For any organization that implements a Scaled Agile Framework (SAFe), the persona of a Scrum Master is extremely crucial. The SASM or SAFe Advanced Scrum Master training certification prepares the Scrum Master to take the next clear step in bringing organizational success by enhancing the overall performance of the Scrum Team and thereby solving any presence of anti-patterns.
This course teaches SQL syntaxes shared by many types of RDBMS. This course covers everything that a data scientist needs to know to begin working with databases today! Python - Open source, highly flexible, large number of libraries and easy-to-learn. Python for Data Science course prepares you with Python Programming capabilities for Data Manipulation, Exploratory Data Analysis and Data Visualization which are an absolute must for being a Data Science expert.
Watch Introduction Video
Describing Purpose and Strategy
Understanding Customers and Users
Working with the Product Backlog
SQL has become a very important tool for the data scientists since it is helps in fetching, updating, inserting, manipulating and modifying data from data sources like RDBMS or datawarehouses. Without having knowledge in SQL a data scientist has to rely on others to get the data for them. Python is the most common coding language typically required in data science roles. Because of its versatility, a data scientist can use Python for almost all the steps involved in data science processes. It can take various formats of data and easily import SQL tables into the Python code. Python comes with various Statistical, Machine Learning & Deep Learning libraries that can help a data scientist perform almost all tasks he/she needs.
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Using MySQL
Using Jupyter Notebooks in Anaconda
Creating user defined functions
Manipulate & Analyze data
Visualize data Using Python libraries like matplotlib and seaborn
Using MySQL
Using Jupyter Notebooks in Anaconda
Creating user defined functions
Manipulate & Analyze data
Visualize data Using Python libraries like matplotlib and seaborn
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Fundamentals of SQL syntaxes to perform DDL, DML Indexes, sorting & complex joins with inner join, left join, right join
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Fundamentals of SQL syntaxes to perform DDL, DML Indexes, sorting & complex joins with inner join, left join, right join
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