|Course or Certification Name||Category||Location||Mode of learning|
|Automate the Boring Stuff with Python Programming||Online self study|
|NLP - Natural Language Processing with Python||Online self study|
|Python for Computer Vision with OpenCV and Deep Learning||Online self study|
|Python and Django Full Stack Web Developer Bootcamp||Online self study|
|Complete Python Developer in 2020: Zero to Mastery||Online self study|
|Data Science Online Training Course||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Internet of Things Intermediate Online Instructor led certification||Internet of Things||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|The Python Mega Course: Build 10 Real World Applications||Online self study|
|Python A-Z„¢: Python For Data Science With Real Exercises!||Online self study|
|Complete Python Bootcamp: Go from zero to hero in Python 3||Online self study|
|Spark and Python for Big Data with PySpark||Online self study|
|Clustering & Classification With Machine Learning in Python||Machine Learning||Online self study|
|Complete Machine Learning and Data Science: Zero to Mastery||Online self study|
|The Complete Python 3 Course: Beginner to Advanced!||Data Science||Online self study|
|Certified Social Media Marketing Master - Online||Social media marketing||Online self study|
If you're an office worker, student, administrator, or just want to become more productive with your computer, programming will allow you write code that can automate tedious tasks. This course follows the popular (and free!) book, Automate the Boring Stuff with Python. Automate the Boring Stuff with Python was written for people who want to get up to speed writing small programs that do practical tasks as soon as possible. You don't need to know sorting algorithms or object-oriented programming, so this course skips all the computer science and concentrates on writing code that gets stuff done. This course is for complete beginners and covers the popular Python programming language. You'll learn basic concepts as well as: Web scrapingParsing PDFs and Excel spreadsheetsAutomating the keyboard and mouseSending emails and textsAnd several other practical topics By the end of this course, you'll be able to write code that not only dramatically increases your productivity, but also be able to list this fun and creative skill on your resume.
Welcome to the best Natural Language Processing course on the internet! This course is designed to be your complete online resource for learning how to use Natural Language Processing with the Python programming language. In the course we will cover everything you need to learn in order to become a world class practitioner of NLP with Python. We'll start off with the basics, learning how to open and work with text and PDF files with Python, as well as learning how to use regular expressions to search for custom patterns inside of text files. Afterwards we will begin with the basics of Natural Language Processing, utilizing the Natural Language Toolkit library for Python, as well as the state of the art Spacy library for ultra fast tokenization, parsing, entity recognition, and lemmatization of text. We'll understand fundamental NLP concepts such as stemming, lemmatization, stop words, phrase matching, tokenization and more! Next we will cover Part-of-Speech tagging, where your Python scripts will be able to automatically assign words in text to their appropriate part of speech, such as nouns, verbs and adjectives, an essential part of building intelligent language systems. We'll also learn about named entity recognition, allowing your code to automatically understand concepts like money, time, companies, products, and more simply by supplying the text information. Through state of the art visualization libraries we will be able view these relationships in real time. Then we will move on to understanding machine learning with Scikit-Learn to conduct text classification, such as automatically building machine learning systems that can determine positive versus negative movie reviews, or spam versus legitimate email messages. We will expand this knowledge to more complex unsupervised learning methods for natural language processing, such as topic modelling, where our machine learning models will detect topics and major concepts from raw text files. This course even covers advanced topics, such as sentiment analysis of text with the NLTK library, and creating semantic word vectors with the Word2Vec algorithm. Included in this course is an entire section devoted to state of the art advanced topics, such as using deep learning to build out our own chat bots! Not only do you get fantastic technical content with this course, but you will also get access to both our course related Question and Answer forums, as well as our live student chat channel, so you can team up with other students for projects, or get help on the course content from myself and the course teaching assistants. All of this comes with a 30 day money back garuantee, so you can try the course risk free. What are you waiting for? Become an expert in natural language processing today! I will see you inside the course, Jose
