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Business & Management
Forecasting and Modelling in Python
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3 students
10 hours 38 lessons
3 assessments
Syllabus
38 lessons · 3 tests
Introduction
1
How To Use Jupyter NoteBook For Data Analysis (Beginner Tutorial)
Video
2
Getting Started — Jupyter Notebook Setup
text
Basic Syntax and Programming in Python
3
building blocks of any programming language
Video
4
Data Types
Video
5
Python Data Types and Type Conversion
text
6
Arithmetic and Logical operators in Python
Video
7
Python Operators
text
8
Conditionals in Python
Video
9
Conditional Statements — if, elif, else
text
10
Loops is Python
Video
11
Loops — The `for` Loop
text
12
Loops continued
Video
13
Loops (Continued) — The `while` Loop
text
14
Mini Projects
Video
15
Mini Projects — Putting It All Together
text
16
Creating Functions in Python
Video
17
Functions in Python
text
18
Lists in Python
Video
19
Lists in Python
text
20
Dictionaries and Tuples in Python
text
Basic Data Handling and Visualization
21
Data File
text
22
Loading & Exploring Data with Pandas
text
23
Loading Data and Basic Operations
Video
25
Python Data Cleaning and Visualization
Video
26
Descriptive Statistics
text
27
Descriptives Statistics of Data in Python
Video
Forecasting and Modelling in Python
28
Forecasting Methods
text
29
Naive Forecasts
Video
30
Moving Average Forecasts
Video
31
Exponential Smoothing Methods
Video
32
Stationarity, ACF/PACF, and ARIMA
text
33
Stationarity and Unit Root
Video
34
ACF and PACF in Python
Video
35
ACF and PACF (Continued)
Video
36
Time Series Regression Analysis
text
37
Regression Models and Forecasts
Video
38
Model Comparison and Selection
text
Quiz 1: Python Basics
Assessment
Quiz 3: Forecasting Methods
Assessment
Quiz 2: Data Handling
Assessment
Your Instructor
Muhammad Asad Ali
PhD Management Sciences
Dr. M. Asad Ali is a distinguished academic and researcher currently serving as an Assistant Professor and Cluster Co-head for Quantitative and Research at SZABIST University. With a deep expertise in…
2 courses
3 students in this course
PKR 2,999
10 total hours
38 lessons
3 assessments
Business & Management
Certificate on completion