Learn Data Structures in Python all the way from B... Moreuilt-in to User-Defined.
It's Beginner Friendly with intuition followed by code tutorials, So It's Easy to Understand and Visualise a Data Structure.
Solving Problems would be easier after learning the Data Structure as you have better intuition.
Course Design: (Intuition) + (Code walkthrough) + (Time-Complexity + Application of that Data Structure)
Data Structures Include:
Lists
Tuples
Sets
Dictionaries
2-D Arrays
OOP For understanding data structures
Stacks
Queues
Deque
Linked-Lists
Doubly Linked Lists
Circular Linked Lists
Trees
Binary Trees
Binary Search Trees + Traversals
AVL Trees
Heaps + Heap sort
Priority Queue
HashMaps/HashTables
Graphs + Properties
Graph Traversals
Spanning Trees + MST
Prims + Kruskals Algorithms for MST
Tries (Keyword Trees)
Take Away Section. Less
This AWS Certified Solutions Architect Associate P... Moreractice Exam Course covers EVERYTHING you need to pass the exam on your first try
About this Practice Exam:
With the help of this practice exam for the Certification of AWS Certified Solutions Architect - Associate, students will gain the Practice test of SAA-C01. The training test, in view of the real test, includes 390 inquiries. In the genuine test, you will be required to finish these inquiries inside 130 minutes.
Skills Measured:
Effectively prove information on the most proficient method to deploy and architect robust and secure applications on AWS technologies
Explain an answer utilizing engineering structure standards dependent on client prerequisites.
Give usage direction dependent on best practices to the association for the duration of the existing pattern of the project
This practice exam will prepare you for AWS Certified Solutions Architect - Associate Certification.
Abilities Validated by the Certification
Effectively demonstrate knowledge of how to architect and deploy secure and robust applications on AWS technologies
Define a solution using architectural design principles based on customer requirements
Provide implementation guidance based on best practices to the organization throughout the life cycle of the project
Recommended Knowledge and Experience
Hands-on experience using compute, networking, storage, and database AWS services
Hands-on experience with AWS deployment and management services
Ability to identify and define technical requirements for an AWS-based application
Ability to identify which AWS services meet a given technical requirement
Knowledge of recommended best practices for building secure and reliable applications on the AWS platform
An understanding of the basic architectural principles of building on the AWS Cloud
An understanding of the AWS global infrastructure
An understanding of network technologies as they relate to AWS
An understanding of security features and tools that AWS provides and how they relate to traditional services
Who this course is for:
AWS Developers
Solutions Architecters Less
Description
This course covers three essential co... Morencepts for aspiring Web Developers. This includes HTML, CSS, & Bootstrap. Each section comes complete with comprehensive lessons that help students master the art of front-end coding.
The course is divided as follows:
HTML Development
This section explores HTML. HTML is a key fundamental building block when learning to develop websites. Students initially learn the basics of HTML page structure and gradually transition into working with spacing, text formatting, lists, images, videos, links, anchors, tables, forms and much more. We include several projects, where students are shown first-hand, how to develop and code html web pages from scratch.
CSS Development
Students learn to use CSS to create stylish, responsive web page layouts. We start by discussing the parts and types of CSS rules, followed by CSS classes, DIVS, and ID's. Students gain significant exposure to various formatting options, including margins, padding, font properties, backgrounds, transparency, positioning, link styling and CSS tables. This section includes a hands-on web development project where students utilize the concepts explored in the lesson.
Bootstrap Framework
Students are taught to use the Bootstrap framework for responsive, mobile-first - front-end development. As one of the leading open-source development libraries, Bootstrap is an essential part of the developers coding arsenal. The section begins with teaching students how to include essential Bootstrap files into web pages. It then explores the Bootstrap Grid system and popular layout strategies for optimal cross-device and cross-browser compatibility.
Students gain exposure to just about every Bootstrap component, from typography, tables and images, to jumbotrons, wells, alerts, buttons, glyphicons and progress bars. The section includes several hands-on exercises that will walk students through the process of creating stunning layouts, complete with modals, carousels, popovers, drop-down menus, forms and much more. Less
Learn how to create and manage Kubernetes using on... Moree of the leading managed services on the market.