Welcome to the ultimate online course on Python for Computer Vision! This course is your best resource for learning how to use the Python programming language for Computer Vision. We'll be exploring how to use Python and the OpenCV (Open Computer Vision) library to analyze images and video data. The most popular platforms in the world are generating never before seen amounts of image and video data. Every 60 seconds users upload more than 300 hours of video to Youtube, Netflix subscribers stream over 80,000 hours of video, and Instagram users like over 2 million photos! Now more than ever its necessary for developers to gain the necessary skills to work with image and video data using computer vision. Computer vision allows us to analyze and leverage image and video data, with applications in a variety of industries, including self-driving cars, social network apps, medical diagnostics, and many more. As the fastest growing language in popularity, Python is well suited to leverage the power of existing computer vision libraries to learn from all this image and video data. In this course we'll teach you everything you need to know to become an expert in computer vision! This $20 billion dollar industry will be one of the most important job markets in the years to come. We'll start the course by learning about numerical processing with the NumPy library and how to open and manipulate images with NumPy. Then will move on to using the OpenCV library to open and work with image basics. Then we'll start to understand how to process images and apply a variety of effects, including color mappings, blending, thresholds, gradients, and more. Then we'll move on to understanding video basics with OpenCV, including working with streaming video from a webcam. Afterwards we'll learn about direct video topics, such as optical flow and object detection. Including face detection and object tracking. Then we'll move on to an entire section of the course devoted to the latest deep learning topics, including image recognition and custom image classifications. We'll even cover the latest deep learning networks, including the YOLO (you only look once) deep learning network. This course covers all this and more, including the following topics: NumPy Images with NumPy Image and Video Basics with NumPy Color Mappings Blending and Pasting Images Image Thresholding Blurring and Smoothing Morphological Operators Gradients Histograms Streaming video with OpenCV Object Detection Template Matching Corner, Edge, and Grid Detection Contour Detection Feature Matching WaterShed Algorithm Face Detection Object Tracking Optical Flow Deep Learning with Keras Keras and Convolutional Networks Customized Deep Learning Networks State of the Art YOLO Networks and much more! Feel free to message me on Udemy if you have any questions about the course! Thanks for checking out the course page, and I hope to see you inside! Jose
Become a complete Python developer! Join a live online community of over 140,000+ developers and a course taught by an industry expert that has actually worked both in Silicon Valley and Toronto. This is a brand new Python course just launched September 2019! Graduates of Andrei‚ s courses are now working at Google, Amazon, Apple, IBM, JP Morgan, Facebook, + other top tech companies. Learn Python from scratch, get hired, and have fun along the way with the most modern, up-to-date Python course on Udemy (we use the latest version of Python). This course is focused on efficiency: never spend time on confusing, out of date, incomplete Python tutorials anymore. This comprehensive and project based course will introduce you to all of the modern skills of a Python developer (Python 3) and along the way, we will build over 12 real world projects to add to your portfolio (You will get access to all the the code from the 12+ projects we build, so that you can put them on your portfolio right away)! The curriculum is going to be very hands on as we walk you from start to finish of 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: - Programming Fundamentals - 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 - Virtual Environments - Developer Environments (PyCharm, Jupyter Notebooks, VS Code, Sublime Text + more) - File Processing: Image, CSV, PDFs, Text + more - Web Development with Python - Machine Learning with Python - Data Science with Python - Automation with Python and Selenium - Scripting with Python - Web Scraping with Python and BeautifulSoup - Image Detection - Data Visualizations - Kaggle, Pandas, NumPy, scikit-learn - Email and SMS with Python - Working with APIs (Twitter Bot, Password Checker, Translator) By the end of this course, you will be a complete Python developer that can get hired at large companies. We are going to use Python to work with Email, Text Messages, CSV files, PDF files, Image Files, Data Visualizations, build our own machine learning model and perform Image detection. We are going to build a web scraper for HackerNews, build a Twitter bot, build the most secure password checker and we will also build some automation tools using Selenium. But the best part? We will build an actual portfolio website using Python that your future employer and customers can contact you at. By the end, you will have a stack of projects you have built that you can show off to others. Here‚ s the truth: Most courses teach you Python and do just that. They show you how to get started. But the thing is you don‚ know where to go from there or how to build your own projects. Whether you are new to programming, or want to level up your Python skills, or are coming from a different programming language, this course is for you. This course is not about making you just code along without understanding the principles so that when you are done with the course you don‚ know what to do other than watch another tutorial. No! This course will push you and challenge you to go from an absolute beginner with no coding experience to someone that can go off, forget about me, and build their own applications