requirements.

Topics:

  • Software Development Life Cycle (SDLC) 
  • Requirement Gathering Techniques 
  • Documentation 
  • Software Design Methodologies 
  • ER-Diagrams 
  • Normalization 
  • Reverse and Forward Engineering 
  • Database Integrity 

 

This module exposes the candidates to the very details of T-SQL programming along with working on database objects such as tables, views, stored procedures, user defined functions, triggers, & indexes. Module also covers performance implications of multitude of SQL structures such as joins, sub-queries, set operators, CTEs to be incorporated for implementing business requirements.

Topics:

  • Introduction to SQL Server
  • Data Definition Language (DDL)
  • Data Manipulation Language (DML)
  • Data Query Language (DQL)
  • Constraints & Wild Cards
  • Joins & Sub Queries
  • Set Operators & Views
  • Dynamic SQL & Control Flow Statements
  • Stored Procedures, Functions & Triggers
  • Indexes
  • Error Handling
  • Transaction Control Language (TCL)
  • Partitions

Data Warehousing module provides detailed insight on the designing and developing data structures to store historical data for analytical purposes. This module further explains more about the internals and architecture of Data Warehouses and Data Marts following Kimball or Inmon Methodologies.

Topics:

  • Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) 
  • Dimension Tables 
  • Fact Tables 
  • Data Warehouse Architecture 
  • INMON and KIMBALL approach  

 

This module talks about SSIS as an ETL tool to practically connect to different data sources, perform various data operations and load data into dimensional structure. Candidates will also be exposed to various concepts of ETL which includes Data Profiling, Data Cleansing, Data Validations, Error Handing and Deployment. 

Topics:

  • Introduction to SSIS 
  • Data Sources and Connectivity methods 
  • Data Flow and Control Flow 
  • Transformations 
  • Tasks 
  • Containers 
  • Error Handling 
  • Logging 
  • Checkpoints 
  • Transactions 
  • Package and Project Deployment 
  • Incremental Load 

Microsoft SQL Server Analysis Services is an online analytical processing and data mining tool in Microsoft SQL Server. SSAS is used as a tool by organizations to analyze and make sense of information possibly spread out across multiple databases, or in disparate tables or files 

Topics: 

  • Introduction to SSAS 
  • Tabular Model 
  • DAX 
  • Perspectives 
  • Key Performance Indicators 
  • Row Level Security 
  • Partitions 
  • Deployment 
  • Processing 

 

This module is mainly used as presentation layer for creating different types of visual reports for making business decisions. Candidates will be learning different types of reporting constructs, publishing, maintaining reports on Report Server. 

Topics: 

  • Introduction to SSRS 
  • Configuration Manager 
  • Report Server and Report Manager 
  • Rendering Reports 
  • Designing Reports 
  • Deploy Reports 
  • Caching 
  • Snapshot 
  • Subscriptions 

 

This module is primarily focused on creating data visualizations, data cleansing, DAX for calculations. In this module candidates will also learn different ways of publishing, embedding, maintaining reports & dashboards within Power BI Desktop and Power BI Service 

Topics: 

  • Introduction to Power BI 
  • Power BI Desktop 
  • Connectivity Methods 
  • Visualizations 
  • Power Query 
  • DAX 
  • Row Level Security 
  • Power BI Service 
  • Gateways 
  • Power BI Licenses 

 

This module focuses on Infrastructure & Platform services which includes compute, storage, Azure data services (Azure SQL, Data Pools, Synapse Analytics and Data Factory). Candidates will learn provisioning and maintaining above mentioned services and understanding the benefits of cloud computing on MS-Azure platform 

Topics: 

  • Introduction to Cloud Computing 
  • Introduction to Azure 
  • Azure Storage 
  • Azure SQL 
  • PowerShell 
  • Data Migration 
  • Azure Data Factory 
  • Azure BI Services 

 

Snowflake is a cloud data warehouse that can store and analyze all your data records in one place. It can automatically scale up/down its compute resources to load, integrate, and analyze data. Snowflake enables data storage, processing, and analytic solutions that are faster, easier to use, and far more flexible than traditional offerings.

Topics: 

  • Introduction to Snowflake Architecture
  • Snowflake Editions and Pricing Model
  • Resource Monitor and Data Storage (Micro-partitions)
  • Clustering in Snowflake
  • Query History, Caching, Time travel, Fail Safe, Zero Copy Cloning
  • Objects in Snowflake
  • Data Ingestion to Snowflake using SnowSQL, Snowpipe

 

Python is a computer programming language used to build websites and software, automate tasks, and conduct data analysis. Python has become a staple in data science, allowing data analysts and other professionals to use the language to conduct complex statistical calculations, create data visualizations, build machine learning algorithms, manipulate and analyze data, and complete other data-related tasks. 

