Data Science is a collaborative effort of talented individuals applying diverse skills and expertise in the areas of data engineering, mathematics, and analysis to solve the worlds most difficult problems for the benefit of all.
DurationData Science is a collaborative effort of talented individuals applying diverse skills and expertise in the areas of data engineering, mathematics, and analysis to solve the worlds most difficult problems for the benefit of all. This course is best suited for IT Professionals and also IT Managers who would like to learn data science fundamentals using Python and R.
The Data Science program will provide hands-on experience to help obtain fundamental data science techniques using Python and R. The course covers Data Management, Data Analysis, and Data Visualization utilizing data science techniques with a focus on the completion of a real-world Use Case as part of a collaborative team.
Approach:
A Collaborative Team that fosters cross-training and uses the following “assigned member roles”:
Sylearn is a premier Information Technology training organization created to meet training requirements for Federal and State Government Entities, Public and Private enterprises, and general population of the DC Metro area.
This three-day instructor-led course provides students with the knowledge and skills analyze data with Power BI.
This class is a comprehensive introduction to data science with Python programming language. This class targets people who have some basic knowledge of programming and want to take it to the next level.
This class is an intensive introduction to R. It starts with the very basics of assigning variables and reading data. It then progresses to using RMarkdown for document and presentation creation.
Learn to manage Power BI assets, including reports, dashboards, workspaces, security, performance tuning, and advanced analytics. This class covers topics for DA-100 Microsoft Certified Data Analyst Associate exam.
The technology boom of the last 20 years has generated more information than organizations know what to do with, and they need people to analyze the data and put it to use to make solid business decisions.
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