and get hired. Taught By: Andrei Neagoie is the instructor of the highest rated Development courses on Udemy as well as one of the fastest growing. His graduates have moved on to work for some of the biggest tech companies around the world like Apple, Google, Amazon, JP Morgan, IBM, UNIQLO etc... He has been working as a senior software developer in Silicon Valley and Toronto for many years, and is now taking all that he has learned, to teach programming skills and to help you discover the amazing career opportunities that being a developer allows in life. Having been a self taught programmer, he understands that there is an overwhelming number of online courses, tutorials and books that are overly verbose and inadequate at teaching proper skills. Most people feel paralyzed and don't know where to start when learning a complex subject matter, or even worse, most people don't have $20,000 to spend on a coding bootcamp. Programming skills should be affordable and open to all. An education material should teach real life skills that are current and they should not waste a student's valuable time. Having learned important lessons from working for Fortune 500 companies, tech startups, to even founding his own business, he is now dedicating 100% of his time to teaching others valuable software development skills in order to take control of their life and work in an exciting industry with infinite possibilities. Andrei promises you that there are no other courses out there as comprehensive and as well explained. He believes that in order to learn anything of value, you need to start with the foundation and develop the roots of the tree. Only from there will you be able to learn concepts and specific skills(leaves) that connect to the foundation. Learning becomes exponential when structured in this way. Taking his experience in educational psychology and coding, Andrei's courses will take you on an understanding of complex subjects that you never thought would be possible. See you inside the course!
Data Science or data-driven science is that field that enables one to extract insights from data using scientific processes. Data Science Online Training course enables you to understand the practical foundations, analyse and execute Big Data to Data Analytics projects. This course also covers advanced analytic methods and tools like MapR and Hadoop. It allows students to understand the applications of these methods and tools by getting hands-on experience working alongside real time data scientists.
IoT extends the Internet from mostly used devices like desktop and portable computers, Smartphones and tablets to various variants of devices and everyday things that utilize embedded technology to speak and act with the external surroundings, all via net. Learn how you can derive deep business insight from the Internet of Things (IoT) while boosting your skills from Collabera TACT and be future ready. By 2020 the number of devices connected is predicted to reach a whopping 25 Billion across the globe. With such great magnitude of work being done in the field, IoT has become one of the hottest skills for job seekers in recent times. Programmers, Developers, Engineers and Network Experts are believed to be the primary beneficiaries of IoT.
The Python Mega Course is the most practical course you will find on the web today. So far, over 140,000 students have used the course to learn Python programming and to build real-world applications in Python 3. You will learn how to build Python apps during this course, even if you know nothing about programming. You will start from scratch and progressively build up your skills by creating some awesome Python programs ranging from webcam object detection apps, to data collector web apps that query data from SQL databases, to data visualization dashboards on the browser. The course has it all to make you an all-round Python programmer that not only knows Python but also the technologies you need to know to create professional applications. The course follows a modern-teaching approach where students learn by doing . You will start Python from scratch by creating simple programs first. Once you learn the basics, you will then start with the fun part, which is building 10 real-world applications. You will code the apps, guided step-by-step by easy video explanations and continuous support from the course instructor. The applications you will build in the course consist of database apps , web apps , desktop apps , web scraping scripts , webcam object detectors , web maps , data visualization dashboards , and more. These programs are not only great examples to help master Python, but you can also use them for your portfolio. By buying the course you will gain lifetime access to all of its videos, coding exercises, quizzes, code notebooks, cheat sheets, and the Q&A inside the course, where you can ask your questions and get an answer on the same day. On top of that, you are covered by the Udemy 30-day money-back guarantee , so you can easily return the course if you don't like it. If you don't know anything about Python, do not worry! In the first 12 sections, you will learn Python basics such as functions, loops, and conditionals and learn how to apply the basics by doing some examples. If you already know the basics, then the first 12 sections can serve as a refresher. The other 20 sections focus entirely on building real-world applications. The applications you will build cover a wide range of interesting topics: Web applications Desktop applications Database applications Web scraping Web mapping Data analysis Data