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This training uses the R programming language as a guide to statistics and data science. This addresses both the theoretical dimensions of Statistical Concepts and the application of R in reality.
Learning Style
Learning Style
Difficulty
Course Duration
This training uses the R programming language as a guide to statistics and data science. This addresses both the theoretical dimensions of Statistical Concepts and the application of R in reality.
This training uses the R programming language as a guide to statistics and data science. This addresses both the theoretical dimensions of Statistical Concepts and the application of R in reality.
Subjects | Big Data |
---|---|
Lab Access | No |
Technology | Microsoft |
Learning Style | Self-Paced Learning |
Learning Type | Course |
Difficulty | Beginner |
Course Duration | 9 Hours |
Language | English |
VPA Discount | VPA Discount |
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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