Python Time Series Analysis in Python - Sales Forecasting

Time Series Analysis in Python - Sales Forecasting

Catalog: Python
Short name: Time Series Analysis in Python - SF
Course start date: 2024-07-02
Paystack

Description

In this course, we'll focus on a case study that uses time series analysis to predict a store's sales.


Time Series Analysis, Data Preprocessing, Data Exploration, Visualization Techniques, Time Series Components, Model Creation with ARIMA (SARIMAX), Parameter Selection, Model Evaluation, and Time Series Modelling with Prophet are some of the subjects covered in this course.


Participants will be able to execute time series analysis, create a statistical model for time series, comprehend the variables or components of time series, and assess models, Python and ML libraries by the end of the course.

The installation of Anaconda on the computer, as well as a working knowledge of Python, Machine Learning, and Statistics, are prerequisites.

Course Duration:-2h 14m

Sections

General
0 activities

Introduction of Project
Data Preprocessing
Data Preprocessing Continue
More on Data Preprocessing
Feature Engineering
Feature Engineering Continue
Graph visualization-Components
Graph visualization-Components Continue
Training Model
Modelling and Evaluation
Validation and Forecasting
Producing and Visualizing Forecasts
Comparing Models
Installation of Library Prophet
Creating a Model using Prophet
Creating a Model using Prophet Continue
Evaluation of Model of Prophet Library
Course Certificate

Secure Video
17
Certificate
1
Cost: 5000

Tag

Course Duration:-2h 14m