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This video, "Image Classification using CNN," is a project-based video by Simplilearn where you'll get to know how to create machine learning projects in python. In addition, you will also see how different python libraries like NumPy, TensorFlow, seaborn, matplotlib, and many more are used to create amazing projects for your portfolio. Below are the topics we are going to discuss in this machine-learning tutorial.

✅ 00:00 Image Classification using CNN
✅ 01:08 What is Image Classification?
✅ 01:40 What is CNN?
✅ 03:40 Hands-on Lab Demo

What is image classification?

The process of classifying an entire image is known as image classification. Images are anticipated to have just one class per image. Models for image classification take an image as input and produce a prediction of the class to which the image belongs.

We can utilize image classification models when we are not interested in individual instances of items with position information or their shape.

What is CNN?

Machine learning includes convolutional neural networks, also known as convnets or CNNs. It is a subset of the several artificial neural network models that are employed for diverse purposes and data sets. A CNN is a particular type of network design for deep learning algorithms that is utilized for tasks like image recognition and pixel data processing.

Numpy:

NumPy is a Python library used for working with arrays. It also has functions for working in the domain of linear algebra and matrices. It is an open-source project and you can use it freely. NumPy stands for Numerical Python.

Seaborn:

An open-source Python library based on matplotlib is called Seaborn. It is utilized for data exploration and data visualization. With data frames and the Pandas library, Seaborn functions with ease.

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✅ What is Deep Learning?

Deep learning can be defined as a subset of machine learning concerned with neural networks designed to imitate the human brain. Deep Learning Engineers are offered a great salary. The average salary of a Deep Learning Engineer in the United States is $140,000 per year.

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✅ About Deep Learning Course

This Deep Learning course with TensorFlow certification training is developed by industry leaders and aligned with the latest best practices. You’ll master deep learning concepts and models using Keras and TensorFlow frameworks through this TensorFlow course. Learn to implement deep learning algorithms with our TensorFlow training and prepare for a career as a Deep Learning Engineer. Achieve our deep learning certification and gain a competitive edge over your peers in your next interview.

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This full course video on Neural Network tutorial will help you understand what a neural network is, how it works, and what are the different types of neural networks. You will learn how each neuron processes data, what are activation functions, and how a neuron fires. You will get an idea about backpropagation and gradient descent algorithms. You will have a look at the convolution neural network and how it identifies objects in an image. Finally, you will understand about the recurrent neural networks and lstm in detail. Now, let's get started with learning neural networks.

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Dataset Link - https://drive.google.com/drive..../folders/11T76B8UkTg

Below topics are explained in this Neural Network Full Course:
1. Animated Video 00:52
2. What is A Neural Network 06:35
3. What is Deep Learning 07:40
4. What is Artificial Neural Network 09:00
5. How Does Neural Network Works 10:37
6. Advantages of Neural Network 13:39
7. Applications of Neural Network 14:59
8. Future of Neural Network 17:03
9. How Does Neural Network Works 19:10
10. Types of Artificial Neural Network 29:27
11. Use Case-Problem Statement 34:57
12. Use Case-Implementation 36:17
13. Backpropagation & Gradient Descent 01:06:00
14. Loss Fubction 01:10:26
15. Gradient Descent 01:11:26
16. Backpropagation 01:13:07
17. Convolutional Neural Network 01:17:54
18. How Image recognition Works 01:17:58
19. Introduction to CNN 01:20:25
20. What is Convolutional Neural Network 01:20:51
21. How CNN recognize Images 01:25:34
22. Layers in Convolutional Neural Network 01:26:19
23. Use Case implementation using CNN 01:39:21
24. What is a Neural Network 02:21:24
25. Popular Neural Network 02:23:08
26. Why Recurrent Neural Network 02:24:19
27. Applications of Recurrent Neural Network 02:25:32
28. how does a RNN works 02:28:42
29. vanishing And Exploding Gradient Problem 02:31:02
30. Long short term Memory 02:35:54
31. use case implementation of LSTM 02:44:32

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Simplilearn’s Deep Learning course will transform you into an expert in Deep Learning techniques using TensorFlow, the open-source software library designed to conduct machine learning & deep neural network research. With our Deep Learning course, you'll master Deep Learning and TensorFlow concepts, learn to implement algorithms, build artificial neural networks and traverse layers of data abstraction to understand the power of data and prepare you for your new role as Deep Learning scientist.

