Learn how to Solve 3 real Business Problems. Build Robust AI ,Time Series Models for Time Series Analysis & Forecasting
☑ 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.
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.
English
Language
Introduction
Intro to this course & course Benefits
How to follow this course-Must Watch
Download Anaconda Navigator & set-up
Predict Temperature of Different Cities using Time Series Analysis Algorithms
Introduction to Business Problem & Dataset
Analyse Whether Global Warming exists or not
Explore Average Temperature of Each Season
Perform Data Pre-Processing on your data
How to check Whether Data is Stationery or not
Examine seasonality in a data
Build Time Series Model using Moving Average
Intuition behind ARIMA –part 1
Intuition behind MA model — ARIMA part 2
Intuition behind AR model — ARIMA part 3
Intuition behind Integrating — ARIMA part 4
Applying ARIMA algorithm on your data
How to Cross Validate your Time Series Model?
Predicting Covid-19 Cases using Prophet
Introduction to Business Problem & Dataset
Perform Data Pre-Processing on data..
Applying Prophet Model on Data
Visualising your predictions
How to Cross Validating your Time Series model using Prophet
Obtain Performance Metrics for your model
Predict Stock Prices using Automated Time Series Models
Introduction to Business Problem & Dataset
Analyzing Time Series data
Data preparation for Time Series Forecasting
Apply Auto-Arima on data
Evaluating Time Series Model