A BOOTCAMP IN DATA ANALYTICS

With the rapid proliferation of big data, many companies are looking for data science professionals who can identify business insights from data, communicate through succinct visualizations and drive data-driven decision making. This bootcamp can help students begin to prepare for a variety of roles in Data Analysis or Data Science, including exciting areas of like AI and ML as Data Scientists or Data Engineers.

The Data Analytics bootcamp is delivered in collaboration with StackRoute Learning.

Data is the New Oil

Consumer behavior on social media and automated digital processes across business sectors are generating vast quantities of data 24/7. Powerful insights generated from this Big Data are a source of competitive advantage to the organizations who are able to invest in and use Data Science tools and technologies effectively. It is not surprising then to see that Data Science, Al, and ML skills are amongst the hottest disruptive skills in 2024 and beyond.

With the rapid proliferation of big data, companies are looking for data science professionals who are capable of uncovering business insights through data analysis and communicating those insights through succinct visualizations that help their companies make data-driven decisions.

Duration: 15-34 Weeks (Three Paths Available)

Course Fee: As low as $8,500 USD

Most learners qualify for discounts or scholarships. Ask about options available to you!

Market Trends

  • With the proliferation of the Internet of Things, the amount of data we generate continues to rise exponentially.
  • Data will continue to almost double in size every two years if current trends continue.
  • Consequently, jobs in big data and advanced analytics are in high demand.

Job Demand

37%Year on Year growth for Data Scientists.

Source: LinkedIn Emerging Jobs Report

33%Year on Year growth for Data Engineers.

Source: LinkedIn Emerging Jobs Report

74%Year on Year growth for Specialist AI Engineers.

Source: LinkedIn Emerging Jobs Report

overview
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Program Paths and Outcomes

Foundational Bootcamp Path — 15 Weeks, $13,000 (As Low as $8,500 After Scholarships)

This foundational Data Analytics bootcamp equips you with essential skills for analyzing and managing data. The program starts by covering IT fundamentals and cloud concepts, including Azure compute, networking, and storage. You will then dive into data analysis with Excel, learning foundational skills in data organization, statistics, pivot tables, and chart creation. The bootcamp progresses to SQL, where you will develop a strong understanding of database fundamentals, basic queries, and advanced query techniques. Certification prep for Microsoft Certified Azure Fundamentals (AZ-900) is included, positioning you for entry-level roles in data analytics.

Intermediate Bootcamp Path — 26 Weeks, $14,500 (As Low as $9,500 After Scholarships)

This intermediate-level Data Analytics bootcamp deepens your analytical skills using advanced tools like Python and Tableau. Building on foundational IT and cloud concepts, the program starts with Excel and SQL for data organization and querying. You will then progress to Python, learning data structures, statistical analysis, and data visualization with Pandas, Matplotlib, and Seaborn. Advanced topics include hypothesis testing, ANOVA, and t-tests. The bootcamp concludes with Tableau, focusing on building interactive dashboards, calculations, and predictive modeling. Certification prep for the Certified Tableau Data Analyst exam is included, positioning you for mid-level data analytics roles.

Advanced Bootcamp Path — 34 Weeks, $18,500 (As Low as $12,500 After Scholarships)

This advanced-level Data Analytics bootcamp prepares you for expert roles by combining data analysis, AI, and machine learning in Azure. Beginning with foundational IT, cloud concepts, and data analysis using Excel, SQL, and Python, you will master statistical analysis and visualization tools like Pandas, Matplotlib, and Tableau. The program then dives into Azure AI services, exploring generative AI, NLP, and responsible AI, with hands-on training in Azure Machine Learning for model development and deployment. Certification prep for both Azure AI Fundamentals (AI-900) and Azure Data Scientist Associate (DP-100) ensures you are are equipped for advanced analytics and AI roles.

Student Guidelines

  • Students must possess the curiosity and a determination to persist with demanding hands-on exercises and assignments.
  • In addition, students need to fulfill the below requirements:
    • Maintain good academic standing by completing coursework, attending class and submitting all assigned project work
    • Demonstrate professionalism and respect within the shared classroom settings at all times

Delivery Guidelines

  • To design and deliver courses, we have teamed up with StackRoute Learning, a top bootcamp provider and subsidiary of NIIT, one of the world's leading professional development organizations
  • Sessions will be conducted between 6:00PM – 9:00PM EST ON MONDAYS, WEDNESDAYS & THURSDAYS
  • Live online lectures on context-setting and concept building concepts
  • 60% of the program is hands-on i.e. in each program, a student would spend over 60% of time on coding or hands-on activities

Who Should Attend?

