Today’s businesses have tremendous amounts of data due to the abundance of devices, cloud-based systems, and payment portals. Data science is the study of this data to extract meaningful insights and answer questions. What happened? Why? What will happen? What can be done with the results?
All businesses, regardless of size, need a data science strategy to keep a competitive edge.
A data scientist works with stakeholders to understand the needs of a business. Once the problem has been defined, the data scientist may solve it using the OSEMN data science process:
1 days
$425.00
Microsoft Power BI software is designed for data analysis and the creation of visualizations. Data analysts prepare data, perform initial analysis, and create visualizations that are then passed to business . . .Learn More
3 days
$1,295.00
This intensive course will start with a quick overview of the SQL Server architecture, then dive right into using T-SQL. You will learn about batches and scripts, how to declare and use variables—including . . .Learn More
3 days
$1,295.00
Welcome to Microsoft Power BI Fundamentals! This course will show you how to link and model data in Power BI and create visual reports that reveal data insights. By the end of this course, you will . . .Learn More
2 days
$750.00
This course is designed to deepen your understanding and skills in data analysis, offering comprehensive coverage on advanced data querying, data modeling, DAX (Data Analysis Expressions), and reporting . . .Learn More
2 days
$750.00
Tableau Prep Builder provides a modern approach to data preparation, making it easier and faster to combine, shape, and clean data for analysis within Tableau. By providing a visual and direct path to . . .Learn More
2 days
$750.00
This interactive course teaches you the skills necessary to produce professional visualizations in Tableau. You learn how to connect to data, use the Tableau interface, create basic calculations, . . .Learn More
2 days
$750.00
This interactive course teaches you how to create extracts, create joins, unions, and blends to modify data connections, filter across data sources and analyze subsets of data using context filters and . . .Learn More
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