Azure Kubernetes Service Zero to Hero admin guide is an intermediate course which describes:
Comparison of Managed vs self-managed Kubernetes solutions;
Pros and Cons of Managed Kubernetes services;
AKS Capacity Analysis;
Detailed AKS network architecture;
How to create an AKS cluster using Azure Portal and Azure CLI;
Integrate AKS with Active Directory;
Create Kubernetes users using self-signed certificates;
How AKS creates and manages Azure storage resources;
AKS monitoring and log debugging.
Who this course is for:
Fearless Kubernetes administrators. Less
This course offers a comprehensive look into the e... Morentire web development process - from local server configuration using WAMP and MAMP (Apache, MySQL, PHP) to production deployment using the latest web technologies including: LAMP Stack (Linux, Apache, PHP and MySQL) for Ubuntu, HTML5, CSS, Bootstrap, JavaScript, jQuery, XML, and AJAX.
The content is ideal for those interested in working as a web developer, launching a web application, or devoted enthusiasts. The concepts explored in this course are suitable for individuals of all skill levels. Each module starts with the fundamental concepts and gradually transitions into more advanced material.
What makes this course unique?
This course is specifically intended to teach students to develop web applications using the most efficient methods and the latest web technologies. Through live demonstrations we teach the importance of using scalable cloud hosting infrastructures during the development process. This includes small informational websites of only a few pages to advanced 'big data' style, dynamic web applications. We go through several live examples of web development and Linux based server configurations on popular Cloud hosting providers such as Linode.
Section 1 & 2 (Introduction, How the Internet Works)
The course begins with with an overview of learning objectives. We then explore how the internet works, including the composition and transmission of data packets over both local and wide-area Networks. Next we take a look at the HTTP and HTTPS protocols as applicable to client and server side communications - including DNS Lookups. This section will also teach students how email exchange works over SMTP and IMAP. The role of Network Ports and Firewalls are also introduced.
Section 3, 4: (The Web Development Process, Planning a Website)
Students will gain an understanding of all the steps involved in the web development process.
Section 5: Web Hosting and System Requirements
We conduct an in-depth case analysis of web hosting solutions including: Shared, Virtual Private, Dedicated and Cloud Hosting.
We provide an overview of various packages offered by different web hosting companies and weigh the pros and cons of each one.
Students are also introduced to the importance of web server scalability and the advantages of cloud hosting over traditional hosting services. We also examine the infrastructure requirements of popular, resource intensive applications such as Netflix and Facebook to emphasize the importance of avoiding costly mistakes in the initial stages of development.
Section 6: Domain Names
We provide an overview of the domain name registration process. This includes the role of registrars and TLD (Top Level Domain) administration by ICANN. ccTLD's (Country Code Top Level Domains) are also explored.
Students gain hands-on experience with the registration process using popular domain registrars. We provide a comparison of different registrars and register a sample domain name using GoDaddy. Other topics of discussion include: domain name privacy and administration, auto-renewal, domain forwarding, and name server assignment.
Section 7: Testing Environment
Students are introduced to configuring a local testing server on a PC or MAC system using WAMP (Windows) or MAMP (MAC). The lessons provide a detailed guide on installation of the packages and an overview of the interface.
Section 8: Production Environment
Students acquire the skills needed to optimally configure a live production environment for securely hosting web applications on a cloud server (Linode). The section starts with an overview of different cloud hosting providers such as Amazon Web Services, Microsoft Azure, Linode and Digital Ocean.
We then provide a live demonstration of server setup using Linode. This includes deployment of Ubuntu and installation of LAMP Stack (Linux) on the Linode Server using remote access consoles such as Terminal (MAC) and PuTTY for Windows.
Students gain an in-depth knowledge of server maintenance, file and directory commands. We also explore SSH Authentication for multiple users and file permissions to reduce security vulnerabilities. Remote Desktop connections for server administration are taught, using Tight VNC (Windows) and RealVNC (MAC).
