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Introduction to Azure ML
An introduction to Azure Machine Learning studio followed by the explanation of basic tasks such as creating a workspace, data exploration and visualization, and building a machine learning model.
Web Scraping in R
An introduction to web scraping in R. Using R to write standard web scraping commands, schedule email alerts of analysis, and use taskscheduleR to set up an automated web scraping script.
Introduction to R Programming
Discussion on the fundamentals of R - from installing R and its benefits to the interface, functions, and data types. The usefulness of R in data science cannot be overstated.
Data Mining Fundamentals
A detailed introduction to Data Mining, starting with the basic vocabulary used in various processes and discussion on major issues and how to tackle them in the real-world.
Data Storage Systems
Overview of various storage systems from Redshift, MySQL, and Hadoop to a list of other data systems used for analytical and operational purposes to take better decisions.
What is a Data Engineer
Everything about the role and responsibilities of a Data Engineer. From data pipelines and storage systems to managing metrics, models, and dashboards, a Data Engineer does it all.
NLP 101 + Chatbots
The basics of Natural Language Processing, its components, and enterprise applications. Using NLP to build a simple chatbot that can deal with some Frequently Asked Questions (FAQs).
Data Analysis with Excel
Proper analysis of business data is one of the fundamental skills for a data professional. Microsoft Excel is a strong tool that can ensure data analysis in a robust manner.
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Corey Weisinger
Data Scientist at Knime
Maarit Widmann
Data Scientist at Knime
Upcoming Event
May 19, 2022 | 12 PM PDT
Time Series Analysis with the KNIME Analytics Platform
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Corey WeisingerData Scientist at Knime
Maarit WidmannData Scientist at Knime
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Asim Memon
Manager - Apple
Getting hands-on gave me insights which would have been impossible through a online course like coursera, so this makes it worth it.
Kavitha Balasubramanian
Software Engineer - Microsoft
Overall quality of the boot-camp is very good. The ambiance of boot camp, motivation to teach, interest to learn were all positive. Highly qualified teachers with strong intention to make the students understand is also a big plus.I would say that it is a 5 day retreat with Great food for the tummy and brain.
Akshita Garg
Program Manager - Microsoft
I liked that the home works were not too hectic and the topics were covered in such a simple language which was very well understandable. I really loved the overall training and the way concepts were covered in such a short time.
Jonathan Mathews
Silicon Architecture Engineer - Intel
A lot of great info and solid quick start on the latest on the field. Raja is a great teacher and obviously has a lot of passion and care for students.
Kapil Pandey
Analytics Manager - Samsung
At the end of the fifth day I think all of us are at the same place, so that’s the beauty of this program. You could come from any background because we are covering some diverse topics here, and making sure it’s a level playing field and again, going back to to the motto of, hey, this is for everyone.
Roberto Terzini Perez
Sales Manager - Google
I truly believe this week long bootcamp is an interesting format for people that want to start on a more data-science path but find it hard to take more time off work to do it! I highly recommended!
Marwan Rateb
Kaiser Permanente - Director
Great introduction to Data Science. Gives you the confidence and tools to start using Data Science in the real world!
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