490 Nest courses

Every Wednesday at 16:15 – 17:30 Step into the captivating realm of the RAD Grade 2 ballet program at M&L School of Performing Arts, where the essential elements of ballet and character dance unfold within a curriculum that treasures the harmony of emotion and technique. This singular grade is a meticulously designed chapter in the ballet journey, offering young dancers the opportunity to revel in the dynamic blend of grace and strength that ballet commands. Nestled within a musical panorama that crosses centuries of dance heritage, our Grade 2 classes beckon students to dive deeper into the artistry of ballet and character dance. This grade serves as a pivotal moment, building upon the joy of movement discovered in earlier levels and encouraging a richer, more nuanced expression of ballet’s technical facets. Here, students are guided to explore their dance potential more fully, expressing themselves with renewed confidence and precision. Grade 2 in the RAD curriculum marks a delightful expansion in the breadth of character dance, presenting students with the chance to explore beyond the foundational steps and into a world rich with cultural diversity and expressive storytelling. The focus on character dance at this level enriches students’ understanding and appreciation of dance’s global tapestry, fostering a versatile approach to ballet that values both tradition and innovation. Why Choose RAD Grade 2 Ballet Lessons for Your Child? Holistic Physical Development: Focused on enhancing flexibility, strength, and coordination, Grade 2 ballet fine-tunes the physical attributes essential for dance. Boost in Self-Expression and Confidence: This grade empowers children to express complex emotions and stories through dance, nurturing a profound sense of self-confidence. Sharpened Discipline and Focus: The precise learning structure of Grade 2 ballet hones discipline, cultivates meticulous attention to detail, and strengthens concentration. Enriched Musical Appreciation: Grade 2 introduces students to an expanded array of musical styles, deepening their rhythmical understanding and appreciation for dance music’s diverse expressions. Joy and Fulfillment in Movement: Emphasizing the pleasure found in each step, leap, and turn, our curriculum encourages students to experience the genuine joy of dance. Social and Teamwork Skills: Ballet classes at this level offer a nurturing environment for developing friendships, learning about teamwork, and enhancing social skills through cooperative performances. Cultural Engagement and Awareness: Exploring character dances introduces students to a broader spectrum of the world’s dance heritage, enriching their cultural perspective and appreciation. Enhanced Coordination and Posture: Ballet at Grade 2 continues to improve overall body coordination and promotes the maintenance of good posture, contributing to a healthy and balanced lifestyle. Development of Important Life Skills: The discipline and perseverance learned through ballet are invaluable, teaching children time management and resilience in the face of challenges. Foundation for Future Learning: Laying a solid foundation for further ballet studies, Grade 2 enriches cognitive abilities and prepares students for the next steps in their dance education. Why M&L School of Performing Arts Is Uniquely Suited for Grade 2 Ballet: Choosing M&L School of Performing Arts for Grade 2 ballet means entering a world where passion for dance and music transforms into a tangible journey of growth and discovery. Inspired by our own experiences and fueled by a deep commitment to dance education, we offer a space where young dancers flourish under the guidance of RAD-certified instructors. Here, your child will not only advance in ballet but will also develop a deep-seated love for the arts, nurtured within a community that values creativity, discipline, and artistic integrity. Enroll your child in the RAD Grade 2 ballet program at M&L School of Performing Arts, and witness their transformation into a more confident, expressive, and technically proficient dancer. Join our family, where every class is a step toward cultivating passionate, skilled artists ready to embrace the vast world of dance. Book first lesson here: https://mandlschoolofperformingarts.com/book-first-lesson/