A thorough overview of the Linode server management console is conducted, to show students how to scale servers, change root passwords, manage the DNS Zone file and create back-ups.
Section 9: FTP Setup
Students learn the role of an FTP (File Transfer Protocol) client to connect to a remote server, through a local machine. We provide a live demonstration on file upload using FileZilla and explore the FileZilla Interface for connection management.
Section 10: HTML Development
This section explores HTML. HTML is a key fundamental building block when learning to develop websites. Students initially learn the basics of HTML page structure and gradually transition into working with spacing, text formatting, lists, images, videos, links, anchors, tables, forms and much more. We include several projects, where students are shown first-hand, how to develop and code html web pages from scratch.
Section 11: CSS Development
Students learn to use CSS to create stylish, responsive web page layouts. We start by discussing the parts and types of CSS rules, followed by CSS classes, DIVS, and ID's. Students gain significant exposure to various formatting options, including margins, padding, font properties, backgrounds, transparency, positioning, link styling and CSS tables. This section includes a hands-on web development project where students utilize the concepts explored in the lesson.
Section 12: Document Object Model (DOM)
As a precursor to JavaScript, we explore the DOM (Document Object Model). We explain its usage and application in manipulating HTML and CSS elements.
Section 13: JavaScript Development
We introduce students to JavaScript coding to add interactivity to static HTML and CSS pages. The section starts with discussing JavaScript placement, using both internal and external scripts. We then take a look at JavaScript output, variable declarations, arithmetic operators, objects, strings, math functions, arrays, conditional statements, loops, functions and events. Students also go through two hands-on projects that will further solidify their knowledge of the concepts explored in the lessons.
Section 14: JQuery Library
We explore the jQuery library and many of its unique features, used to create stunning, animated web pages. We start with the basics, from embedding jQuery into web pages to working with Selectors. Students then explore working with events, toggling, fading, sliding, and other forms of animation. The lessons also teach students how to work with callbacks, chaining, dragables, accordion menus and many other functions.
Section 15: Bootstrap Framework
Students are taught to use the Bootstrap framework for responsive, mobile-first - front-end development. As one of the leading open-source development libraries, Bootstrap is an essential part of the developers coding arsenal. The section begins with teaching students how to include essential Bootstrap files into web pages. It then explores the Bootstrap Grid system and popular layout strategies for optimal cross-device and cross-browser compatibility.
Students gain exposure to just about every Bootstrap component, from typography, tables and images, to jumbotrons, wells, alerts, buttons, glyphicons and progress bars. The section includes several hands-on exercises that will walk students through the process of creating stunning layouts, complete with modals, carousels, popovers, drop-down menus, forms and much more.
Section 16: PHP Development
Students gain exposure to creating dynamic web applications and functionality using PHP. We start with the basics, including variable declaration and data output. The lessons then transition into working with objects, conditional statements, loops, functions, arrays and form validation.
Section 17: MySQL Database Integration
Students learn to unleash the true power of web application development with MySQL database integration. We start with the basics from database and table creation, to user management. Next we explore the execution of commonly used SQL statements for database modification and administration. Students are also taught how to create database connections and execute SQL statements from PHP scripts.
Section 18, 19 (XML, AJAX, & Development)
We explore XML and AJAX integration to create dynamic content, without page refresh. The lessons cover several hands-on training exercises that will encompass many of the exciting functions AJAX offers. Students will build a website complete with database integration, registration forms with server-side validation, user authentication, and a SMTP-based contact submit form.
Section 20: Google Apps for Work
Students learn to create a customized business email address using Google Apps for Work. Email administration is also explored, along with alias creation. Less
You're looking for a complete Artificial Neural Ne... Moretwork (ANN) course that teaches you everything you need to create a Neural Network model in R, right?
You've found the right Neural Networks course!
After completing this course you will be able to:
Identify the business problem which can be solved using Neural network Models.
Have a clear understanding of Advanced Neural network concepts such as Gradient Descent, forward and Backward Propagation etc.