You can gain in-depth knowledge of Deep Learning by taking our Deep Learning certification training course. With Simplilearn’s Deep Learning course, you will prepare for a career as a Deep Learning engineer as you master concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms. Those who complete the course will be able to:
1. Understand the concepts of TensorFlow, its main functions, operations and the execution pipeline
2. Implement Deep Learning algorithms, understand neural networks and traverse the layers of data abstraction which will empower you to understand data like never before
3. Master and comprehend advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks and high-level interfaces

Learn more at: https://www.simplilearn.com/deep-learning-course-with-tensorflow-training?utm_campaign=Neural-Network-Full-Course-ob1yS9g-Zcs&utm_medium=Tutorials&utm_source=youtube

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This Software testing tutorial covers the basics of software testing and the automation tools used for software testing. We'll look at the test-driven development approaches with JUnit5, and understand the behavior-driven development approach with Cucumber.

Below topics are explained in this software testing tutorial:
1. Learning Objectives - 0:00
2. Software Testing Overview - 00:31
3. Testing Levels Approaches and Automation Tools - 10:02
4. Test-Driven Development Approaches and JUnit5 - 27:21
5. Test-Driven Development Approach with JUnit5 - 36:30
6. Behavior-Driven Development Principles Cucumber and Its Applications - 51:32
7. Behavior-Driven Development Approach with Cucumber - 57:42
8. Key Takeaways - 01:30:53

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Simplilearn's DevOps Certification Training Course will prepare you for a career in DevOps, the fast-growing field that bridges the gap between software developers and operations. You’ll become an expert in the principles of continuous development and deployment, automation of configuration management, inter-team collaboration, and IT service agility, using modern DevOps tools such as Git, Docker, Jenkins, Puppet, and Nagios. DevOps jobs are highly paid and in great demand, so start on your path today.

Why learn DevOps?
Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery, and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet, and Nagios in a practical, hands-on, and interactive approach. The Devops training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skill set to master in the cloud age.

After completing the DevOps training course you will achieve hands-on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this Devops training course are:
An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:
1. Source code management tools
2. Build tools
3. Test automation tools
4. Containerization through Docker
5. Configuration management tools
6. Monitoring tools

Who should take this course?
DevOps career opportunities are thriving worldwide. DevOps was featured as one of the 11 best jobs in America for 2017, according to CBS News, and data from Payscale.com shows that DevOps Managers earn as much as $122,234 per year, with DevOps engineers making as much as $151,461. DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.
1. This DevOps training course will be of benefit to the following professional roles:
2. Software Developers
3. Technical Project Managers
4. Architects
5. Operations Support
6. Deployment engineers
7. IT managers
8. Development managers

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This video on Tell Me About Yourself - Best Interview Questions And Answers will acquaint you with all the important tips to formulate your strategy to ace your interview rounds. This video on Interview Tips 2021 will help you in structuring the answer for tell me about yourself question during your interview. Here you will also come across certain tips and tricks that will help you to provide a polished answer. So, let's get started!
The topics covered in this video on Tell Me About Yourself are:

00:00 Introduction
01:00 Why is this question asked?
01:36 Structuring the answer
04:40 Tips and Tricks to polish the answer
06:15 Conclusion

"Tell me about yourself", the most frequently used icebreaker statement during an interview or any formal meeting with newcomers. Every candidate has the answer to this question because it's the most straightforward question anyone could ask. However, your response to this can be ambiguous if you haven't prepared for it beforehand.

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Being asked such an easy question, the candidate still gets knocked out, not because they don't have an answer, but because they can't figure out which part of their life should be highlighted. Before learning how to answer, think about why the interviewer would ask you this particular question? Well, it is an icebreaker statement or a way to get you to transition into it. While answering, you may reveal some of the facts of your life that will help them carry the conversation forward and because they want to see if you are fit for the job.

✅First, you must start with a greeting, be sure of wishing the interviewer in the beginning and then introducing yourself. For example, Good Morning, I am xyz or Hello! Good afternoon, My name is abc, and then you can also say where are you from. Do greet according to the time of the interview. These are tiny things that we usually neglect but are very significant.

✅The next step is to add your basic educational details like your current or highest education and your college or university name.

