Time Series Analysis Real world use-cases in python

Course Curriculum

Chapter 1: Introduction

Lecture 1: Intro to this course & course Benefits

Lecture 2: Utilize QnA Section ( Golden Opportunity ) !

Lecture 3: How to follow this course-must watch

Lecture 4: How to download Anaconda Navigator & do set-up

Lecture 5: Quick Summary of Jupyter Notebook

Chapter 2: Project 1–>> Predict the prices of a Bitcoin

Lecture 1: Introduction to Business Problem

Lecture 2: Dataset & resources

Lecture 3: Prepare your data for Analysis

Lecture 4: What is re-sampling & how to perform it..

Lecture 5: Perform In-depth Analysis on Data..

Lecture 6: What is trend & how to analyse trend of closing price..

Lecture 7: Building a Base-line Model..

Lecture 8: What is seasonality & stationarity & how to examine it.

Lecture 9: Performing Statistical Test to detect Stationarity..

Lecture 10: How to Smoothen your series

Lecture 11: Build model using Facebook Prophet

Lecture 12: How to cross validate your Facebook Prophet model..

Chapter 3: Project 2–>> Predict Number of Births on a given day

Lecture 1: Dataset & resources

Lecture 2: Understanding distribution & trend of data..

Lecture 3: What is rolling & how to perform rollling on our data..

Lecture 4: Building a naive model & evaluate it..

Lecture 5: Intuition behind ARIMA –part 1

Lecture 6: Intuition behind MA Model– ARIMA part 2

Lecture 7: Intuition behind AR model — ARIMA part 3

Lecture 8: Intuition behind Integrating — ARIMA part 4

Lecture 9: Building a ARIMA Model..

Lecture 10: What is Normalization & How to normalize your data..

Lecture 11: How to Featurize your Data.

Lecture 12: Performing Dickey Fuller Test on Data

Lecture 13: How to Hypertune your Time Series Model

Chapter 4: Project 3–>> Predict the prices of Stocks

Lecture 1: Dataset & resources

Lecture 2: Collecting our Data for use-case

Lecture 3: Perform Exploratory Data Analysis on data

Lecture 4: Building Interactive Plots using Plotly

Lecture 5: What is Co-relation & how to check your Features are co-related or not..

Lecture 6: Perform Value at Risk analysis

Lecture 7: Finding Relationship between your data

Lecture 8: Analysing Historical Prices using Candle-stick

Lecture 9: Prepare your data for Time Series Modelling..

Lecture 10: Building & Intrepreting Facebook Prophet Model

Chapter 5: Bonus lesson

Lecture 1: Bonus Lecture