Time-Series-Analysis-and-Forecasting

This repository contains everything you need to become proficient in Time Series Analysis and Forecasting

Complete Cheat Sheet for Tech Interviews - How to prepare efficiently

I took theses Projects Based Courses to Build Industry aligned Data Science and ML skills

Part 1 - How to solve Any ML System Design Problem

---

Day 1: Introduction to Time Series Analysis and Forecasting

Statistics

Statistics Basics

Advanced Statistics

Visualizing Time Series

Introduction to date and time

Importing time series data

Cleaning and preparing time series data

Visualizing the datasets

Timestamps

Periods

Shifting and lags

Resampling

Using date_range

Using to_datetime

Finance

Percent change

Stock returns

Time Series Comparison

SQL

Set Theory Operations, Stored Procedures and CASE statements in SQL

Wildcards, Aggregation and Sequences in SQL

Subqueries, Group by, order by and Having clauses in SQL and Analytical Functions

Window Functions, Grouping Sets and Constraints in SQL

Common Expression Table, UNNEST Clause, SQL vs NoSQL Databases

Triggers, Pivot and Cursors in SQL

Views, Indexes and Auto Increment in SQL

Query optimizations, Performance tuning in SQL

Charts

OHLC charts

Candlestick charts

Mean Square Convergence

Autocorrelation

Partial Autocorrelation

Trends

Error

Seasonality

Noise

White Noise

Random Walk

Stationarity

Q-Statistic

Time series decomposition

Modelling using statsmodels

AR models

MA models

ARMA models

ARIMA models

VAR models

State space methods

SARIMA models

Projects - 10

Time Series Analysis Projects ( 5 projects)

Time Series Forecasting Projects( 4 projects)

Demand Forecasting Project