This course provides professionals with an insight into the world of Data Analysis and advocates the need for Data Visualization Literacy.
Learning Style
Provider
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Course Duration
This course provides professionals with an insight into the world of Data Analysis and advocates the need for Data Visualization Literacy.
The Data Visualization: A Practical Approach for Absolute Beginners Course is included in the series of Data Analysis Courses of the Microsoft Professional Program.
In today’s world of information technology, businesses heavily rely on data analysis and visualization to develop business strategies and practices driving continuous improvement and growth. This has augmented the need for Data Analysts in business enterprises and small and large-scale organization. From healthcare institutions to non-profit organizations, the benefits of data analysis and visualization are relished by business professionals from all across the world.
This course provides professionals with an insight into the world of Data Analysis and advocates the need for Data Visualization Literacy. The teachings of this course train professionals with the skillset needed to build Data Visualization strategies that are interactive and compelling. This course covers Chart Types & Data Visualizations, Data Visualization Science, Interaction, & Design, Dashboards Creation, and effective ways to avoid the most common Data Visualization Pitfalls.
The core objective of this course is to help professionals gain a better understanding and conceptual knowledge of the following key elements:
This course is specifically tailored for professional Data Analysts and students striving to pursue a career in the niche of Data Analytics.
Professionals planning to enroll in the Data Visualization: A Practical Approach for Absolute Beginners course must comply with the following prerequisites:
| Brand | Microsoft |
|---|---|
| Subjects | Business Productivity |
| Lab Access | No |
| Technology | Microsoft |
| Learning Style | Self-Paced Learning |
| Learning Type | Course |
| Difficulty | Beginner |
| Course Duration | 12 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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