Another Vue.js 3 from zero to hero course - kind of. This course is for developers who want to move fast. We cover the traditional way of building Vue apps - the Options API - as well as the the new Composition API, and even see how you can mix and match them together.
There are 8 modules; 4 introduce fundamental skills (Options API; Composition API; Vuex and Vue Router). Every other module is a project, so you can see how to apply the fundamental skills in real apps. I am a big believer in learning by doing.
After covering Vue; we look at Vuex, Vue's state management solution, and Vue Router, for front-end routing. The course culminates with a capstone project, using the Vue trunity (Vue, Vuex, Vue Router) to build an application.
If you want to get started programming in Python, ... Moreyou are going to LOVE this course! This course is designed to fully immerse you in the Python language, so it is great for both beginners and veteran programmers! Learn Python as Nick takes you through the basics of programming, advanced Python concepts, coding a calculator, essential modules, creating a "Final Fantasy-esque" RPG battle script, web scraping, PyMongo, WebPy development, Django web framework, GUI programming, data visualization, machine learning, and much more!
We are grateful for the great feedback we have received!
"This course it great. Easy to follow and the examples show how powerful python can be for the beginner all the way to the advanced. Even if the RPG may not be your cup of tea it shows you the power of classes, for loops, and others!"
"Good course even for non-programmers too."
"It's really well explained, clear. Not too slow, not too fast."
"Very thorough, quick pace. I'm learning A TON! Thank you :)"
"Good explanation, nice and easy to understand. Great audio and video quality. I have been trying to get into Python programming for some time; still a long way to go, but so far so good!"
The following topics are covered in this course:
Django Web Framework
Graphical User Interface (GUI) Programming (PyQt)
This course is fully subtitled in English!
Thank you for taking the time to read this and we hope to see you in the course!
Who this course is for:
This course was designed for students with little to no programming experience
Developers familiar with Python can take their knowledge to the next level!
Students who go through the course can expect to walk away with a comprehensive understanding of Python Less
Core Java, OOPS, Collection, Exception Handling, D... Moreesign Pattern.
Core concepts of Java including Variables, datatypes, operators, control statements, arrays, packages, classpath, user-input and debugging Object Oriented Programming concepts with read life examples String with memory mapping Exception handling Java collections Design patterns And also you will learn how to debug code in eclipse. 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
You're in the right place. You can learn through t... Morehis course how to start, build and implement successful project strategy. You will get advice how to measure and follow-up your project strategy. This will certainly make your current or coming project successful from the beginning.
This course will help you
1. Understand project strategy principles
2. Start your project strategy from zero, linked to enterprise expectation
3. Build successful project strategy according to planned objectives
4. Implement planned and selected strategy into practice
5. Measure your success, recognize problems before failure
6. Avoid mistakes from start until end.
Have you had problems in your project scope, schedule or budget? Have you ever thought there could be better ways to success in projects? Enroll this course to learn more, be more successful and take your projects into next level.
It's important to understand both enterprise and project KPIs (Key Performance Indicators) and how they link to each other for expected outcomes. Project management is a function which will glue together many departments, teams and people for desired outcome. To make your project successful it needs to be strategic.
This course is designed for beginners and more advance project managers or project members. It will also help stakeholders like sponsors to understand how projects fail or success. You can take tips and tricks from this course into your toolbox and create a success! Enroll today!
Who this course is for:
Project team members
Project sponsors/other stakeholders Less
If you want to learn ethical hacking the fun and e... Moreasy way like playing a computer game, then this course is for you. There exists on the Internet several websites which allows people to hack and learn hacking. These websites typically have different levels from easy to advanced. By hacking each level and gradually levelling up, you will learn hacking. Traditionally, ethical hacking is taught by installing virtual machines on your PC and hacking the virtual machines inside your PC. This way of learning hacking can be pretty boring as there are no challenges or rewards. Also it can be quite laggy unless you have a high end machine. In addition, some people find learning Linux and installing virtual machines too troublesome.
In this course, I will show you an alternative way, which is more fun and where you will enjoy the thrills of hacking real websites legally and solving each level and going from easy and gradually to more advanced levels - just like paying online games. The website we will be hacking is HackThisSite!! which is a popular hacker's playground where hackers play hacking games reminiscent of CTF (Capture the Flag) and learn at the same time. However, without some help and guidance you will find it quite challenging. Hence this course. I will walk through each level from Basic to Realistic
You do not need to go through the hassle of installing virtual machines or Linux on your computer. All you need is a PC. In this course I am only using a Windows PC to do hacking.