Topics: 

  • Introduction of Python 
  • Data Types and Variables 
  • List, Dictionary, Sets and Tuples 
  • Control Flow Statements 
  • Functions in Python 
  • File Handling 
  • Object Oriented Concepts 
  • Error Handling 
  • Web Scrapping Principles 
  • Graphical User Interface in Python 
  • Numpy, Panda and Matplotlib Library 

Sharpen your career skills with our “Career Success” module in the bootcamp. Master job search prep, networking for interviews, and refine application materials. Enhance your interview game with technical and non-technical prep and practical mock interviews. Cap it off with a graduation milestone, marking your readiness for a successful career journey. Gain the edge for lasting professional success with Career Success.

Topics:

  • Career Success: Preparing for the Job Search
  • Building a network and using it to Land Interviews
  • Career Success: Resume, Cover Letter, LinkedIn Review
  • Career Success: Interview Prep (Technical and Non-Technical)
  • Mock Interviews
  • Graduation

This module focuses on various aspects of database designing concepts right from entities, keys, constraints, and normalization to creating physical instance of databases. The focus of Data Modeling is to understand different stages of database designs patterns along with ways to gather business requirements.

Topics:

  • Software Development Life Cycle (SDLC) 
  • Requirement Gathering Techniques 
  • Documentation 
  • Software Design Methodologies 
  • ER-Diagrams 
  • Normalization 
  • Reverse and Forward Engineering 
  • Database Integrity 

This module exposes the candidates to the very details of T-SQL programming along with working on database objects such as tables, views, stored procedures, user defined functions, triggers, & indexes. Module also covers performance implications of multitude of SQL structures such as joins, sub-queries, set operators, CTEs to be incorporated for implementing business requirements.

Topics:

  • Introduction to SQL Server
  • Data Definition Language (DDL)
  • Data Manipulation Language (DML)
  • Data Query Language (DQL)
  • Constraints & Wild Cards
  • Joins & Sub Queries
  • Set Operators & Views
  • Dynamic SQL & Control Flow Statements
  • Stored Procedures, Functions & Triggers
  • Indexes
  • Error Handling
  • Transaction Control Language (TCL)
  • Partitions

Data Warehousing module provides detailed insight on the designing and developing data structures to store historical data for analytical purposes. This module further explains more about the internals and architecture of Data Warehouses and Data Marts following Kimball or Inmon Methodologies.

Topics:

  • Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) 
  • Dimension Tables 
  • Fact Tables 
  • Data Warehouse Architecture 
  • INMON and KIMBALL approach  

This module talks about SSIS as an ETL tool to practically connect to different data sources, perform various data operations and load data into dimensional structure. Candidates will also be exposed to various concepts of ETL which includes Data Profiling, Data Cleansing, Data Validations, Error Handing and Deployment. 

Topics:

  • Introduction to SSIS 
  • Data Sources and Connectivity methods 
  • Data Flow and Control Flow 
  • Transformations 
  • Tasks 
  • Containers 
  • Error Handling 
  • Logging 
  • Checkpoints 
  • Transactions 
  • Package and Project Deployment 
  • Incremental Load 

Microsoft SQL Server Analysis Services is an online analytical processing and data mining tool in Microsoft SQL Server. SSAS is used as a tool by organizations to analyze and make sense of information possibly spread out across multiple databases, or in disparate tables or files 

Topics: 

  • Introduction to SSAS 
  • Tabular Model 
  • DAX 
  • Perspectives 
  • Key Performance Indicators 
  • Row Level Security 
  • Partitions 
  • Deployment 
  • Processing 

This module is mainly used as presentation layer for creating different types of visual reports for making business decisions. Candidates will be learning different types of reporting constructs, publishing, maintaining reports on Report Server. 

Topics: 

  • Introduction to SSRS 
  • Configuration Manager 
  • Report Server and Report Manager 
  • Rendering Reports 
  • Designing Reports 
  • Deploy Reports 
  • Caching 
  • Snapshot 
  • Subscriptions 

This module is primarily focused on creating data visualizations, data cleansing, DAX for calculations. In this module candidates will also learn different ways of publishing, embedding, maintaining reports & dashboards within Power BI Desktop and Power BI Service 

Topics: 

  • Introduction to Power BI 
  • Power BI Desktop 
  • Connectivity Methods 
  • Visualizations 
  • Power Query 
  • DAX 
  • Row Level Security 
  • Power BI Service 
  • Gateways 
  • Power BI Licenses 

This module focuses on Infrastructure & Platform services which includes compute, storage, Azure data services (Azure SQL, Data Pools, Synapse Analytics and Data Factory). Candidates will learn provisioning and maintaining above mentioned services and understanding the benefits of cloud computing on MS-Azure platform 

Topics: 

  • Introduction to Cloud Computing 
  • Introduction to Azure 
  • Azure Storage 
  • Azure SQL 
  • PowerShell 
  • Data Migration 
  • Azure Data Factory 
  • Azure BI Services 

Snowflake is a cloud data warehouse that can store and analyze all your data records in one place. It can automatically scale up/down its compute resources to load, integrate, and analyze data. Snowflake enables data storage, processing, and analytic solutions that are faster, easier to use, and far more flexible than traditional offerings.

