Latest videos
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This Random Forest Algorithm tutorial will explain how the Random Forest algorithm works. By the end of this video, you will be able to understand what is Machine Learning, what is a Classification problem, applications of Random Forest, why we need Random Forest, how it works with simple examples, and how to implement a Random Forest algorithm in Machine Learning. This video is a part of the Machine Learning with Python Series.
Below are the topics covered in this Random Forest Algorithm tutorial:
00:00 - 02:08 Applications of Random Forest Algorithm
02:08 - 02:59 Agenda
02:59 - 04:07 Classification Algorithms
04:07 - 05:36 Why Random Forest?
05:36 - 06:40 What is Random Forest Algorithm?
06:40 - 11:01 What is a Decision Tree?
11:01 - 14:18 How does the Decision Tree algorithm work?
14:18 - 17:27 How does the Random Forest algorithm work?
17:27 - 45:34 Use Case - IRIS Flower Analysis using Python
Dataset Link - https://drive.google.com/drive..../folders/1MQ5Nnhj3gs
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What is Random Forest Algorithm?
The random forest algorithm is a supervised machine learning algorithm that takes randomly selected data and creates different decision trees. It then makes the collection of votes from trees to decide the class of the test object.
You can also go through the Slides here: https://goo.gl/K8T4tW
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To gain in-depth knowledge of Machine Learning, check our Machine Learning certification training course: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=Random-Forest-Tutorial-eM4uJ6XGnSM&utm_medium=Tutorials&utm_source=youtube
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About Simplilearn Machine Learning course:
A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars. This Machine Learning course prepares engineers, data scientists and other professionals with the knowledge and hands-on skills required for certification and job competency in Machine Learning.
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What skills will you learn from this Machine Learning course?
By the end of this Machine Learning course, you will be able to:
1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
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Who should take this Machine Learning Training Course?
We recommend this Machine Learning training course for the following professionals in particular:
1. Developers aspiring to be a data scientist or Machine Learning engineer
2. Information architects who want to gain expertise in Machine Learning algorithms
3. Analytics professionals who want to work in Machine Learning or artificial intelligence
4. Graduates looking to build a career in data science and Machine Learning
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🔥 Data Analyst Master's Program (Discount Code: YTBE15): https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=AdvanceExcel-h_UBLvhszko&utm_medium=DescriptionFF&utm_source=youtube
🔥 Professional Certificate Program In Data Analytics: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=AdvanceExcel-h_UBLvhszko&utm_medium=DescriptionFF&utm_source=youtube
This video is based on the Advanced Excel Tutorial for 2022. This Advanced Excel Course will cover the major fundamentals of Excel and its Advanced Excel concepts as well. This updated tutorial is dedicatedly designed and organized to help both beginners and experienced to update and enhance their advanced excel skill set.
The video covers the following topics
00:00 Introduction to Advanced Excel Tutorial for 2022
This part of the Advanced Excel Tutorial for 2022 covers a basic introduction to all the Advanced excel Topics Covered on the session
01:45 Excel Basic Knowledge
This part of the Advanced Excel Tutorial for 2022 will cover the Excel fundamentals for beginners
18:27 Goal Seek In Excel
This part of the Advanced Excel Tutorial for 2022 will explain the goal seek formulas and methods
23:03 Excel Lookup Tutorial
This part of the Advanced Excel Tutorial for 2022 will cover the VLookUp, HLookUp, and XLookUp in Excel
1:03:23 Slicers In Excel
This part of the Advanced Excel Tutorial for 2022 will cover the Slicers in Excel concepts and implementation
1:07:46 Excel Budget Template
This part of the Advanced Excel Tutorial for 2022 will help you create a Budget worksheet for your needs
1:14:50 Excel MIS Report
This part of the Advanced Excel Tutorial for 2022 will guide you to create an MIS Report
1:25:01 Excel Macros and VBA
This part of the Advanced Excel Tutorial for 2022 will teach you Excel Macros and VBA Fundamentals
2:27:15 Regression in Excel
This part of the Advanced Excel Tutorial for 2022 will help you learn Regression in Excel
2:53:51 Excel Power query
This part of the Advanced Excel Tutorial for 2022 will help you learn Excel Power Query
3:51:12 Pivot Tables in Excel
This part of the Advanced Excel Tutorial for 2022 will help you learn the Pivot tables in Excel
4:19:12 Excel Interview Questions
This part of the Advanced Excel Tutorial for 2022 will guide you through the most frequently asked Excel Interview Questions
🔥Free Business Analytics with Excel Course with completion certificate- https://www.simplilearn.com/learn-business-analytics-excel-fundamentals-skillup?utm_campaign=AdvanceExcel&utm_medium=Description&utm_source=youtube
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What is Microsoft Excel?
