Training Programs Data Science Data Analytics and Visualization Boot Camp
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Data Analytics and Visualization Boot Camp

Obtain the perfect mix of real-world scenarios, tools, techniques, and examples, along with hands-on lab experience and an applicable course project. You will also prepare for the Microsoft Certified: Power BI Data Analyst Associate certification exam (PL-300) to help you stand out to employers and demonstrate your new skills and knowledge.

Data-Analytics-and-Visualization-Boot-Camp
$4,275.00 (USD)

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Overview

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Requirements

Prerequisites

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Instructor

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.

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800 University Way
Spartanburg, SC 29303 US
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