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This course offers an immersive experience in data analysis, guiding you from initial setup with Python and Pandas, through series and DataFrame manipulation, to advanced data visualization techniques. Perfect for enhancing your data handling and analysis skills.

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Introduction Introduction 00:02:00 Who We Are. 00:05:00 Hardware and Software Requirements 00:01:00 Important Note: Review System Important Note: Review System 00:00:00 Download and Install Software Section Download and Install Arduino Pro IDE 00:09:00 Download and Install Python Editor 00:02:00 Download and Install Required Libraries 00:05:00 Python Coding to Control Arduino Pins Python Coding to Control Pin via Serial 00:09:00 Arduino Coding to Control Pin via Serial 00:06:00 Running Python Script to Control the Pin 00:01:00 Python Coding to Control Arduino Pins Python GUI with Button to Control Arduino Pins 00:14:00 Arduino Real-Time Plotting with Python Arduino Real-Time Plotting with Python 00:16:00 Arduino Input/Output Control Via Python Blink Simple Led Example with Python 00:05:00 Reading Digital Input and Sending Digital Output with Python 00:14:00 Extra Installing Python and PIP 00:05:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

This course will be mainly focusing on machine learning algorithms. Throughout this course, we are preparing our machine to make it ready for a prediction test.

Duration 5 Days 30 CPD hours This course is intended for This introductory-level Python course is geared for experienced users who want to use Python in web development projects, or system administrators and web site administrators who want to use Python to support their server installations, as well as anyone else who wants to automate or simplify common tasks with the use of Python scripts. Basic familiarity with any programming or scripting language would be helpful, along with a working, user-level knowledge of Unix/Linux, Mac, or Windows. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Throughout the hands-on course students, will learn to write essential Python scripts using the most current and efficient skills and techniques. Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Create working Python scripts following best practices Use python data types appropriately Read and write files with both text and binary data Search and replace text with regular expressions Get familiar with the standard library and its work-saving modules Use lesser known but powerful Python data types Create 'real-world', professional Python applications Work with dates, times, and calendars Know when to use collections such as lists, dictionaries, and sets Understand Pythonic features such as comprehensions and iterators Write robust code using exception handling Mastering Python Programming is an introductory and beyond-level practical, hands-on Python training course that leads the student from the basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting. This comprehensive, practical course provides an in-depth exploration of working with the programming language, not an academic overview of syntax and grammar. Students will immediately be able to use Python to complete tasks in the real world. An overview of Python What is python? Python Timeline Advantages/Disadvantages of Python Getting help with pydoc The Python Environment Starting Python Using the interpreter Running a Python script Python scripts on Unix/Windows Editors and IDEs Getting Started Using variables Builtin functions Strings Numbers Converting among types Writing to the screen Command line parameters Flow Control About flow control White space Conditional expressions Relational and Boolean operators While loops Alternate loop exits Array types About array types (AKA sequences) Lists and list methods Tuples Indexing and slicing Iterating through a sequence Nested sequences Sequence functions, keywords, and operators List comprehensions Generator Expressions Working with files File overview Opening a text file Reading a text file Writing to a text file Reading and writing raw (binary) data Converting binary data with struct Dictionaries and Sets About dictionaries Creating dictionaries Iterating through a dictionary About sets Creating sets Working with sets Functions Defining functions Parameters Global and local scope Nested functions Returning values Sorting The sorted() function Alternate keys Lambda functions Sorting collections Using operator.itemgetter() Reverse sorting Errors and Exception Handling Syntax errors Exceptions Using try/catch/else/finally Handling multiple exceptions Ignoring exceptions Modules and Packages The import statement Module search path Creating Modules Using packages Function and Module aliases An Introduction to Python Classes About o-o programming Defining classes Constructors Methods Instance data Properties Class methods and data Regular Expressions RE syntax overview RE Objects Searching and matching Compilation flags Groups and special groups Replacing text Splitting strings Using the Standard Library The sys module Launching external programs Math functions Random numbers Reading CSV data Dates and Times Working with dates and times Translating timestamps Parsing dates from text Formatting dates Calendar data Working with the File System Paths, directories, and filenames Checking for existence Permissions and other file attributes Walking directory trees Creating filters with fileinput Using shutil for file operations Advanced Data Handling Defaultdict and Counter Prettyprinting data structures Compressed archives (zip, gzip, tar, etc.) Persistent data Network Programming Using requests Grabbing web content Sending email Using SSH for remote access Using FTP Writing real-life applications Reading input files a la Unix Parsing command-line options Detecting the current platform Implementing logging Additional course details: Nexus Humans Mastering Python Programming (TTPS4820) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Mastering Python Programming (TTPS4820) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Course Overview Take geospatial figures and turn them into functional applications for multiple uses by learning how to Create Smart Maps in Python and Leaflet Level 3. This intuitive training will give you expert guidance on using a wide variety of tools and methods to create impressive IT projects for professional or personal use. This comprehensive Python tutorial coaching experience provides expert tuition for using essential platforms such as PostgreSQL and PostGIS. Using step-by-step instructions and professional education, you will use this gained knowledge to become more proficient in writing many types of Python GIS applications from scratch and achieve impressive programming feats. It will help you attain an amazing range of IT skills, making you a valuable commodity in the IT sector. This best selling Create Smart Maps in Python and Leaflet Level 3 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Create Smart Maps in Python and Leaflet Level 3 is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Create Smart Maps in Python and Leaflet Level 3 is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Create Smart Maps in Python and Leaflet Level 3 is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Create Smart Maps in Python and Leaflet Level 3, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Create Smart Maps in Python and Leaflet Level 3 will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Create Smart Maps in Python and Leaflet Level 3 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