Excel is one of the best applications available on the market for creating spreadsheets to crunch numbers and dashboard reports as well as storing and administering data.
About Business Analytics Certification Course with Excel:
Boost your analytics career with powerful new Microsoft® Excel skills by taking this Business Analytics course, which includes training on Power BI. These two commonly used tools, combined with official business analytics certification, will put you on the path of a successful career.
Key Features of this Business Analytics Certification Course with Excel program:
✅ 12 hours of self-paced video
✅ Two hands-on industry-based projects on healthcare and e-commerce
✅ Includes training on business intelligence using Power BI
✅ Eight practical exercises
✅ Lifetime access to self-paced learning
Eligibility for this Business Analytics Certification Course with Excel program:
Business Analytics with Excel is the best course for both beginners and experienced professionals who are inexperienced or have recently entered the analytics field. This Business Analytics online course is beneficial for IT developers and testers, data analysts, junior data scientists, analytics professionals, BI and reporting professionals, project managers, students, and professionals working with data in any industry.
🔥Free Business Analytics with Excel Course with completion certificate - https://www.simplilearn.com/learn-business-analytics-excel-fundamentals-skillup?utm_campaign=AdvanceExcel&utm_medium=Description&utm_source=youtube
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This video on AWS Full Course will train you in AWS from beginners to advanced level. Watch the complete video to learn more!!
🔥Post Graduate Program In Cloud Computing: https://www.simplilearn.com/pgp-cloud-computing-certification-training-course?utm_campaign=AWSFCJan112022&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥Caltech Cloud Computing Bootcamp (US Only): https://www.simplilearn.com/cloud-computing-bootcamp-certification-course?utm_campaign=AWSFCJan112022&utm_medium=DescriptionFirstFold&utm_source=youtube
AWS tutorial for beginners will help you understand what is AWS (Amazon Web Services), how did AWS become so successful, the services that AWS provides (AWS EC2, Amazon Elastic Beanstalk, Amazon Lightsail, Amazon Lambda, Amazon S3, Amazon redshift, amazon ECS, amazon route 53, amazon vpc, AWS CloudFront, AWS sagemaker, AWS autoscaling, and AWS elastic beanstalk), the future of AWS and a demonstration on deploying, in the end, we’ll also be discussing AWS certification and AWS interview questions for beginners and advanced level. This AWS tutorial video is suitable for those individuals who aspire to become AWS Certified Solution Architects. However, let move ahead and understand what AWS actually is and what are the services that AWS provides to an organization.
The below topics are covered in this AWS tutorial:
What is AWS?
AWS Tutorial
AWS EC2
AWS Lambda
AWS S3
AWS IAM
AWS cloud formation
AWS ECS
AWS route 53
AWS Elastic beanstalk
AWS VPC
AWS SageMaker
AWS CloudFront
AWS Autoscaling
0AWS Redshift
AWS vs Azure
AWS vs GCP
AWS vs Azure vs GCP
Kubernetes on AWS
How to become a solution architect
AWS Interview questions -Part 1
AWS Interview questions -Part 2
#AWSTutorial #AWSFullCourse #AWSCourse #AWSForBeginners #AWS #AWSCourseForBeginners#AWSTraining #AWSTutorialForBeginners #AWSCloudPractitioner2021#AWSFullTutorial #AWSInterviewQuestions #Simplilearn
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What is AWS?
Amazon web service is an online platform that provides scalable and cost-effective cloud computing solutions. AWS is a broadly adopted cloud platform that offers several on-demand operations like compute power, database storage, content delivery, etc., to help corporates scale and grow.
AWS Services
Amazon has many services for cloud applications. Let us list down a few key services of the AWS ecosystem and a brief description of how developers use them in their business.
Amazon has a list of services:
✅Compute service
✅Storage
✅Database
✅Networking and delivery of content
✅Security tools
✅Developer tools
✅Management tools
About AWS Solutions Architect Certification Training Course:
AWS certification training is essential for every aspiring AWS certified solutions architect. You will master AWS architectural principles and services such as IAM, VPC, EC2, EBS and elevate your career to the cloud, and beyond with this AWS solutions architect course. The AWS Solutions Architect Certification training will enable you to design, plan and scale AWS implementations utilizing over 70 cloud computing services. The AWS course is aligned with the latest AWS exam featuring Amazon designated best practices.
What does an AWS solutions architect do?
