Data Analytics and Engineering Bootcamp

Earn your Data Analytics & Engineering certificate in 12 weeks.

Best Data Analytics & Engineering Bootcamp

Online Training

Flexible Timings

Pocket friendly

Boost for your Career

Career Counselling

Mentorship

Professional Networking

Jobs Secured

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Free Demo Class

* 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

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)

November 06, 2023
December 04, 2023
January 08, 2024

Weekdays (evening schedule)

November 13, 2023
December 11, 2023
January 22, 2024

Weekends (full-day schedule)

November 18, 2023
December 9, 2023
January 13, 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.

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

Data Analytics and Engineering is the study of data to extract meaningful information, insights and interpretations for businesses. It is a multidisciplinary approach that cumulates practices and principles from the areas of statistics, mathematics, computer engineering, artificial intelligence and data management to analyze huge volumes of data. This analysis assists Data Analysts to ask what, how, where, why and when it happened and what will happen, in reference to the data and what can be done with the results.

A comprehensive and industry approved certification program

Data Analytics combines tools, procedures and methodologies with technology to get useful meaning from data. Organizations are overloaded with data, as there are many devices and software that can automatically store and collect information. Online systems, software, payment portals, E-commerce websites etc. collect a lot of data in the areas of medicine, FMCG, retail, finance, E-commerce and every other facet of human life.

Become a Data analytics and engineering professional

Data Analytics is the Future. Artificial Intelligence and machine learning innovations have made data processing quicker and increasingly efficient. Industry requirements have made an ecosystem of degrees, programs, courses and job positions within the sphere of Data Analytics. As the requirement, availability, dependence and volume of data is expanding rapidly across domains, Data Analytics Careers show a projected growth in the coming years.

Boost your portfolio by working on practical business cases

Data Analytics is used to analyse data in the following ways: descriptive analysis, diagnostic analysis, predictive analysis and prescriptive analysis. Data Analytics is transforming and revolutionizing the way organizations function and operate. Most companies need a well designed and formulated Data Analytics Strategy to increase growth and maintain competitive edge in the marketplace. Train with Industry Veterans on practical business cases to enhance your skillset and portfolio.

A Job Guaranteed Training Program

Master Data Analytics and Engineering and get placed with top companies. Access and qualify for lucrative opportunities with CCS Learning Academy’s Data Analytics and Engineering Bootcamp.

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?

Who Should Attend Data Analytics & Engineering Bootcamp

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

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 Curriculum

Database Design and Modeling

This module focuses on various aspects of database designing concepts right from entities, keys, constraints, etc. 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.

Database Programming and Administration

This module exposes the candidates to the very details of TSQL programming along with working on database objects such as tables, views, stored procedures, user defined functions, triggers, and 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.

Data Warehouse (OLAP) Design Techniques

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.

Data Integration – ETL and ELT

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

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.

SQL Server Analysis Services (SSAS)

In this module candidates will learn purpose and application of creating multi-dimensional cube and tabular models for further data analysis. Furthermore, this module also focuses on writing MDX and DAX queries for analytical purposes.

SQL Server Reporting Services (SSRS)

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.

Power BI

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

Data Visualization using Tableau

This module offers different ways of developing business interactive dashboards utilizing Tableau Desktop. Candidates will be exposed to various features of Tableau related to data preparation, data blending, calculations utilizing LOD expressions, and publishing to enterprise portal.

Tuition

Option 1: Pay in Full

$12,475 $9,995

Pay in full to save $2,480!

Paid at the time of enrollment: $$9,995
Total cost: $$9,995

Option 2: Pay in Installments

$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

Option 3: Finance Your Tuition

$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

What is Data Analytics & Engineering Bootcamp?

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.

Why is it important to learn Data Analytics & Engineering?

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.

Is Data Analytics and Engineering a good career option?

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.

What is the eligibility criteria of this Data Engineering Bootcamp?

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.)

What are the skills required to become a data engineer?

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.

Is there a demand for Data Engineers?

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.

How can I get a high salary as a Data Engineer?

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.

What job options do I have after completing the Data Analytics & Engineering Bootcamp?

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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Data Analytics and Engineering Bootcamp