Students who are interested in taking up a data analyst role or those looking for a career shift into big data analytics can take up this program. No prior programming or analytics experience is required to do this program - just curiosity and a determination to persist with the demanding hands-on exercises and assignments. Some other basic requirements are:

  • High School Diploma from an accredited institution
  • Spoken and written English skills
  • Appropriately configured PC with webcam and headset
  • Uninterrupted internet connection
  • Uninterrupted time to complete the learning activities on schedule

Your Program Outcomes

This program delivers job-ready Data Science practitioners who can easily take up an entry-level role as a Data Analyst. Additionally, it sets you up for a future progression into the exciting new areas of Al and ML as Data Scientists or Data Engineers.

Our program gradually transforms students with no data analytics background into confident data analysts who can contribute effectively to data lifecycle activities such as data sourcing, data munging, wrangling and storage, data modeling and statistical analysis, data visualization, and data-based storytelling.

Upon successful completion of all the assignments and projects, each student will be able to:

  • Analyze discrete data and structured data using Excel
  • Apply descriptive and inferential statistical tools and techniques
  • Summarize and represent data visually using graphs, charts, and pivot tables
  • Create data dashboards using Excel
  • Develop interactive dashboards in Tableau
  • Integrate data sources using APIs and automation tools
  • Understand cloud architecture and data governance best practices
  • Programmatically connect with RDBMS to retrieve, manipulate, and analyze data
  • Use Pandas, NumPy for statistical analysis on large datasets
  • Complete a capstone project demonstrating your technical and business insight

Program Coverage – Competencies - Knowledge and Skills

The curriculum is designed to help you build both breadth and depth. You’ll become comfortable with cloud platforms and data analytics workflows, while learning how to transform data into actionable insights.

Key competencies include: • Core analytics tools: Excel, SQL, Python, Tableau • Cloud fundamentals: AWS, Azure, APIs, data integration • Data storytelling, dashboards, and BI presentation • Data engineering concepts and pipeline development • Real-world data modeling and capstone presentation

With expert mentors and live instructor sessions, you’ll develop hands-on skills and graduate ready to contribute to cloud-based data teams.

Participation in this program goes beyond attending live sessions—it demands a commitment to completing rigorous practical assignments and collaborative projects. Each assignment is reviewed and refined through instructor feedback to ensure mastery of the concepts. With expert mentors and live instructor sessions, you’ll develop hands-on skills and graduate ready to contribute to cloud-based data teams.

Programs FAQs

Question 1:How is my academic progress measured and monitored?

Answers:

Your academic progress is governed by the provisions contained in the Student academic progress policy (SAP) in vogue at the time of enrollment detailed in the latest student manual available here Student Manual. The SAP policy details the academic commitment expected of a you on a weekly basis in terms of assignments to be submitted for review and feedback

Question 2:What is the tuition or cost for the program?

Answers: We offer varying bootcamp paths ranging in price from $13,000-$18,500, however we offer a variety of discounts, scholarships and financing options that can reduce tuition for the program for as little as $8,500. We highly recommend learners apply for scholarships and have made the application process extremely simple. Your dedicated program consultant can walk you through the process of securing scholarship funding.

Question 3:Are there any scholarships available?

Answers:

Yes! Our scholarship application requires only a few simple steps and may qualify you for a tuition reduction of up to 35% off standard pricing. Your program consultant can assist you throughout the application process and scholarship decisions are typically awarded within 2-3 business days.

Students who opt to forego scholarships can still receive a $1000 tuition discount if they elect to pay their tuition in advance of starting the program rather than financing their bootcamp. are eligible to receive a discount on the published tuition.

Question 4:What do I get at the completion of the program

Answers: You will receive a Certificate of Completion from the university, recognizing your successful demonstration of skills and experience in line with professionals in your field of study.

Question 5:When are the bootcamps currently scheduled to start?

Answers: Cohorts in each of the various virtual program tracks (Cybersecurity, Data Analytics, Cloud Systems Administration, AI, Software Development and Cloud Hybrid bootcamps) typically start every other month. Please check the program homepage for our next upcoming start date.

Question 6:Can I keep working while studying in the program?

Answers: Yes, our virtual programs are designed specifically to address the challenges of individuals who are employed but actively pursuing a career change or advancement in their existing field. The part-time schedule allows you to continue working or pursue other interests, while advancing your skills through your active participation in the program

Question 7:How long does the program take to complete?

Answers: Students are expected to complete the program in 16 – 38 weeks depending on the program path.

Question 8:Do you provide career planning support?

Answers: Yes, we offer career support and coaching throughout the duration of your program. You will have an opportunity to develop a working relationship with a career advisor to discuss resume building, job sourcing, interview techniques and salary negotiations. Additionally, you may qualify for virtual internship placement, depending on your choice of program path.