visualization Computer vision Object-Oriented Programming Specifically, the 10 Python applications you will build are: A program that returns English-word definitions A program that blocks access to distracting websites A web map visualizing volcanoes and population data A portfolio website A desktop-graphical program with a database backend A webcam motion detector A web scraper of real estate data An interactive web graph A database web application A web service that converts addresses to geographic coordinates To consider yourself a professional programmer you need to know how to write professional programs and there's no other course that teaches you that, so join thousands of other students who have successfully applied their Python skills in the real world. Sign up and start learning the amazing Python programming language today! Frequently Asked Questions Will I be able to learn Python and find a job after completing this course? I have heard of quite a few success stories where students have rigorously followed the course and have found a job afterwards. However, whether you will be able to learn Python and be job-ready, heavily depends on you. If you merely watch the videos, without trying anything on your own, you will hardly learn anything. Instead, you have to try the code you see in the videos on your computer, change the code, run it, improve it further, run it again, fix the possible errors, try making a similar app, repeat, ask questions in the Q&A when you get stuck, and try to solve all the exercises in the course. That way you will certainly learn how to program with Python and be able to find a job. How much time will I need to complete the course? That depends on two factors: (1) Your background: Someone coming from a math or computer science background may be able to complete the course in a shorter time compared to someone coming from a social science background for example. (2) The effort you put in: If you just watch the videos, you may finish the course in two days. However, simply watching the videos is not enough. You need to experiment with the code you see in the videos. The more you experiment with it the better you become. Depending on the two factors I mentioned above, students spend from one week to three months to complete the course, most spending one month. I don't know anything about programming. Will I still be able to learn Python? This course assumes you have no previous knowledge of programming. Whenever a programming term is mentioned (e. G. a variable) the meaning of the term is explained thoroughly so you not only understand how to use that particular term in Python, you also understand what that term means in programming. Will I get support if I get stuck? Yes. Feel free to drop a question in the Q&A, and me, or my teaching assistant, will answer your questions within the same day. Does this course cover Python 2 or Python 3? Python 3 What IDE/editor is used in the course? Visual Studio Code is used in the course. It is very new and probably the best IDE that exists today. However, you can use your favorite IDE. The code will work the same, no matter the IDE. Does the course expire? No. Once you buy the course it's yours. I update the content regularly and all the updates are also included for free in the one-time purchase you make.
Learn Python Programming by doing! There are lots of Python courses and lectures out there. However, Python has a very steep learning curve and students often get overwhelmed. This course is different! This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward. After every video you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples. This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises. In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course! I can't wait to see you in class, Sincerely, Kirill Eremenko
Become a Python Programmer and learn one of employer's most requested skills of 2018! This is the most comprehensive, yet straight-forward, course for the Python programming language on Udemy! Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of Python, this course is for you! In this course we will teach you Python 3. (Note, we also provide older Python 2 notes in case you need them) With over 100 lectures and more than 20 hours of video this comprehensive course leaves no stone unturned! This course includes quizzes, tests, and homework assignments as well as 3 major projects to create a Python project portfolio! This course will teach you Python in a practical manner, with every lecture comes a full coding screencast and a corresponding code notebook! Learn in whatever manner is best for you! We will start by helping you get Python installed on your computer, regardless of your operating system, whether its Linux, MacOS, or Windows, we've got you covered! We cover a wide variety of topics, including: Command Line BasicsInstalling PythonRunning Python CodeStringsLists DictionariesTuplesSetsNumber Data TypesPrint FormattingFunctionsScopeargs/kwargsBuilt-in FunctionsDebugging and Error HandlingModulesExternal ModulesObject Oriented ProgrammingInheritancePolymorphismFile I/OAdvanced MethodsUnit Testsand much more! You will get lifetime access to over 100 lectures plus corresponding Notebooks for the lectures! This course comes with a 30 day money back guarantee! If you are not satisfied in any way, you'll get your money back. Plus you will keep access to the Notebooks as a thank you for trying out the course! So what are you waiting for? Learn Python in a way that will advance your career and increase your knowledge, all in a fun and practical way!