An AWS solutions architect is a professional who designs cost-effective, available, scalable, and fault-tolerant systems on AWS. They identify and define the technical requirements for an AWS-based application and decide which AWS services meet those requirements. They have a clear understanding of the basic architectural principles of building on the AWS Cloud platform.
AWS Training Course Key Features
✅ 16 live demos of AWS services
✅ 3 simulation exams (60 questions each)
✅ 3 real-time industry projects with integrated labs
✅ 100% money-back guarantee
✅ AWS select technology partner
✅ 8X higher live interaction with live online classes by industry experts
Learn more at: https://www.simplilearn.com/cloud-computing/aws-solution-architect-associate-training?utm_campaign=AWSFCJan112022&utm_medium=Description&utm_source=youtube
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In this full course video on Big data, you will learn about Big data, Hadoop, and Spark. First, we will look into a big data tutorial, the challenges in big data, and how Hadoop solves these challenges. You will learn how to install Hadoop, then understand the various components of Hadoop that are HDFS, MapReduce, and YARN. HDFS will teach you how to store big data, and MapReduce will show you how to process this big data. In YARN, you will learn how cluster resource management works. In addition to these components, you will also look into the Hadoop ecosystem, which consists of Hive, Pig, Sqoop, and HBase.
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Below topics are explained in this Big Data full course video:
1.Evolution of Big Data
2.Why Big Data?
3.What is Big Data?
4.5 V's of Big Data
5.Challenges of Big Data
6.Hadoop as a Solution
7.Cloudera Hadoop Installation
8.Hadoop Ecosystem
9.Hadoop Distributed File System
10.MapReduce Analogy
11.What is MApReduce?
12.Parallel Processing-MapReduce
13.MapReduce Workflow
14.MapReduce Architecture
15.Hadoop 1.0(MR 1)
16.Limitations of Hadoop 1.0(MR 1)
17.Need for YARN
18.What is YARN?
19.YARN Components
20.YARN Components-Node MAnager
21.What is Sqoop?
22.Sqoop Features
23.Sqoop Architecture
24.What is Apache Spark?
25.History of Apache Spark
26.Apache Spark Installation on Windows
27.Apache Spark Installation on ubuntu
28.YARN
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#BigData #BigDataAnalytics #BigDataTutorial #BigDataFullCourse #BigDataAnalyticsForBeginners #BigDataTutorial #LearnHadoop #HadoopTraining #HadoopCertification #BigDataBasics #SimplilearnHadoop #Simplilearn
Simplilearn’s Big Data Hadoop training course lets you master the concepts of the Hadoop framework and prepares you for Cloudera’s CCA175 Big Data certification. With our online Hadoop training, you’ll learn how the components of the Hadoop ecosystem, such as Hadoop 3.4, Yarn, MapReduce, HDFS, Pig, Impala, HBase, Flume, Apache Spark, etc. fit in with the Big Data processing lifecycle. Implement real-life projects in banking, telecommunication, social media, insurance, and e-commerce on CloudLab.
What is this Big Data Hadoop training course about?
The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab.
What are the course objectives?
This course will enable you to:
1. Understand the different components of the Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management
3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts
4. Get an overview of Sqoop and Flume and describe how to ingest data using them
Who should take up this Big Data and Hadoop Certification Training Course?
Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals:
1. Software Developers and Architects
2. Analytics Professionals
3. Senior IT professionals
4. Testing and Mainframe professionals
Learn more at: https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=BigData-Full-Course18thFeb2022&utm_medium=Description&utm_source=youtube
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Affiliate Marketing | Affiliate Marketing For Beginners | What Is Affiliate Marketing? | Simplilearn
🔥Digital Marketing Specialist Program (Discount Code - YTBE15): https://www.simplilearn.com/advanced-digital-marketing-certification-training-course?utm_campaign=AffiliateMarketing-x6EbMfFICQU&utm_medium=DescriptionFF&utm_source=youtube
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This Affiliate Marketing Tutorial will go into the details about what is affiliate marketing, the different components involved in the process, the process of affiliate marketing, some tips for success in affiliate marketing and a live demo using the affiliate network Conversion Junction (also known as CJ). The tutorial also goes into detail about the role of each of the components of the affiliate marketing process. The live demo focuses on how CJ helps the user make the most of the insights, data and the options it provides. Now, let’s get started with understanding Affiliate Marketing:
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The below topics are explained in this Affiliate Marketing tutorial:
1) What is Affiliate Marketing?
2) What is the process of Affiliate Marketing?
3) What are the tips for success in Affiliate Marketing?
