2061 Programming courses

DURATION 5 DAYS 30 CPD HOURS THIS COURSE IS INTENDED FOR THIS COURSE IS DESIGNED FOR IT PROFESSIONALS WHOSE PRIMARY JOB RESPONSIBILITY IS THE MANAGEMENT OF SERVERS AND OTHER DEVICES RUNNING THE LINUX OPERATING SYSTEM. A TYPICAL STUDENT IN THIS COURSE SHOULD HAVE AT LEAST NINE MONTHS OF HANDS-ON LINUX EXPERIENCE AND AT LEAST ONE AND A HALF YEARS OF IT EXPERIENCE IN OTHER COMPUTING ENVIRONMENTS. THE TARGET STUDENT SHOULD WISH TO EXPAND THEIR SKILLSET TO SUPPORT THEIR CAREER IN LINUX SYSTEM ADMINISTRATION AND OPERATION. THIS COURSE IS ALSO DESIGNED FOR STUDENTS WHO ARE SEEKING THE COMPTIA LINUX+ CERTIFICATION AND WHO WANT TO PREPARE FOR EXAM XK0-005. THE LINUX+ CERTIFICATION CAN VALIDATE THE STUDENT'S UNDERSTANDING AND SKILL IN CONFIGURING, MONITORING, AND SUPPORTING LINUX SYSTEMS. OVERVIEW IN THIS COURSE, YOU WILL CONFIGURE, OPERATE, AND TROUBLESHOOT LINUX SYSTEMS. YOU WILL: - PERFORM BASIC LINUX TASKS. - MANAGE USERS AND GROUPS. - MANAGE PERMISSIONS AND OWNERSHIP. - MANAGE STORAGE. - MANAGE FILES AND DIRECTORIES. - MANAGE KERNEL MODULES. - MANAGE THE LINUX BOOT PROCESS. - MANAGE SYSTEM COMPONENTS. - MANAGE DEVICES. - MANAGE NETWORKING. - MANAGE PACKAGES AND SOFTWARE. - SECURE LINUX SYSTEMS. - WRITE AND EXECUTE BASH SHELL SCRIPTS. - AUTOMATE TASKS. - PLAN AND PERFORM A LINUX INSTALLATION. DESCRIPTION THE OFFICIAL COMPTIA© LINUX+© COURSEWARE BUILDS ON YOUR EXISTING EXPERIENCE WITH SYSTEMS OPERATIONS AND ADMINISTRATION TO PROVIDE YOU WITH THE KNOWLEDGE AND SKILLS REQUIRED TO CONFIGURE, MANAGE, OPERATE, AND TROUBLESHOOT A LINUX ENVIRONMENT BY USING SECURITY BEST PRACTICES, SCRIPTING, AND AUTOMATION. THIS COURSE WILL ALSO PREPARE YOU FOR THE EXAM XKO-005. 1 - PERFORMING BASIC LINUX TASKS * Identify the History and Development of Linux * Enter Shell Commands * Get Help Using Linux 2 - MANAGING USERS AND GROUPS * Assume Superuser Privileges * Create, Modify, and Delete Users * Create, Modify, and Delete Groups * Query Users and Groups * Configure Account Profiles 3 - MANAGING PERMISSIONS AND OWNERSHIP * Modify File and Directory Permissions * Modify File and Directory Ownership * Configure Special Permissions and Attributes * Troubleshoot Permissions Issues 4 - MANAGING STORAGE * Create Partitions * Manage Logical Volumes * Mount File Systems * Manage File Systems * Navigate the Linux Directory Structure * Troubleshoot Storage Issues 5 - MANAGING FILES AND DIRECTORIES * Create and Edit Text Files * Search for Files * Perform Operations on Files and Directories * Process Text Files * Manipulate File Output 6 - MANAGING KERNEL MODULES * Explore the Linux Kernel * Install and Configure Kernel Modules * Monitor Kernel Modules 7 - MANAGING THE LINUX BOOT PROCESS * Configure Linux Boot Components * Configure GRUB 2 8 - MANAGING SYSTEM COMPONENTS * Configure Localization Options * Configure GUIs * Manage Services * Troubleshoot Process Issues * Troubleshoot CPU and Memory Issues 9 - MANAGING DEVICES * Identify the Types of Linux Devices * Configure Devices * Monitor Devices * Troubleshoot Hardware Issues 10 - MANAGING NETWORKING * Identify TCP/IP Fundamentals * Identify Linux Server Roles * Connect to a Network * Configure DHCP and DNS Client Services * Configure Cloud and Virtualization Technologies * Troubleshoot Networking Issues 11 - MANAGING PACKAGES AND SOFTWARE * Identify Package Managers * Manage RPM Packages with YUM * Manage Debian Packages with APT * Configure Repositories * Acquire Software * Build Software from Source Code * Troubleshoot Software Dependency Issues 12 - SECURING LINUX SYSTEMS * Implement Cybersecurity Best Practices * Implement Identity and Access Management Methods * Configure SELinux or AppArmor * Configure Firewalls * Implement Logging Services * Back Up, Restore, and Verify Data 13 - WORKING WITH BASH SCRIPTS * Customize the Bash Shell Environment * Identify Scripting and Programming Fundamentals * Write and Execute a Simple Bash Script * Incorporate Control Statements in Bash Scripts 14 - AUTOMATING TASKS * Schedule Jobs * Implement Version Control Using Git * Identify Orchestration Concepts 15 - INSTALLING LINUX * Prepare for Linux Installation * Perform the Installation ADDITIONAL COURSE DETAILS: Nexus Humans CompTIA Linux Plus Certification (Exam XK0-005) 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 CompTIA Linux Plus Certification (Exam XK0-005) 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.

