Python Statistics Essentials with Python

Statistics Essentials with Python

Catalog: Python
Short name: SE with Python
Course start date: 2024-07-02
Paystack

Description

`Many of us have heard it that statistics is one the next sexy jobs that is coming up in the career opportunities (this fact is vouched by even Hal Varian). Almost five years Tim O’Reilly said that data is the next big thing to happen in the world. But what exactly is data and why is it so important? And why is there so much importance being given to statistics and data in the world today?The web is full of apps that are driven by data. All the e-commerce apps and websites are based on data in the complete sense. There is database behind a web front end and middleware that talks to a number of other databases and data services. But the mere use of data is not what comprises of data science. A data application gets its value from data and in the process creates value for itself. This means that data science enables the creation of products that are based on data.


This training is an introduction to the concept of statistical concepts that are very important to Data science domain and its application using Python.

Course Duration:-3h 26m

Sections

General
0 activities

Introduction to Data Science
Calculating Mode
Calculating Dispersion Measures
Histogram Calculation
Correlation Function
Basic Concept of Statistics
Pandas Data Frame
Basic Reveration Techniques
Using Numphy Techniques
Summation of Elements
Hypothetical Testing Method
Differences in Numphy Package
Calculating the Denominator
Using Exclusive Events
Finding the Measurement
Implementing Test Scenarios
Ordinary Least Square Regression Techniques
Analyzing the Test Statistics
Output of the Variables
Multiple Explanatory Variables
Fitting the Model
Fitting the Model Continues
Curve Fitting and Regression Fit Line
Co efficient and Intercept Value
Course Certificate

Secure Video
24
Certificate
1
Cost: 5000

Tag

Course Duration:-3h 26m