Edureka! Masterclass

Webinars to broaden your tech horizon. Introducing Edureka Masterclass, a webinar series created to help you understand and immerse yourself in the latest trending technologies.

1560+ Webinars
300500+ Learners

Upcoming Webinars

Learn how to protect your data using Amazon Dynamo DB

27th Jan 08:00 PM (IST)
217 Registered

How does Data Science empowers Data Analysts?

28th Jan 08:00 PM (IST)
344 Registered

Top 10 Project Management Certifications You Need to Know in 2021

29th Jan 08:00 PM (IST)
150 Registered

Top Skills for Hadoop Developer and how to become one?

30th Jan 08:00 PM (IST)
168 Registered

Artificial Neural Networks Explained in 90 Minutes

31st Jan 08:00 PM (IST)
174 Registered

Kubernetes 1o1 - What is Kubernetes?

1st Feb 02:30 PM (IST)
45 Registered

How to Master Functions in Tableau?

2nd Feb 06:30 PM (IST)
40 Registered

Get Started with Instances in AWS

3rd Feb 06:30 PM (IST)
41 Registered

Learn Python Fundamentals in 60 Minutes

4th Feb 08:00 PM (IST)
79 Registered
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Description

With an estimate of $46 billion reaches, Digital Marketing is sliding towards programmatic advertising and more than 85% of ads would be automated. The digital marketing industry is growing with 40% higher opportunities and the national average salary is quoted as $77,015 in the United States.

Agenda

  • What is Social Media Marketing?
  • Social Media Marketing TW/LinkedIn
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Description

Big Data refers to the large amounts of data that is pouring in from various data sources and has different formats. Traditional relational database systems are incapable of handling this Data. Big Data is much more than a collection of datasets with different formats, it is an important asset that can be used to obtain enumerable benefits.

Agenda

  • Who is a Hadoop Developer?
  • How to become a Hadoop Developer?
  • Skills required by a Hadoop Developer
  • Salary Trends for a Hadoop Developer
  • Job Trends for a Hadoop Developer
  • Top Companies Hiring Hadoop Developers
  • Roles and Responsibilities of Hadoop Developer
  • Future of Hadoop Developer
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Description

Big Data refers to the large amounts of data that is pouring in from various data sources and has different formats. Traditional relational database systems are incapable of handling this Data. Big Data is much more than a collection of datasets with different formats, it is an important asset that can be used to obtain enumerable benefits.

Agenda

  • Why Big Data Analytics?
  • What is Big DataAnalytics?
  • Different Stages in Big Data Analytics
  • Different Types of Big Data Analytics
  • Tools used in Big Data Analytics
  • Big Data Analytics in Different Domains
  • Trends in Big Data Analytics
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Description

Big Data refers to the large amounts of data that is pouring in from various data sources and has different formats. Traditional relational database systems are incapable of handling this Data. Big Data is much more than a collection of datasets with different formats, it is an important asset that can be used to obtain enumerable benefits.

Agenda

  • What is big data?
  • How big data is processed
  • Career Prospects of big data
  • How to get Certification in Big Data
  • Big data interview tricks
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Description

Python is a widely-used general-purpose, high-level programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code.

Agenda

  • What is Python?
  • Features of Python
  • Data Types in Python
  • Python Operators
  • Flow Control in Python
  • Python Functions
  • File Handling in Python
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Description

Python is a widely-used general-purpose, high-level programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code.

Agenda

  • What is an array?
  • Is python list same as an array?
  • How to create arrays in python?
  • Accessing array elements
  • Basic array operations
  • Hands-On
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Description

Python is a widely-used general-purpose, high-level programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code.

Agenda

  • Introduction to Python
  • Introduction to File Handling
  • Types of Files
  • Python File Handling System
  • Hands-On
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Description

Business intelligence (BI) is a technology-driven process for analyzing data and presenting actionable information to help executives, managers, and other corporate end-users make informed business decisions.