This qualification is aimed to give the individuals the skills and knowledge required to programme, supervise and induct a safe and effective programme for disabled clients.

PYTHON BASICS: COURSE DESCRIPTION Excellent for beginners, practical, in small groups of max 4 people, 1 Day Online Instructor-led. You could contact us for your prefereed date. Session 1: Python Data Types and Variables: * Primitive types; Characters & Strings; Boolean; Working with variables and its scope; Conversion and casting types in Python. * Operators and Expressions: * Introduction of operators; Arithmetic operators; Relational operators; Assignment operator; Logical operators; Increment and decrement operators.. * Exercise: Calculate Movie Tickets for a Party, Are there enough seats in the cinema? Decision Making & Loops * If statement; If - else statement; If- elif - else statement; Nested if - else; * Exercise: Calculate the travel fee to deliver goods * The while, For loop * Jump statements: break, continue; * Nesting loops. * Exercise: Enter a password, if incorrect 3 times, you are blocked. Session 2: Data Structures * Lists. * Tuples. * Exercise: Hangman Game * Exercise: Get a word for the game from a Json File, store the high score in a Dictionary file Session 3: Files and exceptions * Exception Handling, Exception types; Using try and Except. * Files, streams: Open, Traverse, Read and Create Files: Csv, txt and Json Files. * API: Connecting to API’s. Session 4: OOP * Creating and using custom Functions. * Using parameters and return values. * Creating a Class; Creating an Object; Using an Object; Adding Instance variables; * Class Constructors; Parameterized Constructors. * Inheritance. Override. Session 5: Pandas Dataframe Basics * Getting data into a dataframe: Dict to Dataframe, Dataframe to Dict. Excel To Dict, Dict to Excel , working with Excel data, multiple Excel sheets. * Getting information about the dataframe, * Filter, sort and query a Dataframes, Slicing Dataframes, * Duplicate values,Working with null-values, Sampling. * Exercise: Query the top 1000 grossing movies of the last century Session 6: Built in Functions: String, Math, Random * Python built-in functions: * Strings functions. Maths functions. Random Functions. * Exercise: Find information in prose, to get the sentiment of the prose. * Exercise: Get a word for the game from a txt File * Exercise: Win the lottery INCLUDED: * PCWorkshops's Python Programming Basics Certification * Course notes, exercises and code examples * Revision session after the course -------------------------------------------------------------------------------- REFUND POLICY No Refunds

Python coding, interactive, instructor-led, hands-on, practical. From basics to working with professionals. Python Part Time. Python Coding. -------------------------------------------------------------------------------- Python Beginners Evenings Course COURSE SUMMARY This Python Programming course has become essential to all professional who would like to do code using Python. Learn evenings, work while studying. Work and study Python Part Time. It is a Python beginners course and teaches Python coding from scratch to intermediate. Hands-on, practical. We code some real life examples in this course. Duration: 3 Evenings, once per week for 3 weeks 6pm-8pm, of which the first date only shows on the booking. Virtual Classroom: You could attend in our classroom, or attend online via virtual classroom, by select the appropriate ticket. Who Should Attend? This course is intended for beginner programmers who need to code in Python. Fast-paced, Quite intensive. Course Outline: Session 1: Basics * Python