✅In the next part of your answer, you can add your experience, if any. It can also be an internship that you have taken up in the past. For example, I worked as an intern in Cloud Computing, and I am certified by Google Cloud Services, or I worked as a Senior Analyst for xyz company for the last 2 years.

✅Finally, you can conclude by sharing your hobbies and interests. For example, I love travelling and reading or coding in my spare time. You can also mention your strengths and weaknesses if you wish to. Remember, weaknesses should never give a highly negative impression about you. Like: My strength is I am a team player, and I believe in collaborative development, and my weakness is that I am unable to say No to work.

Most importantly, be very concise about the details you provide, and the duration of your answer should be no longer than 90-120 seconds. Not to forget, delivering a closing statement is a must.

Few additional tips to help you polish your answer better:

✅Firstly, the answer that you give must be interrelated to the role you are applying for or to the company. To provide a satisfactory answer, go through the job description thoroughly and frame the statement before the actual interview.

✅Next, always keep it very professional, don't share too much of your details because it will be irrelevant to the interviewer.

✅While taking it professionally, you should also show how passionate you are about this particular job. Succinctly is appreciated; however, don't brag about the details mentioned in the resume. Be specific, be confident with every word you deliver, seeing the enthusiasm interviewer will know the spirit in you.

✅Prepare a small script, have some practice with the words and contents of the same because you might know the patterns of generally asked questions, and note down some points that you must mention in your answer.

✅Last but not the least, this is officially going to be your first impression of the company. Whatever the interviewer will grasp will be conveyed unbiased and unaltered to the higher authority.

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This PHP full course video covers all the key concepts of PHP, including an introduction to PHP, hello world in PHP, OOP in PHP, PHP with MySQL, PHP form validation, PHP get and post methods, PHP crud operations, PHP form login, PHP vs Python, PHP rest API, PHP registration for VSCode, PHP programming, along with most important PHP interview questions.

Introduction to PHP
PHP Using Xampp
Hello World in PHP
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PHP with MySQL tutorial
PHP Form Validation
PHP CRUD Operations
PHP Registration Form
PHP Login Form
PHP REST API
PHP Web Development Tutorial
PHP Ecommerce Website
PHP Interview Questions

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Introduction to PHP:
Despite being an old language, PHP still comprises 79.8% of all web applications that nearly translates to 20 million websites and 2 million web servers. According to zdnet.com, the demand for PHP developers has also massively increased to 834% since January 2020. PHP stands for Hypertext Preprocessor. It is an open-source server-side scripting language used for dynamic web development and can be embedded into HTML codes.

Some of the major benefits of using PHP are:
1. It is an open-source language. This means that PHP is freely available to use and implement.
2. It is an easy-to-learn language. Since it is very similar to how HTML codes are written, it is easy to understand and implement.
3. It is highly compatible since it can be integrated with multiple programming languages such as HTML, Javascript and supports different databases like MySQL, PostgreSQL, Oracle, etc.
4. It is platform-independent, which means that applications developed using PHP can run in any environment.
5. It has a large community of developers. Programming is all about helping and being helped; hence a large community would mean more help.
6. It is regularly updated and hence works well with the latest technologies.
7. Moving further, let's look at the differences between PHP and other server-side scripting languages.

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Full Stack Web Developer - MEAN Stack:
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
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✅ 10 lesson-end & 4 phase-end projects
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Learn more at : https://www.simplilearn.com/full-stack-web-developer-mean-stack-certification-training?utm_campaign=PHPandMySQLDec5&utm_medium=Description&utm_source=youtube

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&utm_medium=DescriptionFF&utm_source=youtube

Welcome to the 3rd Online Convocation for Caltech CTME on 20th October 2022 - Simplilearn 2022. Congratulations on your well-deserved success! Wishing you all great success ahead!

Chief Guest: Mr. Mike Ash, Director at Caltech CTME
Guest of honor from SimpliLearn: Mr. Kashyap Dalal

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This Data Science Full Course Video will provide you with a learning path of Data Science in a correct manner. Filled with lots of Practical Examples, this Latest Data Science Course of 2020.