Java Webinar Course summary In this Java Webinar Course you will learn Java Basics and OOP Principles. Java Webinar Course description This Java Course is Online, instructor-led, practical attended via Gotomeeting.com. When we receive your booking, we email a connection invitation. This Java Course Webinar will allow you to learn flexibly and commute-free from home. There is no need for attending face-to-face, all advantages of the classroom in built-in and planned for during the delivery of this webinar. We teach online with excellent instruction and targetted well-planned practicals that will clearly illustrate techniques and accurately develop your skills. Question time is built in. Session 1: Data Types, Variables, and Arrays: Primitive types; Characters; Boolean; Working with variables and its scope; Type conversion and casting; Introduction to String class; Working with arrays Session 2: Operators and Expressions Introduction of operators; Arithmetic operators; Relational operators; Assignment operator; Logical operators; Increment and decrement operators; More in operators Session 3: Decision Making If statement; If - else statement; If- else if - else statement; Nested if - else; Switch Statements Session 4: Using Loops The while, do-while and the for loop; Enhanced for loop; Jump statements : break, continue; The return statement; Nesting loops; Using the for-each loop with Arrays Session 5: Methods Introduction of methods; Creating a Method in class; Calling a Method; Returning value from a Method; Adding a Method that takes parameters Session 6: Classes Creating an Object; Using an Object. Adding Instance variables; Controlling accessibility; Class Constructors; Parameterized Constructors; Inheritance. Abstraction. Interfaces and implementing interfaces. Override. Polymorphism. The dot operator, this, static, super, final keywords More in Methods and Classes: Overloading methods; Overloading Constructors; Using objects as parameters; Returning objects; Recursion Java Access control: private, public and protected; Java Nested and inner classes; A stack class Session 7: Java Data structures Files, Streams, Collections. Session 8: Java Exception Handling Fundamentals of exception handling; Exception types; Using try and catch; Multiple catch clauses; Nested try statements; Throw and throws; Finally Blocks Included in the Java Webinar Courses: Java Webinar Course Certificate on completion Java Webinar Course Manual Practical Java Webinar Course exercises, Java Webinar Code Samples/ Java Webinar Course Revision work After the course, 1 free session for questions online Java Webinar Course via Gotomeeting.com. Max group size, online and in classroom, on this Java Webinar Course is 4.

Java CrossOver Course for Coders 1-Day, 11am - 6pm Online, Instructor-led, Interactive, Practical Java Basics to coders who are converting to Java from a different coding language. You do not need much time to learn the syntax of Java, because you have done similar work in other programming languages Hands-on, Practical Course, Instructor-led Course. Online with Gotomeeting.com 1 day, from 11am - 6pm. In classroom at on request only. Locations Java CrossOver Course description Overview of Java: This course covers Java Object-Oriented Programming (OOP) principles. Java Data Types and using Variables in Java: Here we learn to code using data types and variables of different data types: Primitives; Characters; Boolean; Variables and variable scope; String class; Type conversion and casting. Java Operators and Expressions: What are operators and how to use them; Arithmetic operators; Relational operators; Assignment operator; Logical operators; Increment and decrement operators. Decision Making: The Java Syntax for the If-statement; If,else; If,else if,else; Nested if; Switch Statements; Using Loops: For loops, while loops, do while, Enhanced for loop; Nesting loops; break, continue; The return statement. Arrays: Working with arrays, 2-d arrays, iterating arrays. Using the for-each loop with Arrays Lists: Working with lists. Lists vs Arrays. Files,streams with Java: Open, Read and Write to CSV Files, txt files and bin files. Exception Handling: Fundamentals of exception handling; Exception types; Using try and catch; Multiple catch clauses; Nested try statements; Throw and throws; The finally blocks Introduction to Classes and Objects: Creating a Class; Creating an Object; Using an Object; Adding Instance variables; Controlling accessibility; Naming conventions for class members. Class Constructors; Parameterized Constructors; Inheritance. Abstraction. Interfaces and implementing interfaces. Override. Polymorphism. The dot operator, this keyword, the static keywords, the super keyword. Using Methods: Introduction of methods; Creating a Method in class; Calling a Method; Returning value from a Method; Adding a Method that takes parameters; More in Methods and Classes: Overloading methods; Overloading Constructors; Using objects as parameters; Returning objects; Recursion; Access control : private, public and protected; The final keyword. What is included PCWorkshops Course Certificate on completion Java Course Notes Java Code Examples Practical Java Course exercises, Java Course Revision work After the course: 1-Hour personalised online revision session Book the Java CrossOver Course About us Our experienced trainers are award winners. More about us FAQ's Client Comments

Java basics course. General Java syntax and principles of object-oriented programming. Level: Start from scratch; this is the course for a beginner. Java from basics to fully functional. Our Style: Instructor-led Course, very practical with hands-on practice. Small groups up to 4 people. Trainers are professional developers and subject matter experts.

