17841 Courses delivered Online

Duration 1 Days 6 CPD hours Overview In writing, it is important to make sure your message is easy to understand, that you have included all the necessary information, and that the points are expressed clearly. In business writing, it is also essential to convey information in a professional and courteous manner using proper formatting. Learn how to perfect your business writing in this one-day workshop. This one-day workshop will help you teach participants how to: Write and proofread your work so it is clear, concise, complete, and correct. Apply these skills in real world situations. Use language that is courteous. Understand the proper format for memos, letters, and emails. Determine whether your writing can be easily understood by your intended audience. Learn how to perfect your business writing in this one-day workshop.While there are many types of business writing, this workshop will provide tools to write effective memos, emails, and letters, as well as briefly touch on reports and proposals. The 4 C?s: Clear, Concise, Complete, and Correct Good writing must be clear, concise, complete, and correct. In this session, learn how to write with these principles in mind. Manners and Courtesy Courtesy is an important part of good business writing. During this session, participants will learn ways to make their writing respectful and polite. Writing Memos Memos are another challenge that many writers face. Participants will look at parts of a memo and complete a fun exercise. Writing Effective E-mails Mostly everyone today uses email to communicate at work and at home. This session will give participants some tips on writing effective emails and managing email. Reports and Proposals Reports and proposals are two important types of business writing. In this session, an overview of the steps involved with writing these pieces is presented. Writing Business Letters This session reviews the steps for writing a business letter, types of letters, and the parts of a business letter. Participants then examine samples of business letters to determine the type and the parts of each letter. Readability Index The readability index determines the difficulty level of a written piece. Participants will apply the index to a sample and to their own work. Proofreading Participants learn about checking the grammar, spelling and punctuation in their written pieces, and then review their pre-assignment. Reviewing Your Writing In this session, participants complete a final review of their piece of writing. Workshop Wrap-Up At the end of the workshop, students will have an opportunity to ask questions and fill out an action plan.

Duration 3 Days 18 CPD hours This course is intended for Data Wrangling with Python takes a practical approach to equip beginners with the most essential data analysis tools in the shortest possible time. It contains multiple activities that use real-life business scenarios for you to practice and apply your new skills in a highly relevant context. Overview By the end of this course, you will be confident in using a diverse array of sources to extract, clean, transform, and format your data efficiently. In this course you will start with the absolute basics of Python, focusing mainly on data structures. Then you will delve into the fundamental tools of data wrangling like NumPy and Pandas libraries. You'll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python.This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you'll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool. The course will further help you grasp concepts through real-world examples and datasets. Introduction to Data Structure using Python Python for Data Wrangling Lists, Sets, Strings, Tuples, and Dictionaries Advanced Operations on Built-In Data Structure Advanced Data Structures Basic File Operations in Python Introduction to NumPy, Pandas, and Matplotlib NumPy Arrays Pandas DataFrames Statistics and Visualization with NumPy and Pandas Using NumPy and Pandas to Calculate Basic Descriptive Statistics on the DataFrame Deep Dive into Data Wrangling with Python Subsetting, Filtering, and Grouping Detecting Outliers and Handling Missing Values Concatenating, Merging, and Joining Useful Methods of Pandas Get Comfortable with a Different Kind of Data Sources Reading Data from Different Text-Based (and Non-Text-Based) Sources Introduction to BeautifulSoup4 and Web Page Parsing Learning the Hidden Secrets of Data Wrangling Advanced List Comprehension and the zip Function Data Formatting Advanced Web Scraping and Data Gathering Basics of Web Scraping and BeautifulSoup libraries Reading Data from XML RDBMS and SQL Refresher of RDBMS and SQL Using an RDBMS (MySQL/PostgreSQL/SQLite) Application in real life and Conclusion of course Applying Your Knowledge to a Real-life Data Wrangling Task An Extension to Data Wrangling