Will cover all the below-given topics required for a complete Data Science Tutorial:
00:00:00 Introduction to Data Science Full Course
00:01:26 Data science basics and Data science application - Data Science Full Course
00:42:00 Top 5 data science libraries - Data Science Full Course
00:57:16 Linear regression - Data Science Full Course
01:25:34 Logistic regression - Data Science Full Course
02:19:32 Decision tree - Data Science Full Course
02:44:13 Random forest - Data Science Full Course
03:14:15 KNN - Data Science Full Course
04:04:25 Clustering - Data Science Full Course
06:19:28 Deep learning - Data Science Full Course
09:56:38 Data science interview questions - Data Science Full Course

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➡️ Advanced Certificate Program In Data Science
This Advanced Certificate Program in Data Science is designed for working professionals & covers job-critical topics like R, Python, Machine Learning techniques, NLP notions,& Data Visualization with Tableau, using an active learning model that includes live sessions from global professionals, practical labs, IBM Hackathons, corporate ready projects.

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IoT architecture determines the efficiency and working of an IoT set-up. The concept behind the Internet of Things is as powerful as it is complex, and in order for the elements in the IoT puzzle to mesh together perfectly, they all have to be part of a well-thought-out structure. This is where IoT architecture enters into play. In this video, we'll understand the complete IoT structure.
Below topics are explained in this IoT architecture tutorial:
1. IoT Architecture - 0:00
2. IoT device architecture - 0:22
3. IoT reference architecture - 1:22
4. IoT standardization and design considerations - 4:04
5. IoT in smart farming - 8:40

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What is IoT?
IoT is the interconnection of computing devices embedded in everyday objects, enabling them to send and receive data via the Internet.

Introduction to IoT Training Course:
If you’re new to the Internet of Things (IoT) and want to leverage it across business functions, then this introductory course is for you. You’ll get a glimpse into the ever-growing field of IoT, a technology that allows the intelligent exchange of data among a network of internet-connected objects.

Course Overview:
The primary objective of this Introduction to IoT Training Course is to give you insights into the bright and exciting future of the Internet of Things (IoT). The course will familiarize you with IoT concepts, their origin, impact, methodologies and tools, and how IoT is integrated into business applications to improve business results.

Key Features:
- 2 hours of in-depth eLearning
- Lifetime access to self-paced learning
- Industry-relevant course completion certificate
- Comprehensive industry-relevant use cases and case studies

Eligibility:
This IoT course caters to CXO level and middle management professionals who want to enhance business value and ROI leveraging IoT. Simplilearn’s Introduction to IoT Training Course is ideal for anyone who wants to learn the fundamentals of IoT or pursue a career in this growing field.

Learn more at: https://www.simplilearn.com/iot-certification-training-course?utm_campaign=IoT-Architecture-KeaeuUcw02Q&utm_medium=Description&utm_source=youtube

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This video on What is Product Management will help you understand the Basics of Product management. Why Product Management is trending, and what are the differences between Product Management and Project Management. This video will also explain the various steps involved in Product Management and how you can become a Product Manager at a reputed Company.

This video will cover the following.

00:00 Introduction to What Is Product Management?
01:22 What Is Product Management
02:58 Why Product Management is Important?
03:24 Areas of Product Management
07:16 Life-Cycle Product Management
08:48 Project Management V/S Product Management
09:57 Skills to Thrive in Product Management
11:02 Companies Hiring Product Managers

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AboutProfessional Certification In Product Management:
Get professionally certified in Product Management from SP Jain and be part of SP Jain's elite Global Alumni network of top Product professionals across the Globe. This program involves 4 months of 100% live rigorous training from SP Jain's top faculties spread across Australia, Dubai, India etc.

Key Features:
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ SP Jain Global School of Management certification.
✅ SP Jain Global Executive Alumni Membership.
✅ Real world application via 3 Capstones Projects curated by top Product professionals.
✅ Hands on learning via Harvard Case Studies and Assignments
✅ 8X higher engagement in live online classes by SP Jain top global faculties.
✅ Product Manager toolkit training- JIRA, Mixpanel, Google Analytics & Balsamiq.
✅ Masterclasses delivered by VMware's Top Industry Experts

Skills Covered:
✅ Product Strategy
✅ Product Market fit
✅ Product Ideation
✅ Rapid Prototyping
✅ Product Lifecycle Management
✅ Product Roadmapping and Prioritization
✅ Critical Thinking
✅ More...


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In this video, we are going to discuss *Machine Learning Roadmap 2023* which contains topics to be covered for a machine learning engineer, what is the role of a machine learning engineer, and the salary of a machine learning engineer which will help you to understand the steps you need to take up to become Machine Learning Engineer.