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📚 For a more detailed understanding on Digital Marketing, do visit: https://www.simplilearn.com/what-is-affiliate-marketing-article?&utm_medium=Description&utm_source=youtube
You will find in-depth content on Digital Marketing. Browse further to discover similar resources on related topics, made available to you as a learning path. Enjoy top-quality learning for FREE.
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#AffiliateMarketing #AffiliateMarketingTutorialForBeginners #WhatIsAffiliateMarketing #DigitalMarketing #DigitalMarketingCourse #SimplilearnDMCA #SimplilearnDigitalMarketing #Simplilearn
About Simplilearn Digital Marketing course:
The Digital Marketing Certified Associate (DMCA) course is designed to help you master the essential disciplines in digital marketing, including search engine optimization (SEO), social media, pay-per-click (PPC), conversion optimization, web analytics, content marketing, email and mobile marketing.
Why learn Digital Marketing?
Businesses and recruiters prefer marketing professionals with genuine knowledge, skills and experience verified by a certification that is accepted across industries. Continuous learning for any working professional is not only important for keeping themselves up to date with the current market trends, but it also helps them expand their array of skill set and become more flexible in the workplace.
What skills will you learn from this Digital Marketing course?
This course will enable you to:
1. Gain an in-depth understanding of the various digital marketing disciplines: search engine optimization (SEO), social media marketing, pay-per-click (PPC), website conversion rate optimization, web analytics, content marketing, mobile marketing, email marketing, programmatic buying, marketing automation and digital marketing strategy
2. Master digital marketing execution tools: Google Analytics, Google Ads, Facebook Marketing, Twitter Advertising, and YouTube Marketing
3. Become a virtual digital marketing manager for an e-commerce company with Mimic Pro simulations included in our course. Practice SEO, SEM, Website Conversion Rate Optimization, email marketing and more.
Who should take this Digital Marketing course?
Anyone who is looking to further his or her career in digital marketing should take this course, especially those seeking leadership positions. Any of these roles can benefit from the Digital Marketing Specialist training:
1. Marketing Managers
2. Digital Marketing Specialists
3. Marketing or Sales Professionals
4. Management, Engineering, Business, or Communication Graduates
5. Entrepreneurs or Business Owners
Learn more at https://www.simplilearn.com/digital-marketing/digital-marketing-certified-associate-training?utm_campaign=Affiliate-Marketing-x6EbMfFICQU&utm_medium=Tutorials&utm_source=youtube
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This video will help you to learn :
How email works with your other channels to bring them up
How to create a loyal, engaged customer
Email terminology
how to avoid getting on to Spam lists
How to grow and maintain the list
Learn the critical components of an email campaign
Managing a email campaign and its measurements
Challenges with email marketing
Email marketing vs. Other channels
How email marketing has changed
#DigitalMarketing #SimplilearnDigitalMarketing #DigitalMarketingCourse #DigitalMarketingCertification #DigitalMarketingCertifiedAssociate #EmailMarketing
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For More Digital Marketing Tutorial videos, check our Digital Marketing tutorial for beginners playlist: https://www.youtube.com/watch?v=xA_yMYN19ug&list=PLEiEAq2VkUULa5aOQmO_al2VVmhC-eqeI
Digital Marketing Articles: https://www.simplilearn.com/resources/digital-marketing?utm_campaign=IntroductionToEmailMarketingFoundation&utm_medium=DescriptionFirstFold&utm_source=youtube
To Gain in-depth knowledge of Email Marketing and other Digital Marketing concepts, check out Advanced Web Analytics Course: http://www.simplilearn.com/digital-marketing/email-marketing-basics-training?utm_campaign=IntroductionToEmailMarketingFoundation&utm_medium=DescriptionFirstFold&utm_source=youtube
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What are the Digital Marketing Certitied Associate Course objectives?
Whether you’re looking for a new career in digital marketing or just wish to add digital to your existing skillset, the DMCA course will prepare you to become a complete digital marketer and make you industry ready on day one. You will acquire the right skills through extensive hands-on practice on a wide range of simulations and projects that will enable you to launch and execute your own digital marketing campaigns. The Digital Marketing course will prepare you for the most sought-after certification exams such as OMCA (OMCP), Facebook Marketing, YouTube Marketing, Google AdWords, Google Analytics, and Twitter Marketing.
