Do you want to access satellite sensors using Earth Engine Python API ? Do you want to learn the QGIS Earth Engine plugin ? Do you want to visualize and analyze satellite data in Python ? Enroll in my new course to Python for Spatial Data Analysis with Earth Engine and QGIS . I will provide you with hands-on training with example data, sample scripts, and real-world applications. By taking this course, you be able to install QGIS and Earth Engine plugin . Then, you will have access to satellite data using the Python API. What makes me qualified to teach you? I am Dr. Alemayehu Midekisa, PhD. I am a geospatial data scientist, instructor and author. I have over 15 plus years of experience in processing and analyzing real big Earth observation data from various sources including Landsat, MODIS, Sentinel-2, SRTM and other remote sensing products. I am also the recipient of one the prestigious NASA Earth and Space Science Fellowship. I teach over 10,000 students on Udemy. In this Python for Spatial Data Analysis with Earth Engine and QGIS course, I will help you get up and running on the Earth Engine Python API and QGIS . By the end of this course, you will have access to all example script and data such that you will be able to accessing, downloading, visualizing big data, and extracting information. In this course we will cover the following topics: Introduction to Earth Engine Python API Install the QGIS Earth Engine Plugin Load Landsat Satellite Data Cloud Masking Algorithm Calculate NDVI Access Sentinel, Landsat, MODIS, CHIRPS, and VIIRS data Export images and videos Process image collections CART classification Clustering analysis Linear regression Global Land Cover Products (NLCD, and MODIS Land Cover) One of the common problems with learning image processing is the high cost of software. In this course, I entirely use the Google Earth Engine Python API and QGIS open source tools. All sample data and script will be provided to you as an added bonus throughout the course. Jump in right now to enroll. To get started click the enroll button. Best, Dr. Alemayehu Midekisa

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 Python3: Deep Dive Part 4 course takes a closer look at object oriented programming (OOP) in Python. MAIN COURSE TOPICS what are classes and instances class data and function attributes properties instance, class and static methods polymorphism and the role special functions play in this single inheritance slots the descriptor protocol and its relationship to properties and functions enumerations exceptions metaprogramming (including metaclasses) COURSE PREREQUISITES Please note this is NOT a beginner level course. You must have a strong working knowledge of functional Python programming as well as some practical experience developing Python applications in order to fully benefit from this course. In-depth functional Python programming functions, closures, scopes, decorators (using and writing them) zip, sorted, any, all, and the itertools module in general sequences, iterables, iterators and generators (what they are and how to implement the corresponding protocols) generators, yield, and context managers mapping types, hashing and relation to object equality some prior knowledge of basic OOP concepts know how to work with Python virtual environments and pip install available Jupyter Notebook (freely available) to follow along with the course notebooks how to use git [Please note that this is not a cookbook style course - I don't show you how to solve specific problems, but rather a broad and in-depth look at how OOP works in the context of Python, that will allow you to apply these concepts and techniques to your own problems.]

Interested in the field of Machine Learning? Then this course is for you! This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way. We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science. This course is fun and exciting, but at the same time, we dive deep into Machine Learning. It is structured the following way: Part 1 - Data Preprocessing Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification Part 4 - Clustering: K-Means, Hierarchical Clustering Part 5 - Association Rule Learning: Apriori, Eclat Part 6 - Reinforcement Learning: Upper Confidence Bound, Thompson Sampling Part 7 - Natural Language Processing: Bag-of-words model and algorithms for NLP Part 8 - Deep Learning: Artificial Neural Networks, Convolutional Neural Networks Part 9 - Dimensionality Reduction: PCA, LDA, Kernel PCA Part 10 - Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. And as a bonus, this course includes both Python and R code templates which you can download and use on your own projects. Important updates (June 2020): CODES ALL UP TO DATE DEEP LEARNING CODED IN TENSORFLOW 2.0 TOP GRADIENT BOOSTING MODELS INCLUDING XGBOOST AND EVEN CATBOOST!

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 scraping Parsing PDFs and Excel spreadsheets Automating the keyboard and mouse Sending emails and texts And 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.

If you want to get started programming in Python , you 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: Programming Basics Python Fundamentals JavaScript Object Notation (JSON) Web Scraping PyMongo (MongoDB) Web Development Django Web Framework Graphical User Interface (GUI) Programming (PyQt) Data Visualization Machine Learning 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!

