Get $1 credit for every $25 spent!

The 2021 Cloud Computing Architect Certification Bundle

Ending In:
Add to Cart - $29.99
Add to Cart ($29.99)
$1,800
98% off
wishlist
Courses
9
Lessons
319
Enrolled
149

What's Included

Product Details

Access
Lifetime
Content
2.0 hours
Lessons
31

Cloud Computing for Beginners: Infrastructure as a Service

Learn the Technology, Concept & Market Use Cases of Infrastructure as a Service Model in Public Cloud Computing

By Idan Gabrieli | in Online Courses

This training is about the IaaS (Infrastructure as a Service) model. The IaaS model provided by large cloud providers is helping companies to transform their private IT infrastructure into a utility service. Reduce the footprint of enterprise applications sitting in private data centers and leverage the capabilities in a public cloud environment. You’re gonna review the key terms in cloud computing to establish a clear understanding of the big picture, and then zoom on the IaaS model. You’ll learn what are the building blocks, what are the typical use cases, advantages as well as disadvantages, pricing models, and more!

New course!

  • Access 31 lectures & 1 hours of content 24/7
  • Gain a fundamental understanding of cloud computing
  • Know more about private, public, hybrid, & multi clouds
  • Learn what the four service models are: SaaS, PaaS, IaaS, & FaaS
  • Learn more about computing, storage, & networking
Idan Gabrieli | Presales Manager | Entrepreneur | Cloud & AI Expert
4.5/5 Instructor Rating: ★ ★ ★ ★

Idan Gabrieli is an experience solution engineer manager (B.Sc. and MBA) with a comprehensive technical background in a variety of technologies. Idan is working with hundreds of business companies worldwide while helping to transform business challenges, requirements, and opportunities into practical use cases.

As part of his passion for sharing years of experience and knowledge, he created multiple online courses about a variety of topics while teaching thousands of students worldwide.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Certificate of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: beginner

Requirements

  • Any device with basic specifications

Course Outline

  • Your First Program
  • Getting Started
    • Welcome! - 3:27
    • Our Learning Objectives - 2:49
  • Cloud Computing - Terminology Overview
    • Welcome to the World of Cloud Computing - 4:53
    • Private vs Public - 3:04
    • Hybrid-cloud and Multi-cloud - 3:33
    • Hyperscale Cloud Service Providers - 4:14
    • Cloud Service Models - 3:20
    • SaaS - Software as a Service - 3:23
    • IaaS – Infrastructure as a Service - 2:53
    • PaaS – Platform as a Service - 4:07
    • FaaS – Function as a Service - 2:23
    • Demo - AWS, Azure, GCP - 8:46
    • Quiz #1 – Cloud Deployment and Service Types
  • Virtualization Technologies
    • Introduction - 0:59
    • Underutilized Physical Servers - 5:19
    • Virtualization with Virtual Machines - 8:19
    • Vertical and Horizontal Scaling - 6:17
    • Microservices and Cloud-native Apps - 6:42
    • Virtualization with Containers - 6:19
    • The Benefits of Containers - 5:38
    • Quiz #2 – Virtualization Technologies
  • Introduction to Infrastructure as a Service (IaaS)
    • Introduction and Overview - 1:55
    • IaaS - Transform IT to Utility - 4:42
    • Compute, Storage and Networking - 10:06
    • Demo - IaaS Solution with Microsoft Azure - 11:33
    • Pricing Models - 3:03
    • Main Advantages - 6:01
    • And also Disadvantages - 5:21
    • Typical Market Use Cases - 5:20
    • Quiz #3 – IaaS Model
  • Course Summary
    • Let’s Recap and Thank You! - 5:12

View Full Curriculum


Access
Lifetime
Content
2.0 hours
Lessons
41

Getting Started with Cloud Computing

Start Your Journey In the Cloud Computing Revolution

By Idan Gabrieli | in Online Courses

Cloud Computing is becoming mainstream in the IT world as a growing number of companies around the globe transform their use of cloud-based services. This evolution is leading to revolution as private as well as public cloud services gain huge market momentum and continue to innovate to make the spread of data more seamless. This entry-level course will get you up to speed with the cloud revolution and show you how to get involved.