✅ 00:00 - Machine Learning Roadmap 2023

✅ 00:35 - What is Machine Learning?
This phase of the video contains the definition of machine learning.

✅ 01:07 - Computer Science for Machine Learning
This part of the video contains the role of computer science for a machine learning engineer.

✅ 01:30 - Programming languages and algorithms for Machine Learning
This part of the video has details about the programming language needed for a machine learning engineer.

✅02:58 - Mathematics and Statistics
This phase of the video is given why the fundamentals of maths and statistics are needed for a machine learning engineer.

✅03:30 - Conclusion

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Machine learning, in general, is a branch of artificial intelligence that uses data patterns to generate judgments or predictions. It allows computers to adapt to repeating processes and results based on past performance without requiring them to be explicitly programmed in advance, as with standard algorithms.

In simple English, it basically allows robots to learn from, predict, and adjust to prior behavior. It is a method of generating artificial intelligence without needing to predetermine all the guidelines and procedures. Now that we have learned the basics of machine learning, it's time to focus on subjects that will help you to become a machine learning expert.

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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 knowledge and hands-on skills required for certification and job competency in Machine Learning.

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.
5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems

👉Learn more at: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=MachineLearningRoadmapFor2023&utm_medium=Description&utm_source=youtube
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In this video on Branding Basics, we'll give you everything you need to know about the fundamentals of branding. We'll be covering the following topics:
1) Brand Strategy - 00:09
2) Brand Values - 01:09
3) Brand Vision - 04:12
4) Brand Mission - 05:54
5) Brand Objectives - 07:04
6) Brand Promise - 10:09
7) Brand- As a Product or an Asset - 12:53
8) How Digital Is Revolutionizing Branding - 13:39
9) Transformation Imperatives - 15:07
10) Digital Transformation Roadmap - 16:23
11) How to Build a Brand from Scratch - 17:37
12) Research Your Target Audience - 18:32
13) Identify Your Core Values - 19:16
14) Choose Your Business Name - 20:05
15) Define Your Branding Attributes - 20:58
16) Write a Slogan That Aligns with Your Mission - 21:30
17) Design Your Logo - 22:38
18) Apply and Evolve Your Branding - 23:26
19) Branding KPIs - 24:12
20) Brands within a Brand - 24:49
21) Types of Multi-Brand Strategies - 25:27
22) Geographies - 27:30
Without further ado, let's jump into Branding Basics!

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#BrandingBasics #UnderstandingBrandingBasics #WhatIsBranding #BrandStrategy #BrandMarketing #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. Digital marketing is one of the world’s fastest growing disciplines, and this certification will raise your value in the marketplace and prepare you for a career in digital 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
6. Prepare for top digital marketing certification exams such as OMCA, Google Analytics, Google Ads, Facebook Marketing, and YouTube Marketing certifications

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
6. Marketing Consultant

Learn more at: https://bit.ly/2W2SU1S



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🔥 Explore Executive Certificate Program In General Management: https://www.simplilearn.com/general-management-certification-training-course?utm_campaign=ExecutiveCertificateProgramInGeneralManagement&utm_medium=Descriptionff&utm_source=youtube

With IIM Indore's General Management program, you will gain an understanding of domains including Operations, HR, Business Strategy, and digital disruption. Understand the fundamentals of how business works and leverage it to support your organization’s strategy.

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✅ About Executive Certificate Program In General Management
With IIM Indore's General Management program, you will gain an understanding of domains including Operations, HR, Business Strategy, and digital disruption. Understand the fundamentals of how business works and leverage it to support your organization’s strategy.

✅ Key Features
- General Management certificate from IIM Indore
- IIM Indore Alumni status
- 3-day campus immersion at the IIM Indore campus, at additional cost
- Live classes from IIM Indore faculty
- Capstone projects mentored by IIM Indore faculty
- Simplilearn's JobAssist helps you get noticed by top hiring companies

✅ Skills Covered
- General Management
- Economics
- Accounting
- Financial Management
- Operations
- Supply Chain Management
- Marketing
- Human Resource Management
- Business Analytics
- Leadership
- Business Strategy
- Design Thinking
- Digital DisruptionInnovation

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In this video, you are going to learn about Hypothesis Testing in Statistics. We will discuss the null hypothesis, the alternate hypothesis, the statistical significance of a hypothesis test, and more. This video breaks down these concepts into easy-to-understand chunks so you can grasp their meaning and applications. We'll also go over a real-world example near the end to show how these concepts are applied.

