Time Series Analysis Real World Projects in Python

Time Series Analysis Real World Projects in Python, available at $74.99, has an average rating of 3.7, with 35 lectures, based on 462 reviews, and has 63068 subscribers.

You will learn about Carry out time-series analysis in Python and interpreting the results, based on the data in question. Forecast the future based on patterns observed in the past. Gain Hands-on by solving Real World Use-cases Comprehend stationarity and how to test for its existence. This course is ideal for individuals who are One who is curious about Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis.. It is particularly useful for One who is curious about Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

Enroll now: Time Series Analysis Real World Projects in Python

Summary

Title: Time Series Analysis Real World Projects in Python

Price: $74.99

Average Rating: 3.7

Number of Lectures: 35

Number of Published Lectures: 35

Number of Curriculum Items: 35

Number of Published Curriculum Objects: 35

Original Price: ?1,199

Quality Status: approved

Status: Live

What You Will Learn

Carry out time-series analysis in Python and interpreting the results, based on the data in question.

Forecast the future based on patterns observed in the past.

Gain Hands-on by solving Real World Use-cases

Comprehend stationarity and how to test for its existence.

Who Should Attend

One who is curious about Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

Target Audiences

One who is curious about Data Science, AI, Machine Learning, Natural Language Processing, Time Series Analysis..

Are you looking to land a top-paying job in Data Science , AI & Time Series Analysis & Forecasting?

Or are you a seasoned AI practitioner who want to take your career to the next level?

Or are you an aspiring data scientist who wants to get Hands-on  Data Science and Time Series Analysis?

If the answer is yes to any of these questions, then this course is for you!

This course will teach you the practical skills that would allow you to land a job as a quantitative financial analyst, a data analyst or a data scientist.

In business, Data Science , AI  is applied to optimize business processes, maximize revenue and reduce cost. The purpose of this course is to provide you with knowledge of key aspects of data science & Time Series applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.

Welcome to the best online resource for learning how to use the Python programming Language for Time Series Analysis!

This course will teach you everything you need to know to use Python for forecasting time series data to predict new future data points.

1.Task #1 @Predicting the Temperature  : Develop an Time Series model to predict Temperature..

3.Task #2 @Predict Covid-19 Cases: Develop Time Series Model using Prophet that can predict Covid-19 cases

2.Task #3 @Predict the Stock Prices:Predict the prices of stock using Time Series Algorithms.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Intro to this course & course Benefits

Lecture 2: Utilize this GOLDEN oppurtunity , QnA section !!

Lecture 3: How to follow this course-Must Watch

Lecture 4: Download Anaconda Navigator & set-up

Lecture 5: Quick Summary of Jupyter Notebook

Chapter 2: Predict Temperature of Different Cities using Time Series Analysis Algorithms

Lecture 1: Introduction to Business Problem & Dataset

Lecture 2: Datasets & Resources

Lecture 3: Lets Pre-process Data !

Lecture 4: Analyse Whether Global Warming exists or not

Lecture 5: Explore Average Temperature of Each Season

Lecture 6: Data Preparation for your Time series Modelling

Lecture 7: How to check Whether Data has Seasonality or not

Lecture 8: find whether data is stationary or not

Lecture 9: How to make your data stationary

Lecture 10: build Time Series model using Moving Average

Lecture 11: Intuition behind ARIMA –part 1

Lecture 12: Intuition behind MA model ARIMA part 2

Lecture 13: Intuition behind AR model ARIMA part 3

Lecture 14: Intuition behind Integrating ARIMA part 4

Lecture 15: Applying ARIMA algorithm on your data

Lecture 16: How to Hypertune your Time Series Model ?

Chapter 3: Predicting Covid-19 Cases using Facebook Prophet

Lecture 1: Introduction to Business Problem & Dataset

Lecture 2: Datasets & Resources

Lecture 3: Perform Data Pre-Processing on data..

Lecture 4: Applying Facebook Prophet Model on Data

Lecture 5: Visualising your predictions

Lecture 6: How to Cross Validating your Time Series model using Prophet

Lecture 7: Obtain Performance Metrics for your model

Chapter 4: Predict Stock Prices using Automated Time Series Models

Lecture 1: Introduction to Business Problem & Dataset

Lecture 2: Datasets & Resources

Lecture 3: Analyzing Time Series data

Lecture 4: Data preparation for Time Series Forecasting

Lecture 5: Apply Auto-Arima on data

Lecture 6: Evaluating Time Series Model

Chapter 5: Bonus Section

Lecture 1: Bonus session

Instructors

Shan Singh
Top Rated & Best-Selling Udemy Instructor , Data Scientist

Rating Distribution

1 stars: 8 votes

2 stars: 15 votes

3 stars: 58 votes

4 stars: 160 votes

5 stars: 221 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!