This course will enable you to:
1. Gain an in-depth understanding of the various digital marketing disciplines: search engine optimization (SEO), social media marketing, pay-per-click (PPC), website conversion rate optimization, web analytics, content marketing, mobile marketing, email marketing, programmatic buying, marketing automation and digital marketing strategy
2. Master digital marketing execution tools: Google Analytics, Google AdWords, Facebook Marketing, Twitter Advertising, and YouTube Marketing
3. Gain real-life experience by completing projects using Google Analytics, Google AdWords, Facebook Marketing, and YouTube Marketing
4. Become an expert in Twitter advertising—we developed the Twitter advertising module in this course in partnership with Twitter
5. Prepare for top digital marketing certification exams such as OMCA, Google Analytics, Google AdWords, Facebook Marketing, and YouTube Marketing certifications
What are the projects and tools included in this Digital Marketing course?
Digital marketing training is incomplete without practical learning. In this course, you will work on four live projects of 10 hours each that will provide you hands-on digital marketing experience. The projects will put you in charge of a website, and you’ll use various digital marketing tools to execute your digital marketing strategy.
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This Post Graduate Program, designed in collaboration with the Caltech CTME, will prepare you for a career in Cloud, building your expertise in Microsoft Azure, AWS, and GCP. You will learn to master the architectural principles and develop skills to transform yourself into a Cloud Professional.
This Post Graduate Program in Cloud Computing will help you become an expert in designing, planning, and scaling cloud implementation. It will enable you to master the core skill sets required to design and deploy dynamically scalable and reliable applications on three of the top Cloud platform providers; Microsoft Azure, AWS, and Google Cloud Platform.
Key Features:
1. Caltech CTME Post Graduate Certification
2. Receive 30 CEUs from Caltech CTME
3. Online Convocation by Caltech CTME Program Director
4. Master Classes from Caltech CTME instructor
5. Caltech CTME Circle Membership
6. Physical Certificate from Caltech CTME (on request)
7. Get noticed by the top hiring companies
8. 300+ Hours of Blended Learning
9. 30+ Hands-On Projects and Integrated Labs
10. Capstone Project in 4 Domains
Get Certified in Cloud Architect Master's Program: https://www.simplilearn.com/pgp-cloud-computing-certification-training-course?utm_campaign=PGPCloudComputing&utm_medium=Description&utm_source=youtube
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✅ Course Objectives:
The Cloud Architect Certification program is designed to make you an expert in cloud applications and architecture. It will enable you to master the core skillsets required for designing and deploying dynamically scalable, highly available, fault-tolerant, and reliable applications on three of the top Cloud platform providers — Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform. The program will give you an in-depth understanding of cloud services such as AWS Cloud formation, Azure resource manager, EC2, S3, Route53, VPC, Azure App Services, GCP, and more. You’ll acquire the knowledge and skills for passing cloud architect certifications such as AWS Architect and Azure Architect.
This program consists of a structured learning path designed by leading industry experts. You will have access to 60+ live instructor-led online classrooms, 100+ hours of self-paced video content, simulation exams, a community moderated by experts, and other resources that ensure you follow the optimal path to your desired role of Cloud Architect. The course includes 16+ real-world industry projects that let you work your way through the technical challenges associated with cloud computing.
✅ Why Become A Cloud Architect?
With the increasing focus on cloud computing and infrastructure over the last several years, cloud architects are in great demand worldwide. Many organizations have moved to cloud platforms for better scalability, mobility, and security, and cloud solutions architects are among the highest-paid professionals in the IT industry.
According to a study by Goldman Sachs, cloud computing is one of the top three initiatives planned by IT executives as they make cloud infrastructure an integral part of their organizations. According to Forbes, enterprise IT architects with cloud computing expertise earn a median salary of $137,957.
✅ Tools Covered
- Amazon EC2
- App Services
- AWS Lambda
- Azure Container Service
- Virtual Machines
- Amazon DynamoDB
- SQL
- More ...
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This Post Graduate Program in Cyber Security is designed to equip you with the skills required to become an expert in the rapidly growing field of Cyber Security. This cyber security course aims to help you stay abreast of the latest cyber security trends.
✅ Features of Post Graduate Program in Cyber Security
- Simplilearn Post Graduate Certificate
- Masterclasses from MIT Faculty
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- 8X higher interaction in live online classes conducted by industry experts
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- Industry case studies in cyber security
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- Capstone project in 3 domains
- 25+ hands-on projects
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✅ Eligibility Criteria
- A bachelor's degree with an average of 50% or higher marks
- May have a non-programming background
- Are not required to have prior work experience
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Accelerate your career with this Artificial Intelligence Course in conjunction with IBM. Industry-relevant AI courses, including Data Science with Python, Machine Learning, Deep Learning, and NLP, feature unique hackathons and Ask Me Anything sessions hosted by IBM. Get job-ready AI certification training with Capstone projects, practical labs, live sessions, and hands-on projects.
