| Description |
1 online resource (1 video file (2 hr., 49 min.)) : sound, color. |
| Playing Time |
024900 |
| Description |
digital rdatr |
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video file rdaft |
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Instructional films lcgft |
| Performer |
Tobias Zwingmann, presenter. |
| Summary |
In this course, you'll discover the essentials of business analytics and learn how to transform raw data into actionable insights for effective decision making. This course is designed for business analysts, data analysts, managers, and professionals who want to understand the importance of data-driven decision making and leveraging data to drive business success. This course will empower you to make better, data-informed decisions that drive business success, regardless of the tools or programming languages you use. What you'll learn and how you can apply it By the end of this course, the learner should understand: The principles of business analytics and its role in data-driven decision-making Key frameworks for measuring business performance and identifying value drivers Essential analytics techniques for decision support such as decision trees, segmentation, trend analysis, and advanced concepts like predictive analytics The significance of data visualization and communication How to conduct essential business analytics techniques with Python And the learner will be able to: Drive business impact through analytics across all industries Identify and analyze value drivers in business processes Develop meaningful and effective KPIs for controlling business performance Utilize essential analytical techniques to derive actionable insights from data Create clear and compelling data visualizations to communicate insights Implement data-driven decision-making strategies in their organization Create their own business analytics workflows using Python This recording of a live event is for you because You're a business analyst or data analyst who wants to deepen your understanding of proven business analytics concepts and techniques. You're a manager or professional who wants to improve your data-driven decision-making skills. You're a data enthusiast who wants to learn how to drive more business impact with your analyses. You're a professional interested in exploring the potential benefits of AI and machine learning in your analytics processes. You're a small business owner that wants to learn how to control, manage, and improve the performance of your business. Prerequisites No advanced technical knowledge or programming experience is required. |
| Subject |
Python (Computer program language)
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Business -- Data processing.
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| Genre |
Instructional films.
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Nonfiction films.
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Internet videos.
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| Added Author |
Zwingmann, Tobias, author.
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O'Reilly (Firm), publisher.
|
| Standard No. |
0636920942498 |
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