Data Types, Variables, * Operators and Expressions: Arithmetic operators; Relational operators; Assignment operator; Logical operators. * Decision Making: If statement; If - else statement; If- elif - else statement; Nested if - else; * Using Loops: The while, while-else; do-while and the for loop; Enhanced for loop; Jump statements: break, continue; Nesting loops. Session 2: Lists. Dictionaries, Json * Python Data Structures: Lists. Data Structures: 2-d Lists, Tuples. Dictionary, Nested Disctionary. Session 3: Built-in functions: * Python Date Functions. Random. Math Functions. String Functions. Python Regex. Session 4: Database: * Connect to a database, create Database, create a table, insert, delete, update records, query a database and display results. Drop database, drop table. Session 5: Files * Exception Handling in Python: Fundamentals of exception handling; Exception types; Using try and except. * Files, streams: Create, Open, Traverse and Read Files: Csv, txt and Json Files. * API: Connecting to API’s Session 6: M ethods, Classes and Objects * Creating and using Function, Working with parameters, Calling functions. * Object-Oriented Programming (OOP) principles. Modules and Classes, Creating an Object; Using an Object; Adding Instance variables; Controlling accessibility; Naming conventions for class member.s FAQ Do I need Python on my Laptop? Ideally spoken yes, but if not possible, you could use our online platform. Can I pay by BACS? Yes, simply email us, a Python course consultant will contact you. training@pcworkshopslondon.co.uk or pcworkshopslondon@gmail.com Can I pay with PayPal? Yes, simply email us, a course consultant will contact you. training@pcworkshopslondon.co.uk or pcworkshopslondon@gmail.com Do I get an invoice? Yes, on request. Can I pay with a PO (Purchase Order Number)? Yes, simply email us, a Python course consultant will contact you. training@pcworkshopslondon.co.uk or pcworkshopslondon@gmail.com Do I get a certificate? Yes, a PCWorkshops Certificate Can I attend in classroom? Yes, on request, and it would incur an additional charge, depending on your location. We have offices in London, Manchester, Birmingham, Portmouth, Southend-on-Sea, Milton Keynes. Can beginners follow this course? Yes, this is a Python beginner friendly course. We offer Python courses with max 4 people, so we make sure each delegates fully understand the material covered Can I customise the course? Yes, all our Python courses are customisable. We can customise the dates, times, location. course outline. -------------------------------------------------------------------------------- REFUND POLICY No Refunds

This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. -------------------------------------------------------------------------------- Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: * We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project * We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms.  Course Outline: 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 Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: * Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting * Reinforcement learning Algorithms: Q-Learning * Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: * The first part of a Machine Learning project understands the data and the problem at hand. * Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: * Python Machine Learning Certificate on completion   * Python Machine Learning notes * Practical Python Machine Learning exercises and code examples * After the course, 1 free, online session for questions or revision Python Machine Learning. * Max group size on this Python Machine Learning is 4. -------------------------------------------------------------------------------- REFUND POLICY No Refunds

Discover personal transformation with our weekly sessions! Dive into self-discovery, redefine your path, and master decision-making. Join us every Wednesday for 50 minutes. Reserve your spot today and start your journey to a new you!