Duration 4 Days 24 CPD hours This course is intended for This course is intended for Network Administrators, Network Engineers, Network Operations Technicians, and students interested in learning about programming. Overview Upon completing this course, the learner will be able to meet these overall objectives:Understand and describe basic and advanced Python terminologiesIdentify and correct Python script errorsPull and reconfigure networking devices using Python scriptsIntroduction to RESTful API utilizing JSON and XML This course focuses on the interoperability of Python programming with Networking to prepare students for Software Defined Networking. This class is designed for students looking to add programming skills in preparation for various ACI & SDN technologies. Basic Constructs Describe and execute strings Describe and execute printing Describe and execute variables Describe and execute built in methods Describe and execute input from users Describe Boolean expressions Advanced Constructs Describe and execute redundant scripts Describe and execute functions Describe and execute classes Scaling Python Describe and execute Reading Files scripts Describe and execute Writing to File scripts Describe and execute substituting strings and integers Describe and execute while loops Describe and execute for loops and lists Describe and execute slicing Updating and edit a list Error checking Dictionaries and Regular Expressions Describe and execute dictionaries Delete dictionaries Describe and execute dictionaries with lists Describe and execute regular expressions (match, search, findall, sub) XML and JSON Describe XML format Describe JSON Format Example of XML Example of JSON What is an XML Schema? Describe SOAP Example of CURL with a Web Based Application Example of a SOAP exchange with a Web based Application Example of REST with a Web based Application Putting It All Together Apply Python principles with a SOAP Client Apply Python principles with REST and WSDL Apply native Python modules Additional course details: Nexus Humans Introducing Python and Web Services Programmability for Network Engineers - v3.0 IPWSP-NE 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 Introducing Python and Web Services Programmability for Network Engineers - v3.0 IPWSP-NE 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 1 Days 6 CPD hours This course is intended for This course is intended for managers and supervisors engaged in working with the Millennial generation workforce. Overview Upon successful completion of this course, participants will be able to define onboarding, discuss the characteristics of Millennials, and develop action plans for working with them. In this course, participants will learn to build an onboarding process that recognizes the challenges and strengths of the Millennial workforce. Getting Started Workshop Objectives Action Plan Purpose of Onboarding Start Up Costs Employee Anxiety Employee Turnover Realistic Expectations Practical Illustration Introduction Why Onboarding? Importance of Onboarding Making Employees Feel Welcome First Day Checklist Practical Illustration Millennials and Onboarding Who are Millennials? How Do Millennials Differ from Other Workers? Investiture Socialization ? Let Them Be Themselves! Informal Rather than Formal Onboarding Processes Practical Illustration Onboarding Checklist Pre-Arrival Arrival First Day First Week First Month Practical Illustration Engaging the Millennial Employee Create an Informal Program Engage Employees One-on-one The Role of Human Resources The Role of Managers Practical Illustration Following Up with the Millennial Employee Initial Check-In ? One-on-one Following up ? Regular, Informal Follow Ups Setting Schedules ? Millennials and Work-Life Mentoring and the Millennial Practical Illustration Setting Expectations with the Millennial Employee Define Requirements ? Provide Specific Instructions Identify Opportunities for Improvement and Growth Set Verbal Expectations Put It in Writing Practical Illustration Mentoring the Millennial Be Hands-On and Involved Serial Mentoring Be a Mentor, Not an Authority Figure Focus Millennia?s Exploratory Drive on Work Practical Illustration Assigning Work to the Millennial Employee Provide Clear Structure and Guidelines Provide Specific Benchmarks Set Boundaries and Provide Reality Checks Practical Illustration Providing Feedback Millennials Thrive on Feedback! Characteristics of Quality Feedback Informal Feedback Formal Feedback Practical Illustration Wrapping Up Words From the Wise Additional course details: Nexus Humans Millennial Onboarding 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 Millennial Onboarding 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 4 Days 24 CPD hours This course is intended for This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Overview Skills gained