4.4/5 average rating: ★ ★ ★ ★

  • Access 41 lectures & 2 hours of content 24//7
  • Explore the evolution of cloud technology
  • Discover the Five Characteristics of Cloud Computing
  • Discuss different cloud service models
  • Learn about different cloud deployment models
Idan Gabrieli | Presales Manager | Entrepreneur | Cloud & AI Expert
4.5/5 Instructor Rating: ★ ★ ★ ★

Idan Gabrieli is an experience solution engineer manager (B.Sc. and MBA) with a comprehensive technical background in a variety of technologies. Idan is working with hundreds of business companies worldwide while helping to transform business challenges, requirements, and opportunities into practical use cases.

As part of his passion for sharing years of experience and knowledge, he created multiple online courses about a variety of topics while teaching thousands of students worldwide.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Certificate of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: beginner

Requirements

  • Any device with basic specifications

Course Outline

  • Getting Started
    • Course Introduction - 2:41
  • The Evolution into the Cloud Revolution
    • Overview - 1:05
    • Traditional IT - Plan, Buy and Operate the Data Center - 9:46
    • The First Wave started with SaaS - 3:57
    • The Digital Transformation - 8:57
    • The Birth of Hyper-scale Public Data Centers - 6:15
    • A Catalyst for Innovation - 4:26
    • The Rise of Artificial Intelligent - 2:52
  • The Five Characteristics of Cloud Computing
    • Overview - 1:55
    • #1 - On Demand Self-Service - 5:19
    • #2 - Broad Network Access - 1:55
    • #3 - Resource Pooling - 4:00
    • #4 - Rapid Elasticity - 6:33
    • #5 - Measured Service - 4:11
    • Five Characteristics of Cloud Computing - Quiz
  • Cloud Service Models
    • Overview - 2:25
    • The Cloud Computing Stack - 2:27
    • IaaS - Infrastructure as a Service - 4:17
    • PaaS - Platform as a Service - 3:56
    • SaaS - Software as a Service - 3:39
    • Cloud Service Models - Quiz
  • Cloud Deployment Models
    • Overview - 2:50
    • Public Cloud - Definition - 4:58
    • Public Cloud - Global Infrastructure - 2:34
    • Public Cloud - Products and Services - 9:49
    • Private Cloud - Definition - 3:55
    • Private Cloud - Key Benefits - 9:19
    • Hybrid Cloud - 4:22
    • Community Cloud - 1:41
    • Cloud Computing Management Platforms - 2:27
    • Cloud Deployment Models - Quiz
  • So, Why using a Public Cloud Service ?
    • Overview - 1:06
    • #1 - Easy and Dynamic Scalability - 2:01
    • #2 - Economies of Scale - 2:47
    • #3 - Capital and Operational Costs - 4:58
    • #4 - Increased Reliability - 1:53
    • #5 - Business Agility and Speed - 3:53
    • #6 - Yes, Security - 2:41
    • Benefits of Public Cloud Service - Quiz
  • Course Summary
    • Quick Recap - 10:36
    • What Next ? - 0:54

View Full Curriculum


Access
Lifetime
Content
5.0 hours
Lessons
47

Becoming a Cloud Expert: Microsoft Azure IaaS, Level 1

Plan, Deploy, & Monitor Virtual Machines

By Idan Gabrieli | in Online Courses

Cloud computing is one of the biggest technology revolutions in the IT industry spreading at the speed of light all over the world. More and more business companies are looking for ways to migrate their applications into the cloud or to build new web-scale applications from scratch atop a cloud infrastructure. The demand for more skilled people in the area of cloud computing is increasing every day across multiple industries. This course is the first important cornerstone for learning how to migrate applications into the cloud while using the Infrastructure As a Service model inside Microsoft Azure.

