Data Analytics and Visualization Boot Camp

The Data Analytics and Visualization Boot Camp is an intensive training program designed to shape the future of data analysis professionals. Data analytics has become a vital component in helping businesses gain insights, develop strategies, and make informed decisions. The right training and certification will allow you to stand out to employers and advance in this in-demand and rewarding field.

This boot camp was developed in collaboration with industry experts to ensure you meet evolving...

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6 Months / 262 Course Hrs
Open Enrollment
Offered in partnership with your preferred school

Illinois Valley Community College

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Data Analytics and Visualization Boot Camp

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Course code: GES3087

What you will learn

  • Gain proficiency in the data analysis process, from data gathering to sharing insights, using tools such as Excel and Python for data cleaning, transformation, and analysis
  • Perform exploratory data analysis (EDA) and create visualizations to uncover trends, patterns, and relationships in both business and operational datasets
  • Develop interactive dashboards and reports using Excel and Power BI to support data-driven decision-making
  • Acquire essential Python skills and work with common data analysis libraries to process and analyze diverse data types, including log-based, structured, and semi-structured data commonly used in modern data environments
  • Learn SQL querying techniques for efficient data retrieval, transformation, and structured data organization
  • Understand how modern data platforms are used to ingest, manage, and analyze data in end-to-end workflows
  • Apply analytics storytelling techniques to communicate insights clearly to technical and non-technical stakeholders
  • Leverage Generative AI and AI-assisted tools to support analysis and improve productivity

How you will benefit

  • Discover ways to gather and collect data from various sources, including databases and log-based data systems
  • Clean and preprocess raw data to ensure accuracy, consistency, and suitability for analysis
  • Analyze datasets to uncover trends, patterns, and insights that support business and operational decision-making
  • Create interactive dashboards and visualizations to effectively communicate insights to stakeholders
  • Gain hands-on experience through real-world projects and career simulations using diverse datasets
  • Build practical experience working with modern data workflows and real-world data scenarios
  • Leverage your PL-300 certification to demonstrate hands-on experience in Power BI and data analytics
  • Position yourself for entry-level roles such as data analyst, Power BI analyst, and other data-focused roles across various industries

How the course is taught

  • Self-paced, online course
  • 6 Months to complete
  • Open enrollment, begin anytime
  • 262 course hours
  1. Introduction to Data Analytics
  2. Introduction to Cybersecurity
  3. Analyzing and Visualizing Data with Excel
  4. Data Analytics - Career Simulation 1
  5. Querying Data with SQL
  6. Analyzing and Visualizing Data with Power BI (PL-300)
  7. Data Analytics - Career Simulation 2
  8. Microsoft Fabric
  9. Introduction to SIEM Log Analysis
  10. Python Basics
  11. Data Analytics - Final Career Simulation
  12. Exam Preparation for Microsoft Power BI Data Analyst (PL-300)

Khurram Pirzada

Khurram is a Data Scientist and the Main Instructor for the Data Analytics and Visualization boot camp. He brings a wealth of experience and expertise to the classroom. With a background in computer science and a Ph.D. in the field, he is well-equipped to teach and guide students in data science and AI/ML.

His work experience includes serving as a Senior Data Scientist at WG Consultancy, where he worked with a European energy producer to leverage AI and Big Data to optimize complex systems and adapt to market dynamics. Additionally, his time at the Land Transportation Authority in Singapore allowed him to contribute to a government initiative to implement a unified transportation portal, where he played a key role in gathering and analyzing requirements and managing platform selection.

He also worked as a Data Scientist at Telefonica Deutschland GmbH & OGH, a telecom giant, where he developed mathematical models and optimization techniques to address network infrastructure competition and detect financial leakages and fraud. Throughout his career, he has honed his skills in SQL, Visual Studio, Power BI (DAX), predictive modeling, data and decision analytics, and math and statistics.