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✅ About Artificial Intelligence Engineer Master's Program
The Artificial Intelligence course, created in partnership with IBM, introduces students to blended learning and prepares them to be specialists in AI and Data Science. IBM, located in Armonk, New York, is a significant cognitive services and integrated cloud solution firm that provides many technology and consulting solutions. IBM invests $6 billion in research & development every year and has won five Nobel prizes, nine US National Medals of Technology, five US National Medals of Science, six Turing Awards, and ten US Inventors Hall of Fame inductions. IBM is a leader in AI and Machine Learning technology vertical for 2021. This AI course will prepare students for careers in Artificial Intelligence and Data Analytics.
✅ What skills are covered in this Artificial Intelligence course?
You will be able to demonstrate the following ability after completing this Artificial Intelligence certification training:
- Learn Artificial Intelligence's concept, purpose, domain breadth, phases, implementations, and impacts.
- Create real-world projects, games, prediction models, logic constraint satisfaction concerns, experience and understanding systems, probabilistic models, and agent decision-making skills using your artificial intelligent machines and models.
- Learn basic programming features and technicalities, such as data types, tuples, lists, arrays, basic operators, and functions.
- Learn how to develop your Python programs and use the Jupyter notebook to analyze fundamental data.
- Learn about data wrangling, data exploration, data visualization, hypothesis creation, and testing procedures in Data Science.
- Use the NumPy and SciPy packages for high-level mathematical and technical computing and the Pandas package for data analysis.
- Learn about supervised and unsupervised learning methods such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline, recommendation engines, and time series modeling.
- Understand TensorFlow's core principles, functions, operations, and the execution pipeline.
- CNN, artificial neural networks, training deep RNN networks, and high-level NLP interfaces are among the advanced issues in AI.
✅ Tools Covered
- NumPy
- Pandas
- SciPy
- Apache Spark
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- Python
- R Programming
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In this video on "What Is Jira?" we will cover the basic steps to learn Jira Tool as for new users to learn Jira Training with Jira Tutorial For Beginners.JIRA is an Agile project management tool used for Project Management, Bug Tracking, Issue Tracking, and Automate Workflow. It is also the solution that provides concepts and solutions to the entire team and the client, allowing for collaboration and transparency. This helps gather contextual data or information regarding the task, track the progress, report and tackle all the bugs, and release it when approved.
Below are the topics we are going to discuss in this JIRA Tutorial For Beginners:
00:00 Introduction
00:31 Question
00:49 Agenda
01:10 What Is Jira?
01:41 How Jira Works?
02:27 Jira Components and its Uses
04:19 Jira Concept
05:33 Features
08:33 Tutorial
What is Jira?
It is an incident management tool and a platform-independent tool that can run on any operating system and also is a multilingual tool. If we look into the work process of Jira, then it permits us to organize the task and other priorities, constructing a well-organized workflow in different management. The Workflow includes review and approval steps and multiple resolution possibilities.
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✅ About Professional Certification In Product Management Program
The Professional Certification in Product Management by SP Jain School Of Global Management prepares you to become a Product Manager via an exhaustive curriculum covering all aspects of product management. This program educates you on the latest industry trends, advancements, and related industry applications from Top Product Experts via Live Sessions.
✅ Features of Professional Certification In Product Management Program
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Hands-on Learning Experience by solving real-life product problems via projects on Facebook, Tesla, Instagram
- Product Manager toolkit training- JIRA, Mixpanel, Google Analytics & Balsamiq.
- Hands-on learning via Harvard Business Publishing Case Studies and Assignments
- Live Masterclasses delivered by Top Product Industry Experts from Amazon, Microsoft, Adobe & VMware
- SP Jain Global Executive Alumni Membership.
- 8X higher engagement in live online classes by SP Jain's top global faculties.
- 10% Exclusive Alumni discount on SP Jain Global Executive Ed Programs
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✅ Eligibility Criteria
- 2+ years of work experience preferred
- A bachelor's degree
- May have a non-product Management Background
Get the Simplilearn app: https://simpli.app.link/OlbFAhqMqgb
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This Javascript Tutorial video will help you become proficient in JavaScript Programming Language. This Javascript Full Course video will cover all the important aspects of Javascript from Basics to advance. At the end of the video, you will have a strong understanding of the concepts required to build complex JS applications. Towards the end of this Javascript Tutorial for Beginners, we will work on Javascript Projects Hands-on Demo.
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Introduction to JavaScript:
JavaScript is a scripting language that is used to create and manage dynamic web pages, basically anything that moves on your screen without requiring you to refresh your browser. It can be anything from animated graphics to an automatically generated Facebook timeline. When most people get interested in web development, they start with good old HTML and CSS. From there, they move on to JavaScript, which makes sense, because, these three elements together form the backbone of web development. HTML is the structure of your page like the headers, the body text, any images you want to include. It basically defines the contents of a web page.
