Analyttica Datalab introduces Analyttica TreasureHunt® LEAPS

Innovative Analytics and Data Science skilling, and data mining platform focussed on real life applications, with real cases and data

  • Analyttica Datalab introduces Analyttica TreasureHunt® LEAPS

Bengaluru, Karnataka Apr 27, 2020 (Issuewire.com)  - Analyttica Datalab® Inc, founded by Rajeev Baphna, (a 30 year veteran of the field, who was recently listed among the 10 most influential analytics leaders in India) launched Analyttica TreasureHunt® (ATH) LEAPS (Learn-Apply-Solve) – a powerful and innovative experiential analytics platform on April 22, 2020.

The team has been creating and delivering analytics and AI solutions globally for many years with significant business impact. With ATH LEAPS, they have leveraged their years of experience in building a platform that allows its users to focus on the “practical and contextual applications” of analytics and data science principles.

The application focussed approach is conspicuous by the general framework of the platform which unfolds in three stages i.e. Learn - Apply – Solve.

Learning is facilitated by fostering context-based understanding of analytical concepts on real data.

A virtual lab has also been set up for application & experimentation, powered by the company’s award-winning AI/ML platform – Analyttica TreasureHunt® Precision. It has 650+ analytics and data science functions and algorithms, available point and click, for users to play around with, learning, and growing.

The best part is that the learners can solve industry-specific business problems that Analyttica has incorporated by providing real business cases. One can clone-modify and build their innovations around these cases seamlessly.

Rajeev says “I am thrilled to open our skilling and data mining platform to the users around the globe. Our vision of proliferating the appreciation of analytics and data science as a blend of Art and Science to generate significant impact by solving real-world problems in enterprises, government and society, is now accessible to one and all!”

Addressing a common problem amongst learners i.e. “difficulty with coding,” the platform has been built in a code-free environment. However, it allows one to opt for coding if one so desires. The automation in coding essentially helps with giving users the time to focus on application principles first.

The platform brings to the table some unique user-focused elements of its own. It allows multiple users to find solutions to challenges in a collaborative manner. To make the process of grasping concepts even more engaging and fun, Global Hackathons will also be organised through the platform very soon.

“The ability to connect with business context, and select an approach to solving it accurately and quickly by application of analytics and data science, is a skill that is/will be in high demand. A fundamental way to acquire and hone that skill is to “learn-by-doing” as in “on-the-job-experience”. This is the design principle on which ATH LEAPS is built. I am excited to convey that we are already seeing a strong embracing of this thought process by industry practitioners and academicians around the world. We are confident that ATH LEAPS will create a huge difference in how education and skilling is approached in the analytics and data science space!” – says Satyamoy Chatterjee, EVP, Analyttica Datalab.

The fact that the platform has been made by real practitioners makes it extremely “job oriented”, thus making it a viable option for people across diverse segments. Aspirants seek advantage from the practicality of the Learn capabilities, at the same time, Professionals Practice/Apply themselves on real cases, and upskill as well on advanced methods.

ATH Leaps is a great platform to upskill and nurture the data enthusiast in you…!

 Visit - https://leaps.analyttica.com/

free




Media Contact

Analyttica Datalab prashant.dixit@analyttica.com https://www.analyttica.com/
Categories : Open source , Technology
Tags : data , datascience , machinelearning , datasciencecourse , analytics , datavisualisation , artificialintelligence , dataanalyst , datascientist
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