🔥 Top 5 Skills For Data Engineer In 2023 | Data Engineer Skills Required For 2023 | Simplilearn
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This video is based on Top 5 Skills For Data Engineer In 2023. In this video, we delve into the role of Data Engineers and the future salary trends. Learn about key skills like Big Data technologies, Data Modeling, and proficiency in programming languages that are crucial for excelling in the field. Stay ahead by mastering the expertise needed to thrive as a Data Engineer in the dynamic landscape of data-driven decision-making.
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Sudhir hadoop and Data warehousing resume
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Having good Knowledge in Bigdata, Hadoop, Pig, Hive, Sqoop, Hbase, Python, Spark, Scala.
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Amr Ghanem resume
Data warehousing engineer
Design & Implementation with Hadoop Big Data technologies
14 years of experience in designing, developing, and delivering Data Warehousing projects and high performance solutions. Leading technical teams and aligning their efforts with organizational goals.
In addition to long experience in using Oracle products in large data environments such as telecom companies.
And experienced in implementing Big Data projects using Hadoop framework & SQL / NoSQL implementation and transferring data between different homogeneous & heterogeneous sources.
harsharesume
Sri Harsha Vajjhala is a software engineer with 2 years of experience in application development using technologies like Java, Spring Framework, Struts, Hibernate, and databases like Oracle and SQL Server. He has a B.Tech in computer science and is looking to join a high-tech company. His work experience includes projects for Hewlett Packard in areas like product lifecycle management and supply chain systems. He is proficient in languages like Java, C, and technologies like web services and has expertise in software development methodologies like Agile.
Data Engineer Course In Bangalore-October
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For more information: https://datamites.com/data-engineer-certification-course-training-bangalore/
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Deloitte is one of the reputed “Big Four” accounting companies and the largest professional service provider by revenue as well as the number of professionals. With more than 263900 professionals worldwide, the organisation provides financial advising, corporate risk, consulting, tax, and audit services. Deloitte generated revenue of a record USD 38.8 billion in the financial year 2017 and is ranked as the sixth-largest private company in the United States as of 2016. In this video session on Deloitte interview questions and answers, we will go through different interview questions often asked during the interview process at Deloitte.
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This video on "Deep Learning Roadmap for 2024" offers a comprehensive guide to becoming a DL engineer. This "deep Learning Career Path 2024" provides valuable knowledge about crucial programming languages and mathematical concepts necessary for attaining proficiency in DL engineering. The field of dL presents captivating career prospects across different industries and sectors. Exciting roles such as DL engineers, ML engineers, data scientists, NLP engineers, AI engineers, and more offer the opportunity to work with advanced technologies and contribute to AI innovation.
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Top 5 High Paying Cloud Computing Jobs in 2023
This video, "Top 5 High Paying Cloud Computing Jobs In 2023" by Simplilearn will take you through 5 different job role which are the highest paid in 2023. In this Cloud Computing Jobs and salary video, we'll talk about the required skills and the average salary of various job profiles in the United States. Below are the topics covered in this Cloud Computing Jobs and Salary 2023 video.
Types Of Cloud Jobs In 2024
This video, "Types of Cloud Jobs In 2024," by Simplilearn, will take you through the different types of cloud computing jobs available in the field of cloud computing in 2024. In this video, we will take you through the roles and responsibilities along with the career path and salaries of each job role available in this dynamic field. In addition, you will also understand through the video which job role matches your skills and interest in this field. Below are the topics we have covered in this video on Types of Cloud Jobs in 2024.
Top 12 AI Technologies To Learn 2024 | Top AI Technologies in 2024 | AI Trend...
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Explore the future of AI in our Top 12 AI Technologies To Learn in 2024 video. We've curated a list of the most significant AI technologies for the coming year. Whether you're new to AI or an experienced pro, these insights are valuable. Discover machine learning, natural language processing, computer vision, and more. Stay ahead of the AI curve, and ensure you're prepared for the evolving landscape. Don't miss out on the opportunity to advance your AI knowledge and career.
Here in this Top 12 AI Technologies To Learn 2024 video, we start with:
What is LSTM ?| Long Short Term Memory Explained with Example | Deep Learning...
In this video on What is LSTM, we will go through what is LSTM, moving forward we will learn what is RNN, and after this, we will see the types of gates in LSTM and some applications of LSTM. At the end of the video, we will see a hands-on lab demo of gold price prediction using the LSTM model in machine learning.
00:00 What is LSTM?