Question 9:How are you different from other programs I can join or other locations?

Answers: What makes our bootcamp different is our extensive relationships with leading global companies that hire information technology professionals. Our decades long relationships with global companies provides us with insight and understanding of the specific skills that many employers are demanding as part of their digital transformation efforts. Working with companies, we built our programs to embed these mission critical skills and abilities into our programs so that students who successfully complete the program can be prepared for many entry level jobs in today’s technology-focused workforce. Additionally, our bootcamps are specifically built around industry certifications, chosen specifically for their value in helping students find high-paying, high-growth tech jobs.

Question 10:What criteria do you look for in potential students applying to the program?

Answers: We believe the main criteria for success in our bootcamp is your effort and determination to succeed, as well as time. You will need to be prepared to dedicate the necessary time to the program in order to be successful (typically between 10-12 hours per week)

Question 11:Do I need to possess an undergraduate degree to be eligible for the program?

Answers: No. You are required to possess a High School Diploma from an accredited institution or a GED, as well as being proficient in spoken and written English.

Question 12:How much time should I expect to dedicate to this program?

Answers:

Our program requires you to participate in

  • Six (6) hours of scheduled/live in-class lecture and guided lab sessions per week.
  • Three (3) hours optional scheduled/live office hours for individual support.
  • Additionally, three (3) to five (5) hours of time out of class is expected to be necessary to complete assignments and prepare for course assessments.

For a total expected time commitment of 12-15 hours per week.

Question 13:Do I need to have previous experience in information technology before enrolling in one of the virtual programs?

Answers: No specific experience is needed as long as you are determined and eager to learn.

Question 14:Will I need to purchase books?

Answers: All materials and access to virtual labs and other learning environment will be provided to you and are included in the tuition/cost of the bootcamp.

Question 15:Who are the faculty for the programs?

Answers: StackRoute faculty (Lead Mentors/Instructors) are working professionals who are subject matter experts in their field. They are encouraged to bring real-world experience and situations into our classrooms to expose our students to projects and challenges that replicate the experiences you may have as a working professional in the information technology sector.

Question 16:Are the courses available online or in person?

Answers: Courses are available 100% virtually with live online sessions.

Question 17:I’m an employer. How can I hire one of your students or become a hiring partner?

Answers:

You can contact one of our Career Services professionals at studentsupport@stackroute.com

Question 18:Do I need my own computer?

Answers:

You will need an appropriately configured PC with webcam, headset, and uninterrupted internet connection. Required specifications for your PC are as follows:

  • To attend the program, students are expected to use their own computer and have an uninterrupted broadband internet connection.
  • Hardware Requirements:
    • Laptop/Desktop with Intel i5 (or later) with minimum 8 GB RAM (recommend 16 GB RAM).
    • Minimum of 50+ GB Free HDD Space.
    • Windows 10 (Patched with Latest Security Updates)
    • HD Webcam.
    • Audio enabled preferably with headset.
  • Software Requirements:
    • Google Chrome Browser.
    • To join the virtual live sessions, students will need to download, and setup zoom client on their computer (one time setup) as required.
    • For offline work, students will need to install zoom and join zoom channel with their registered email.
    • From time to time, students may be required to install a few software updates during different parts of the program. Faculty will share the details during the respective stages of the program. The software needs may vary from program to program. These are mostly either open sources or evaluation version.
    • For some of the programs, MS Office tools would be required. For example, Data Analytics program will require students to have MS Excel.

Question 19:Can I use Mac Book for the program?

Answers: We recommend the use of Windows Machine for better experience throughout the program. Should you use the Mac Book, we may not be able to provide the technical support.

Question 20:Can I use a Chrome Book or Tablet for my bootcamp?

Answers: Unfortunately, Chrome Book PCs and most personal tablet devices do not provide the necessary technical capabilities to effectively complete live sessions and many asynchronous assignments. If you have additional questions about your specific device's compatibility with our bootcamp requirements, please refer to Question 18 above or ask your Program Consultant who will be happy to assist!

Question 21:Do I need to purchase any application / software before starting the program?

Answers: If you have enrolled in the Data Analytics program, you must have a working copy of Microsoft Excel installed. You do not need to purchase any application for the other tracks.

Question 22:Can I use the free Excel version from Office 365?

Answers: Although Excel is offered free of charge from Office 365, the tool is different in some regards from the Desktop version. You may not be able to perform tasks as demonstrated by the instructor in the Online version. You will additionally have a lot of difficulty downloading and uploading data files to and from both the learning portal and Office 365. For this reason, we recommend using the Downloadable version of Excel program. Additionally, you may not find any support if you decide to use the Office 365 version.