Requirements
A Computer with Internet access is required.
Description
A common problem that organizations face is how to gather data from multiple sources, in multiple formats, and move it to one or more data stores. The destination may not be the same type of data store as the source, and often the format is different, or the data needs to be shaped or cleaned before loading it into its final destination.
Extract, transform, and load (ETL) is a data pipeline used to collect data from various sources, transform the data according to business rules, and load it into a destination data store.
SQL Server Integration Services (SSIS) is a useful and powerful Business Intelligence Tool. It is best suited to work with SQL Server Database. It is added to SQL Server Database when you install SQL Server Data Tools (SSDT)which adds the Business Intelligence Templates to Visual Studio that is used to create Integration projects.
SSIS can be used for:
Data Integration
Data Transformation
Providing solutions to complex business problems
Updating data warehouses
Cleaning data
Mining data
Managing SQL Server objects and data
Extracting data from a variety of sources
Loading data into one or several destinations
Power BI is a business analytics solution that lets you visualize your data and share insights across your organization, or embed them in your app or website. Connect to hundreds of data sources and bring your data to life with live dashboards and reports.
Discover how to quickly glean insights from your data using Power BI. This formidable set of business analytics tools—which includes the Power BI service, Power BI Desktop, and Power BI Mobile—can help you more effectively create and share impactful visualizations with others in your organization.
In this beginners course, you will learn how to get started with this powerful toolset. We will cover topics like connecting to and transforming web-based data sources. You will learn how to publish and share your reports and visuals on the Power BI service.
Data science is the study of data. It involves developing methods of recording, storing, and analyzing data to effectively extract useful information
Data is a fundamental part of our everyday work, whether it be in the form of valuable insights about our customers, or information to guide product, policy, or systems development. Big business, social media, finance, and the public sector all rely on data scientists to analyze their data and draw out business-boosting insights.
Python is a dynamic modern object-oriented programming language that is easy to learn and can be used to do a lot of things both big and small. Python is what is referred to as a high-level language. That means it is a language that is closer to humans than computers. It is also known as a general-purpose programming language due to its flexibility. Python is used a lot in data science.
This course is a beginner's course that will introduce you to some basics of data science using Python.
What You Will Learn
How to set up an environment to explore using Jupyter Notebook
How to import Python Libraries into your environment
How to work with Tabular data
How to explore a Pandas DataFrame
How to explore a Pandas Series
How to Manipulate a Pandas DataFrame
How to clean data
How to visualize data
Who this course is for:
Beginners to Data Science
Beginners to Data Engineering
Beginner Data Analyst
Beginner Data Engineer
