Data Analytics & Data Engineering
on November 27, 2023
The mode of instruction for all presentations and laboratory sessions is conducted exclusively in the English language.
Having strong analytical skills means being able to approach problems logically and systematically, breaking them down into smaller parts to understand them better.
People who possess these skills are highly valued by employers, as they are better able to work in teams, build relationships, and contribute to a positive and productive work environment.
A prerequisite for attending our course is the completion of a high school diploma or equivalent.
The course schedule comprises of a total of 20 hours per week, with classes running for 4 hours each day from Friday, Saturday and Sunday 11:00 AM - 3:00 PM ET.
Data Analytics with Power BI
Data analytics with Power BI involves transforming raw data into meaningful insights through the process of data modeling, visual analytics, and report creation. Power BI is a business analytics service by Microsoft that provides tools for aggregating, analyzing, visualizing, and sharing data.
Programming with Python is an expansive topic, given that Python is a versatile, high-level, interpreted programming language known for its easy-to-read syntax and broad applicability in areas such as web development, data science, automation, and artificial intelligence
SQL, or Structured Query Language, is a standard programming language specifically designed for managing and manipulating relational databases. CRUD operations in SQL stand for Create, Read, Update, and Delete, which correspond to the basic operations you can perform on the data in databases.
Data Analytics with Python
Pandas is a powerful and widely-used Python library that provides data structures and data analysis tools. It's particularly well-suited for working with structured data, such as tables of data, time series, and matrices.
I hold the role of Data Scientist where I dedicate my specialized skills to the realm of data analysis and machine learning. My proficiency in Python, particularly with the Pandas library, along with my adeptness in Power BI and a suite of other analytical tools, empowers me to extract meaningful insights and contribute to the advancement of data-driven initiatives. My role involves a deep engagement with complex datasets, enabling me to deploy sophisticated models and deliver comprehensive solutions that drive the strategic objectives of AI Sciences.
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