CSS controls how that page looks (it’s what you’ll use to customize fonts, background colors, etc.). JavaScript is the third element. Once you’ve created your structure (HTML) and your aesthetic vibe (CSS), JavaScript makes your site dynamic (automatically updateable).
To learn more about JavaScript, check our Full Stack Web Developer program: https://www.simplilearn.com/full-stack-web-developer-mean-stack-certification-training?utm_campaign=09May2023LGLoopEvening1&utm_medium=Description&utm_source=youtube
About Full Stack Web Developer - MEAN Stack Course:
This program will advance your career as a MEAN stack developer. You’ll learn top skills such as MongoDB, Express.js, Angular, and Node.js (“MEAN”), plus GIT, HTML, CSS, and JavaScript to build and deploy interactive applications and services. This Full Stack MEAN Developer program provides complete knowledge of software development and testing technologies such as JavaScript, Node.js, Angular, Docker, and Protractor. You'll build an end-to-end application, test and deploy code, and store data using MongoDB.
Key Features:
✅ Comprehensive Blended Learning program
✅ 270 hours of in-depth training
✅ 150 hours of instructor-led training
✅120 hours of self-paced learning
✅ 20 + in-demand tools and skills
✅ 10 lesson-end & 4 phase-end projects
✅Choose from 4 industry-aligned capstone projects
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SEO Tutorial For Beginners | Learn SEO Step By Step | SEO Tutorial | Advanced SEO 2020 | Simplilearn
🔥Digital Marketing Specialist Program (Discount Code - YTBE15): https://www.simplilearn.com/advanced-digital-marketing-certification-training-course?utm_campaign=SEO-Tutorial-For-Beginners-Qs0_Qu22v4M&utm_medium=Descriptionff&utm_source=youtube
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This SEO tutorial video will help you understand what is SEO, why we need SEO, what is keyword research, how does a search engine work, on-page SEO, off-page SEO, Google algorithms, types of SEO, what is an ideal website architecture, what is local SEO, how to measure your SEO performance, and at the end there will be a short quiz to test your understanding on SEO. SEO, or search engine optimization, is the work that we do to make our websites more prominent in the major search engines, such as Google, Yahoo, and Bing. The more prominent our web pages are in the search engines, the more visitors and searchers will be exposed to our business information.
Below topics are explained in this SEO tutorial:
1. Why SEO? (0:55)
2. What is SEO? (05:35)
3. What is keyword research? (07:24)
4. How does a search engine work? (15:11)
5. On-page SEO (17:56)
6. Off-page SEO (01:05:30)
7. What are Google algorithms? (01:33:00)
8. Types of SEO (01:40:49)
9. Website architecture (01:44:39)
10. Local SEO (01:52:02)
11. How to measure your SEO performance (01:59:42)
12. Quiz (02:16:31)
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About Simplilearn Digital Marketing course:
The Digital Marketing Certified Associate (DMCA) course is designed to help you master the essential disciplines in digital marketing, including search engine optimization (SEO), social media, pay-per-click (PPC), conversion optimization, web analytics, content marketing, email and mobile marketing.
Why learn Digital Marketing?
Businesses and recruiters prefer marketing professionals with genuine knowledge, skills and experience verified by a certification that is accepted across industries. Continuous learning for any working professional is not only important for keeping themselves up to date with the current market trends, but it also helps them expand their array of skill set and become more flexible in the workplace.
What skills will you learn from this Digital Marketing course?
This course will enable you to:
1. Gain an in-depth understanding of the various digital marketing disciplines: search engine optimization (SEO), social media marketing, pay-per-click (PPC), website conversion rate optimization, web analytics, content marketing, mobile marketing, email marketing, programmatic buying, marketing automation and digital marketing strategy
2. Master digital marketing execution tools: Google Analytics, Google Ads, Facebook Marketing, Twitter Advertising, and YouTube Marketing
3. Become a virtual digital marketing manager for an e-commerce company with Mimic Pro simulations included in our course. Practice SEO, SEM, Website Conversion Rate Optimization, email marketing and more.
4. Gain real-life experience by completing projects using Google Analytics, Google Ads, Facebook Marketing, and YouTube Marketing
5 Create the right marketing messages tailored for the right audiences
Who should take this Digital Marketing course?