Create Neural network models in R using Keras and Tensorflow libraries and analyze their results.
Confidently practice, discuss and understand Deep Learning concepts
How this course will help you?
A Verifiable Certificate of Completion is presented to all students who undertake this Neural networks course.
If you are a business Analyst or an executive, or a student who wants to learn and apply Deep learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the most advanced concepts of Neural networks and their implementation in R Studio without getting too Mathematical.
Why should you choose this course?
This course covers all the steps that one should take to create a predictive model using Neural Networks.
Most courses only focus on teaching how to run the analysis but we believe that having a strong theoretical understanding of the concepts enables us to create a good model . And after running the analysis, one should be able to judge how good the model is and interpret the results to actually be able to help the business.
What makes us qualified to teach you?
The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using Deep learning techniques and we have used our experience to include the practical aspects of data analysis in this course
We are also the creators of some of the most popular online courses - with over 250,000 enrollments and thousands of 5-star reviews like these ones:
This is very good, i love the fact the all explanation given can be understood by a layman - Joshua
Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy
Our Promise
Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.
Download Practice files, take Practice test, and complete Assignments
With each lecture, there are class notes attached for you to follow along. You can also take practice test to check your understanding of concepts. There is a final practical assignment for you to practically implement your learning.
What is covered in this course?
This course teaches you all the steps of creating a Neural network based model i.e. a Deep Learning model, to solve business problems.
Below are the course contents of this course on ANN:
Part 1 - Setting up R studio and R Crash course
This part gets you started with R.
This section will help you set up the R and R studio on your system and it'll teach you how to perform some basic operations in R.
Part 2 - Theoretical Concepts
This part will give you a solid understanding of concepts involved in Neural Networks.
In this section you will learn about the single cells or Perceptrons and how Perceptrons are stacked to create a network architecture. Once architecture is set, we understand the Gradient descent algorithm to find the minima of a function and learn how this is used to optimize our network model.
Part 3 - Creating Regression and Classification ANN model in R
In this part you will learn how to create ANN models in R Studio.
We will start this section by creating an ANN model using Sequential API to solve a classification problem. We learn how to define network architecture, configure the model and train the model. Then we evaluate the performance of our trained model and use it to predict on new data. We also solve a regression problem in which we try to predict house prices in a location. We will also cover how to create complex ANN architectures using functional API. Lastly we learn how to save and restore models.
We also understand the importance of libraries such as Keras and TensorFlow in this part.
Part 4 - Data Preprocessing
In this part you will learn what actions you need to take to prepare Data for the analysis, these steps are very important for creating a meaningful.
In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split.
Part 5 - Classic ML technique - Linear Regression
This section starts with simple linear regression and then covers multiple linear regression.
We have covered the basic theory behind each concept without getting too mathematical about it so that you
understand where the concept is coming from and how it is important. But even if you don't understand
it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.
We also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables dataset are interpreted in the results and how do we finally interpret the result to find out the answer to a business problem.
By the end of this course, your confidence in creating a Neural Network model in R will soar. You'll have a thorough understanding of how to use ANN to create predictive models and solve business problems.
Go ahead and click the enroll button, and I'll see you in lesson 1!
Cheers
Start-Tech Academy
------------
Below are some popular FAQs of students who want to start their Deep learning journey-
Why use R for Deep Learning?
Understanding R is one of the valuable skills needed for a career in Machine Learning. Below are some reasons why you should learn Deep learning in R
1. It’s a popular language for Machine Learning at top tech firms. Almost all of them hire data scientists who use R. Facebook, for example, uses R to do behavioral analysis with user post data. Google uses R to assess ad effectiveness and make economic forecasts. And by the way, it’s not just tech firms: R is in use at analysis and consulting firms, banks and other financial institutions, academic institutions and research labs, and pretty much everywhere else data needs analyzing and visualizing.
2. Learning the data science basics is arguably easier in R. R has a big advantage: it was designed specifically with data manipulation and analysis in mind.
3. Amazing packages that make your life easier. Because R was designed with statistical analysis in mind, it has a fantastic ecosystem of packages and other resources that are great for data science.
