Data Science Online Course

₹50000 ~~₹ 50000~~

0% off

This includes following

160 Videos
Duration : 4 Month
320 Hours
Completion certificate : Yes
Language : Hinglish

Mock test + HR skill Development + Placement

Data science provides meaningful information based on large amounts of complex data or big data. Data science, or data-driven science, combines different fields of work in statistics and computation to interpret data for decision-making purposes. Data is drawn from different sectors, channels, and platforms including cell phones, social media, e-commerce sites, healthcare surveys, and Internet searches. The increase in the amount of data available opened the door to a new field of study based on big data—the massive data sets that contribute to the creation of better operational tools in all sectors.

Flexible schedule

Interview Preparation

Resume Preparation

Live Project Training

Practice Course Material

Python - Data Science

PANDA

NUMPY

SciPY

MATPLOTLIB

R-Programming

  Python - Data Science

•	Data Science-Overview
•	What is the Data Structure
•	Data Science Frameworks

  PANDA

•	Panda in Data Science
•	Panda Framework in DS
•	Panda Framework Architecture
•	Panda Installation and Setup
•	Panda Data Frames
•	Panda Series
•	Panda Statistics
•	Panda Functions
•	Panda Iteration
•	Panda Aggregate Functions
•	Python Pandas – Introduction
•	Python Pandas – Installation
•	Python Pandas – Series
•	Python Pandas – Iteration
•	Python Pandas – Sorting
•	Python Pandas SQL- GroupBy,OrderBy
•	Python Pandas – Merging/Joining
Python Pandas – Concatenation

  NUMPY

•	NUM PY in Data Science
•	NUMPY Overview
•	NUM PY –Components
•	NUM PY ND Array
•	NUM PY Data Types
•	NUM PY with Pandas
•	NUM PY Functions
•	NUM PY Statistics
•	NUM PY Library
•	NUM PY Advance Functions
•	Basic Functions of Numpy
•	Shape,size,dtype,itemsize,data,sum
•	Min,max,empty ,arange
•	Linspace,logspace
•	Reshape,random,exp,sqrt

  SciPY

•	Sci PY Introduction
•	Sci PY Installation and Setup
•	Sci PY Interpolation
•	Sci PY Input and Output
•	Sci PY Cluster
•	Sci PY Algebra
•	Sci PY Transformation
•	Sci PY – Constants
•	Sci PY – Integrate
•	Sci PY – CSGraph
Sci PY Advance

  MATPLOTLIB

•	Matplotlib Overview
•	Matplotlib – Installation
•	Types Of Plots
•	Working With Multiple Plots
•	Matplotlib – Figure Class and Axes Class
•	Matplotlib – Formatting Axes
•	Matplotlib – Bar Plot
•	Matplotlib – Pie Chart
•	Matplotlib – Scatter Plot and Contour Plot
•	Matplotlib – 3D Plot
•	Matplotlib – Working With Text

  R-Programming

•	Introduction of R-Programming
•	Environment Setup
•	Basic Syntax
•	Variables & Constants in R-Programming
•	Operators in R-Programming
•	Conditional Statements in R-Programming
•	loops in R-Programming
•	Functions and Strings in R-Programming
•	Vectors in R-Programming
•	Matrix in R-Programming
•	Data Frame in R-Programming
•	Pie Charts in R-Programming
•	3D Plot in R-Programming
•	Statistics in R-Programming
•	Mean, Median & Mode in R-Programming
•	Regression in R-Programming
•	Analysis of Covariance in R-Programming
•	Time Series Analysis in R-Programming
•	CSV Files in R-Programming
20.XML Files in R-Programming