Great way to learn Web Development & Information Technology (IT):
Last, but not least, the site creators of HackThisSite encourage you to literally hack their site to explore the security of their site and they will reward those who responsibly disclose their exploit with an entry into the HackThisSite hall of fame.
This course is backed by a 30-day money back guarantee. So, go ahead and enroll in this course now and start hacking the fun and easy way!
Who this course is for:
Web developers who have no knowledge on hacking
Students who want to learn hacking the fun way by hacking real websites (legally)
Those who enjoy computer games and want to try hacking as a game Less
What Is Included In This Course?
· Learn how t... Moreo make a PC game with GMS2
· Learn how to program games using GML (Gamemaker Language)
· Be trained by a serial entrepreneur who does this for a living!
This course does not cover animation or sound, we are focussing primarily on game maker language programming and teaching you pieces of code that you can then take and convert for use in your own games.
Here’s what some of my students have to say about my other courses:
"Lee ably shares a step-by-step means of becoming a profitable book publisher using Amazon KDP"
"Very helpful course, thanks Lee! Will be looking out for any follow-up courses Lee puts out to help us publishers become more profitable."
"Found it very useful as someone with almost no idea about how Kindle publishing works. The instructor is quite straightforward with not just information but also his own experiences and expertise"
"Straightforward, action-based and no BS (something hard to find in "make money online" courses these days lol)"
· 2020 course!. no outdated content!
· Get a demonstration of how to get started with game design Less
Build your essential knowledge with this hands-on,... More introductory course on the Java parallel computation using the popular Hadoop framework:
- Getting Started with Hadoop
- HDFS working mechanism
- MapReduce working mecahnism
- An anatomy of the Hadoop cluster
- Hadoop VM in pseudo-distributed mode
- Hadoop VM in distributed mode
- Elaborated examples in using MapReduce
Learn the Widely-Used Hadoop Framework
Apache Hadoop is an open-source software framework for storage and large-scale processing of data-sets on clusters of commodity hardware. Hadoop is an Apache top-level project being built and used by a global community of contributors and users. It is licensed under the Apache License 2.0.
All the modules in Hadoop are designed with a fundamental assumption that hardware failures (of individual machines, or racks of machines) are common and thus should be automatically handled in software by the framework. Apache Hadoop's MapReduce and HDFS components originally derived respectively from Google's MapReduce and Google File System (GFS) papers.
Who are using Hadoop for data-driven applications?
You will be surprised to know that many companies have adopted to use Hadoop already. Companies like Alibaba, Ebay, Facebook, LinkedIn, Yahoo! is using this proven technology to harvest its data, discover insights and empower their different applications!
Contents and Overview
As a software developer, you might have encountered the situation that your program takes too much time to run against large amount of data. If you are looking for a way to scale out your data processing, this is the course designed for you. This course is designed to build your knowledge and use of Hadoop framework through modules covering the following:
- Background about parallel computation
- Limitations of parallel computation before Hadoop
- Problems solved by Hadoop
- Core projects under Hadoop - HDFS and MapReduce
- How HDFS works
- How MapReduce works
- How a cluster works
- How to leverage the VM for Hadoop learning and testing
- How the starter program works
- How the data sorting works
- How the pattern searching
- How the word co-occurrence
- How the inverted index works
- How the data aggregation works
- All the examples are blended with full source code and elaborations
Come and join us! With this structured course, you can learn this prevalent technology in handling Big Data.
Who this course is for:
Data Scientists Less
Have you already got some experience in the C prog... Moreramming language but want to take it further? Then this course is for you.
This course will teach you all about creating internal data structures in C.
This course will teach you how to create the following:
Linked List Implementation
Double Linked List Implementation
Array List Implementation
Binary Tree Implementation
All of the implementations described above will be created on video from scratch! You will learn how all of these work internally and when they should be used. This course is a "must have" for someone who has learned the fundamentals of the C Programming Language
Who this course is for:
C programmers who want to learn how to develop data structures in their applications Less
UPDATE FOR 2020 with Tanmay's latest knowledge on ... MoreAgile Scrum Certification!
This course is about learning the latest Agile Scrum methodology for the Software development field. In this course, you will learn all other Agile methodologies along with detailed information on Scrum.
By this course, experienced project managers can grow in their careers and get the next level of opportunity as an Agile Scrum Master and the junior team members can learn the process of the Agile Scrum methodology.