4. Robust, growing community of data scientists and statisticians. As the field of data science has exploded, R has exploded with it, becoming one of the fastest-growing languages in the world (as measured by StackOverflow). That means it’s easy to find answers to questions and community guidance as you work your way through projects in R.
5. Put another tool in your toolkit. No one language is going to be the right tool for every job. Adding R to your repertoire will make some projects easier – and of course, it’ll also make you a more flexible and marketable employee when you’re looking for jobs in data science.
What is the difference between Data Mining, Machine Learning, and Deep Learning?
Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge—and further automatically applies that information to data, decision-making, and actions.
Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning.
Who this course is for:
People pursuing a career in data science
Working Professionals beginning their Neural Network journey
Statisticians needing more practical experience
Anyone curious to master ANN from Beginner level in short span of time Less
If you would like to master JavaScript and get sta... Morerted as a full-stack web developer, you are going to LOVE this course! Learn full-stack JavaScript development working on coding projects using ReactJS, NodeJS, LoopbackJS, Redux, Material-UI and socket programming.
We will work on the following 3 coding projects in this course:
Calculator Application - We will go over the basics of what React is, how to create components and how to work within the React life-cycle.
Weblog - We will build a feature rich blog app using React and LoopbackJS. We will begin to explore the full-stack elements of JavaScript by coding our own REST API, and how the front and back-end can communicate with each other.
Chat Application - We will explore socket programming. With a web socket you can keep clients connected on the server side. We will program a chat app where you can create a user account, add other users and then message back and forth with them.
This course was designed for students who have a basic understanding of front-end web development. It will be helpful if you know how to use HTML and CSS. A basic understanding of JavaScript is not required, but it will help you get up to speed with the tutorials.
All of the lectures are downloadable for offline viewing. English captions are available within the course.
Thank you for taking the time to read this and we hope to see you in the course! Less
Welcome to this course on Python Socket Programmin... Moreg Tutorial. In this video we will see the Basics of Networking. The goal of this Socket programming tutorial is to learn how to build client/server applications that communicate using sockets. We are going to look at a bunch of application level protocols (HTTP, DNS, FTP, SMTP, POP, IMAP, ..). The Objective of this course is to understand principles of networking, learn TCP and UDP features, learn to implement Python programs to access networking functionality. We will see Python examples of client and server program structures etc.
In this Course you will learn Basics of Networking, Basics of Sockets | What is a Socket?, Write Your First Socket Program using Python socket module, TCP/IP Client and Server, Build a Python Socket Client with Example, UDP Client/Server Socket in Python with Example, Make a Multithreaded Socket Server, Socket Server with Multiple Clients Less
Do you need to master the art of front-end develop... Morement?
Look no further. This course is your complete beginners guide to developing cutting-edge web pages that are fully mobile responsive.
The course branches into three sections.
1. Explore HTML5
Learn the composition of a web page and how a web browser interprets html code to display the visual elements of a page. Learn the core fundamental aspects of HTML syntax, to ensure you are well prepared for the remaining sections ahead.
2. Explore CSS3
Learn to add stunning design elements to really make web pages visually aesthetic. Learn a broad range of CSS attributes to make web pages completely mobile responsive, even on the trickiest of devices such as phones and tablets.
3. Explore JavaScript
Dive into adding interactive client-side functionality using JavaScript. JavaScript is an extremely powerful front-end programming language that can really help take web pages to another level. Learn how to add client-side validation to forms, animate images and objects, and manipulate both HTML and CSS.
Who this course is for:
Anyone who needs to learn to code
Anyone who needs to build a website Less
Have you ever wanted to build a game with a graphi... Morecal interface but didn't know how to? Maybe you even know how to create tools on a command line but have no idea how to convert it into a graphical interface that people can click on. In this course, we will be learning Python GUI Programming + Turtle + other advanced python modules to build graphical user interfaces (GUI) and games from scratch.