1. Marketing Managers
2. Digital Marketing Specialists
3. Marketing or Sales Professionals
4. Management, Engineering, Business, or Communication Graduates
5. Entrepreneurs or Business Owners
6. Marketing Consultant
Learn more at: https://www.simplilearn.com/digital-marketing/digital-marketing-certified-associate-training?utm_campaign=SEO-Tutorial-For-Beginners-Qs0_Qu22v4M&utm_medium=Tutorials&utm_source=youtube
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This IBM-sponsored Data Science course includes unique hackathons, masterclasses, webinars, and Ask-Me-Anything sessions. The online training will give you hands-on experience with technologies like R, Python, Machine Learning, Tableau, Hadoop, and Spark. Improve your knowledge with this Data Science course and live interaction with other practitioners and Machine Learning Engineers.
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✅ About Course
This Data Science course, in collaboration with IBM, accelerates your career in Data Science and provides you with the world-class training and skills required to become successful in this field. The course offers extensive training on the most in-demand Data Science and Machine Learning skills with hands-on exposure to key tools and technologies, including Python, R, Tableau, and concepts of Machine Learning. Become a Data Scientist by diving deep into the nuances of data interpretation, mastering technologies like Machine Learning, and mastering powerful programming skills to take your career in Data Science to the next level.
This joint partnership between Simplilearn and IBM introduces students to an integrated blended learning approach, making them experts in data science. This Data Science course, in collaboration with IBM, will help students become industry-ready for top data scientist job roles.
✅ Skills Covered
- Gain an in-depth understanding of data structure and data manipulation
- Understand and use linear and non-linear regression models and classification techniques for data analysis
- Obtain an in-depth understanding of supervised and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline
- Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave
- Gain expertise in mathematical computing using the NumPy and Scikit-Learn packages
- Master the concepts of recommendation engine and time series modeling and gain practical mastery over principles, algorithms, and applications of machine learning
- Learn to analyze data using Tableau and become proficient in building interactive dashboards
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🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688
✅ Eligibility Criteria
This Data Science course is suitable for recent graduates and experienced professionals willing to start a career in data science.
There are no specific eligibility requirements to take this Data Science training.
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🔥 Backend Development Full Course 2023 | Learn Backend From Scratch | Node JS | Django | Simplilearn
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In this comprehensive video on “Backend Development Full Course 2023,” we will delve into the world of backend development and cover a wide range of concepts, tools, and frameworks that are essential for building robust and scalable web applications. Whether you're a beginner looking to kickstart your programming journey or an experienced developer aiming to expand your skill set, this course provides a solid foundation in backend development. We will be covering Node js, express js which is a framework of node. After that we will cover Django, SQL, and MongoDB. we will also see what is github and in last there will be some important backend interview questions and answers.
00:00:00 - Backend Development Full Course 2023
00:05:00 - What is Backend Development?
00:12:29 - Frontend vs backend development
00:35:54 - Node js Architecture
00:40:06 - What is NPM?
00:57:22 - Node Js Demo
01:15:17 - Express js
03:01:23 - User registration form using node and express js
03:37:30 - Python Django
05:30:08 - SQL
05:57:48 - MongoDB
07:43:37 - What is Github?
08:00:53 - Interview Questions
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About Caltech Coding Bootcamp
This Caltech Coding Bootcamp will help you master both front-end and back-end Java technologies, starting with the basics and progressing to the advanced aspects of Full Stack Web Development. In this Online Coding boot camp, you will learn Angular, Spring Boot, web services, JSPs, and MongoDB to help you launch your career as a full-stack developer.
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- Are not required to have prior work experience
- At least 18 years and have a High School Diploma or equivalent
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The Google Cloud Platform Tutorial video will cover all the important concepts of Google Cloud Platform. Google Cloud Platform is a set of cloud computing services provided by Google that runs on the same infrastructure that Google uses for its end-user products like YouTube, Gmail, and more. In this video, we will be looking into what is GCP? GCP tutorial, AWS vs GCP, GCP web hosting, Google cloud ML, GCP fundamentals, Google Cloud Platform Fundamentals (CP100A) Certification Training.
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Simplilearn's Google Cloud Platform (GCP) Architect certification program will empower you with the skills needed to advance your career in cloud architecture and become a certified Google Professional Cloud Architect. The course covers IAM, Networking, cloud storage, and much more. Simplilearn’s online Google Cloud Platform (GCP) Architect certification course introduces you to the flexible infrastructure and platform services provided by Google Cloud Platform. In this course, you will learn how to analyze and deploy infrastructure components such as networks, storage systems, and application services.
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Pre-requisites:
1. Knowledge of Google Cloud Platform fundamentals or any cloud platform is beneficial.
2. Basic knowledge of command-line tools and Linux operating system environments.
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