The biggest target audience is at any experience level who wants to learn Agile Scrum in detail and apply in the career!!!
Who this course is for:
Project Managers who would like to be an Agile Scrum Master
Qualifying Agile Scrum Master Certification Exam
People who want to learn about Agile Scrum
Developers, BAs, Architects, Analysts, Designers, Managers, etc Less
Apache Kafka has become the leading distributed da... Moreta streaming enterprise big data technology. Kafka is used in production by over 33% of the Fortune 500 companies such as Netflix, Airbnb, Uber, Walmart, and LinkedIn.
To learn Kafka easily, step-by-step, you have come to the right place! No prior Kafka knowledge is required.
If you look at the documentation, you can see that Apache Kafka is not easy to learn...
Thanks to my several years of experience in Kafka and Big Data, I wanted to make learning Kafka accessible to everyone.
We'll take a step-by-step approach to learn all the fundamentals of Apache Kafka.
At the end of this course, you'll be productive and you'll know the following:
The Apache Kafka Ecosystem Architecture
The Kafka Core Concepts: Topics, Partitions, Brokers, Replicas, Producers, Consumers, and more!
Launch your own Kafka cluster in no time using native Kafka binaries – Windows / MacOS X / Linux
Learn and Practice using the Kafka Command Line Interface (CLI)
Code Producer and Consumers using the Java API
Real-world project using Twitter as a source of data for a producer and ElasticSearch as a sink for our consumer
Note: The hands-on section is based on Java, which is the native Kafka programming language. But, good news! Your learning in Java will be completely applicable to other programming languages, such as Python, C#, Node.js or Scala, and Big Data frameworks such as Spark, NiFi or Akka.
Who this course is for:
Developers who want to learn the Apache Kafka Fundamentals, start a cluster and write their first application
Architects who want to understand how Apache Kafka fits into their solution architecture
Anyone looking to learn the full theory of how Apache Kafka works as a distributed system Less
What are the chart types I will learn in this cour... Morese?
Excel offers the following major chart types. All of these are covered in this course
XY (Scatter) Chart
And many other creative ones :)
How are charts useful in Excel?
A chart is a tool you can use in Excel to communicate data graphically. Charts allow your audience to see the meaning behind the numbers, and they make showing comparisons and trends much easier.
What are the benefits of using charts in Excel?
Excel charts allow spreadsheet administrators to create visualizations of data sets. By highlighting a set of data within an Excel spreadsheet and feeding it into the charting tool, users can easily create various types of charts in which the data is displayed in a graphical way.
This course will answer all the questions that would pop up while you set to visualize your data using Excel charts such as:
How do you make Excel charts look better?
How do you format a chart in Excel?
What are the different elements of charts?
How do I make those awesome infographics that I see in fancy magazines and TV reports?
How do I create a comparison chart in Excel?
What is the best chart to use for comparison?
And many more...
How is this course different from other resources available online?
Most courses cover only teach how to draw different types of charts in Excel. The main point is missed. The main point of creating a chart is that you want to convey a message or tell a story using the chart. In this course, once you have learnt all the charting tools, you will also learn how you should create a chart. How you can highlight your message and avoid clutter in the chart, so that when your audience looks at the chart, the message is clearly conveyed to them.
Who this course is for:
Anyone curious to master charts in excel from beginner to advanced in short span of time Less
This course intends to help you in your understand... Moreing of using Microsoft Excel. After taking the course you will be confident to us the tool in your everyday life. The knowledge of Excel improves efficiency in the workplace you can gain mastery over crucial Microsoft Excel tools and functions that will enhance efficiency and accelerate performance.
You will learn all about formulas and functions in Microsoft Excel. You will learn how to manipulate both numbers and text. You will be able to create charts so you can share the information graphically to your clients and colleagues.
Who this course is for:
Anyone who wants to move ahead in life Less
Angular is a TypeScript-based open-source front-en... Mored web application platform led by the Angular Team at Google and by a community of individuals and corporations to address all of the parts of the developer's workflow while building complex web applications. Angular is a complete rewrite from the same team that built AngularJS.
This course is for existing Java developers who want to learn the popular Angular framework for developing front-end Web interfaces.
Who this course is for:
web developers, .net developers, java developers, python developers 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
Context API for state management
React Router hooks
Protecting routes or endpoints
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
You're looking for a complete Decision tree course... More that teaches you everything you need to create a Decision tree/ Random Forest/ XGBoost model in Python, right?
You've found the right Decision Trees and tree based advanced techniques course!