Learn the latest Big Data Technology - Spark! And learn to use it with one of the most popular programming languages, Python! One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically designed to bring you up to speed on one of the best technologies for this task, Apache Spark ! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Spark to solve their big data problems!Spark can perform up to 100x faster than Hadoop MapReduce , which has caused an explosion in demand for this skill! Because the Spark 2.0 DataFrame framework is so new, you now have the ability to quickly become one of the most knowledgeable people in the job market! This course will teach the basics with a crash course in Python, continuing on to learning how to use Spark DataFrames with the latest Spark 2.0 syntax! Once we've done that we'll go through how to use the MLlib Machine Library with the DataFrame syntax and Spark. All along the way you'll have exercises and Mock Consulting Projects that put you right into a real world situation where you need to use your new skills to solve a real problem! We also cover the latest Spark Technologies, like Spark SQL, Spark Streaming, and advanced models like Gradient Boosted Trees! After you complete this course you will feel comfortable putting Spark and PySpark on your resume! This course also has a full 30 day money back guarantee and comes with a LinkedIn Certificate of Completion! If you're ready to jump into the world of Python, Spark, and Big Data, this is the course for you!
This course covers main aspect of practical data science and if you take this course, you can do away with taking other courses or buying books on Python based data science.This course will give you a robust grounding in the main aspects of machine learning- clustering & classification.
Become a complete Data Scientist and Machine Learning engineer! Join a live online community of 180,000+ developers and a course taught by industry experts that have actually worked for large companies in places like Silicon Valley and Toronto. This is a brand new Machine Learning and Data Science course just launched January 2020! Graduates of Andrei's courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, + other top tech companies. Learn Data Science and Machine Learning from scratch, get hired, and have fun along the way with the most modern, up-to-date Data Science course on Udemy (we use the latest version of Python, Tensorflow 2.0 and other libraries). This course is focused on efficiency: never spend time on confusing, out of date, incomplete Machine Learning tutorials anymore. We are pretty confident that this is the most comprehensive and modern course you will find on the subject anywhere (bold statement, we know). This comprehensive and project based course will introduce you to all of the modern skills of a Data Scientist and along the way, we will build many real world projects to add to your portfolio. You will get access to all the code, workbooks and templates (Jupyter Notebooks) on Github, so that you can put them on your portfolio right away! We believe this course solves the biggest challenge to entering the Data Science and Machine Learning field: having all the necessary resources in one place and learning the latest trends and on the job skills that employers want. The curriculum is going to be very hands on as we walk you from start to finish of becoming a professional Machine Learning and Data Science engineer. The course covers 2 tracks. If you already know programming, you can dive right in and skip the section where we teach you Python from scratch. If you are completely new, we take you from the very beginning and actually teach you Python and how to use it in the real world for our projects. Don't worry, once we go through the basics like Machine Learning 101 and Python, we then get going into advanced topics like Neural Networks, Deep Learning and Transfer Learning so you can get real life practice and be ready for the real world (We show you fully fledged Data Science and Machine Learning projects and give you programming Resources and Cheatsheets)! The topics covered in this course are: - Data Exploration and Visualizations - Neural Networks and Deep Learning - Model Evaluation and Analysis - Python 3 - Tensorflow 2.0 - Numpy - Scikit-Learn - Data Science and Machine Learning Projects and Workflows - Data Visualization in Python with MatPlotLib and Seaborn - Transfer Learning - Image recognition and classification - Train/Test and cross validation - Supervised Learning: Classification, Regression and Time Series - Decision Trees and Random Forests - Ensemble Learning - Hyperparameter Tuning - Using Pandas Data Frames to solve complex tasks - Use Pandas to handle CSV Files - Deep Learning / Neural Networks with TensorFlow 2.0 and Keras - Using Kaggle and entering Machine Learning competitions - How to present your findings and impress your boss - How to clean and prepare your data for analysis - K Nearest Neighbours - Support Vector Machines - Regression analysis (Linear Regression/Polynomial