Course Contents

Data Science overview, Data Science Fundamentals and it's Implementations.
Introduction to Statistics and Analysis
Introduction to Python Programming and Fundamentals. Python Data Types.Python File Handling. OOPs Programming with Python.
Data Analysis and Visualisation. NumPy, PANDA, MatplotLib etc.
Introduction To Machine Learning
Linear Regression Analysis .Logistic Linear Analysis.
Other Classification Algorithm.K Nearest Neighbours Support Vector machines.Naive Bayes Classifier.C
Dimensionality Reduction Problems.
Clustering Techniques
Introduction to Neural Network. Software and Libraries for Neural Network. Artificial Neural Network. Artificial Neral Network Implementation
Convolution Neural Network
Recurrent Neural Network

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Frequently Asked Questions

K2N Academy's courses are designed with inputs from corporate houses as Industry Ready programs which have ready acceptance in Industries.
We do provide soft copies of notes and handout of the classes for the benefit of students.
Yes we have selective courses which lead to global certifications.
We do provide certificates to the students on the basis of periodic evaluation test conducted during training..