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 experts nationwide. Data analytics has become a vital competent to help businesses gain insights, develop strategies, and inform other essential business decisions. The right data analytics training and certification will allow you to stand out to employers and further your career in this in-demand and lucrative role.

This boot camp was developed in collaboration with industry experts to ensure you meet and exceed industry demands and challenges. You will gain immersive data science training that perfectly blends theoretical knowledge and practical exercises. Through your boot camp participation will come to understand essential topics such as data analysis and visualization using tools like Excel and Power BI. You will also achieve proficiency in Python basics, SQL querying, and Microsoft Fabrics, preparing you for entry-level jobs such as Power BI Analysts and Data Analysts, as well as other data analytics roles.

Throughout this data science, data analytics, and data visualization training boot camp, you will engage in various projects that simulate real-world challenges and scenarios, equipping you with the necessary skills to tackle similar situations you may encounter in your future career. You will have access to online labs to gain practical experience navigating data analysis tools, technologies, and scenarios, which is crucial for building confidence and proficiency. The final project will serve as tangible evidence of the knowledge and competencies acquired during the boot camp, demonstrating practical application to prospective employers.

This boot camp also includes the material required to prepare for the Microsoft Certified: Power BI Data Analyst Associate certification exam (exam code: PL-300), and you will have two weeks of dedicated study time.

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.