The world is in the age of analytics becoming more data driven by the day. Scientific data analysis has become all – pervasive making it one of the fastest growing and most profoundly important fields in management. In this workshop course we combine conceptual knowledge of Artificial Intelligence with extensive experience of applying it to real-world data. You will develop skills in applying data science to make production leveraging the information hidden in numerical, textual and categorical data. The emphasis is on learning hands-on techniques to maximize the predictive performance of data science workflows. After building a solid foundation in the data science stack, we focus on the different types of features sources for artificial intelligence.

Course Objective:

At the end of the program, delegates will be able to: Set up an integrated analysis pipelines for building reliable and repeatable data science with Artificial Intelligence Write programs to access the various data science tools, document and automate analytic processes using the python standard library. Concisely express high performance computation and numerical analyses using Scipy. Effectively load, clean, normalize, aggregate and transform data using Pandas. Use specific regression, classifications and clustering algorithms to model data and solve problems by leveraging the full power of the Scikit-Learn API.

What students will get to know at the workshop?

At the end of the program, delegates will be able to:

• Set up an integrated analysis pipelines for building reliable and repeatable data science with Artificial Intelligence
• Write programs to access the various data science tools, document and automate analytic processes using the python standard library.
• Concisely express high performance computation and numerical analyses using Scipy.
• Effectively load, clean, normalize, aggregate and transform data using Pandas.
• Use specific regression, classifications and clustering algorithms to model data and solve problems by leveraging the full power of the Scikit-Learn API

Course Target Group

• Data Analyst
• Data Scientists
• Machine Leaning engineers
• Quantitative Analyst
• Software Developers
• Data Engineers and Architects
• Business Intelligence

Course Start Time, Location and Investment Starts Time: 12PM Venue: OGMA TECHLAB (CZ-32, Metropolitan Co-operative Housing Society) Workshop Methodologies: This workshop will combine instructor-led presentations with interactive discussions between participating delegates that relate to their individual interest. It is presented in a very hands-on way to suit individuals with varying levels of knowledge and experience. In addition, practical exercise, video material and case studies will stimulate and support the discussions in order to provide maximum benefit to the participants,

Chief Course Facilitator

Mr. Sourav Karmakar, ISI faculty

Payment Terms

Online payment through debit/Credit Cards For more Information’s call us at: +91 82400 87548 / +91 85830 34543