Basics Java Course. Basic Java syntax and principles of Object Orientated Programming. Java Programming Fundamentals webinar Courses London, evenings, 6 weeks. Virtual Classroom. Our Style: Hands-on, Practical Course, Instructor-led Course. Level: From basics to fully functional. Who would benefit from the course: basics to Java, attend after work. Duration: one lesson of 2 hours per week for 6 weeks, from 6pm - 8pm. The first date shows as the booking date.

Java OOP Course Duration: 1 Day Who would find this course useful? This is useful if you have some coding skills already. This course is fast paced, not quite basics level. It specifically concentrates on Object Oriented Programming Principles (OOP) in Java. Download: Download Java JDK and Eclipse IDE. For classroom courses: Bring your own device. Java OOP Course description Session 1: General Concepts Revision: Scanner, Input from stdin, Print to stdout. Descision, While and For Loops Arrays Session 2: Packages, Methods, Encapsulation Using packages Creating and calling methods, parameters, method overloading Data protection through encapsulation Session 3: Classes, object construction Inheritance, method overload and override Polymorphism or runtime binding Session 4: Constructors, parameterised constructors Create abstract classes and methods Create and use an interface Session 5: Use the access modifiers protected and the default (package-friendly) Create static variables, methods, and initialisers Create final classes, methods, and variables Session 6: Nested Classes, Local Classes, Anonymous Classes, and Lambda Expressions, Enum Types Nested and inner classes; A stack class. What is included PCWorkshops Course Certificate on completion Java Course Notes Java Code Examples Practical Java Course exercises, Java Course Revision work After the course: 1-Hour personalised online revision session Book the Java OOP Course Powered by Eventbrite About us Our experienced trainers are award winners. More about us FAQ's Client Comments

Duration 3 Days 18 CPD hours This course is intended for Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform Overview This course teaches students the following skills: Derive insights from data using the analysis and visualization tools on Google Cloud Platform Interactively query datasets using Google BigQuery Load, clean, and transform data at scale Visualize data using Google Data Studio and other third-party platforms Distinguish between exploratory and explanatory analytics and when to use each approach Explore new datasets and uncover hidden insights quickly and effectively Optimizing data models and queries for price and performance Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. Introduction to Data on the Google Cloud Platform Highlight Analytics Challenges Faced by Data Analysts Compare Big Data On-Premises vs on the Cloud Learn from Real-World Use Cases of Companies Transformed through Analytics on the Cloud Navigate Google Cloud Platform Project Basics Lab: Getting started with Google Cloud Platform Big Data Tools Overview Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools Demo: Analyze 10 Billion Records with Google BigQuery Explore 9 Fundamental Google BigQuery Features Compare GCP Tools for Analysts, Data Scientists, and Data Engineers Lab: Exploring Datasets with Google BigQuery Exploring your Data with SQL Compare Common Data Exploration Techniques Learn How to Code High Quality Standard SQL Explore Google BigQuery Public Datasets Visualization Preview: Google Data Studio Lab: Troubleshoot Common SQL Errors Google BigQuery Pricing Walkthrough of a BigQuery Job Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs Optimize Queries for Cost Lab: Calculate Google BigQuery Pricing Cleaning and Transforming your Data Examine the 5 Principles of Dataset Integrity Characterize Dataset Shape and Skew Clean and Transform Data using SQL Clean and Transform Data using a new UI: Introducing Cloud Dataprep Lab: Explore and Shape Data with Cloud Dataprep Storing and Exporting Data Compare Permanent vs Temporary Tables Save and Export Query Results Performance Preview: Query Cache Lab: Creating new Permanent Tables Ingesting New Datasets into Google BigQuery Query from External Data Sources Avoid Data Ingesting Pitfalls Ingest New Data into Permanent Tables Discuss Streaming Inserts Lab: Ingesting and Querying New Datasets Data Visualization Overview of Data Visualization Principles Exploratory vs Explanatory Analysis Approaches Demo: Google Data Studio UI Connect Google Data Studio to Google BigQuery Lab: Exploring a Dataset in Google Data Studio Joining and Merging Datasets Merge Historical Data Tables with UNION Introduce Table Wildcards for Easy Merges Review Data Schemas: Linking Data Across Multiple Tables Walkthrough JOIN Examples and Pitfalls Lab: Join and Union Data from Multiple Tables Advanced Functions and Clauses Review SQL Case Statements Introduce Analytical Window Functions Safeguard Data with One-Way Field Encryption Discuss Effective Sub-query and CTE design Compare SQL and Javascript UDFs Lab: Deriving Insights with Advanced SQL Functions Schema Design and Nested Data Structures Compare Google BigQuery vs Traditional RDBMS Data Architecture Normalization vs Denormalization: Performance Tradeoffs Schema Review: The Good, The Bad, and The Ugly Arrays and Nested Data in Google BigQuery Lab: Querying Nested and Repeated Data More Visualization with Google Data Studio Create Case Statements and Calculated Fields Avoid Performance Pitfalls with Cache considerations Share Dashboards and Discuss Data Access considerations Optimizing for Performance Avoid Google BigQuery Performance Pitfalls Prevent Hotspots in your Data Diagnose Performance Issues with the Query Explanation map Lab: Optimizing and Troubleshooting Query Performance Advanced Insights Introducing Cloud Datalab Cloud Datalab Notebooks and Cells Benefits of Cloud Datalab Data Access Compare IAM and BigQuery Dataset Roles Avoid Access Pitfalls Review Members, Roles, Organizations, Account Administration, and Service Accounts