If you are working on data science projects and want to create powerful visualization and insights as an outcome of your projects or are working on machine learning projects and want to find patterns and insights from your data on your way to building models, then this course is for you. This course exclusively focuses on explaining how to build fantastic visualizations using Python. It covers more than 20 types of visualizations using the most popular Python visualization libraries, such as Matplotlib, Seaborn, and Bokeh along with data analytics that leads to building these visualizations so that the learners understand the flow of analysis to insights.

This beginner-friendly course takes us on a journey into data visualization. You will learn to transform raw data into stunning visuals using Matplotlib, Seaborn, and Plotly. From charts to dynamic heatmaps, we will master the essentials. Fuel your curiosity, enhance your skills, and communicate insights effectively to become a Python data visualization pro!

Data scraping is used to get the data available on different websites and APIs. This also involves automating the web flows to extract the data from different web pages. Data Scraping and Data Mining with Python is a well-designed course for beginners to develop a solid groundwork for the skills necessary.

Python scripting makes it easy to automate workflows in ArcGis. In the Learn to Use Python for Spatial Analysis in ArcGIS course, you will learn from the experts how to perform spatial analysis and data management tasks using ArcGis tools. It will teach you how to carry out a wide range of tasks, from creating animations to running a batch process in Python of multiple existing scripts.  By the end of the course, you will have the skills and expertise to pursue a career as a developer, and will be able to use ArcGis proficiently for mapping, spatial analysis, data science, geospatial AI and automation. There are no specific entry requirements for this course, however, which can be studied on a part-time or full-time basis. This best selling Learn to Use Python for Spatial Analysis in ArcGIS has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Learn to Use Python for Spatial Analysis in ArcGIS is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Learn to Use Python for Spatial Analysis in ArcGIS is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Learn to Use Python for Spatial Analysis in ArcGIS is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Learn to Use Python for Spatial Analysis in ArcGIS, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Learn to Use Python for Spatial Analysis in ArcGIS will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Learn to Use Python for Spatial Analysis in ArcGIS to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

This comprehensive course will help you learn the basics to advanced mechanisms of chatbot development using deep learning with Python. This course is a complete package for beginners to learn chatbot fundamentals with deep learning and its applications and build it from scratch using deep learning (RNNs) with Python.