After completing this course you will be able to:
Identify the business problem which can be solved using Decision tree/ Random Forest/ XGBoost of Machine Learning.
Have a clear understanding of Advanced Decision tree based algorithms such as Random Forest, Bagging, AdaBoost and XGBoost
Create a tree based (Decision tree, Random Forest, Bagging, AdaBoost and XGBoost) model in Python and analyze its result.
Confidently practice, discuss and understand Machine Learning concepts
How this course will help you?
A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning advanced course.
If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the advanced technique of machine learning, which are Decision tree, Random Forest, Bagging, AdaBoost and XGBoost.
Why should you choose this course?
This course covers all the steps that one should take while solving a business problem through Decision tree.
Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your 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 machine 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 150,000 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
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 Quizzes, and complete Assignments
With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning.
What is covered in this course?
This course teaches you all the steps of creating a decision tree based model, which are some of the most popular Machine Learning model, to solve business problems.
Below are the course contents of this course on Linear Regression:
Section 1 - Introduction to Machine Learning
In this section we will learn - What does Machine Learning mean. What are the meanings or different terms associated with machine learning? You will see some examples so that you understand what machine learning actually is. It also contains steps involved in building a machine learning model, not just linear models, any machine learning model.
Section 2 - Python basic
This section gets you started with Python.
This section will help you set up the python and Jupyter environment on your system and it'll teach you how to perform some basic operations in Python. We will understand the importance of different libraries such as Numpy, Pandas & Seaborn.
Section 3 - Pre-processing and Simple Decision trees
In this section you will learn what actions you need to take to prepare it 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. In the end we will create and plot a simple Regression decision tree.
Section 4 - Simple Classification Tree
This section we will expand our knowledge of regression Decision tree to classification trees, we will also learn how to create a classification tree in Python
Section 5, 6 and 7 - Ensemble technique
In this section we will start our discussion about advanced ensemble techniques for Decision trees. Ensembles techniques are used to improve the stability and accuracy of machine learning algorithms. In this course we will discuss Random Forest, Baggind, Gradient Boosting, AdaBoost and XGBoost.
By the end of this course, your confidence in creating a Decision tree model in Python will soar. You'll have a thorough understanding of how to use Decision tree modelling to create predictive models and solve business problems.
Go ahead and click the enroll button, and I'll see you in lesson 1!
Below is a list of popular FAQs of students who want to start their Machine learning journey-
What is Machine Learning?
Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
What are the steps I should follow to be able to build a Machine Learning model?
You can divide your learning process into 4 parts:
Statistics and Probability - Implementing Machine learning techniques require basic knowledge of Statistics and probability concepts. Second section of the course covers this part.
Understanding of Machine learning - Fourth section helps you understand the terms and concepts associated with Machine learning and gives you the steps to be followed to build a machine learning model
Programming Experience - A significant part of machine learning is programming. Python and R clearly stand out to be the leaders in the recent days. Third section will help you set up the Python environment and teach you some basic operations. In later sections there is a video on how to implement each concept taught in theory lecture in Python
Understanding of Linear Regression modelling - Having a good knowledge of Linear Regression gives you a solid understanding of how machine learning works. Even though Linear regression is the simplest technique of Machine learning, it is still the most popular one with fairly good prediction ability. Fifth and sixth section cover Linear regression topic end-to-end and with each theory lecture comes a corresponding practical lecture where we actually run each query with you.
Why use Python for data Machine Learning?
Understanding Python is one of the valuable skills needed for a career in Machine Learning.
Though it hasn’t always been, Python is the programming language of choice for data science. Here’s a brief history:
In 2016, it overtook R on Kaggle, the premier platform for data science competitions.
In 2017, it overtook R on KDNuggets’s annual poll of data scientists’ most used tools.
In 2018, 66% of data scientists reported using Python daily, making it the number one tool for analytics professionals.
Machine Learning experts expect this trend to continue with increasing development in the Python ecosystem. And while your journey to learn Python programming may be just beginning, it’s nice to know that employment opportunities are abundant (and growing) as well.
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 Data journey
Statisticians needing more practical experience
Anyone curious to master Decision Tree technique from Beginner to Advanced in short span of time 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.
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:
Solutions Architecters Less
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:
OOP For understanding data structures
Doubly Linked Lists
Circular Linked Lists
Binary Search Trees + Traversals
Heaps + Heap sort
Graphs + Properties
Spanning Trees + MST
Prims + Kruskals Algorithms for MST
Tries (Keyword Trees)
Take Away Section. Less