Duration 5 Days 30 CPD hours This course is intended for Experienced Programmers and Systems Administrators. Overview Throughout the course students will be led through a series of progressively advanced topics, where each topic consists of lecture, group discussion, comprehensive hands-on lab exercises, and lab review. This course is ?skills-centric?, designed to train attendees in core Python and web development skills beyond an intermediate level, coupling the most current, effective techniques with best practices. Working within in an engaging, hands-on learning environment, guided by our expert Python practitioner, students 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 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. An Overview of Python What is python? 1 -- 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 Built-in 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 Sequences About sequences Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions Generator Expressions Nested sequences 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 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 The standard library The sys module Launching external programs Math functions Random numbers The string module 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 17 ? Advanced data handling Defaultdict and Counter Prettyprinting data structures Compressed archives (zip, gzip, tar, etc.) Persistent data Advanced data handling Defaultdict and Counter Prettyprinting data structures Compressed archives (zip, gzip, tar, etc.) Persistent data Network services Grabbing web content Sending email Using SSH for remote access Using FTP Writing real-life applications Parsing command-line options Detecting the current platform Trapping signals Implementing logging Python Timeline Advantages/Disadvantages of Python Getting help with pydoc

Duration 2 Days 12 CPD hours This course is intended for This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course. 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 leverage Python scripting for data science (to a basic level) using the most current and efficient skills and techniques. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level): How to work with Python interactively in web notebooks The essentials of Python scripting Key concepts necessary to enter the world of Data Science via Python This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it?s often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. An Overview of Python Why Python? Python in the Shell Python in Web Notebooks (iPython, Jupyter, Zeppelin) Demo: Python, Notebooks, and Data Science 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 Sequences, Arrays, Dictionaries and Sets About sequences Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions Generator Expressions Nested sequences Working with Dictionaries Working with Sets Working with files File overview Opening a text file Reading a text file Writing to a text file Reading and writing raw (binary) data Functions Defining functions Parameters Global and local scope Nested functions Returning values Essential Demos Sorting Exceptions Importing Modules Classes Regular Expressions The standard library Math functions The string module Dates and times Working with dates and times Translating timestamps Parsing dates from text Formatting dates Calendar data Python and Data Science Data Science Essentials Pandas Overview NumPy Overview SciKit Overview MatPlotLib Overview Working with Python in Data Science Additional course details: Nexus Humans Python for Data Science: Hands-on Technical Overview (TTPS4873) 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 Python for Data Science: Hands-on Technical Overview (TTPS4873) 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.