4.6/5 average rating: ★ ★ ★ ★

  • Access 47 lectures & 5 hours of content 24/7
  • Understand the building blocks of Azure Infrastructure as a Service
  • Create virtual networks, subnets, allocate private & public IP addressees
  • Plan & deploy windows and Linux virtual machines
  • Configure traffic filtering using security rules
  • Manage & attach virtual disks to VMs
  • Create & manage storage accounts
  • Configure users & access role assignments
  • Operate & monitor VMs ongoing tasks
Idan Gabrieli | Presales Manager | Entrepreneur | Cloud & AI Expert
4.5/5 Instructor Rating: ★ ★ ★ ★

Idan Gabrieli is an experience solution engineer manager (B.Sc. and MBA) with a comprehensive technical background in a variety of technologies. Idan is working with hundreds of business companies worldwide while helping to transform business challenges, requirements, and opportunities into practical use cases.

As part of his passion for sharing years of experience and knowledge, he created multiple online courses about a variety of topics while teaching thousands of students worldwide.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Certificate of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: beginner

Requirements

  • Any device with basic specifications

Access
Lifetime
Content
3.0 hours
Lessons
40

Becoming a Cloud Expert: Microsoft Azure IaaS, Level 2

Monitor the Performance, Health, & Availability of Azure Services and Your Cloud Resources

By Idan Gabrieli | in Online Courses

Microsoft Azure is one of the leading cloud providers (together with Amazon AWS and Google Cloud) with a global cloud infrastructure for providing public cloud services around the world. If you are looking to become a cloud expert then this training program is designed to help you build knowledge and experience about the subject of cloud computing while using the Azure cloud platform. In this course, you'll learn how to monitor and analyze the performance and health of Azure resources and applications as well as the Azure platform and services.

4.4/5 average rating: ★ ★ ★ ★

  • Access 40 lectures & 3 hours of content 24/7
  • Know the different types of telemetry data (metrics & logs) that can be collected
  • Build your own demo system in Azure (using Linux, Apache, MySqL, PHP)
  • Setup alert rules & action groups for creating an automation layer
  • Simulate traffic load on the demo system
  • Monitor the status of Azure platform & services
  • Analyze performance metrics in multiple layers
  • Manage the life cycle of Azure alerts
Idan Gabrieli | Presales Manager | Entrepreneur | Cloud & AI Expert
4.5/5 Instructor Rating: ★ ★ ★ ★

Idan Gabrieli is an experience solution engineer manager (B.Sc. and MBA) with a comprehensive technical background in a variety of technologies. Idan is working with hundreds of business companies worldwide while helping to transform business challenges, requirements, and opportunities into practical use cases.

As part of his passion for sharing years of experience and knowledge, he created multiple online courses about a variety of topics while teaching thousands of students worldwide.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Certificate of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: intermediate

Requirements

  • Any device with basic specifications

Course Outline

  • Getting Started
    • Welcome - 3:43
    • Course Objectives and Structure - 4:04
    • Why - 6:03
    • What - 5:13
    • How - 3:27
  • Telemetry Data Collection - Types and Sources
    • Section 2 - Overview - 1:15
    • Data Sources - Collection from Multiple Layers - 5:55
    • Metrics and Logs - 5:05
    • Data Type #1 - Azure Subscription-Level Activity Log - 4:24
    • Data Type #2 - Azure Resources Diagnostics Logs - 1:36
    • Data Type #3 - Azure Resources Metrics - 3:43
    • Data Type #4 - Guest OS Metrics and Logs - 2:02
    • Data Type #5 - Applications Metrics and Logs - 2:18
    • Test Your Knowledge - Telemetry Data
  • Preparing our Demo System "Playground"
    • Section 03 - Overview - 4:43
    • Step 1 – Back-End MySQL DB Server - 14:03
    • Step 2 - Front-End Apache Web Server - 11:15
    • Step 3 - Log Analytics Workspace - 2:51
    • Step 4 - Diagnostics Settings - 4:23
    • Step 5 - Azure Monitor for VMs - 2:59
    • Step 6 - Application Insights - 7:25
  • Effective Monitoring is all about Automation
    • Section 4 - Overview - 4:24
    • The Concept of Alerts and Actions - 4:56
    • How to Create an Alert Rule - 9:16
    • Configure Our Rules and Actions - 12:02
    • Simulating a Load on the Web Server - 4:46
    • Managing Alerts - 5:28
    • Test Your Knowledge - Automation
  • Monitoring the Azure Platform
    • Section 5 - Overview - 3:01
    • Azure Global Status - 3:46
    • Personalized Service Health - 9:28
  • Monitoring our Azure Solution
    • Section 6 - Overview - 2:26
    • Review the Status, Health and Activity Logs - 3:17
    • Metrics Explorer - 5:12
    • Log Analytics - 15:12
    • Azure Monitor for VMs - 9:38
    • Azure Advisor - 1:51
    • Application Insights - 9:45
    • Test Your Knowledge - Monitoring our Azure Solution
  • Course Summary
    • A Quick Recap - 8:31

