Data Analytics and Engineering Bootcamp
July 11, 2022 2023-11-16 21:59Data Analytics and Engineering Bootcamp
Earn your Data Analytics & Engineering certificate in 12 weeks.
Best Data Analytics & Engineering Bootcamp
* Student financing options are available!
** Transitioning military and Veterans, please contact us for a free training & hiring consultation.
Benefits of Data Analytics and Engineering
Become a Data Analytics and Engineering Expert with CCS Learning Academy’s excellent state-of-the-art Bootcamp and excel in your career. Master TSQL, Python, Tableau, Snowflake, TFS, Azure DevOps and more to build your skillset. Network with Industry Experts and receive reliable career advice and Mentorship.
- Identify unknown changing patterns: Data Analytics can reveal low-cost changes to resource management for increased profitability.
- Innovate new products and solutions: Data Analytics can reveal gaps and problems that might be ignored otherwise. Greater insight about purchase decisions, customer feedback and business processes can drive innovation in internal operations of the company and external solutions.
- Real-time optimization: Data Analytics can assist companies to predict change and react optimally to different situations.
Bootcamp Highlights
- 12 weeks of instructor led session
- Free access to all e-learning courses in any topic area for 12 months
- Immersive learning with flexible timings
- Pay in installment options available
- Job placement assistance to graduates for 12 months immediately following bootcamp completion
Technologies You Will Master





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)
January 08, 2024
February 05, 2024
Weekdays (evening schedule)
January 22, 2023
February 12, 2024
Weekends (full-day schedule)
January 13, 2023
February 10, 2024
CCS Learning Academy Bonuses

Tuition Reimbursement

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.

Paid Internship
Pay without financing and become eligible for a 1-month internship with our parent company, CCS Global Tech!

Mentoring 1-1
Individual learning and guidance sessions with an industry expert to take your skills to the next level.
- Before the bootcamp
- During the bootcamp
- After the bootcamp
Ask Questions
Please contact our Learning Experts if you have questions or are unsure whether this online Data Analytics and 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 Jobs
You're ready to apply for positions like Data Scientist, Data Engineer, Machine Learning Engineer, Data Architect, and more!

Grow your Data Analytics & Engineering Career
A comprehensive and industry approved certification program
Become a Data analytics and engineering professional
Boost your portfolio by working on practical business cases
A Job Guaranteed Training Program
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

What kinds of roles do Data Analytics & Engineering Bootcamp graduates land?
- Data Analyst
- Data Engineer
- Database Administrator
- Machine Learning Engineer
- Data Scientist
- Data Architect
- Statistician
- Business Analyst
- Data Scientist
- Data Manager
Who Should Attend Data Analytics & Engineering Bootcamp
- IT and software professionals in ETL domain
- IT professionals in database domain
- Recent Graduates from fields such as computer science, engineering, mathematics, or related disciplines, career changers considering a career change into data analytics or engineering.
- Aspiring Data Analysts interested in data analysis and visualization
- Business Professionals from marketing, finance, and operations domains
What you will Learn
- Data Modeling: Learn various aspects of database designing concepts right from entities, keys, constraints, etc.
- T-SQL: Learn TSQL programming along with working on database objects such as tables, views, stored procedures, user defined functions, triggers, and indexes.
- SSAS: Learn to purpose and apply multi-dimensional cubes and tabular models for further data analysis.
- Power BI: Learn data visualizations, data cleansing, DAX for calculations, different ways of publishing, embedding, maintaining reports & dashboards.
- SSRS: Learn to create visual reports for business decisions, reporting construction, publishing, maintaining reports on Report Server.
- Microsoft Azure: Learn to connect to different data sources, perform various data operations and load data into dimensional structure.
- Tableau: Learn data preparation, data blending, calculations utilizing LOD expressions, and publishing to enterprise portal.
- Python: Get an overview of Python basics, data structures in Python, various programming constructs and commonly used libraries.
- Snowflake: Learn provisioning a Virtual Data warehouse, migrating data to Snowflake warehouse using SnowSQL & Snowpipe, querying Snowflake warehouses and more.
Program At A Glance
- Courses
- T-SQL
- Python
- Tableau
- Snowflake
- TFS
- Azure DevOps
- and more...
- 12 weeks
- Prerequisites
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.)
- More Info
- 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 Curriculum
SQL Server Integration Services
This 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 etc.Azure
This 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 etc.Snowflake
This focuses on the key concepts and architecture of Snowflake. Candidates will learn how to provision a Virtual Data warehouse, migrating data to Snowflake warehouse using SnowSQL & Snowpipe, querying Snowflake warehouses, time-travel, Zero-copy cloning, etc.Python
This offers overview of Python basics, data structures in Python, various programming constructs and commonly used libraries. This will also include various methods of extracting data, cleansing, and basic data visualizations per business requirements.Tuition
$12,475 $9,995
Pay in full to save $2,480!
- Paid at the time of enrollment: $$9,995
- Total cost: $$9,995
$12,445 $10,995
Pay in installments to save $1,450!
- Paid at the time of enrollment: $1,995
- Paid after Week 1: $3,000
- Paid after Week 4: $3,000
- Paid after Week 8: $3,000
- Total cost: $10,995
$12,445 $11,995
- Paid at the time of enrollment: $1,995
- Financed amount: $10,000
- Total cost: $11,995
- Learn more about our student 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.
FAQs
- 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.)
- 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.
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.
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