This Python BootCamp is Instructor-led, Practical. In the12-week Python course, learn start to in-depth, leading to a good Python career. -------------------------------------------------------------------------------- PYTHON BOOTCAMP: This 12-week Python Boot Camp is a practical, instructor-lead program, covering Python from start to in-depth. You will be fully fluent and confident as a Python programmer. If you have more questions goto https://pcworkshopslondon.co.uk/contact.html  [http://pcworkshopslondon.co.uk/contact.html], Or contact us on training@pcworkshopslondon.co.uk [https://pcworkshopslondon.co.uk/] Customise dates, course outline, arrange installments [https://pcworkshopslondon.co.uk/contact.htm] This course will give you enough practical experience and practical projects to code, to give you full confidence to enter into the coding profession.    Duration: 3 months: * 1 Python class per week, * Plus pratical work, * Plus personal trainer-mentor for 1-1 training, * Plus e-learning materials. Final project : Practical to upload to GitHub and show-case Date and times, choose: * Fridays in London or Online , 10am - 5pm, * or Saturdays in London or Online , 12noon-6pm, * or negotiate your date Study level: Start from beginners level to in-depth, ready to work professionally. Virtual attendance:  online instructor-led  Download: Anaconda.com Pre-requisites: General computer literacy. Oracle Qualification: PCWorkshops Python Programmer Certificate Payments:  You may apply to pay in installments for this Python Training course COURSE OUTLINE Week 1 - 4: Essentials 1. Python Coding Basics 2. Object Oriented programming: Python Object Orientated programming (OOP) 3. UX Principles: UX Principles and applying it on Front-ends with TKinter 4. Specialised topics: Dates, Localization, Strings, Maths Operation , Random Number, Lambdas Week 5 - 10 : All about data 1. Python Data Structures: Lists, Tuples, Sets, Exceptions, I/O Fundamentals , Reading and Writing file 2. Database: Database principles and SQL. Database Project: Python database connections and creating a database driven project 3. Data Analytics: Numpy. Pandas for data analytics and data queries. 4. Data Analytics: Pandas data cleaning and restructuring, interacticting with Excel, Csv, Json,etc. 5. Data visualisation: MatPlotLib 6. Prediction: Machine Learning Basics Week 11 and 12: The final touch 1. Python Concurrency and Multi-threading: Threads vs. Processes, Threading Module, Threading Event, Stop a Thread, Daemon Threads, Thread-safe Queue, Thread Pools, Locks 2. Python Unit Testing 3. Optional : Replace Week 11 or 12 with Scraping using Python, ot Tkinter Front-ends INCLUDED: * PCWorkshops Python Course Certificate on completion. * Python Course notes. * Practical Course exercises, Code Examples, Online Materials. * After the course, continuous assistance with practical and preparation for exams * Max group size on this is 4. * Portfolio: Post your Python project online. * Exam preparation and interview questions MORE ABOUT THE ONLINE CLASSROOM *  Attend from your internet connection *  Instructor-led, get instant answers to your questions *  Fully