01:51 What is RNN?
02:29 Types of gates in LSTM
03:45 Applications of LSTM
05:40 Hands-on lab demo
Dataset link: https://drive.google.com/drive/folder...
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What is LSTM?
Long Short-Term Memory (LSTM) is a type of Recurrent Neural Network (RNN) that can capture long-term dependencies in sequential data. LSTMs are able to process and analyze sequential data, such as time series, text, and speech. They use a memory cell and gates to control the flow of information, allowing them to selectively retain or discard information as needed and thus avoid the vanishing gradient problem that plagues traditional RNNs. LSTMs are widely used in various applications such as natural language processing, speech recognition, and time series forecasting.
What is RNN?
RNNs are a type of neural network that are designed to process sequential data. They can analyze data with a temporal dimension, such as time series, speech, and text. RNNs can do this by using a hidden state passed from one timestep to the next. The hidden state is updated at each timestep based on the input and the previous hidden state. RNNs are able to capture short-term dependencies in sequential data, but they struggle with capturing long-term dependencies.
Types of Gates in LSTM
Input gate
Output gate
Forget gate
Applications of LSTM
Language Simulation
Voice Recognition
Sentiment analysis
Time series prediction
Video analysis
Handwriting recognition
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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 Na
Top 10 Chat GPT Use Cases | ChatGPT Applications | ChatGPT Tutorial For Begin...
In this video on ChatGPT Usecases, we will explore ChatGPT by OpenAI, which interacts conversationally. This ChatGPT tutorial for beginners will help you understand what chatGPT is, How it works, and the Different Usecases of chatGPT to make your life easier.
00:00 Chat GPT Usecases
01:04 What is Chat GPT?
01:25 How does Chat GPT work?
01:58 Demo -Usecases
02:21 Explain complex subjects
04:12 Write any code
06:36 Audit/Debug any code
08:26 Create custom plans for marketing strategy
11:54 Write articles and blogs
16:00 Summarize book or article
17:35 Answer interview questions
19:38 Develop apps
21:45 Create diet plan and exercise plan
24:00 Answer general knowledge questions
What is ChatGPT
ChatGPT is a conversational language model created by OpenAI. It is a form of the Generative Pre-trained Transformer (GPT) model, which was trained on a dataset of conversational prompts, such as dialogue snippets and chat logs. The model is capable of generating human-like responses to text inputs.
How does chatGPT work?
This model is pre-trained on a large text dataset and then fine-tuned on a smaller dataset specific to the everyday task.
When the model receives input from a user, it uses the patterns it learned during fine-tuning to generate a response
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✅ What skills are covered in this Artificial Intelligence course?
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React JS Vs Next JS - What's The Difference | Next JS Tutorial For Beginners ...
In this video on "React JS Vs Next JS - What's The Difference," we will start with what is React js and Next js. After that, we will see the difference between React and Next js regarding performance, development cost, community, and many more. Moving ahead, we will talk about the features of React and Next js, and then we will see where we can use react and next js.
00:00 - React JS Vs Next JS - What's The Difference
01:55 - What is React js?
02:53 - What is Next js?
03:18 - Differnce between React and Next js
03:48 - React vs Next js : Performance
04:38 - React vs Next js : Documentation
05:05 - React vs Next js : Server side rendering
05:35 - React vs Next js : Community
06:40 - React vs Next js : Configuration
07:18 - React vs Next js : Maintance
07:43 - React vs Next js : Development Cost
08:00 - React vs Next js : Features
08:37 - Where React js and Next js is used?
What is React JS?
1. React is a JavaScript library that builds fast, interactive mobile and web applications.
2. It is an open-source, reusable component-based front-end library of JavaScript.
3. React is a combination of HTML and JavaScript.
4. It provides a robust and opinionated way to build modern applications Interface.
What Next js is.
1.Next js is an open-source web framework created by Vercel.
2. Next js enables React-based web applications with server-side rendering and generating static websites.
3. In addition, next js offers additional structure, features, and optimizations for your application.
4. Next.js takes care of the tooling and settings required for React Js.
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✅ About Full Stack Web Developer - MEAN Stack Program:
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 throughout this Full Stack MEAN Developer program. Full Stack Web Developer Mean Stack course 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.
✅ What is MEAN Stack?
The term MEAN stack refers to a collection of JavaScript-based technologies used to develop web applications. MEAN is an acronym for MongoDB, Express, Angular, and Node.js. MongoDB is a database system, Express is a back-end web framework, Angular.js is a front-end framework, and Node.js
Backpropagation in Neural Networks | Back Propagation Algorithm with Examples...