Below topics will be covered in this Hypothesis Testing video:
00:00 What is Hypothesis Testing?
01:06 Research Question
02:22 Criteria for good hypothesis
03:37 Null hypothesis
04:31 Test Statistic
06:34 Hypothesis example
07:14 Significance level

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#HypothesisTesting #HypothesisTestingInStatistics #HypothesisTestingExampleProblems #HypothesisTestingExplained #WhatIsHypothesisTesting #StatisticsBasics #LearnStatistics #Simplilearn

✅What is Hypothesis Testing?
Hypothesis Testing is a type of statistical analysis in which we put our assumptions about a population parameter to the test. It is used to estimate the relationship between 2 statistical variables. Whenever we want to make claims about the distribution of data or whether one set of results are different from another set of results in machine learning, we rely on hypothesis tests.


About Simplilearn Data Scientist Program:
This Data Science course, in collaboration with IBM, features exclusive IBM hackathons, masterclass, and Ask-me-anything sessions for the best training experience. This Data Scientist certification training provides hands-on exposure to key technologies including R, Python, Machine Learning, Tableau, Hadoop, and Spark via live interaction with practitioners, practical labs, and industry projects.

Learning Objectives of Simplilearn Data Scientist Program:
Data Scientist is one of the hottest professions. IBM predicts the demand for Data Scientists will rise by 28% by 2020. Simplilearn's Data Science certification course co-developed with IBM encourages you to master skills including statistics, hypothesis testing, data mining, clustering, decision trees, linear and logistic regression, data wrangling, data visualization, regression models, Hadoop, Spark, PROC SQL, SAS Macros, recommendation engine, supervised, and unsupervised learning and more.


Key Features of Simplilearn Data Scientist Program:
✅ Exclusive Hackathons and Live interaction with IBM leadership (Includes live Master Classes and Ask me anything sessions)
✅ 220+ hours of live interactive learning (Live Data Science online classes by industry experts)
✅ Capstone and 15+ real-life Data Science projects (Built on datasets of Amazon, UBER, Comcast)
✅ Simplilearn JobAssist™ (Get noticed by the top hiring companies)

👉Learn more at: https://www.simplilearn.com/big-data-and-analytics/senior-data-scientist-masters-program-training?utm_campaign=HypothesisTestingExplained&utm_medium=Description&utm_source=youtube

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In this video on Project Management Full Course, we shall begin learning the basics of project management. As we move forward, we shall verse ourselves with different project management concepts like project planning, project time, cost quality and communication management. We will learn about project manager roles and different project management tools. Finally, we shall see some Project Management interview questions to excel in any Project Management interview.
By the end of this course, you'll have everything you need to know about Project Management. So without further ado, let's jump in!

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#ProjectManagement #ProjectManagementFullCourse #ProjectManagementFundamentals #ProjectManagementInterviewQuestionsandAnswers #ProjectManagementLifecycle #SimplilearnPMP #ProjectManagementTools #Simplilearn

What is Project Management?
Project management is the process of overseeing a team's work to complete all project objectives within the established parameters. The project documentation that is created at the start of the development process typically contains descriptions of this information. The three main restraints are budget, time, and scope. Optimizing the distribution of necessary inputs and using them to achieve pre-established goals is the secondary challenge.
Post Graduate Program in Project Management.
What is Project Planning?
Project planning, which involves using schedules like Gantt charts to plan and then report progress within the project environment, includes project planning. Using project management software or manually planning a project are both options.

Become a digital-age project leader with our Post Graduate Program in Project Management in partnership with the University of Massachusetts Amherst. Aligned with the Project Management Professional (PMP) certification, learn the frameworks, tools, and skills to drive transformational projects. The Post Graduate Program in Project Management focuses on managing quality, risk and complexity, delivering results, understanding strategy, and implementing best practices. This program aligns with the Project Management Institute standards and provides an opportunity to earn 146 PDUs required for renewal of multiple project management certifications.