interactive *  Work clearly explained with demonstrations and examples *  Practical exercises to be tried out by delegate WHAT YOU WILL GAIN: * Skills & knowledge: Python coding knowledge and understanding with good practical application   * Certification: Internal PCWorkshops Python certificate * Portfolio: You will have an online portfolio of Python projects  * Experience: Our comprehensive practical makes you job ready -------------------------------------------------------------------------------- REFUND POLICY No Refunds

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 PROGRAMMING FUNDAMENTALS AND OBJECT-ORIENTED PROGRAMMING CONCEPTS. THEY WILL TYPICALLY BE HIGH SCHOOL STUDENTS, POST-SECONDARY SCHOOL STUDENTS, OR CAREER CHANGERS, WITH NO PRIOR PROGRAMMING EXPERIENCE. THEY MIGHT WANT TO GAIN AN UNDERSTANDING OF THE CORE PROGRAMMING FUNDAMENTALS BEFORE MOVING ON TO MORE ADVANCED COURSES SUCH AS PROGRAMMING IN C#. OVERVIEW EXPLAIN CORE PROGRAMMING FUNDAMENTALS SUCH AS COMPUTER STORAGE AND PROCESSING. EXPLAIN COMPUTER NUMBER SYSTEMS SUCH AS BINARY. CREATE AND USE VARIABLES AND CONSTANTS IN PROGRAMS. EXPLAIN HOW TO CREATE AND USE FUNCTIONS IN A PROGRAM. CREATE AND USE DECISIONS STRUCTURES IN A COMPUTER PROGRAM. CREATE AND USE REPETITION (LOOPS) IN A COMPUTER PROGRAM. EXPLAIN PSEUDOCODE AND ITS ROLE IN PROGRAMMING. EXPLAIN THE BASIC COMPUTER DATA STRUCTURES SUCH AS ARRAYS, LISTS, STACKS, AND QUEUES. IMPLEMENT OBJECT-ORIENTED PROGRAMMING CONCEPTS. CREATE AND USE CLASSES IN A COMPUTER PROGRAM. IMPLEMENT ENCAPSULATION, INHERITANCE, AND POLYMORPHISM. DESCRIBE THE BASE CLASS LIBRARY (BCL) IN THE .NET FRAMEWORK. EXPLAIN THE APPLICATION SECURITY CONCEPTS. IMPLEMENT SIMPLE I/O IN A COMPUTER PROGRAM. IDENTIFY APPLICATION ERRORS AND EXPLAIN HOW TO DEBUG AN APPLICATION AND HANDLE ERRORS. IDENTIFY THE PERFORMANCE CONSIDERATIONS FOR APPLICATIONS. DESCRIPTION IN THIS 5-DAY COURSE, STUDENTS WILL LEARN THE BASICS OF COMPUTER PROGRAMMING THROUGH THE USE OF MICROSOFT VISUAL STUDIO 2022 AND THE VISUAL C# AND VISUAL BASIC PROGRAMMING LANGUAGES. THE COURSE ASSUMES NO PRIOR PROGRAMMING EXPERIENCE AND INTRODUCES THE CONCEPTS NEEDED TO PROGRESS TO THE INTERMEDIATE COURSES ON PROGRAMMING, PROGRAMMING IN C#. THE FOCUS WILL BE ON CORE PROGRAMMING CONCEPTS SUCH AS COMPUTER STORAGE, DATA TYPES, DECISION STRUCTURES, AND REPETITION BY USING LOOPS. THE COURSE ALSO COVERS AN INTRODUCTION TO OBJECT-ORIENTED PROGRAMMING COVERING CLASSES, ENCAPSULATION, INHERITANCE, AND POLYMORPHISM. COVERAGE IS ALSO INCLUDED AROUND EXCEPTION HANDLING, APPLICATION SECURITY, PERFORMANCE, AND MEMORY MANAGEMENT. 1 - INTRODUCTION TO CORE PROGRAMMING CONCEPTS * Computer Data Storage and Processing * Application Types * Application Lifecycle * Code Compilation 2 - CORE PROGRAMMING LANGUAGE CONCEPTS * Syntax * Data Types * Variables and Constants 3 - PROGRAM FLOW * Introduction to Structured Programming Concepts * Introduction to Branching * Using Functions * Using Decision Structures * Introducing Repetition 4 - ALGORITHMS AND DATA STRUCTURES * Understand How to Write Pseudocode * Algorithm Examples * Introduction to Data Structures 5 - ERROR HANDLING AND DEBUGGING * Introduction