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Maximize the value of data assets in the oil and gas sector with EnergyEdge's assessment-based training course on Python programming and analytics.

Maximize the value of data assets in the oil and gas sector with EnergyEdge's assessment-based training course on Python programming and analytics.

This course will show you how to create simple, intermediate, and advanced REST APIs for authentication, deployment, caching, and much more. You will also cover essential technologies such as Flask and popular extensions such as Flask-Smorest, Flask-JWT-Extended, and Flask-SQLAlchemy; we will dive right into developing complete, solid, production-ready REST APIs.

Overview of Intermediate Python Coding Join our Intermediate Python Coding course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Intermediate Python Coding course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Intermediate Python Coding course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! Get a Quick Look at The Course Content: This Intermediate Python Coding Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Intermediate Python Coding. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Intermediate Python Coding course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Intermediate Python Coding is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Intermediate Python Coding course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Intermediate Python Coding Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Frequently Asked Questions (FAQ's) Q. How do I purchase a course? 1. You need to find the right course on our IOMH website at first. You can search for any course or find the course from the Courses section of our website. 2. Click on Take This Course button, and you will be directed to the Cart page. 3. You can update the course quantity and also remove any unwanted items in the CART and after that click on the Checkout option and enter your billing details. 4. Once the payment is made, you will receive an email with the login credentials, and you can start learning after logging into the portal. Q. I have purchased the course when will I be able to access the materials? After purchasing the course, you should receive an email with the login credentials within 24 hours. Please check your spam or junk folder if you didn't receive it in your inbox. You can access your courses by logging into your account. If you still need any assistance, please get in touch with our Customer Support team by providing the details of your purchase. Q. I haven't received my certificate yet. What should I do? You should receive your Digital Certificate within 24 hours after placing the order, and it will take 3-9 days to deliver the hard copies to your address if you are in the UK. For International Delivery, it will take 20-25 days. If you require any assistance, get in touch with our dedicated Customer Support team, and your queries/issues will be dealt with accordingly. Q. I don't have a credit/debit card, what other methods of payment do you accept? You can make the payment using PayPal or you can Bank Transfer the amount. For Bank transfer you will require an invoice from us and you need to contact our Customer Support team and provide details of your purchase to get the invoice. After that, you will receive an email with the invoice and bank details and you can make the payment accordingly. Q. Can I do the courses from outside UK? We are an online course provider, and learners from anywhere in the world can enrol on our courses using an internet-connected device. Q. When I log into the account it says 'Contact Administrator'. To resolve this issue, please log out of your account and then log back in. Course Curriculum Section 01: Introduction Course Introduction 00:02:00 Course Curriculum 00:05:00 How to get Pre-requisites 00:02:00 Getting Started on Windows, Linux or Mac 00:01:00 How to ask Great Questions 00:02:00 Section 02: Class Introduction to Class 00:07:00 Create a Class 00:09:00 Calling a Class Object 00:08:00 Class Parameters - Objects 00:05:00 Access Modifiers(theory) 00:10:00 Summary 00:02:00 Section 03: Methods Introduction to methods 00:06:00 Create a method 00:07:00 Method with parameters 00:12:00 Method default parameter 00:06:00 Multiple parameters 00:05:00 Method return keyword 00:04:00 Method Overloading 00:05:00 Summary 00:02:00 Section 04: OOPs Object-Oriented Programming Introduction to OOPs 00:05:00 Classes and Objects 00:08:00 Class Constructors 00:07:00 Assessment Test1 00:01:00 Solution for Assessment Test1 00:03:00 Summary 00:01:00 Section 05: Inheritance and Polymorphism Introduction 00:04:00 Inheritance 00:13:00 Getter and Setter Methods 00:12:00 Polymorphism 00:13:00 Assessment Test2 00:03:00 Solution for Assessment Test2 00:03:00 Summary 00:02:00 Section 06: Encapsulation and Abstraction Introduction 00:03:00 Access Modifiers (public, protected, private) 00:21:00 Encapsulation 00:07:00 Abstraction 00:07:00 Summary 00:02:00 Section 07: Python Games for Intermediate Introduction 00:01:00 Dice Game 00:06:00 Card and Deck Game Playing 00:07:00 Summary 00:01:00 Section 08: Modules and Packages Introduction 00:01:00 PIP command installations 00:12:00 Modules 00:12:00 Naming Module 00:03:00 Built-in Modules 00:03:00 Packages 00:08:00 List Packages 00:03:00 Summary 00:02:00 Section 09: Working Files with Pandas Introduction 00:02:00 Reading CSV files 00:11:00 Writing CSV files 00:04:00 Summary 00:01:00 Section 10: Error and ExceptionHandling Introduction 00:01:00 Errors - Types of Errors 00:08:00 Try - Except Exceptions Handling 00:07:00 Creating User-Defined Message 00:05:00 Try-Except-FinallyBlocks 00:07:00 Summary 00:02:00

This comprehensive deep learning course with Python will start with the basics and work up to advanced topics such as using different frameworks in Python to solve real-world problems and building artificial neural networks with TensorFlow and Keras.