His educational background includes a Ph.D. in Computer Science from the University of South Africa, an MS in Computer Sciences from Universität des Saarlandes in Germany, and a BS in Computer Science from The National College in Pakistan. These qualifications and his professional accomplishments contribute to his ability to teach and guide students in data science and analytics effectively.

He is passionate about sharing his knowledge and helping students succeed in becoming proficient data scientists. He looks forward to engaging with students in the classroom, conducting webinars on career paths, and preparing engaging lessons and projects for the Data Science/AIML boot camp.

Prerequisites:

Students should possess a fundamental understanding of basic computer operations, such as file management (ability to create, rename, move, and delete files and folders), software installation (proficiency in installing and uninstalling software is essential, this includes understanding the process of downloading software, running installation wizards, and managing software updates), and system navigation (ability to navigate the operating system interface with ease)

To successfully complete the boot camp program, students are expected to dedicate a minimum of 10 hours per week. This time commitment includes activities such as reading course materials, reviewing video lectures, and conducting additional research as necessary.

Requirements:

Hardware Requirements:

  • This course can be taken on either a PC or Mac. Chromebooks are not compatible.

Software Requirements:

  • PC: Windows 10 or later.
  • Mac: macOS 12 or later.
  • Browser: The latest version of Google Chrome or Mozilla Firefox is preferred. Microsoft Edge and Safari are also compatible.
  • Microsoft Word Online
  • Adobe Acrobat Reader
  • Software must be installed and fully operational before the course begins.

Other:

  • Email capabilities and access to a personal email account.

Instructional Material Requirements:

The instructional materials required for this course are included in enrollment and will be available online.

According to data from LightCast, the median salary of a data analyst is $95,600 annually. Business intelligence data analysts earn $105,200 annually.

According to data from LightCast, the median salary of a data scientist is $141,200 annually.

AWS reports that data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data. This analysis helps data scientists to ask and answer questions like what happened, why it happened, what will happen, and what can be done with the results.

According to AWS, while the terms may be used interchangeably, data analytics is a subset of data science. Data science is an umbrella term for all aspects of data processing—from the collection to modeling to insights. On the other hand, data analytics is mainly concerned with statistics, mathematics, and statistical analysis. It focuses on only data analysis, while data science is related to the bigger picture around organizational data. For example, a data analyst makes sense out of existing data, whereas a data scientist creates new methods and tools to process data for use by analysts.

According to the U.S. Bureau of Labor Statistics, data scientists are expected to grow 35% (much faster than average) by 2035, with 24,800 annual job openings projected.

Yes, this boot camp will prepare you for the Microsoft PL-300 (Power BI Data Analyst).

This course is open enrollment, so you can register and start the course whenever you are ready. Access to your course can take 24-48 business hours.

After you register, you will receive 6 months to complete the course. The time allotted for completion has been calculated based on the number of course hours.

The time allotted for course completion has been calculated based on the number of course hours. However, if you are unable to complete the course, contact the student advising team to see what options you may have available to work out a suitable completion date. Please note that an extension fee may be charged.

As part of your course, you will have access to 10 30-minute online coaching sessions with your instructor. Additionally, the instructor will be available by email to answer any questions and provide feedback on your performance. Occasionally, your course may be supported by a team of industry experts. You will also receive support from the student advising team.

Upon successfully passing the final exam, you will be awarded a certificate of completion from the school or organization that you registered through.

ed2go courses will help you gain the skills you need to obtain an entry-level position in most cases. However, you should always research the job market in your area before enrolling.

ed2go courses are non-credit, so they do not qualify for federal aid, FAFSA, and Pell Grant. In some states, vocational rehab or workforce development boards may provide funding to take our courses. Additionally, you may qualify for financial assistance if you meet certain requirements. Learn more about financial assistance.

If you have questions that are not answered on our website, representatives are available via LIVE chat. You can also call us at 1-877-221-5151 during regular business hours to have your questions promptly answered. If you are visiting us during non-business hours, please send us a question using the "Contact Us."