Agenda

  • What is Tableau?
  • Number Functions
  • String Functions
  • Date Functions
  • Type Conversion Functions
  • Aggregate Functions
  • Logical Functions
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Description

Business intelligence (BI) is a technology-driven process for analyzing data and presenting actionable information to help executives, managers, and other corporate end-users make informed business decisions.

Agenda

  • Why Power BI?
  • What is Power BI?
  • Key Benefits of Power BI
  • Process in Power BI
  • PowerBI Dashboards
  • Types of Dashboards
  • Hands-On
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Description

Cloud Computing is storing or accessing your data and programs over the internet rather than your own hard drive. Everything nowadays is moved to the cloud, running in the cloud, accessed from the cloud or may be stored in the cloud. Hence, the demand for Certified Cloud Architects is increasing across all sectors of the economy.

Agenda

  • Introduction to Amazon DynamoDB
  • Amazon DynamoDB Features
  • Amazon DynamoDB Concepts
  • Amazon DynamoDB Sample Table
  • What Amazon DynamoDB Manages
  • Amazon DynamoDB Read/Write
  • Amazon DynamoDB Pricing
  • DynamoDB vs. RDS
  • When to use DynamoDB
  • Hands-On
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Description

Cloud Computing is storing or accessing your data and programs over the internet rather than your own hard drive. Everything nowadays is moved to the cloud, running in the cloud, accessed from the cloud or may be stored in the cloud. Hence, the demand for Certified Cloud Architects is increasing across all sectors of the economy.

Agenda

  • What Is An Instance?
  • AWS EC2 Service
  • Types Of EC2 instances
  • Instance Pricing Models
  • Use case
  • Hands-On
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Description

Cloud Computing is storing or accessing your data and programs over the internet rather than your own hard drive. Everything nowadays is moved to the cloud, running in the cloud, accessed from the cloud or may be stored in the cloud. Hence, the demand for Certified Cloud Architects is increasing across all sectors of the economy.

Agenda

  • Introduction to DevOps
  • Need for Pipeline
  • What is AzurePipeline?
  • Azure Pipeline components
  • Hands-On
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Description

Cloud Computing is storing or accessing your data and programs over the internet rather than your own hard drive. Everything nowadays is moved to the cloud, running in the cloud, accessed from the cloud or may be stored in the cloud. Hence, the demand for Certified Cloud Architects is increasing across all sectors of the economy.

Agenda

  • What Is Cloud Computing?
  • Cloud Vs Traditional Web Hosting
  • Microsoft Azure
  • WordPress
  • Hands-On
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Description

Cloud Computing is storing or accessing your data and programs over the internet rather than your own hard drive. Everything nowadays is moved to the cloud, running in the cloud, accessed from the cloud or may be stored in the cloud. Hence, the demand for Certified Cloud Architects is increasing across all sectors of the economy.

Agenda

  • What is AWS?
  • Why Java web Applications in AWS?
  • How to deploy Java Web applications in AWS?
  • Hands-On
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Description

Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data. Data Scientist is considered as the sexiest job of 21st century.

Agenda

  • Who is data analyst and data scientist?
  • Roadmap
  • Required skill-sets
  • Roles and Responsibilities
  • Salary Perspective
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Description

Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data. Data Scientist is considered as the sexiest job of 21st century.

Agenda

  • What is Data Science
  • Why Data Science in 2020
  • Data Science Lifecycle
  • Applications of Data Science
  • Types Of Clustering
  • Hands-On
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Description

Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data. Data Scientist is considered as the sexiest job of 21st century.

Agenda

  • What is KNN Algorithm?
  • Use cases of KNN Algorithm
  • How things are predicted using KNN Algorithm
  • How to choose the value of K?
  • KNN Algorithm Using Python
  • Hands-On
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Description

Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data. Data Scientist is considered as the sexiest job of 21st century.