Topics: 

  • Introduction to Snowflake Architecture
  • Snowflake Editions and Pricing Model
  • Resource Monitor and Data Storage (Micro-partitions)
  • Clustering in Snowflake
  • Query History, Caching, Time travel, Fail Safe, Zero Copy Cloning
  • Objects in Snowflake
  • Data Ingestion to Snowflake using SnowSQL, Snowpipe

Python is a computer programming language used to build websites and software, automate tasks, and conduct data analysis. Python has become a staple in data science, allowing data analysts and other professionals to use the language to conduct complex statistical calculations, create data visualizations, build machine learning algorithms, manipulate and analyze data, and complete other data-related tasks. 

Topics: 

  • Introduction of Python 
  • Data Types and Variables 
  • List, Dictionary, Sets and Tuples 
  • Control Flow Statements 
  • Functions in Python 
  • File Handling 
  • Object Oriented Concepts 
  • Error Handling 
  • Web Scrapping Principles 
  • Graphical User Interface in Python 
  • Numpy, Panda and Matplotlib Library 

Sharpen your career skills with our “Career Success” module in the bootcamp. Master job search prep, networking for interviews, and refine application materials. Enhance your interview game with technical and non-technical prep and practical mock interviews. Cap it off with a graduation milestone, marking your readiness for a successful career journey. Gain the edge for lasting professional success with Career Success.

Topics:

  • Career Success: Preparing for the Job Search
  • Building a network and using it to Land Interviews
  • Career Success: Resume, Cover Letter, LinkedIn Review
  • Career Success: Interview Prep (Technical and Non-Technical)
  • Mock Interviews
  • Graduation

Data Analytics & Engineering Bootcamp Tuition Fee

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Pay In Full: Save $3950!

$12,445 $8,495

> Paid at time of enrollment: $8,495
> Total cost: $8,495







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Pay In Installments: Save $2950!

$12,445 $9,495

> Paid at time of enrollment: $1,495
> Paid after Week 1: $1,500
> Paid after Week 4: $1,500
> Paid after Week 8: $1,500
> Paid after Week 12: $1,500
> Paid after Week 15: $1,000
> Paid after Week 18: $1,000
> Total cost: $9,495
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Finance Your Tution

$12,445 $11,995

> Paid at time of enrollment: $1,995
> Financed amount: $10,000
> Pay about $300 - $900 per month in 12 to 42 months
> Total cost: $11,995


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.

What our students say about their CCS Learning Academy experience

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.

This bootcamp program was a really great opportunity for me to grow and improve my skills. I learn a lot in SQL, learned new tools I never used before like Azure, Power BI, and SSAS in a good environment with people who share the same interest. I think this bootcamp program is a great opportunity for people who want to have real knowledge. It’s a great door to the world market.
Bill-headshot
Bill Ramirez
Quality Assurance Data Engineer
Thanks to the Bootcamp program I have learned a lot of new programming skills and how to work with different tools in many business subjects. The environment with other coworkers has been great so far, facing every problem that comes up as a team. It is indeed a tremendous opportunity that will significantly contribute to your personal development and foster professional growth.
Dinier-headshot
Dinier Gamboa Gamboa
System Analyst
It's a wonderful opportunity to learn about business intelligence and how important it is to every business. The individuals here have been incredibly supportive, and the work environment is truly pleasant. The trainers exhibit exceptional proficiency and are consistently helpful. Overall, my experience has been not only fun but also truly excellent, providing valuable insights & skills.
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Jose Steven Rodriguez
Cloud Data Engineer
Hello, my name is Pablo Chinchilla Valverde and I’m part of Helm360 working as an external vendor for Microsoft as a Data Engineer. This company helped me to make a lot of progress into my work career and gaining a lot of experience on big data and cloud computing. I would say that you can find in this company support, unity, creativity, knowledge, enthusiasm, respect, and success.
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Pablo Chinchilla
Data Engineer
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Fast forward your career in Data Analytics & Engineering

Data Analytics & Engineering Bootcamp FAQs

Data 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:
  1. Strong programming skills in languages like Python, Java, Scala, and SQL.
  2. You must have an understanding of database systems, big technologies like Hadoop, Spark, and Kafka.
  3. 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.

Schedule Your Consultation

Contact our Learning Experts if you have questions or are unsure whether this online Data Analytics & Engineering bootcamp is right for you