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 industry demands. You will gain practical, hands-on training that blends foundational knowledge with real-world applications. Throughout this data analysis certification program, you will learn essential data analysis and visualization skills using tools like Excel and Power BI. You will also build proficiency in Python basics, SQL querying, and Microsoft Fabric, preparing you for entry-level roles such as Power BI analyst, data analyst, and other data-focused positions that work with a variety of data sources, including operational and log-based datasets.

Throughout the data analyst training, you will engage in projects that simulate real-world scenarios, equipping you with the skills needed to solve practical data challenges. You will have access to online labs to gain hands-on experience working with data analysis tools, technologies, and workflows, including both structured and semi-structured datasets. This practical exposure is essential for building confidence and technical proficiency. The final project will serve as tangible evidence of the knowledge and skills acquired during this Power BI certification boot camp, demonstrating your ability to apply them in real-world situations.

This data analyst certification boot camp also includes the material required to prepare for the Microsoft Certified: Power BI Data Analyst Associate certification exam (PL-300), along with dedicated time for exam preparation.

Instructor(s):

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.

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.