This course is Instructor Led Online. Duration : 36 Hours of Training. 40+ hours of videos, Course Material, scripts, Workflows, Demos, Project Mentoring
We understand that knowledge of Data Analytics is incomplete without proper understanding of Descriptive Statistics. We take our participants through several use cases of Descriptive statistics to understand the concepts
The core of applying decision theory is Advanced Analytics, and the techniques are taught during this course.
Data as we know it has changed massively over the past decade. Unstructured data plays a bigger role and being able to handle all types of unstructured data pays a role in our training
Python has long been the fore-runner as a Programming Language and we train it the way you can use and master it. We train you to be master programmers on Python and its Libraries such as Pandas, Numpy, Matplotlib, Pyplot etc
Knime Analytical Platform has been adjudged the Leaders in the Gartner ratings, and we make sure that our students are able to work with ease on this Analytical Platform
Having core understanding of Data and Analytics is not complete without visualization, and so we round out our training with core visualization skills for the attendees.
Machine Learning both Supervised and Unsupervised are the core to this training module and we cover that in great depth
We cover Natural Language Processing using both Python and Knime. Our students work with ease with loads of text data at the end of this section
All our training has a Projects attached with it. Attendees are encouraged to bring in their data or use our data for completing their project work. We also encourage and mentor our students to take part in Kaggle challenges and appear in Hackathons.
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