DATA SCIENCE (PYTHON WITH ML) SKILLS COVERED PYTHON CORE & ADV. Core Python  Data Science require Python  Jupyter Notebook  Python Syntax  Conditional Operators, Arithmetic, Scope, Lambda Functions. Adv. Python Oops concepts (inheritance, polymorphism, Encapsulation, multithreading, classes, objects)  Advance python for ML Numpy module  Introduction to Array  Creation and Printing of ndarray  Basic Operations in Numpy  Indexing  Mathematical Functions of Numpy Panda’s module  Series and Data Frames  Data Importing and Exporting through Excel, CSV Files  Data Understanding Operations,  Descriptive Statistics, Removing Duplicates, String Manipulation Data visualization Matplotlib, Basic Plotting, Properties of plotting, About Subplots, Line plots, Pie chart and Bar Graph, Histograms. Box and Violin Plots, Scatter plot Machine Learning  Top 7 Algorithms in Supervised  Top 3 Algorithms in Unsupervised

PROGRAM DURATION : 6 MONTHS

100% (Placement Assistance)

NON TECHNICAL / INTERVIEW SKILLS:
A / R / V / CS – Screening Test for Job

 Software Installation
 Soft Copy Material
 Lab Facilities
 Internship Certificate
 Training Certificate
 Resume Creation
 Job Interview Support

 1 Web Based Project (Web Application)
 2 Machine Learning Projects
 3 Months unpaid Internship Certificate