Nitin Malik Professor of Data Science & Artificial Inteligence
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20 years of academic, interdisciplinary research and consultancy experience
Certifications: Python (IIT Madras), AWS Machine Learning (Udacity), Deep Learning (IIT Madras), Ethics of Artificial Intelligence (University of Helsinki).
Skills: PyCaret, Prophet, Flask, Tableau, Amazon Forecast, Sagemaker.
Specialization: Linear Algebra, Data Engineering, Neural Networks, Image Processing, Text Analytics
Python code for the topics covered.
Will share good web resources in each class.
Lifetime access to videos on the topics.
Happy to help in projects, assignments, homework, quizzes, tests in areas of AI, data science and machine learning (regression, time-series forecasting, classification, clustering) applications in finance, marketing, healthcare domains via online classes in the evenings and weekends (Indian Standard Time) using Graphic/Pen tablet.
Provides value for money.

Subjects

  • Statistics Beginner-Expert

  • Python Beginner-Expert

  • Machine Learning Beginner-Expert

  • Deep Learning Beginner-Expert

  • Mathematics for Data Science Beginner-Expert


Experience

  • Professor of Computer Science and Engineering (Dec, 2019Present) at the northcap university gurgaon
    Involved in Teaching to B.Tech, M.Tech and PhD students.
    Published 50 papers in journals, conferences and book chapters, and 1 patent
    Supervised 3 PhD scholars and supervising 6 PhD scholars.

Education

  • PhD (Jun, 2008Jun, 2014) from Jamia Millia Islamia, New Delhi
  • M.Tech (Jul, 1999Jan, 2021) from ME MITS Gwaliorscored 81.96%
  • B.Tech (Jul, 1995Jun, 1999) from Dcrust university, murthal, sonipatscored 65.4%

Fee details

    2,000/hour (US$23.58/hour)


Courses offered

  • Python for Data Science

    • 20000
    • Duration: 20 hours
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: No
    Content: Expressions, Operators, datatypes, datastructures, conditional statements, loops, routines, functions, refactoring code, recursion, OOPS, File handling, exception handling, python libraries such as maths, numpy and pandas.
    Day and Time as per your convenience
    Group size: 1 to many
  • Statistics

    • 20000
    • Duration: 20 hours
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: No
    Content: Descriptive statistics, sampling, probability distributions, inferential statistics, Confidence Interval, hypothesis testing, AB testing, parametric & non-parametric tests, dimensionality reduction, ANOVA, ANCOVA, Introduction to Bayesian Statistics.
    Day and Time as per your convenience
    Group size: 1 to many

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