to Program Errors * Introduction to Structured Error Handling * Introduction to Debugging 6 - INTRODUCTION TO OBJECT-ORIENTED PROGRAMMING * Introduction to Complex Structures * Introduction to Structs * Introduction to Classes * Introducing Encapsulation 7 - MORE OBJECT-ORIENTED PROGRAMMING * Introduction to Inheritance * Introduction to Polymorphism * Introduction to .NET and the Base Class Library 8 - INTRODUCTION TO APPLICATION SECURITY * Authentication and Authorization * Code Permissions on Computers * Introducing Code Signing 9 - CORE I/O PROGRAMMING * Using Console I/O * Using File I/O 10 - APPLICATION PERFORMANCE AND MEMORY MANAGEMENT * Value Types vs Reference Types * Converting Types * The Garbage Collector ADDITIONAL COURSE DETAILS: Nexus Humans 55337 Introduction to Programming 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 55337 Introduction to Programming 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 2 DAYS 12 CPD HOURS THIS COURSE IS INTENDED FOR THIS COURSE IS DESIGNED FOR PEOPLE WHO NEED OUTPUT FROM A DATABASE. IN SOME CASES, DATABASE PROGRAMS HAVE LIMITED REPORTING TOOLS, OR TOOLS THAT ARE NOT ACCESSIBLE. LEARNERS MAY OR MAY NOT HAVE PROGRAMMING OR SQL EXPERIENCE. OVERVIEW IN THIS COURSE, YOU WILL CONNECT TO A DATABASE TO EXTRACT DATA AND PRESENT IT AS A REPORT. YOU WILL: IDENTIFY THE ELEMENTS OF THE CRYSTAL REPORTS INTERFACE. CREATE AND MODIFY A BASIC REPORT. USE FORMULAS TO CALCULATE AND FILTER DATA. BUILD A PARAMETERIZED REPORT. GROUP REPORT DATA. ENHANCE A REPORT. CREATE A REPORT USING DATA FROM AN EXCEL WORKBOOK. DISTRIBUTE DATA. DESCRIPTION IN THIS COURSE, STUDENTS WILL CREATE A BASIC REPORT BY CONNECTING TO A DATABASE AND MODIFYING THE REPORT'S PRESENTATION. 1 - EXPLORING THE CRYSTAL REPORTS INTERFACE * Topic A: Explore Crystal Reports * Topic B: Use Crystal Reports Help * Topic C: Customize Report Settings 2 - WORKING WITH REPORTS * Topic A: Create a Report * Topic B: Modify a Report * Topic C: Display Specific Report Data * Topic D: Work with Report Sections 3 - USING FORMULAS IN REPORTS * Topic A: Create a Formula * Topic B: Edit a Formula * Topic C: Filter Data by Using a Formula * Topic D: Work with Advanced Formulas and Functions * Topic E: Handle Null Values 4 - BUILDING PARAMETERIZED REPORTS * Topic A: Create a Parameter Field * Topic B: Use a Range Parameter in a Report * Topic C: Create a Prompt 5 - GROUPING REPORT DATA * Topic A: Group Report Data * Topic B: Modify a Group Report * Topic C: Group by Using Parameters * Topic D: Create a Parameterized Top N Report 6 - ENHANCING A REPORT * Topic A: Format a Report * Topic B: Insert Objects in a Report * Topic C: Suppress Report Sections * Topic D: Use Report Templates 7 - CREATING A REPORT FROM EXCEL DATA * Topic A: Create a Report Based on Excel Data * Topic B: Modify a Report Generated from Excel Data * Topic C: Update Data in a Report Based on Excel Data 8 - DISTRIBUTING DATA * Topic A: Export Data * Topic B: Create Mailing Labels 9 - APPENDIX * Appendix A: Setting Up and Configuring Data Sources * Appendix B: Using Report Processing Techniques * Appendix C: Using Functions in Formulas

Learn Python 3 programming fast!