Game projects covered:
1. Solitaire
2. Space Shooter
3. Chain Reaction
4. Pac-man
5. Car Racing
6. Snake and many more.
Basic Python course Highlights:
Installing Python
Running Python Code
Strings
Lists
Dictionaries
Tuples
Sets
Number Data Types
Print Formatting
Functions
Scope
args/ kwargs
Built-in Functions
Debugging and Error Handling
Modules
External Modules
Object-Oriented Programming
Inheritance
Polymorphism
Encapsulation
Advanced Methods
Iterators
Closures
and much more! Less
R Programming Language is not an easy language to ... Morelearn, and requires extensive practice in addition to the theory. Simply understanding in theory, how R Programming language works and everything that you can do with R is just not enough – you require a complete breakdown of how to go about doing it.
This is why we have designed this comprehensive project-based course! In this course, we attempt to break down this complex programming language and environment into an easy to follow structured tutorial that will help you not only understand this statistical language, but also become more familiar with how you can go about using it.
R is a programming language and environment for statistical computing and graphics. It allows developers to work with a range of statistical and graphical techniques including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, etc.
Our course will help you go through a step by process of understanding how R can help you become a more efficient data miner, analyst and statistician. However, it won’t just list or show you how to do that. The instructor will lead you through real world projects that will show you exactly how you can do them, while urging you to follow all the projects along with the instructor.
This project based course a great way for you to understand the fundamentals using a hands-on approach. No more confusing resources or boring theories, but rather you would actually get a hands on with the R Programming Language and environment.
In this course, you would learn the fundamentals of R programming language, including the basic concepts such as lists, functions, arrays, vectors, matrices, strings, etc.
There are five major aspects that you will learn in this course.
1. Practical approach to the R Programming – If you already have some background in R programming, or even have the knowledge, then this will help you gain a practical approach to R programming.
2. Learn Different Forms of Data Visualization – Visualizations of data has become a popular trend, as it makes the data more prominent and easier to understand. These include different types of visualizations such as bar graph, charts, heat map, etc.
3. Learn efficient ways to visualize data – Data should be efficient, especially if you are working with partial data. If the data is not efficient, the analysis would not be faulty and can be misunderstood.
4. Learn ways to manipulate data – Data isn’t always constant and it is often used to analyze past data and make future predictions. For this data is required to be manipulated to create predictions for multiple scenarios.
5. Learn to generate reports using R – Now we come to the most important stage of data mining and analysis. Here you will learn to generate effective reports that will help you put out a clean set of data analysis for consumption. Less
Learn Python From Scratch
I’ve created thorou... Moregh, extensive, but easy to follow content which you’ll easily understand and absorb.
The course starts with the basics, including Python fundamentals, programming, and user interaction.
The curriculum is going to be very hands-on as we walk you from start to finish becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real-life practice and be ready for the real world.
The topics covered in this course are:
Array implementation
File methods
Keywords and Identifiers
Python Tuples
Python Basics
Python Fundamentals
Data Structures
Object-Oriented Programming with Python
Functional Programming with Python
Lambdas
Decorators
Generators
Testing in Python
Debugging
Error Handling
Regular Expressions
Comprehensions
Modules
See you inside the course! Less
Learn Front End Web Development
Student reviews... More:
"Great Course"
-Rich Helton
"This is great training for beginners and aspiring front end web developers this is simple yet very very informative"
-Leynard Caballero Villagracia
"I think it is a great course for the beginning level."
-Hoang Cong
"Great course and perfect explanation specially for beginners."
-Kenan Dedoviq
"Easy to understand for beginners..."
-Hiren Bechra
"Yeah, it's been a good match for me definitely. The content and the way of teaching by the mentors is very effective and efficient. Any one can begin with building web pages, taking up this certain course"
-Abhinav Anand
========================================================
Not sure yet? Just scroll down and watch the free preview lectures!
Enroll with confidence! Your enrollment is backed by Udemy's 30-day, no-questions-asked, money-back guarantee!
What are the requirements?
· All information and resources are included in this course.
What am I going to get from this course?
