Exploratory Data Analysis for Machine Learning

IBM via Coursera

Intermediate

Online

5 Weeks

particular

details

                                    Medium of instructions
                                    English

                                    Mode of learning
                                    Self study

                                    Mode of Delivery
                                    Video and Text Based

Module 1: A Brief History of Modern AI and its Applications

Videos

Course Introduction
Introduction to Artificial Intelligence and Machine Learning
Machine Learning and Deep Learning
Machine Learning and Deep Learning - Part 1
Machine Learning and Deep Learning - Part 2
History of AI
History of Machine Learning and Deep Learning
Modern AI
Applications
Machine Learning Workflow

Readings

Course Prerequisites
Review

Assignments

Practice Quiz: Artificial Intelligence and Machine Learning
Practice Quiz: Modern AI Applications and Workflows
Graded Quiz: Module 1 - Modern AI and its Applications

Discussion prompt

Optional: Say hi or reach out for help

Module 2: Retrieving and Cleaning Data

Videos

Retrieving Data from CSV and JSON Files
Retrieving Data from Databases, APIs, and the Cloud
[Optional] Lab Solution: Reading Data Jupyter Notebook - Part A
[Optional]Lab Solution: Reading in Database Files - Part B
Data Cleaning
Handling Missing Values and Outliers
Handling Missing Values and Outliers using Residuals

Readings

[Optional] Download Assets for Lab: Reading Data in Database Files - Part A
[Optional] Download Assets for Lab: Reading Data in Jupyter Notebook - Part B
Summary/Review

Assignments

Practice Quiz: Retrieving Data
Practice Quiz: Data Cleaning
Graded Quiz: Module 2 - Retrieving Data and Cleaning Data

App items

Demo Lab: Reading Data in Database Files - Part A
Demo Lab: Reading Data in Jupyter Notebook - Part B
Practice Lab: Data Cleaning

Module 3: Exploratory Data Analysis and Feature Engineering

Videos

Introduction to Exploratory Data Analysis (EDA)
EDA with Visualization
Grouping Data for EDA
[Optional]Solution: EDA Notebook - Part 1
[Optional]Solution: EDA Notebook - Part 2
[Optional]Solution: EDA Notebook - Part 3
[Optional]Solution: EDA Notebook - Part 4
Feature Engineering and Variable Transformation - Background
Variable Transformation
Feature Encoding
Feature Scaling
Common Variable Transformations in Python
[Optional] Solution: Feature Engineering Lab - Part 1
[Optional] Solution: Feature Engineering Lab - Part 2
[Optional] Solution: Feature Engineering Lab - Part 3

Readings

[Optional] Download Assets for Lab: Exploratory Data Analysis Lab
[Optional] Download Assets for Lab: Feature Engineering Demo
Summary/Review

Assignments

Practice Quiz: Exploratory Data Analysis
Practice Quiz: Feature Engineering and Variable Transformation
Graded Quiz: Module 3 - Exploratory Data Analysis and Feature Engineering

App items

Demo Lab: Exploratory Data Analysis
Practice Lab: Exploratory Data Analysis
Demo Lab: Feature Engineering
Practice Lab: Feature Engineering

Module 4: Inferential Statistics and Hypothesis Testing

Videos

Estimation and Inference - Introduction
Estimation and Inference - Example
Estimation and Inference - Parametric vs. Non-Parametric
Estimation and Inference - Commonly Used Distributions
Frequentist vs. Bayesian Statistics
Introduction to Hypothesis
Hypothesis Testing Example
Bayesian Interpretation of Hypothesis Testing Example
Type 1 vs Type 2 Error
Type 1 vs Type 2 Error: Examples
Hypothesis Testing Terminology
Significance Level and P-Values
Significance Level and P-Values and the F Statistic
[Optional] Hypothesis Testing Demo - Part 1
[Optional] Hypothesis Testing Demo - Part 2
Correlation vs Causation

Readings

[Optional] Download Assets for Lab: Hypothesis Testing Demo
Summary/Review

Assignments

Practice Quiz: Estimation and Inference, and Hypothesis Testing
Practice Quiz: Hypothesis Testing
Graded Quiz: Module 4 - Inferential Statistics and Hypothesis Testing

App items

Demo Lab: Hypothesis Testing
Practice Lab: Hypothesis Testing

Discussion prompt

Optional Brainstorming

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Certification	Fee Amount in INR
Exploratory Data Analysis for Machine Learning (Audit)	Free
Exploratory Data Analysis for Machine Learning - 1 month	Rs. 3,277 /- per month
Exploratory Data Analysis for Machine Learning - 3 months	Rs. 2,185 /- per month
Exploratory Data Analysis for Machine Learning- 6 months	Rs. 1,639 /- per month

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Exploratory Data Analysis for Machine Learning

Intermediate

Online

5 Weeks

Quick Facts

Course and certificate fees

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The syllabus

Module 1: A Brief History of Modern AI and its Applications

Videos

Readings

Assignments

Discussion prompt

Module 2: Retrieving and Cleaning Data

Videos

Readings

Assignments

App items

Module 3: Exploratory Data Analysis and Feature Engineering

Videos

Readings

Assignments

App items

Module 4: Inferential Statistics and Hypothesis Testing

Videos

Readings

Assignments

App items

Discussion prompt

Instructors

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