Regression) - How Hadoop, Apache Spark, Kafka, and Apache Flink are used - Setting up your environment with Conda, MiniConda, and Jupyter Notebooks - Using GPUs with Google Colab By the end of this course, you will be a complete Data Scientist that can get hired at large companies. We are going to use everything we learn in the course to build professional real world projects like Heart Disease Detection, Bulldozer Price Predictor, Dog Breed Image Classifier, and many more . By the end, you will have a stack of projects you have built that you can show off to others. Here's the truth: Most courses teach you Data Science and do just that. They show you how to get started. But the thing is, you don't know where to go from there or how to build your own projects. Or they show you a lot of code and complex math on the screen, but they don't really explain things well enough for you to go off on your own and solve real life machine learning problems. Whether you are new to programming, or want to level up your Data Science skills, or are coming from a different industry, this course is for you. This course is not about making you just code along without understanding the principles so that when you are done with the course you don't know what to do other than watch another tutorial. No! This course will push you and challenge you to go from an absolute beginner with no Data Science experience, to someone that can go off, forget about Daniel and Andrei, and build their own Data Science and Machine learning workflows. Machine Learning has applications in Business Marketing and Finance, Healthcare, Cybersecurity, Retail, Transportation and Logistics, Agriculture, Internet of Things, Gaming and Entertainment, Patient Diagnosis, Fraud Detection, Anomaly Detection in Manufacturing, Government, Academia/Research, Recommendation Systems and so much more. The skills learned in this course are going to give you a lot of options for your career. You hear statements like Artificial Neural Network, or Artificial Intelligence (AI), and by the end of this course, you will finally understand what these mean! Click Enroll Nowand join others in our community to get a leg up in the industry, and learn Data Scientist and Machine Learning. We guarantee this is better than any bootcamp or online course out there on the topic. See you inside the course! Taught By: Andrei Neagoie is the instructor of the highest rated Development courses on Udemy as well as one of the fastest growing. His graduates have moved on to work for some of the biggest tech companies around the world like Apple, Google, Amazon, JP Morgan, IBM, UNIQLO etc... He has been working as a senior software developer in Silicon Valley and Toronto for many years, and is now taking all that he has learned, to teach programming skills and to help you discover the amazing career opportunities that being a developer allows in life. Having been a self taught programmer, he understands that there is an overwhelming number of online courses, tutorials and books that are overly verbose and inadequate at teaching proper skills. Most people feel paralyzed and don't know where to start when learning a complex subject matter, or even worse, most people don't have $20,000 to spend on a coding bootcamp. Programming skills should be affordable and open to all. An education material should teach real life skills that are current and they should not waste a student's valuable time. Having learned important lessons from working for Fortune 500 companies, tech startups, to even founding his own business, he is now dedicating 100% of his time to teaching others valuable software development skills in order to take control of their life and work in an exciting industry with infinite possibilities. Andrei promises you that there are no other courses out there as comprehensive and as well explained. He believes that in order to learn anything of value, you need to start with the foundation and develop the roots of the tree. Only from there will you be able to learn concepts and specific skills(leaves) that connect to the foundation. Learning becomes exponential when structured in this way. Taking his experience in educational psychology and coding, Andrei's courses will take you on an understanding of complex subjects that you never thought would be possible. See you inside the course!
Social media marketing is the use of social media platforms and websites to promote a product or service. With the exponential growth of users present in some of the prominent social media platforms, it has become one of the important areas of marketing for businesses. | This Certified Social Media Marketing Master – Online course has been developed by some of the experts in the industry to provide students with an advanced understanding of marketing through social | The course offers high-quality online content and help professionals to boost their career | It covers a wide range of topics, including increasing web traffic and brand reputation management | The candidates are awarded a course-completion certification