View Full Curriculum


Access
Lifetime
Content
1.0 hours
Lessons
27

Becoming a Cloud Expert: Microsoft Azure IaaS, Level 3

Design a Resilient & Scalable Cloud Solution Using Traffic Load Balancers, Availability Sets, and Scale Sets

By Idan Gabrieli | in Online Courses

If you are looking to become a cloud expert, then this training program is designed to help you build knowledge and experience about the subject of cloud computing while using the Azure cloud platform. In level 3, you'll learn how to design a system that will be more resilient against failures and more flexible to unpredictable capacity demand.

4.5/5 average rating: ★ ★ ★ ★

  • Access 27 lectures & 1 hour of content 24/7
  • Discuss traffic load balancing
  • Learn about Azure availability sets
  • Explore Azure VM scale sets
Idan Gabrieli | Presales Manager | Entrepreneur | Cloud & AI Expert
4.5/5 Instructor Rating: ★ ★ ★ ★

Idan Gabrieli is an experience solution engineer manager (B.Sc. and MBA) with a comprehensive technical background in a variety of technologies. Idan is working with hundreds of business companies worldwide while helping to transform business challenges, requirements, and opportunities into practical use cases.

As part of his passion for sharing years of experience and knowledge, he created multiple online courses about a variety of topics while teaching thousands of students worldwide.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Certificate of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: intermediate

Requirements

  • Any device with basic specifications

Course Outline

  • Getting Started
    • Course Promo - Level 3 - 3:02
    • Welcome - 2:19
    • Course Objectives and Structure - 2:14
  • Traffic Load Balancing
    • Section Overview - 1:14
    • What is a Load Balancer - 5:33
    • Network and Application LBs - 3:37
    • Public and Internal LBs - 3:02
    • Azure Load Balancer - 4:14
    • Demo - Setup a Web Servers Cluster - 10:56
    • Demo - Azure Load Balancer - 9:44
    • Check Your Knowledge - Traffic Load Balancing
  • Azure Availability Sets
    • Section Overview - 1:57
    • Resiliency and Availability - 4:46
    • Azure Redundancy Options - 5:39
    • Availability Sets - 8:25
    • Demo - Availability Sets - 6:53
    • Check Your Knowledge - Azure Availability Sets
  • Azure VMs Scale Sets
    • Section Overview - 1:31
    • Performance Optimization and Capacity Scaling - 3:02
    • Vertical and Horizontal Scaling - 9:15
    • Automatic Scaling - 2:07
    • What is Azure Scale Set - 2:32
    • Demo - Web Server as Source VM Image - 6:33
    • Demo - Create and Configure a Scale Set - 5:40
    • Demo - Testing the Scale Set - 7:42
    • Check Your Knowledge - Azure Scale Set
  • Course Summary
    • Course Summary - 5:53

View Full Curriculum


Access
Lifetime
Content
1.0 hours
Lessons
25

A Beginner's Guide to a Microservices Architecture

Learn the Microservices overall Architecture, Building Blocks, Key Advantages, Challenges & Industry Case Studies

By Idan Gabrieli | in Online Courses

Microservices is a new innovative development style, already being used by companies like Netflix, Facebook, Amazon, and others. Microservices are the building blocks for creating cloud-native applications, and therefore we will see more companies following this direction. This training is designed to provide you a solid theoretical understanding of the microservices concept.

