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Data Overview and Manipulation – T-SQL, R, Python

In a real data mining or machine learning project, you spend more than half of the time on data preparation and data understanding. The R language is extremely powerful in this area. The Python language is a match. Of course, you do work with data by using T-SQL. You will learn in this session how to get data understanding with really quickly prepared basic graphs and descriptive statistics analysis. You can do advanced data preparation with many data manipulation methods available out of the box and in additional packages from R and Python. After this session, you will understand what tasks data preparation involves, and what tools you have in SQL Server suite for these tasks.

Dejan Sarka

Dejan Sarka s.p.

Dejan Sarka, MCT and SQL Server MVP, is an independent trainer and consultant that focuses on development of database and business intelligence applications. Besides projects, he spends about half of the time on training and mentoring. He is the founder of the Slovenian SQL Server and .NET Users Group. Dejan Sarka is the main author or co-author of sixteen books about databases and SQL Server. Dejan Sarka has also developed many courses and seminars for Microsoft, SolidQ, and Pluralsight.

Ostala predavanja

Data Science in Power BI Desktop

400 DAT

Komentiranje v NTK aplikaciji je mogoče za potrjene udeležence NT konference.

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