in this training include:The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysisThe fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with HadoopHow Pig, Hive, and Impala improve productivity for typical analysis tasksJoining diverse datasets to gain valuable business insightPerforming real-time, complex queries on datasets Cloudera University?s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Hadoop Fundamentals The Motivation for Hadoop Hadoop Overview Data Storage: HDFS Distributed Data Processing: YARN, MapReduce, and Spark Data Processing and Analysis: Pig, Hive, and Impala Data Integration: Sqoop Other Hadoop Data Tools Exercise Scenarios Explanation Introduction to Pig What Is Pig? Pig?s Features Pig Use Cases Interacting with Pig Basic Data Analysis with Pig Pig Latin Syntax Loading Data Simple Data Types Field Definitions Data Output Viewing the Schema Filtering and Sorting Data Commonly-Used Functions Processing Complex Data with Pig Storage Formats Complex/Nested Data Types Grouping Built-In Functions for Complex Data Iterating Grouped Data Multi-Dataset Operations with Pig Techniques for Combining Data Sets Joining Data Sets in Pig Set Operations Splitting Data Sets Pig Troubleshoot & Optimization Troubleshooting Pig Logging Using Hadoop?s Web UI Data Sampling and Debugging Performance Overview Understanding the Execution Plan Tips for Improving the Performance of Your Pig Jobs Introduction to Hive & Impala What Is Hive? What Is Impala? Schema and Data Storage Comparing Hive to Traditional Databases Hive Use Cases Querying with Hive & Impala Databases and Tables Basic Hive and Impala Query Language Syntax Data Types Differences Between Hive and Impala Query Syntax Using Hue to Execute Queries Using the Impala Shell Data Management Data Storage Creating Databases and Tables Loading Data Altering Databases and Tables Simplifying Queries with Views Storing Query Results Data Storage & Performance Partitioning Tables Choosing a File Format Managing Metadata Controlling Access to Data Relational Data Analysis with Hive & Impala Joining Datasets Common Built-In Functions Aggregation and Windowing Working with Impala How Impala Executes Queries Extending Impala with User-Defined Functions Improving Impala Performance Analyzing Text and Complex Data with Hive Complex Values in Hive Using Regular Expressions in Hive Sentiment Analysis and N-Grams Conclusion Hive Optimization Understanding Query Performance Controlling Job Execution Plan Bucketing Indexing Data Extending Hive SerDes Data Transformation with Custom Scripts User-Defined Functions Parameterized Queries Choosing the Best Tool for the Job Comparing MapReduce, Pig, Hive, Impala, and Relational Databases Which to Choose?

Duration 5 Days 30 CPD hours This course is intended for This course is designed for students who want to learn the R programming language, particularly students who want to leverage R for data analysis and data science tasks in their organization. The course is also designed for students with an interest in applying statistics to real-world problems. A typical student in this course should have several years of experience with computing technology, along with a proficiency in at least one other programming language. Overview In this course, you will use R to perform common data science tasks.You will: Set up an R development environment and execute simple code. Perform operations on atomic data types in R, including characters, numbers, and logicals. Perform operations on data structures in R, including vectors, lists, and data frames. Write conditional statements and loops. Structure code for reuse with functions and packages. Manage data by loading and saving datasets, manipulating data frames, and more. Analyze data through exploratory analysis, statistical analysis, and more. Create and format data visualizations using base R and ggplot2. Create simple statistical models from data. In our data-driven world, organizations need the right tools to extract valuable insights from that data. The R programming language is one of the tools at the forefront of data science. Its robust set of packages and statistical functions makes it a powerful choice for analyzing data, manipulating data, performing statistical tests on data, and creating predictive models from data. Likewise, R is notable for its strong data visualization tools, enabling you to create high-quality graphs and plots that are incredibly customizable. This course will teach you the fundamentals of programming in R to get you started. It will also teach you how to use R to perform common data science tasks and achieve data-driven results for the business. Lesson 1: Setting Up R and Executing Simple Code Topic A: Set Up the R Development Environment Topic B: Write R Statements Lesson 2: Processing Atomic Data Types Topic A: Process Characters Topic B: Process