4.5/5 average ratomg: ★ ★ ★ ★

  • Access 25 lectures & 1 hour of content 24/7
  • Know the challenges of the traditional monolithic software development
  • Learn what the main building blocks of a single microservice are
  • Understand the concept of microservices architecture
  • Learn more about cloud-native application, key advantages & implementation challenges
  • Use Netflix as an industry case study
Idan Gabrieli | Presales Manager | Entrepreneur | Cloud & AI Expert
4.5/5 Instructor Rating: ★ ★ ★ ★

Idan Gabrieli is an experience solution engineer manager (B.Sc. and MBA) with a comprehensive technical background in a variety of technologies. Idan is working with hundreds of business companies worldwide while helping to transform business challenges, requirements, and opportunities into practical use cases.

As part of his passion for sharing years of experience and knowledge, he created multiple online courses about a variety of topics while teaching thousands of students worldwide.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Certificate of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: beginner

Requirements

  • General understanding of the main cloud computing models (SaaS, PaaS, IaaS)

Course Outline

  • Getting Started
    • Welcome! - 3:43
    • Course Objectives and Structure - 2:52
  • Monolithic Applications
    • Overview - 2:32
    • What is a Monolithic Application? - 8:39
    • #1 – Complex Release Cycles - 4:22
    • #2 - Scaling the Team - 3:35
    • #3 - Scaling the System - 4:11
    • Summary - 2:11
    • Check your Knowledge – Monolithic Applications
  • The Microservices Revolution
    • What are Micro-services? - 5:08
    • Looking inside a Micro-service - 11:10
    • Check your Knowledge – A Micro-service Building Blocks
  • The Concept of a Microservices Architecture (MSA)
    • Introduction - 1:34
    • Small Size and Loosely Coupled - 5:42
    • Organised around Business Capabilities - 5:07
    • Managed as Products - 4:12
    • Smart Endpoints and Dumb Pipes - 8:48
    • Check your Knowledge – MSA
  • What are the Key Benefits of Microservices?
    • #1 - Independently Developed and Deployed - 4:46
    • #2 - Frequent and Faster Delivery - 6:47
    • #3 - The Best Tool for the Job - 3:11
    • #4 - More Granular Scaling - 6:02
    • And also few Challenges - 6:30
  • Course Summary
    • Netflix - Industry Case Study - 6:15
    • Quick Recap and Thank You! - 3:43

View Full Curriculum


Access
Lifetime
Content
2.0 hours
Lessons
28

Machine Learning for Absolute Beginners: Level 1

Learn the Basics of Machine Learning & AI Even with No Prior Knowledge

By Idan Gabrieli | in Online Courses

The concept of Artificial Intelligence and Machine Learning can be a little bit intimidating for beginners, and specifically for people without a substantial background in complex math and programming. This training is a soft starting point to walk you through the fundamental theoretical concepts. In this course, you're going to open the mysterious AI/ML black-box, and take a look inside, get more familiar with the terms being used in the industry. It is going to a super interesting story. It is important to mention that there are no specific prerequisites for starting this training, and it is designed for absolute beginners.

4.3/5 average rating: ★ ★ ★ ★

  • Access 28 lectures & 2 hours of content 24/7
  • Understand the difference between Applied & Generalized AI
  • Learn the process of training a model
  • Learn more about Machine Learning & Deep Learning
  • Understand clustering & dimension reduction
Idan Gabrieli | Presales Manager | Entrepreneur | Cloud & AI Expert
4.5/5 Instructor Rating: ★ ★ ★ ★

Idan Gabrieli is an experience solution engineer manager (B.Sc. and MBA) with a comprehensive technical background in a variety of technologies. Idan is working with hundreds of business companies worldwide while helping to transform business challenges, requirements, and opportunities into practical use cases.

