|Course or Certification Name||Category||Location||Mode of learning|
|Python Certification Training for Data Science||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Edureka Machine Learning Certification Training using Python||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|The Python Mega Course: Build 10 Real World Applications||Data Analysis||Online self study|
|NLP - Natural Language Processing with Python||Data Science||Online self study|
|Python for Computer Vision with OpenCV and Deep Learning||Data Analysis||Online self study|
|Python and Django Full Stack Web Developer Bootcamp||Emerging Web Technologies||Online self study|
|Complete Python Bootcamp: Go from zero to hero in Python 3||Data Analysis||Online self study|
|Spark and Python for Big Data with PySpark||Big Data||Online self study|
|Automate the Boring Stuff with Python Programming||Data Analysis||Online self study|
|Selenium WebDriver With Python 3.x - Novice To Ninja||Trending Software Testing Tools||Online self study|
|Using Databases with Python||Data Science||Online self study|
|Python Data Structures||Data Science||Online self study|
|Programming for Everybody (Getting Started with Python)||Data Science||Online self study|
|Python: Getting Started||Data Science||Online self study|
|Python 3 Programming Specialization||Data Science||Online self study|
Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing | Edureka's Python Certification Training not only focuses on fundamentals of Python, Statistics and Machine Learning but also helps one gain expertise in applied Data Science at scale using Python. The training is a step by step guide to Python and Data Science with extensive hands on. The course is packed with several activity problems and assignments and scenarios that help you gain practical experience in addressing predictive modeling problem that would either require Machine Learning using Python. Starting from basics of Statistics such as mean, median and mode to exploring features such as Data Analysis, Regression, Classification, Clustering, Naive Bayes, Cross Validation, Label Encoding, Random Forests, Decision Trees and Support Vector Machines with a supporting example and exercise help you get into the weeds | Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to train your machine based on real-life scenarios using Machine Learning Algorithms | EdurekaÃ¢Â€Â™s Python course will also cover both basic and advanced concepts of Python like writing Python scripts, sequence and file operations in Python. You will use libraries like pandas, numpy, matplotlib, scikit, and master the concepts like Python machine learning, scripts, and sequence.
EdurekaÃ¢Â€Â™s Machine Learning Certification Training using Python helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, NaÃƒÂ¯ve Bayes and Q-Learning. This Machine Learning using Python Training exposes you to concepts of Statistics, Time Series and different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. Throughout the Data Science Certification Course, youÃ¢Â€Â™ll be solving real-life case studies on Media, Healthcare, Social Media, Aviation, HR.
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.
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 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!
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.
Best Selenium WebDriver With Python Programming Language Course Complete Framework Implementation From Scratch This course includes a wide range of topics from Selenium WebDriver Basics andAdvanced, Python Programming Concepts , Unittest And Pytest Framework , Automation Framework Design (Page Objects, Data Driven, Reading CSV Files), Logging Infrastructure , Cross-Browser Testing, Interview Preparation . All materials including code files . You achieve two targets with one single courseComplete Python Programming LanguageSelenium WebDriver Automation Why Python Programming Language? Python Programming Language is the fastest growing programming language within both the fields, development and testing. QA industry is rapidly progressing to move on with Python Programming Language for all the automation needs because of the flexibility it offers. ** One stop place to become an Expert in Web Automation Framework related technologies from scratch ** We start from Beginners level and go through Advance level. This is a single course for everything you need to know related to Web UI Automation. WHAT MAKES THIS COURSE BEST ON UDEMY? ** We assume that students have no experience in automation/coding and start every topic from scratch and basics. Examples are taken from TESTING REAL TIME HOSTED WEB APPLICATIONS to understand how different components can be automated, that will give you idea of industry level framework and give you confidence. NO PRIOR CODING OR AUTOMATION EXPERIENCE NEEDED , this course covers all the necessary topics. Get more than 20 hours of unique content with real example code files provided to refer and learn with examples. Get awesome Support, on demand desktop session on Team Viewer and Skype. * Join the group of more than 25000 students learning from us in different courses with positive feedback. Are you looking to step into automation industry with the latest technologies in market? Are you keen to learn GUI automation using Selenium WebDriver With Python Programming Language and other latest framework technologies? Interested in learning how Selenium WebDriver is used in projects? Please take a look at the complete curriculum to get an idea of topics covered in this course.
This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. The course will use SQLite3 as its database. We will also build web crawlers and multi-step data gathering and visualization processes. We will use the D3.js library to do basic data visualization. This course will cover Chapters 14-15 of the book Ã¢Â€ÂœPython for EverybodyÃ¢Â€Â. To succeed in this course, you should be familiar with the material covered in Chapters 1-13 of the textbook and the first three courses in this specialization. This course covers Python 3.
This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook â€œPython for Everybodyâ€. This course covers Python 3.
This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python. The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course. This course will cover Chapters 1-5 of the textbook ÃƒÂ¢Ã‚Â€Ã‚ÂœPython for EverybodyÃƒÂ¢Ã‚Â€Ã‚Â. Once a student completes this course, they will be ready to take more advanced programming courses. This course covers Python 3.
youâ€™re going to be learning about things like syntax, functions, and classes, exploring how to create a console application and how to convert that same app into a web app, as well learn how to create executable files and an installation wizard from your Python app. In addition to Python, youâ€™ll also be using Flask and Pycharm. This is a beginner-friendly course, but youâ€™ll want to make sure youâ€™re already up to speed on programming basics, such as what a function does and what a variable is.
This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance. | You will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they donâ€™t work. | By the end of the specialization, youâ€™ll be writing programs that query Internet APIs for data and extract useful information from them. And youâ€™ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.