This video covers What is Backpropagation in Neural Networks? Neural Network Tutorial for Beginners includes a definition of backpropagation, working of backpropagation, benefits of backpropagation, and applications.
00:00 - What is Backpropagation?
This phase contains the definition of backpropagation with diagrammatic representation.
01:41 - What is Backpropagation in neural networks?
This phase of the video has specifically explained the role of backpropagation in neural networks.
02:23 - How does Backpropagation in neural networks work?
This phase of the video explains functioning, activation, and loss function in simple words.
05:28 - Benefits of Backpropagation
This content highlights the importance of backpropagation and gives you a reason to choose the same.
05:54 - Applications of Backpropagation
This phase covers applications of backpropagation in different fields.
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Backpropagation is an algorithm that is created to test errors that will travel back from input nodes to output nodes. It is applied to improve accuracy in data mining and machine learning.The concept of backpropagation in neural networks was first introduced in the 1960s. An artificial neural network is made up of bunches of connected input/output units, each of which is connected by a software program and has a certain weight. This kind of network is based on biological neural networks, which contain neurons coupled to one another across different network levels. In this instance, neurons are shown as nodes.
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How to Become a Business Analyst ?| Roadmap to Become Business Analyst | Simp...
In this video, we are going to discuss in detail How to Become a Business Analyst ? as this is a majorly discussed position everywhere. This video covers the skills required for a business analyst, roles and responsibilities, tools , role of a business analyst in the industry.
✅00:00 - Introduction
✅01:09 - Analytical and critical thinking
✅01:44 - Programming Languages
✅02:12 - Database and data visualization
✅03:00 - Communication skills
✅03:36 - Ability to take business decisions
✅04:14 - Presentation and documentation
✅04:37 - Discipline and time management
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#HowToBecomeABusinessAnalyst #RoadmapToBecomeABusinessAnalyst #Roadmap #BusinessAnalyst #BA #FreeCourses #FreeOnlineCourses #FreeTraining #Skillup #Simplilearn
1.Analytical and critical thinking - As a business analyst the first thing to learn is analytics. The needs of the client must be clearly analyzed and translated by the business analyst. Before choosing the desired solution, a business analyst might evaluate a variety of choices with the aid of critical thinking.
Business analysts concentrate on learning about and comprehending the needs of the client. They are able to prioritize business requirements thanks to critical thinking. For analytics, excel is widely used. You can check out the skill up link in the description box below.
🔥 Business Analytics With Excel: https://www.simplilearn.com/learn-bus...
2. Programming Language - Business analysts should be proficient programmers in order to conduct data analysis more quickly and effectively.
Understanding R and Python is quite helpful. Writing effective codes can be used to resolve complex issues. Please check out the courses on data science with Python or R language. Links for both courses are available in the description box below.
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3.Database and Data Visualization - Most frequently, business analysts use structured data. They should be well-versed in relational databases like Microsoft SQL Server, MySQL, Oracle DB, as well as NoSQL databases in order to store and process this large amount of data. Microsoft Excel proficiency is the next ability on our list of business analyst qualifications. Every business analyst has to have this fundamental ability. For data visualization,we opt for crucial tools like powerBI,Tableau,microsoft excel,oracle analytics etc., Among them, Tableau is very widely used. You can check out the Skillup course on data visualization by Simplilearn given in the description box below.
🔥Tableau Training: https://www.simplilearn.com/learn-tab...
4. Communication skills - This is necessary for every business analyst to have the Ability to understand the corporate way of communicating information to make decisions and impact clients. He should be able to communicate with the stakeholders easily. S
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- 6. Knowledge of Big Data Technologies The ability to harness the power of these technologies enables data engineers to process, store, and analyze vast datasets Apache Hadoop Apache Spark HDFS NoSQL
- 7. Data Modelling And Design A skilled data engineer should be able to design robust and scalable data models Entity relationship diagram Data flow diagram
- 8. Programming Language Python and Java are among the most prevalent languages for data engineering projects. Data Manipulation Data Transformation
- 9. Cloud Computing To leverage the benefits of serverless computing, manage data in real-time, and build robust data architectures. AWS Google Cloud Microsoft Azure
- 10. Real-Time Data Processing With the growing demand for real-time analytics, data engineers must be skilled in handling streaming data Apache Kafka Apache Flink
Editor's Notes
- Distribution