Duration 5 Days 30 CPD hours This course is intended for This course is intended for anyone who is new to software development and wants, or needs, to gain an understanding of the fundamentals of coding and basics of C++ and object-oriented programming concepts. This course is for Non-Developers, or anyone who wants to have a basic understanding of and learn how to code C++ applications and syntax Overview Companies are constantly challenged to keep their applications, development projects, products, services (and programmers!) up to speed with the latest industry tools, skills, technologies and practices to stay ahead in the ever-shifting markets that make up today's fiercely competitive business landscape. The need for application, web and mobile developers and coders is seemingly endless as technologies regularly change and grow to meet the modern needs of demanding industries and clients. C++ and Programming Basics for Non-Programmers is a five-day, basic-level training course geared for IT candidates who have little or no prior experience in computer programming. Throughout this gentle introduction to programming and C++, students will learn to create applications and libraries using C++ using best practices and sound OO development techniques for writing object-oriented programs in C++. Special emphasis is placed on object-oriented concepts and best practices throughout the training. Fundamentals of the Program Development Cycle Computer Architecture The Notion of Algorithms Source Code vs. Machine Code Compile-Time vs. Run-Time Software Program Architecture Standalone Client/Server Distributed Web-Enabled IDE (Interactive Development Environment) Concepts Looping Constructs Counter-Controlled Repetition Sentinel-Controlled Repetition Nested Control Constructs break and continue Statements Structured Programming Best Practices Writing Methods (Functions) Static vs. Dynamic Allocation Declaring Methods Declaring Methods with Multiple Parameters Method-Call Stack Scope of Declarations Argument Promotion and Casting Designing Methods for Reusability Method Overloading Arrays Purpose of Arrays Declaring and Instantiating Arrays Passing Arrays to Methods Multidimensional Arrays Variable-Length Argument Lists Using Command-Line Arguments Using Environment Variables Deeper Into Classes and Objects Controlling Access to Class Members Referencing the Current Object Using this Overloading Constructors Default and No-Argument Constructors Composition of Classes Garbage Collection and Destructors The finalize Method Static Class Members Defining Classes Using Inheritance Application Development Fundamentals Structure of a C++ Program Memory Concepts Fundamental Data Type Declarations Fundamental I/O Concepts Fundamental Operators Arithmetic Operators Logical Operators Precedence and Associativity Building and Deploying a C++ Program Superclasses and Subclasses Advantages of Using Inheritance protected Class Members Constructors in Subclasses Increasing Convenience by Using Polymorphism Purpose of Polymorphic Behavior The Concept of a Signature Abstract Classes and Methods final Methods and Classes Purpose of Interfaces Using and Creating Interfaces Common Interfaces of the C++ API Files and Streams Concept of a Stream Class File Sequential Access Object Serialization to/from Sequential Access Files Fundamental Searching and Sorting Introduction to Searching Algorithms Linear Search Binary Search Introduction to Sorting Algorithms Selection Sort Insertion Sort Merge Sort Fundamental Data Structures Dynamic Memory Allocation Linked Lists Stacks Queues Trees Exception Handling Types of Exceptions Exception Handling Overview Introduction to Classes and Objects Classes, Objects and Methods Object Instances Declaring and Instantiating a C++ Object Declaring Methods set and get Methods Initiating Objects with Constructors Primitive Types vs. Reference Types Flow Control Conditional Constructs Exception Class Hierarchy Extending Exception Classes When to Throw or Assert Exceptions Formatted Output printf Syntax Conversion Characters Specifying Field Width and Precision Using Flags to Alter Appearance Printing Literals and Escape Sequences Formatting Output with Class Formatter Strings, Characters and Regular Expressions Fundamentals of Characters and Strings String Class String Operations StringBuilder Class Character Class StringTokenizer Class Regular Expressions Regular Expression Syntax Pattern Class Matcher Class Fundamental GUI Programming Concepts Overview of Swing Components Displaying Text and Graphics in a Window Event Handling with Nested Classes GUI Event Types and Listener Interfaces Mouse Event Handling Layout Managers Additional course details: Nexus Humans C Plus Plus and Programming Basics for Non-Programmers (TTCP2000) 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 C Plus Plus and Programming Basics for Non-Programmers (TTCP2000) 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.