983 Programming Languages courses

Is statistics a driving force in the industry you want to enter? Do you want to work as a marketing analyst, a business intelligence analyst, a data analyst, or a data scientist? Well then, you've come to the right place!

The Computer Science and Programming Diploma course covers the fundamental theories of Algorithm Analysis. If you want to explore the concepts and methods that make a good programmer, then the course is designed for you. Programming is all about how to solve a problem. Programming theory is not confined to a single language; rather it applies to all programming languages. By understanding the right programming theory, you will be able to analyse a problem and also able to find out the probable solution. The course teaches you these Programming theories covering Algorithm analysis, Binary Number System, Arrays and their Advantages, the process of analysing a problem, Nodes and their Importance, various sorting algorithms and their comparisons, and more. Upon completion, you will be able to understand the core theories of computer science. What Will I Learn? Understand the Fundamental Theories of Algorithm Analysis Be able to Compare Various Algorithms Understand When to use Different Data Structures and Algorithms Understand the Fundamentals of Computer Science theory Requirements A Willingness to Learn New Topics! No Prior Experience or Knowledge is Needed! Module: 01 Kurt Anderson - 1 Introduction FREE 00:01:00 Kurt Anderson - 2 Binary System FREE 00:11:00 Kurt Anderson - 3 Complexity Introduction 00:02:00 Kurt Anderson - 4 Math Refresher Logarithmic Functions 00:11:00 Kurt Anderson - 5 Math Refresher Factorial Functions.TS 007 00:03:00 Kurt Anderson - 6 Math Refresher Algebraic Expressions.TS 00:03:00 Kurt Anderson - 7 n-notation 00:19:00 Kurt Anderson - 8 Big O 00:13:00 Kurt Anderson - 9 Big O Real World Example 00:10:00 Module: 02 Kurt Anderson - 10 How is Data Stored 00:09:00 Kurt Anderson - 11 Fixed Arrays 00:20:00 Kurt Anderson - 12 Circular Arrays 00:08:00 Kurt Anderson - 13 Dynamic Arrays 00:16:00 Kurt Anderson - 14 Array Review 00:08:00 Kurt Anderson - 15 Array Real World Examples 00:06:00 Kurt Anderson - 16 Linked List 00:12:00 Kurt Anderson - 16 Nodes 00:04:00 Kurt Anderson - 17 Linked List Run Times 00:15:00 Kurt Anderson - 18 Doubly Linked Lists 00:08:00 Kurt Anderson - 19 Tail Pointer 00:05:00 Module: 03 Kurt Anderson - 20 Linked List Real World Examples 00:03:00 Kurt Anderson - 20 Stack Example 00:11:00 Kurt Anderson - 21 Linked List Review 00:04:00 Kurt Anderson - 22 Stacks 00:10:00 Kurt Anderson - 23 Queues 00:09:00 Kurt Anderson - 24 Queue Examples 00:10:00 Kurt Anderson - 25 Queue and Stack Run Times 00:06:00 Kurt Anderson - 26 Stack and Queues Real World Examples 00:07:00 Kurt Anderson - 27 Sorting Algorithm Introdcution 00:02:00 Kurt Anderson - 28 Bubble Sort 00:10:00 Kurt Anderson - 29 Selection Sort 00:10:00 Module: 04 Kurt Anderson - 30 Insertion Sort 00:09:00 Kurt Anderson - 31 Quick Sort 00:15:00 Kurt Anderson - 32 Quick Sort Run Times 00:10:00 Kurt Anderson - 33 Merge Sort 00:12:00 Kurt Anderson - 34 Merge Sort Run Times 00:08:00 Kurt Anderson - 35 Stable vs Nonstable 00:07:00 Kurt Anderson - 36 Sorting Algorithm Real World Examples 00:04:00 Kurt Anderson - 37 Basics of Trees 00:08:00 Kurt Anderson - 38 Binary Search Tree 00:09:00 Kurt Anderson - 39 BST Run Times 00:08:00 Module: 05 Kurt Anderson - 40 Tree Traversals 00:13:00 Kurt Anderson - 41 Tree Real World Examples 00:05:00 Kurt Anderson - 42 Heap Introduction 00:04:00 Kurt Anderson - 43 Heap Step by Step 00:12:00 Kurt Anderson - 44 Heap Real World Examples 00:07:00 Kurt Anderson - 45 Thank You 00:01:00

This course is designed for beginners and covers a wide range of topics including syntax, data structures, modules, and advanced techniques such as testing and memory allocations. It also includes real-life problem-solving exercises to ensure hands-on learning. Gain efficient programming skills and be proficient in Rust with this course.

Are you interested in learning and deploying applications at scale using Google Cloud platform? Do you lack hands-on exposure when it comes to deploying applications and seeing them in action? Then this course is for you. You will also learn microservices and event-driven architectures with real-world use case implementations.