Key Features:
✅University of Massachusetts Amherst Post Graduate Program Certificate of Completion
✅Official membership to the UMass Amherst Alumni Association
✅Once accepted into the UMass Amherst Isenberg Online MBA, Simplilearn coursework transfers as a 9-credit concentration
✅Masterclasses from top faculty of the University of Massachusetts Amherst
✅Interactive peer learning through group projects and discussions
✅175+ hours of Applied Learning
✅Get noticed by the top hiring companies
✅Enrollment in Simplilearn’s JobAssist
✅100% Money back guarantee
✅Capstone Project in 3 Domains
✅Curriculum aligned with official PMI-PMP®, ASM®, PMI-RMP®, and LSSGB project management certifications
✅Earn 146 PDUs for maintaining your Continuing Certification Requirements (CCR) with PMI related certifications
✅Earn the 35 Contact hours and 7 simulation exams to ace the PMP exam

Learn more at: https://www.simplilearn.com/pgp-project-management-certification-training-course?utm_campaign=ProjectManagementFC30sept2022&utm_medium=Description&utm_source=youtube

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This Simplilearn video on CompTIA Security+ Certification will acquaint you with all the CompTIA Security+ SYO-601 exam details. Here, you will understand the importance of the security+ certification and the focus areas of the CompTIA Security+ Exam.

The topics covered in this video on CompTIA Security+ Certification are:
00:00 Introduction to CompTIA
02:20 CompTIA Certifications
04:22 What Is CompTIA Security+ Certification?
05:25 Why Choose CompTIA Security+ Certification?
07:39 Who Can Take up the CompTIA Security+ Exam?
08:53 CompTIA Security+ Exam Details
10:16 Focus Areas of CompTIA Security+ Exam
11:28 Skills Acquired in CompTIA Security+ Certification

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#CompTIA #CompTIASecurityPlus #CompTIASecurity+ #CompTIASecurity+Certification #CompTIASecurity+Exam #NetworkSecurity #CyberSecurity #Simplilearn

What Is the CompTIA Security+ Certification?
CompTIA develops certification exams for networking, security, and cloud to name a few. The CompTIA Security+ certification is a leading entry-level IT certification. This certification gives you the necessary skills from spotting and mitigating risks to troubleshooting security incidents. IT professionals with two years of relevant work experience can take up the CompTIA Security+ exam.

About Simplilearn CompTIA Security+ Certification Course:
CompTIA Security+ is a globally trusted certification that validates foundational, vendor-neutral IT security knowledge and skills. As a benchmark for best practices in IT security, this certification training covers the essential principles of network security and risk management. This CompTIA Security+ training course will help you gain skills required to install and configure systems to secure applications, networks, and devices; perform threat analysis and respond with appropriate mitigation techniques; participate in risk mitigation activities; and operate with an awareness of applicable policies, and laws.

Comptia Security+ Course Key Features:
✅50 hours of Applied Learning
✅Covers 6 domains required to become an IT security professional
✅Hands-on based learning
✅Course Completion certificate
✅Exam Voucher included

Benefits:
According to the Bureau of Labor Statistics, Security Specialists, Administrators, and Managers having CompTIA security+ certification earn more than USD $86,000 per year.

Eligibility:
The CompTIA Security+ course is ideal for professionals who are working in the roles of system administrators, network administrators, security administrators, and IT auditors.

Pre-requisites:
There are no specific prerequisites to take up this certification but it is recommended that individuals take the Network+ certification before taking the Security+ training and certification exam.

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"

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This "Introduction to DevOps" video will help you understand what is waterfall model, what is an agile model, what is DevOps, DevOps phases, DevOps tools and DevOps advantages. In the traditional software development lifecycle, there is a lot of gap between the development and operations team. DevOps addresses the gap between developers and operations. The development team will submit the application to the operations team for implementation. The operations team will monitor the application and provide relevant feedback to developers. According to DevOps practices, the workflow in software development and delivery is divided into 8 phases, Now, let us get started and understand these 8 phases in DevOps.

Below topics are explained in this "Introduction to DevOps" video:
1. Waterfall model ( 00:51 )
2. Agile model ( 04:03 )
3. What is DevOps? ( 08:53 )
4. DevOps phases ( 09:48 )
5. DevOps tools ( 12:24 )
6. DevOps advantages ( 14:46 )

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You can also go through the Slides here: https://goo.gl/yMGKT4

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DevOps training course will bring out the scientist in you. You'll learn how to formalize and document development processes and create a self-documenting system. DevOps certification course will also cover advanced tools like Puppet, SaltStack, and Ansible that help self-governance and automated management at scale.

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- DevOps Methodology
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🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688