As part of his passion for sharing years of experience and knowledge, he created multiple online courses about a variety of topics while teaching thousands of students worldwide.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Certificate of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: beginner

Requirements

  • Any device with basic specifications

Course Outline

  • Getting Started
    • Welcome! - 6:38
  • The Rise of Artificial Intelligence
    • AI is Coming... - 4:22
    • Artificial Intelligence - 6:14
    • Classical Programming - 3:12
    • Machine Learning - 7:13
    • Deep Learning - 7:51
    • Applied vs. Generalized AI - 4:19
    • Why Now? - 9:21
    • Quick Check-Point #1
  • Introduction to Machine Learning
    • Overview - ML Terminology - 1:20
    • “Black Box” Metaphor - 3:04
    • Features and Labels - 5:09
    • Training a Model - 4:49
    • Aiming for Generalization - 11:23
    • Quick Check-Point #2
  • Classification of ML Systems
    • The Degree of Supervision - 1:44
    • #1 - Supervised Learning - 6:16
    • Classification - 5:23
    • Regression - 7:13
    • Quick Check-Point #3
    • #2 - Unsupervised Learning - 3:40
    • Clustering - 5:09
    • Dimension Reduction - 5:48
    • Quick Check-Point #4
    • #3 - Reinforcement Learning - 5:57
    • Decision-Making Agent - 7:04
    • Quick Check-Point #5
  • Course Summary
    • Let's Recap and Thank You! - 6:40

View Full Curriculum


Access
Lifetime
Content
3.0 hours
Lessons
41

Machine Learning for Absolute Beginners: Level 2

Learn the Python Fundamentals & Pandas Library for Data Science Projects

By Idan Gabrieli | in Online Courses

The Machine Learning for Absolute Beginners training program is designed for beginners looking to understand the theoretical side of machine learning and to enter the practical side of data science. The training is divided into multiple levels, and each level is covering a group of related topics for continuous step by step learning. The second course, as part of the training program, aims to help you start your practical journey. You will learn the Python fundamentals and the amazing Pandas data science library. Each section has a summary exercise as well as a complete solution to practice new knowledge.

4.5/5 average rating: ★ ★ ★ ★

  • Access 41 lectures & 3 hours of content 24/7
  • Develop data science projects using Python syntax
  • Use JupyterLab tool for Jupiter notebooks
  • Load large datasets from files using Pandas
  • Perform data analysis & exploration
  • Perform data cleaning & transformation as a pre-processing step before moving into machine learning algorithms
Idan Gabrieli | Presales Manager | Entrepreneur | Cloud & AI Expert
4.5/5 Instructor Rating: ★ ★ ★ ★

Idan Gabrieli is an experience solution engineer manager (B.Sc. and MBA) with a comprehensive technical background in a variety of technologies. Idan is working with hundreds of business companies worldwide while helping to transform business challenges, requirements, and opportunities into practical use cases.

As part of his passion for sharing years of experience and knowledge, he created multiple online courses about a variety of topics while teaching thousands of students worldwide.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Certificate of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: beginner

Requirements

  • Any device with basic specifications

Course Outline

  • Getting Started
    • Welcome! - 2:19
    • Anaconda Installation - 4:22
    • JupyterLab Overview - 3:51
    • Working with a Jupyter Notebook - 14:16
  • Python Fundamentals for Data Science
    • Overview - 2:52
    • Variables and Data Types - 7:22
    • Strings - 7:44
    • Lists - 9:44
    • IF and For-Loop Statements - 7:08
    • Functions - 7:59
    • Dictionaries - 11:01
    • Classes, Objects, Attributes, and Methods - 7:28
    • Importing Modules - 7:34
    • Libraries for Data Science Projects - 7:03
    • Exercise #1 - Python Fundamentals - 0:33
  • Introduction to the Pandas Library
    • Overview - 2:59
    • Series Data Structure (1D) - 12:41
    • DataFrame Data Structure (2D) - 4:52
    • Data Selection in a DataFrame - 14:55
    • Exercise #2 – Pandas Series and DataFrame - 0:34
  • Loading Data into a DataFrame
    • Overview - 1:14
    • Kaggle and the Titanic Dataset - 5:48
    • Loading a Tabular Data File - 6:35
    • Adjusting the Loading Parameters - 13:06
    • Preview the DataFrame - 8:14
    • Using Summary Statistics - 4:48
    • The Concept of Methods Chaining - 5:17
    • Sorting and Ranking - 3:13
    • Filtering - 4:53
    • Grouping - 4:52
    • Exercise #3 – Data Loading and Analysis - 0:34
  • Data Cleaning and Transformation
    • Overview - 2:07
    • Removing Columns or Rows - 4:17
    • Removing Duplicate Rows - 8:37
    • Renaming Column Labels - 3:32
    • Dropping Missing Values - 7:29
    • Filling-in Missing Values - 3:31
    • Creating Dummy Variables - 8:16
    • Exporting Data into Files - 2:39
    • Exercise #4 – Data Cleaning and Transformation - 0:27
  • Course Summary
    • Let's Recap and Thank You! - 2:45

