Learn business analytics basics along with advanced predictive models, artificial intelligence applications and machine learning algorithms in IMS Proschool’s Data Science Course. Get hands-on experience with Python, Power Bi, Tableau, SQL during the certification course.
DurationSave time with the intermediary-level course that prepares you for the first 5-8 years of your analytics career.
Learn business analytics basics along with advanced predictive models, artificial intelligence applications and machine learning algorithms in IMS Proschool’s Data Science Course. Get hands-on experience with Python, Power Bi, Tableau, SQL during the certification course.
Certification:
Awarded on clearing all end-terms exams that would include a combination of an online exam and project-work submission.
Proschool is one of the leading NSDC-approved institutes of skill development in India, with a strong presence in technology, finance, and accounting domains. It brings a strong understanding of the industry’s needs and a unique “active learning” approach to skill development.
We provide ‘curated’ jobs matched to your job preferences. Also avail profile building support in terms of Resume building, mock interview preparation, soft skills and much more
Machine learning (ML) is a form of artificial intelligence (AI) that is more accurate at predicting outcomes without explicitly programming software applications to do so. Machine learning is an AI technique that allows computers to learn from experience.
The Artificial Intelligence Foundation certification tests a candidate’s knowledge and understanding of the terminology and general principles of AI.
Using the potent Keras package and the Python language, Deep Learning with Python provides an introduction to the area of deep algorithmic learning. François Chollet, the founder of Keras and a Google AI researcher, provides clear explanations.
R Language course is offered by T4TEQ Software Solutions. T4TEQ Software Solutions aims to produce skilled and well-rounded employees for the IT and ITES industries.
The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code.
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