ERP stands for Enterprise Resource Planning. Technically, it is a computer training program that deals with aspects such as: IT, relevant Software, business processes etc. This training program revolves around management knowledge and business process software that deals with automation of organizations, business firms and enterprises.
The course covers the tools and skills sought by leading companies in Data Science. Through the duration of the course, candidates are trained on Python, SQL, Tableau, Data Science and Machine Learning. Participants in the course build their knowledge through classroom lectures by expert faculty and doing multiple challenging projects across various topics and applications in Data Science.
Students will tackle a wide variety of topics under the umbrella of HOURS exploratory data analysis. Getting, cleaning, analyzing and visualizing raw data is the main job responsibility of industry data scientists. Here you will learn how to discover patterns and trends that influence your future modeling decisions.
Students will learn how to explore new data sets, implement a HOURS comprehensive set of machine learning algorithms from scratch, and master all the components of a predictive model, such as data preprocessing, feature engineering, model selection, performance metrics and hyperparameter optimization.
Eligibility criterion for graduation (10+2+3) from a recognized university/ educational institution (UGC/AICTE/DEC/AIU/State Government) in any discipline and that International applicants must have completed their graduation or equivalent degree from any recognized University or Institution in their respective country.
Track | Regular Track | Weekend Track | Fast Track | Correspondence |
---|---|---|---|---|
Course Duration | 45 - 60 Days | 8 Weekends | 8 - 10 Days | 6 Months |
Hours | 2 hours a day | 3 hours a day | 6+ hours a day | 90+ hours programm |
Training Mode | Live Classroom | Live Classroom | Live Classroom | Live Classroom |
Tution Fees | INR 18,500/- | INR 18,500/- | INR 18,500/- | INR 18,500/- |
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