View Full Curriculum


Access
Lifetime
Content
2.0 hours
Lessons
39

Machine Learning for Absolute Beginners: Level 3

Master Data Visualization & Perform Exploratory Data Analysis (EDA) Using Python, Matplotlib, and Seaborn

By Idan Gabrieli | in Online Courses

This third course as part of the training program aims to help you to perform Exploratory Data Analysis (EDA) by visualizing a dataset using a variety of charts. You will learn the fundamentals of data visualization in Python using the well-known Matplotlib and Seaborn data science libraries, including Matplotlib and Seaborn fundamentals, charts, and more. Each section has a summary exercise as well as a complete solution to practice new knowledge.

4.2/5 average rating: ★ ★ ★ ★

  • Access 39 lectures & 2 hours of content 24/7
  • Perform Exploratory Data Analysis (EDA) for any dataset
  • Visualize data using a variety of chart types
  • Learn Matplotlib & Seaborn fundamentals
  • Create bar, grouped bar, stacked bar & lollipop charts
  • Create pie, tree-map charts
  • Create line, area, stacked area charts
  • Create histogram, density, box-and-whisker & swarm charts
  • Create scatter, correlogram, heat-map, hexbin-map charts
Idan Gabrieli | Presales Manager | Entrepreneur | Cloud & AI Expert
4.5/5 Instructor Rating: ★ ★ ★ ★

Idan Gabrieli is an experience solution engineer manager (B.Sc. and MBA) with a comprehensive technical background in a variety of technologies. Idan is working with hundreds of business companies worldwide while helping to transform business challenges, requirements, and opportunities into practical use cases.

As part of his passion for sharing years of experience and knowledge, he created multiple online courses about a variety of topics while teaching thousands of students worldwide.

Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Certificate of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: beginner

Requirements

  • Any device with basic specifications

Course Outline

  • Getting Started with Level 3!
    • Welcome! - 3:21
    • Our Overall Learning Path - 2:13
    • How to Practice? - 2:31
  • Data Visualization with Matplotlib and Seaborn
    • Overview - 2:11
    • Matplotlib – Overview - 8:23
    • Matplotlib – Figures, Axes - 3:23
    • Matplotlib – The OO and Pyplot Interfaces - 6:59
    • Matplotlib – APIs Reference Review - 5:37
    • Seaborn – Overview - 3:50
    • Seaborn – Figure and Axes-level Functions - 6:21
    • Seaborn - Chart Customization - 4:44
    • Seaborn – API Reference Review - 4:00
    • A little bit about NumPy - 6:40
    • The Right Chart for the Right Job - 2:50
  • Ranking and Proportion Charts
    • Overview - 1:20
    • Bar Chart - 10:20
    • Grouped Bar Chart - 9:07
    • Lollipop Chart - 4:03
    • Stacked Bar Chart - 3:34
    • Pie Chart - 3:51
    • Treemap - 6:25
    • Optimizing Colors - 6:32
    • Exercise 1 - Ranking and Proportion Charts
  • Trend and Distribution Charts
    • Overview - 1:56
    • Line Chart - 6:59
    • Area Chart - 1:58
    • Stacked Area Chart - 3:43
    • Histogram Chart - 6:43
    • Density Curve Chart - 5:38
    • Box-and-Whisker Chart - 9:30
    • Bee-swarm Chart - 2:30
    • Exercise 2 – Trend and Distribution Charts
  • Correlation Charts
    • Overview - 2:41
    • Scatter Chart - 10:26
    • Correlogram - 3:29
    • Heat-Map - 8:34
    • Hexbin-Map - 4:21
    • Exercise 3 – Correlation Charts
  • Course Summary
    • Let’s Recap and Thank You! - 2:55

View Full Curriculum



Terms

  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.