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization including: Business Analysts, Data Analysts, Reporting and BI professionals Analytics professionals and Data Scientists who would like to learn Python Overview This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions. Outcome: After attending this course, delegates will: Be able to write effective Python code Know how to access their data from a variety of sources using Python Know how to identify and fix data quality using Python Know how to manipulate data to create analysis ready data Know how to analyze and visualize data to drive data driven decisioning across your organization Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. From business questions to data analytics, and beyond For data analytics tasks to affect business decisions they must be driven by a business question. This section will formally outline how to move an analytics project through key phases of development from business question to business solution. Delegates will be able: to describe and understand the general analytics process. to describe and understand the different types of analytics can be used to derive data driven solutions to business to apply that knowledge to their business context Basic Python Programming Conventions This section will cover the basics of writing R programs. Topics covered will include: What is Python? Using Anaconda Writing Python programs Expressions and objects Functions and arguments Basic Python programming conventions Data Structures in Python This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include: Vectors Arrays and matrices Factors Lists Data frames Loading .csv files into Python Connecting to External Data This section will look at loading data from other sources into Python. Topics covered will include: Loading .csv files into a pandas data frame Connecting to and loading data from a database into a panda data frame Data Manipulation in Python This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include: Filtering data Deriving new fields Aggregating data Joining data sources Connecting to external data sources Descriptive Analytics and Basic Reporting in Python This section will explain how Python can be used to perform basic descriptive. Topics covered will include: Summary statistics Grouped summary statistics Using descriptive analytics to assess data quality Using descriptive analytics to created business report Using descriptive analytics to conduct exploratory analysis Statistical Analysis in Python This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include: Significance tests Correlation Linear regressions Using statistical output to create better business decisions. Data Visualisation in Python This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include: Creating different chart types such as bar charts, box plots, histograms and line plots Formatting charts Best Practices Hints and Tips This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.

This Design Patterns course is a unique offering that focuses on modern C++ features and behavioral design patterns. The course content is extensive and carefully curated, with a deep dive into each pattern to ensure a thorough understanding of its implementation. Gain a comprehensive understanding of the pattern's intricacies.

This course covers Python for data science and machine learning in detail and is for a beginner in Python. You will also learn about core concepts of data science, exploratory data analysis, statistical methods, role of data, challenges of bias, variance and overfitting, model evaluation techniques, model optimization using hyperparameter tuning, grid search cross-validation techniques, and more.

Have you ever been intrigued by the power behind the most revolutionary software applications? Do you wonder how these applications transform from mere ideas into functional products that ease life's tasks? Dive deep into the world of software development with our comprehensive "Software Development Career Track" bundle of twenty courses! Within this bundle, you'll traverse from the fundamentals of Coding with Scratch to advanced JavaScript Python and even delve into Game Development using Unity 3D. Explore the wonders of Web Design, dive into Data Analytics with SQL, and embrace the intricacies of Kotlin, the Android coding bible. There's no stone left unturned, with courses covering the depths of PHP, the world of AWS SageMaker Canvas, and mastering the essentials of Linux Security. Your software development journey starts here. Unlock the future of software development today! Embark on a journey that transforms your curiosity into skills. Don't just dream, build. Enrol now and shape tomorrow's digital world! Software Development Courses List: Course 1: Coding with Scratch Course 2: C++ Development: The Complete Coding Guide Course 3: Basic HTML 5 Course 4: JavaScript Advanced Training Course 5: Python Advanced Training Course 6: The Complete SQL from Scratch: Bootcamp Course 7: Easy to Advanced Data Structures Course 8: SQL for Data Science, Data Analytics and Data Visualization Course 9: Learn Web Development from Scratch Course 10: Web Design for Beginners: Build Websites in HTML & CSS Course 11: Kotlin Masterclass Programming Course: Android Coding Bible Course 12: jQuery Masterclass Course: JavaScript and AJAX Coding Bible Course 13: Secure Programming of Web Applications - Developers and TPMs Course 14: Developing Game in Unity 3D Course 15: Game Development using Cocos2d-x v3 C++ Course 16: PHP for Beginners 2023 Guide: Develop an ECommerce Store Course 17: PHP for Beginners: PDO Crash Course 2021 Course 18: Machine Learning Model Using AWS SageMaker Canvas Course 19: WordPress Security Mastery Course 20: Linux Security and Hardening Learning Outcomes: Gain a foundational understanding of programming languages like Scratch, C++, HTML5, JavaScript, Python, and Kotlin. Understand the intricacies of web development and design, ranging from basic website development to e-commerce platform creation. Delve into data structures, SQL's utility in data science, analytics, and visualisation. Master game development techniques using Unity 3D and Cocos2d-x v3 C++. Acquire knowledge on machine learning with AWS SageMaker Canvas. Grasp essential security aspects from WordPress protection to Linux hardening. This dynamic Software Development Career Track bundle serves as a ladder, guiding you through the steps of software development. Starting with the foundational elements, you're introduced to Scratch's simplistic yet effective world, gradually escalating to the dynamic languages like C++ and Kotlin. As you advance, delve into the vibrant realm of web development and design, unlocking the potential to craft and curate seamless websites using HTML & CSS, paired with interactive features facilitated by JavaScript and jQuery. Transition from web design to data with courses focusing on SQL's various applications, be it in straightforward data structures or the vast domains of science, analytics, and visualisation. But software development isn't just about creating - it's also about protecting. Hence, our curated content ensures you grasp the nuances of securing digital entities, from WordPress platforms to entire Linux systems. And for those with a passion for animation and virtual worlds, the game development courses promise a thrilling voyage into Unity 3D and Cocos2d-x v3 C++ realms. CPD 220 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring software developers keen on understanding the broader spectrum of the field. Web designers and developers aiming to expand their skill set. Data enthusiasts wanting to harness the power of SQL in analytics. Game developers aspiring to master tools like Unity 3D. IT professionals keen on deepening their knowledge in security and hardening. Requirements Without any formal requirements, you can delightfully enrol in this course. Career path Software Developer Web Developer Data Analyst Game Developer Security Specialist WordPress Developer Linux System Administrator Certificates CPD Certificate Of Completion Digital certificate - Included 20 Digital Certificates Are Included With This Bundle CPD Quality Standard Hardcopy Certificate (FREE UK Delivery) Hard copy certificate - £9.99 Hardcopy Transcript: £9.99

Visual Studio Code is currently the number #1 IDE among the programmer's community. All the big companies are moving towards using VS Code for active development. Get ahead of the curve and learn to use Visual Studio Code with ease.

Become a browser automation master with Selenium WebDriver, JavaScript, and Node.js