| Course Name |
Hours |
List Price |
Content |
| Data Stewardship and Quality |
16.00 |
$2,000.00 |
|
Description: This course focuses on data engineering, data quality assessment, and data stewardship, providing participants with an in-depth understanding of how to manage and maintain high-quality data in their organization. Participants will learn how to design and implement data engineering pipelines to ingest, transform, and load data from various sources, as well as how to assess and improve data quality using a range of methods and techniques.
The course covers data stewardship and governance, including establishing data governance policies and procedures, defining roles and responsibilities for data stewardship, and integrating data quality and stewardship into business processes and data management systems. Participants will also learn how to measure the success of data quality and stewardship initiatives, and how to manage change and overcome resistance to change in these initiatives.
Upon completion of the course, participants will have a solid understanding of data engineering, data quality assessment and improvement, and data stewardship and governance, and will be able to design and implement effective data engineering pipelines and manage high-quality data in their organization.
(This is the 3rd course of the Analytics Bootcamp)
# of Days:
Setting:
|
| AI Foundations |
12.00 |
$2,000.00 |
|
Description: This course will provide participants with a foundational understanding of artificial intelligence (AI) and its capabilities. Participants will learn how to identify valuable use cases for AI within their organization, familiarize themselves with common AI models and key terminology, and select appropriate models for their use cases. The course will also cover the AI development and production process, including considering putting models into production and monitoring their performance.
Participants will start with an overview of AI and its history, followed by an introduction to machine learning and deep learning. Throughout the course, real-world examples of AI applications will be presented, and participants will have the opportunity to practice applying their knowledge to a variety of use cases.
Upon completion of the course, participants will have a solid understanding of how AI works, how it can be applied in their organization, and what factors to consider when implementing AI solutions. They will also have a familiarity with common AI models and key terminology, as well as the ability to select appropriate models and monitor their performance once in production.
(This is the final course of the Analytics Bootcamp)
|
| Business Process Analysis |
24.00 |
$2,000.00 |
|
Description: This course focuses on data storytelling with Power BI, providing participants with an in-depth understanding of how to use data to tell compelling stories and drive business insights. Participants will learn how to use Power BI to model, visualize, and analyze data, and how to create effective data visualizations to communicate insights to stakeholders.
The course covers processes for data storytelling, including identifying and prioritizing key insights, structuring data stories, and using effective visualizations to convey complex data. Participants will also learn how to use Power BI to create interactive reports and dashboards, and how to share their insights with others.
Upon completion of the course, participants will have a solid understanding of data storytelling with Power BI and will be able to use data to tell compelling stories and drive business insights.
(This is the 5th course of the Analytics Bootcamp)
|
| Data Access - Programming |
16.00 |
$2,000.00 |
|
Description: In this course, you will weigh the pros and cons of cloud computing to make effective decisions and meet IT challenges. Students will learn how to connect to the SQL Server database and execute a simple query, include a search condition in a simple query, use various functions to perform calculations on data, organize data, retrieve data by combining information from multiple tables present query results in a report. This course also covers advanced techniques for querying a database including how to: code subqueries to generate query output, manipulate table data by inserting, updating and deleting records in a table, create a simple table, create tables with constraints, modify the table structure, and delete tables, create views, manipulate data through views, modify the view structure and drop views index data.
(This is the 1st course of the Analytics Bootcamp)
|
| Data Analytics Bootcamp |
146.00 |
$12,000.00 |
|
Description: Excel to Advanced Analytics in 12 Weeks!
From analyzing ad-hoc data sets to converging and visualizing in modern tool stacks!
Advance your skills in Data Analytics, learning how to leverage tools beyond Excel. Youll not only understand the relevant tools but how to effectively use data and communicate with it to provide relevant insights and drive data-driven decisions with your organization.
12-Week Camp:
Weeks 1-2, Data Access - Programming
Weeks 3-4, Introduction to Programming
Weeks 5-6, Data Stewardship and Quality
Weeks 7-8, Introduction to Python
Weeks 9-11, Business Process Analysis
Week 12, AI Foundations
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