This intermediate-level training program is specifically designed for Business Data Scientists and IT Professionals striving to master the Fundamentals of Analytic Storytelling.
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Course Duration
This intermediate-level training program is specifically designed for Business Data Scientists and IT Professionals striving to master the Fundamentals of Analytic Storytelling.
This intermediate-level training program is specifically designed for Business Data Scientists and IT Professionals striving to master the Fundamentals of Analytic Storytelling. Data Analysts and Professional working within Data Environment can greatly benefit from the teachings of this course. The primary objective of this course is to help Data Professionals leverage the core features and functionalities of Analytic Storytelling to conduct effective business communications.
Through this course, professionals will learn to leverage visual science essentials to deliver substantial business insights and data to business executives. This course overviews the core concepts of Storytelling Principles and helps professionals understand its application in Analytic Works. Candidates will also get to know how Analytics can Improve Presentation and will learn the art of developing High-Impact Presentation & Reports. The teachings of this course are designed to help professionals communicate data and information effectively and in a hassle-free manner.
The core objective of this course is to help professionals develop a better understanding and sound knowledge of the following key concepts:
This course is specifically tailored for the following group of professionals and interested candidates:
Professionals planning to enroll in the Analytics Storytelling for Impact course must comply with the following prerequisites:
Analyzing and Visualizing Data through Power BI Certification
| Brand | Microsoft |
|---|---|
| Subjects | Business Productivity, Cloud Computing, Virtualization |
| Lab Access | No |
| Technology | Microsoft |
| Learning Style | Self-Paced Learning |
| Learning Type | Course |
| Difficulty | Intermediate |
| Course Duration | 24 Hours |
| Language | English |
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Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.
Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.
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