Welcome to the Complete Python Course! *** Fully updated for 2020 *** The course covers every major Python topic (including Object-Oriented Programming, Web Scraping, and even GUI development), and now includes even more content...! NEW CONTENT: Control your browser using Selenium, to scrape websites or even fill in forms! Learn to interact with REST APIs and build a currency exchange program Create desktop GUIs using Tkinter, so your users can work with your applications very easily Start working with unit testing in Python by learning about the unittest library We've also completely re-recorded the course's introductory Python material... so it’s even clearer and more straightforward! This course will take you from beginner to expert in Python, easily and smartly. We've crafted every piece of content to be concise and straightforward, while never leaving you confused. This course will dive right into Python and get you productive from the very beginning. This is the best investment you can make in your Python journey. Why Learn Python? Over the last few years, Python has become more and more popular. Demand for Python is booming in the job market and it is a skill that can help you enter some of the most exciting industries , including data science, web applications, home automation and many more. Python is one of the "most loved” and “most wanted” programming languages according to recent industry surveys. If people are not using Python already, they want to start using Python. This course will make it easy for you to learn Python and get ahead of your competition. Why Choose THIS Course? You will: Get a broader and deeper experience in Python than with any other Udemy course on the market. Start at zero and become an expert whilst learning all about the inner workings of Python. Learn how to write professional Python code like a professional Python developer. Develop a long-lasting love for Python and programming by creating good programming habits . Explore the wider possibilities of what you can do with Python, including databases, web development and web scraping . Become job-ready by learning about best practices, Selenium, unit testing, and all of the major Python topics. Who Is This Course For? Beginners who have never programmed before. Programmers with experience in other languages who want to kickstart their Python programming. Programmers who know some Python but want to round off their skills and become truly proficient. What Am I Going to Get From This Course? Lifetime access to over 250 lectures covering all aspects of Python, from the foundations to advanced concepts. An interactive screencast video from every lecture AND complete, written notes and code for you to read and refer back to you as you progress through the course. Milestone projects for you to complete throughout the course. These provide a challenge and an opportunity for you to apply what you've learned. We always go over the code after to show you how we would tackle them. Guidance on common pitfalls and best practices including how to make your code "Pythonic" (looking like professional code), Object-Oriented Programming, database interactions, and more. Quizzes and tests for you to check your understanding. High-quality help and support. In the last year alone we've answered over 3000 student questions. We don’t leave a single question unanswered. You'll have 30 days to change your mind and get your money back, with absolutely no questions asked AND you'll get to keep all the course notes and code as a thank you for trying the course out. Don't Wait! Join the Course and Begin Coding in Python today!

This course is directed at professional Accountants who are already skilled in Microsoft Excel. As such we will often reference how excel works and try to translate that into Python. This course is not designed to teach you everything about Python. The course will skip over many aspects of Python that are not necessary for accountants. If you're looking to geek out on Python and learn every aspect of the language this course is not for you. What this course is: This course will give you the basic to start your journey learning Python. Learning Python will transform you into the most efficient accountant your company has ever seen. This course will teach you critical aspects of Python that accountants need to know without wasting your time. In my journey to learn Python and create this course I've done the following: Spent hundreds of hours going through tutorials where only 15% of the information was relevant to accountant Spent thousands of dollars paying full blown software engineers to tutor me where every tutorial fell short Painstakingly failed countless number of times before finding the "right" way to do almost every accounting tasks Spent all my nights and weekends for months compiling everything I've learned Wrote and rewrote every lesson until I felt they had everything you need without wasting time on things you don't Now you can learn python in a relevant way that impacts your job performance faster.

Learn Python 3 and acquire employers' one of the most requested skills of 21st Century! An expert level Python Professional can earn minimum $100000 (that's five zeros after 1) in today's economy. This is the most comprehensive, yet straight-forward course for the Python 3 on Udemy! Whether you have never worked with Python before, already know basics of Python, or want to learn the advanced features of Python 3, this course is for you! In this course we will teach you Python 3, Jupyter, pillow, turtle, and pygame. (Note, we also provide you PDFs, Python 3 code files, and Jupyter Notebooks in case you need them) With over 50 lectures and more than 6.5 hours of video this comprehensive course leaves no stone unturned in teaching youPython 3, Pandas with pygame, turtle, and pillow! This course will teach you Python 3 in a very practical manner, with every lecture comes a programming video and a corresponding Jupyter notebook that has Python 3 code! Learn in whatever manner is the best for you! We will start by helping you get Python3 and other libraries installed on your Windows computer and Raspberry Pi. We cover a wide variety of topics, including: Installation of Python 3 on Windows Setting up Raspberry Pi Tour of Python 3 environment on Raspberry Pi Jupyter installation and basics turtle programming with recursion Image processing with Pillow Game programming with pygame GUI with Tkinter Text based adventure game programming You will get lifetime access to over 50 lectures plus corresponding PDFs, Image Datasets, and the Jupyter notebooks for the lectures! So what are you waiting for? Learn Python 3 in a way that will advance your career and increase your knowledge, all in a fun and practical way!

Start coding in Python immediately! If you are a beginner in Programming, then this course will help you learn Python Programming fast. Python is an incredibly efficient language: your programs will do more in fewer lines of code than many other languages would require. It is also used in scientific fields for academic research and applied work. My goal was to create a Course for people of any age who have never programmed in Python before or have never programmed at all, so you can build programs that work. The course is full of examples and projects that are carefully chosen to demonstrate each concept so that you can gain a deeper understand of the language. It is designed to serve as a single, all-inclusive learning resource for all Python newcomers, whether they will be using Python 2.X, Python 3.X, or both Python Programming for Beginners is also perfect for middle school and high school teachers who want to offer their students a project-based introduction to programming. Are you looking to learn practical Python Programming you can put to use instantly? If so, then this is the course for you. It’s entirely project based and it’s full of examples which are fully explained and easy to understand. It has been recorder in full HD 1080p. If you get stacked don’t worry. I have fast and fully support through the discussion board. And if you don’t like the course simply return it. There is a 30-day money back guarantee. At the end of this Python class you will be given a Certificate of Completion. Python is a great language to learn, so enroll in this course and let’s get started!