Agenda

  • What is Sentiment Analysis?
  • Steps in Sentiment Analysis
  • Sentiment Analysis in Twitter using Python
  • Hands-On
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Description

Cybersecurity refers to a set of techniques used to protect the integrity of networks, programs and data from attack, damage or unauthorized access.

Agenda

  • What is a security breach?
  • Examples of a security breach
  • Types of security breaches
  • What to do if you experience a security breach
  • How to protect yourself against a security breach
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Description

Deep learning” refers to these artificial neural networks that are composed of many layers. It is the fastest-growing field in Machine Learning. It uses many-layered Deep Neural Networks (DNNs) to learn levels of representation and abstraction that make sense of data such as images, sound, and text.

Agenda

  • Why Neural Networks?
  • Motivation Behind Neural Networks
  • What is Neural Network?
  • Single Layer Percpetron
  • Multi Layer Perceptron
  • Use-Case
  • Applications of Neural Networks
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Description

Deep learning” refers to these artificial neural networks that are composed of many layers. It is the fastest-growing field in Machine Learning. It uses many-layered Deep Neural Networks (DNNs) to learn levels of representation and abstraction that make sense of data such as images, sound, and text.

Agenda

  • What is Classification?
  • Types of Classification
  • What is Decision Tree?
  • Decision Tree Algorithm
  • Hands-On
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Description

Deep learning” refers to these artificial neural networks that are composed of many layers. It is the fastest-growing field in Machine Learning. It uses many-layered Deep Neural Networks (DNNs) to learn levels of representation and abstraction that make sense of data such as images, sound, and text.

Agenda

  • What is KNN Algorithm?
  • Use cases of KNN Algorithm
  • How things are predicted using KNN Algorithm
  • How to choose the value of K?
  • KNN Algorithm Using Python
  • Hands-On
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Description

Deep learning” refers to these artificial neural networks that are composed of many layers. It is the fastest-growing field in Machine Learning. It uses many-layered Deep Neural Networks (DNNs) to learn levels of representation and abstraction that make sense of data such as images, sound, and text.

Agenda

  • History of Chatbot
  • Why do we need Chatbot?
  • NLP Layer?
  • Applications of Chatbot
  • Workflow of Chatbot
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Description

Deep learning” refers to these artificial neural networks that are composed of many layers. It is the fastest-growing field in Machine Learning. It uses many-layered Deep Neural Networks (DNNs) to learn levels of representation and abstraction that make sense of data such as images, sound, and text.

Agenda

  • Introduction to Deep Learning
  • Deep Learning Algorithms
  • Hands-On
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Description

A Full-Stack developer is an engineer who can handle all the work of databases, servers, systems engineering, and clients. He is responsible for handling the front-end and back-end of the entire website.

Agenda

  • What is MERN Stack
  • How to build MERN stack
  • Hands-On
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Description

DevOps is a set of practices that combines software development (Dev) and IT operations (Ops).DevOps is complementary with Agile software development; several DevOps aspects came from Agile methodology.

Agenda

  • Need for Kubernetes
  • What is Kubernetes?
  • How does Kubernetes work?
  • Kubernetes Use-Cases
  • Hands-on
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Description

DevOps is a set of practices that combines software development (Dev) and IT operations (Ops).DevOps is complementary with Agile software development; several DevOps aspects came from Agile methodology.

Agenda

  • Introduction to MLOps
  • What is MLOps?
  • Why MLOps?
  • Principles of MLOps
  • How does MLOps work?
  • Advantages of MLOps
  • Hands-on
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Description

DevOps is a set of practices that combines software development (Dev) and IT operations (Ops).DevOps is complementary with Agile software development; several DevOps aspects came from Agile methodology.

Agenda

  • What is Release Management?
  • DevOps Release Management
  • Release Management Strategies
  • DevOps Techniques For Release Management
  • Release Management Tools
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"PMP®","PMI®", "PMI-ACP®" and "PMBOK®" are registered marks of the Project Management Institute, Inc. MongoDB®, Mongo and the leaf logo are the registered trademarks of MongoDB, Inc.
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