Learn Python Programming using a Step By Step Approach with 200+ code examples.

Learn to code Python, from scratch to job-ready. With this excellent Python Programming course London you will achieve job-ready coding expertees. How does it work? Online, Instructor-led lessons: 1 full day lesson per week, for 12 weeks Plus Self-study Materials and a Structured Self-Study Program Plus 1-1 mentoring Scheduled in addition Plus Live Online Practical Project to showcase your expertees Part Time Part Time 1 full day per week, online instructor-led. Self study, in your own time. 1-1 mentoring, schedule your preferred time. Earn and Learn, stay employed, work, earn your salary until you qualify, then change. 1-1 Mentoring 1-1 Mentoring Additional, between weekly sessions. Work at your pace, 1-1 sessions can cover extra work and/or help you catch up. Gain confidence, because we revise & validate your practicals. Be re-assured, get immediate answers to your questions. Self-Study Self-Study Learn by doing, the best way to re-inforce learning, is by trying on your own. Practical, most of the self-study work is practical exercises. Gain experience, this aspect of the course gives you experience employesr are seeking. Practical Project Practical Project Live online, upload your project. Showcase, your expertees are testified online. Become known, your project will put you in contact with the coding community. Materials Materials Video Tutorials, Short and easy. Python Coding Examples, Plenty thereof. Manuals and Notes Reference materials. Exercises, Practical work with every class. Payments Payments Best deal: → £2100 up front. Installments: Contact us to arrange. Our Style Our Style Personalised, 1-1 Mentoring & Small Groups, Max 4. Practical, Hand-on. Online Instructor-Led. Weekly topics and other details Weekly Python lesson topic descriptions Overview of Python Fundamentals: Python Data Types, Variables: Primitive types; Characters; Boolean; Working with variables and its scope; Type conversion and casting; Strings String Functions, Strings vs numbers vs dates. Getting user input. Python Operators and Expressions: Introduction of operators; Arithmetic operators; Relational operators; Assignment operator; Logical operators; Increment and decrement operators. Decision Making: If statement; If - else statement; If- else if - else statement; Nested if - else; Switch Statements Using Loops: The while, do-while and the for loop; Enhanced for loop; Jump statements : break, continue; The return statement; Nesting loops. OOP Principals Using Methods: Learn Python method basics. Defining Methods, Parameters, Returning values, Overloading methods, Calling methods. Encapsulation. Classes and Objects Inheritance, Override, Constructors, Parametised Constructors, the self keyword, Inner classes Lists. Tuples. Sets, Dictionary. Json Files. Using Built-in modules and functions for strings, maths and dates. Exception Handling, Files, Streams. Database concepts, Relational Database Data Types, Columns, Tables Relationships SQL statements DDL SQL Statements: Create and drop a databases Create,aleter and drop alter tables Select queries: where-clauses, wildcards, order by, joins, aggregates, having, DML Queries: Insert, Update and deleting records Connect to a from Python to a SQLite3 database, Data Driven Python Project: DDL Queries: Create a table, alter tables, drop a table Creating a log of transactions, using the above DML Queries: insert, delete, update records Creating a log-in facility to register, delete and maintain users Create a Search facility using select queries Query a database with wildcard parameters and display results Numpy Arrays The Python NumPy Module: Working with arrays, create data using arrays. Array manipulation and array-wise math functions. String functions on arrays. Numpy Built-In Functions : Math, arithmetic and statistical functions. Numpy Calculations Pandas Series Data Cleaning Python Pandas Dataframes and data importing Python Dataframes Data Series. Date/ Time Functionality. Time series. Creating Dataframes, Indexing. Dict to Dataframe, Dataframe to Dict. Csv to Dataframe, Dataframe to csv. Excel to Dataframe, Dataframe to Excel. Data Cleaning and preparation Finding, replacing and filtering missing data. Remove Duplicates. Replacing values. Renaming Axis Indexes. Pandas Data Wrangling Discretization and Binning. Random Sampling. Transforing data using function and mapping, Hierarchical Indexing, Reorder, Sorting, Stastitics, Dataframe Joins, Merging, Concatenation, Overlap. Reshaping and pivoting. Query a Pandas Dataframe Data Analysis: Sorting. Analysing and finding data using filter, slicing and dataframe queries. Finding data by Iteration. Find statistics: Functions, Aggregate functions. Unique values. String objects, Regex. Chart Types: Bar, Column, Line, Scatter, Pie, Area, Histogram, Funnel Charts Formatting: Changing gridlines lines, axes, scales, markers, colours, Chart Elements: legends, titles, plot seizes, exporting. Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Algorithms: Apriori, Euclat Ensemble Methods Algorithms: Stacking, bagging, boosting. Random Forest Random Forest, Gradient Boosting Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. Python Tkinter Front-end Basics Getting Started with HTML Getting Started with CSS Getting Started with Php Getting Started with JavaScripts Book the Python Boot Camp About us Our experienced trainers are award winners. More about us FAQ's Client Comments