In this course of data statistics and analysis, you'll find successful apparatuses and procedures to ace the procedure of interpreting and afterward communicating your information visualization and analysis work to business crowds.
Learning Style
Provider
Difficulty
Course Duration
In this course of data statistics and analysis, you'll find successful apparatuses and procedures to ace the procedure of interpreting and afterward communicating your information visualization and analysis work to business crowds.
Information flows anywhere today, however communicating and consuming the substance of these signs is no simple work. Business officials need to hear findings as productively as could be expected under the circumstances. Business supervisors might want an engaging dialogue with information, however, turn information aside if the weight of information is excessively incredible. Results truly matter. A demonstrated system and technique for communicating and interpreting information insights are important when difficulties arise.
In this course of data statistics and analysis, you'll find successful apparatuses and procedures to ace the procedure of interpreting and afterward communicating your information visualization and analysis work to business crowds. This course will engage you with demonstrated business techniques of analytics and boost your confidence for compelling correspondence of insights.
Data Analysts
Data Processing Specialist
| Brand | Microsoft |
|---|---|
| Subjects | Big Data |
| Lab Access | No |
| Technology | Microsoft |
| Learning Style | Self-Paced Learning |
| Learning Type | Course |
| Difficulty | Beginner |
| Course Duration | 8 Hours |
| Language | English |
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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