After completion of this course student will get an overview about what is data science today and how they can implement python and R language for data science.
Basic knowledge of C or Java and basic python and statistics.
Introduction to Python for Data Science
Python DataScience
Python Pandas
Python NumPy
Python Scipy
Python Matplotlib
Python Data Processing
Python Data Operation
Data cleansing
Processing CSV Data
Python relational Database
Python Data Visualization
Python chart properties
Chart Styling
Python Graph Data
Python Scatter plot
Python 3D charts
Statistical Data Analysis
Measuring central tendency
Measuring variance
Normal , binomial and Poisson distribution
Correlation and linear regression
Introduction To R
Overview of R language
DataType ,variable and operators
Decision Making and loops
Function
Array
Factors
DataFrame
Package
R Data Interface
CSV files
Excel file
Binary files
Database
R charts and graphs
R-pie charts
R- Bar charts
Histogram
Line graph
Scatter diagram
R Statistics
Mean , median and mode
Regression
Normal , Binomial and Poisson distribution
Analysis of covariance
Time series analysis