· Learn how to hand code HTML and CSS
· Work with Bootstrap 4
· Build 2 great projects to get you started on your Front End Web Development education
What is the target audience?
· Anyone who wants to dramatically increase their Front End Web Development Skills! Less
Welcome to the Complete Data Structure and Algorit... Morehm in Python Bootcamp, the most modern, and the most complete Data Structure and Algorithm in Python course on the internet.
At 33+ hours, this is the most comprehensive course online to help you ace your coding interviews and learn about Data Structures and Algorithms in Python. You will see Interview Questions done at the top technology companies such as Apple,Amazon, Google and Microsoft and how to face Interviews with comprehensive visual explanatory video materials which will bring you closer towards landing the tech job of your dreams!
Learning Python is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! This course will help you in better understanding every detail of Data Structures and how algorithms are implemented in high level programming language.
We'll take you step-by-step through engaging video tutorials and teach you everything you need to succeed as a professional programmer.
After finishing this course, you will be able to:
Learn basic algorithmic techniques such as greedy algorithms, binary search, sorting and dynamic programming to solve programming challenges.
Learn the strengths and weaknesses of a variety of data structures, so you can choose the best data structure for your data and applications
Learn many of the algorithms commonly used to sort data, so your applications will perform efficiently when sorting large datasets
Learn how to apply graph and string algorithms to solve real-world challenges: finding shortest paths on huge maps and assembling genomes from millions of pieces.
Why this course is so special and different from any other resource available online?
This course will take you from very beginning to a very complex and advanced topics in understanding Data Structure and Algorithms!
You will get video lectures explaining concepts clearly with comprehensive visual explanations throughout the course.
You will also see Interview Questions done at the top technology companies such as Apple,Amazon, Google and Microsoft.
I cover everything you need to know about technical interview process!
So whether you are interested in learning the top programming language in the world in-depth
And interested in learning the fundamental Algorithms, Data Structures and performance analysis that make up the core foundational skillset of every accomplished programmer/designer or software architect and is excited to ace your next technical interview this is the course for you!
And this is what you get by signing up today:
Lifetime access to 32+ hours of HD quality videos. No monthly subscription. Learn at your own pace, whenever you want
All videos are downloadable. Learn wherever you want, even without an internet connection!
Friendly and fast support in the course Q&A whenever you have questions or get stuck
FULL money back guarantee for 30 days!
Who is this course for?
Self-taught programmers who have a basic knowledge in Python and want to be professional in Data Structure and Algorithm and begin interviewing in tech positions!
As well as students currently studying computer science and want supplementary material on Data Structure and Algorithm and interview preparation for after graduation!
As well as professional programmers who need practice for upcoming coding interviews.
And finally anybody interested in learning more about data structures and algorithms or the technical interview process!
This course is designed to help you to achieve your career goals. Whether you are looking to get more into Data Structure and Algorithm , increase your earning potential or just want a job with more freedom, this is the right course for you! Less
MERN stands for MongoDB, Express.js, React.js and ... MoreNode.js - and combined, these four technologies allow you to build amazing web applications
In this course we will be building FULL FLEDGED INSTAGRAM website and it will be a lots of fun as we building this together.
This course covers -
Building an backend API with Node.js & Express
Testing API using Postman
JWT based authentication
Image upload
Context API for state management
React Hooks
React Router hooks
Protecting routes or endpoints
Sending Emails
Forgot & Reset Password
This course is NOT an introduction course to React & Node js. It is fully hands on course for building full stacks websites using MERN Less
This course is designed to understand basic Concep... Moret of Machine Learning. Anyone can opt for this course. No prior understanding of Machine Learning is required. Data pre processing and Simple Linear Regression Concepts are covered in detail. Coding part is not covered, however wherever possible I have attached the code in the resources.
Now question is why this course?
This Course will not only teach you the basics of Machine learning and Simple Linear Regression. It will also cover in depth mathematical explanation of Cost function and use of Gradient Descent for Simple Linear Regression. Understanding these is must for a solid foundation before entering into Machine Learning World. This foundation will help you to understand all other algorithms and mathematics behind it. Less