Numbers Topic C: Process Logicals Lesson 3: Processing Data Structures Topic A: Process Vectors Topic B: Process Factors Topic C: Process Data Frames Topic D: Subset Data Structures Lesson 4: Writing Conditional Statements and Loops Topic A: Write Conditional Statements Topic B: Write Loops Lesson 5: Structuring Code for Reuse Topic A: Define and Call Functions Topic B: Apply Loop Functions Topic C: Manage R Packages Lesson 6: Managing Data in R Topic A: Load Data Topic B: Save Data Topic C: Manipulate Data Frames Using Base R Topic D: Manipulate Data Frames Using dplyr Topic E: Handle Dates and Times Lesson 7: Analyzing Data in R Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Identify Missing Values Lesson 8: Visualizing Data in R Topic A: Plot Data Using Base R Functions Topic B: Plot Data Using ggplot2 Topic C: Format Plots in ggplot2 Topic D: Create Combination Plots Lesson 9: Modeling Data in R Topic A: Create Statistical Models in R Topic B: Create Machine Learning Models in R

Duration 3.75 Days 22.5 CPD hours This course is intended for New systems administrators Overview When you complete this course, you will be able to:Customize your application, including page layouts, fields, tabs, and business processes in Lightning Experience.Learn how security settings created in Salesforce Classic are applied in Lightning.Maintain and import clean data in Lightning.Use Lightning features to create high-value reports and dashboards.Understand how workflow automation complies with Lightning This course is the core training that ensures your success with Salesforce Lightning. It?s a must for new administrators, and we recommend completing this course before starting a Salesforce deployment or when taking over an existing deployment. Getting Around the App Data Model and Navigation Lightning Experience Help & Training Getting Your Organization Ready for Users Setting Up the Company Profile Configuring the User Interface Setting Up Activities and Calendars Configuring Search Settings Setting Up Chatter Groups Mobile Access with Salesforce1 Setting Up & Managing Users Managing User Profiles Managing Users Setting Up Chatter Free Users and Invites Troubleshooting Login Issues Security & Data Access Restricting Logins Determining Object Access Setting Up Record Access Creating a Role Hierarchy Dealing with Record Access Exceptions Managing Field-level Security Object Customizations Administering Standard Fields Creating New Custom Fields Creating Selection Fields: Picklists and Lookups Creating Formula Fields Working with Page Layouts Working with Record Types and Business Processes Maintaining Data Quality Managing Data Import Wizards Data Loader Data.com Mass Transfer Backing Up Data Mass Delete and Recycle Bin Reports & Dashboards Running and Modifying Reports Creating New Reports with the Report Builder Working with Report Filters Summarizing with Formulas and Visual Summaries Printing, Exporting, and Emailing Reports Building Dashboards Automation Email Templates Workflow Rules Process Builder Lead Automation Managing the Support Process Managing and Resolving Cases Customizing a Support Process Automating Support Understanding the Salesforce Console for Service Collaborating in the Service Cloud Analyzing Support Data Additional course details: Nexus Humans Salesforce Administration Essentials for New Admins in Lightning Experience (ADX201) 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 Salesforce Administration Essentials for New Admins in Lightning Experience (ADX201) 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 4 Days 24 CPD hours This course is intended for This course is best suited to developers, engineers, and architects who want to use use Hadoop and related tools to solve real-world problems. Overview Skills learned in this course include:Creating a data set with Kite SDKDeveloping custom Flume components for data ingestionManaging a multi-stage workflow with OozieAnalyzing data with CrunchWriting user-defined functions for Hive and ImpalaWriting user-defined functions for Hive and ImpalaIndexing data with Cloudera Search Cloudera University?s four-day course for designing and building Big Data applications prepares you to analyze and solve real-world problems using Apache Hadoop and associated tools in the enterprise data hub (EDH). IntroductionApplication Architecture Scenario Explanation Understanding the Development Environment Identifying and Collecting Input Data Selecting Tools for Data Processing and Analysis Presenting Results to the Use Defining & Using Datasets Metadata Management What is Apache Avro? Avro Schemas Avro Schema Evolution Selecting a File Format Performance Considerations Using the Kite SDK Data Module What is the Kite SDK? Fundamental Data Module Concepts Creating New Data Sets Using the Kite SDK Loading, Accessing, and Deleting a Data Set Importing Relational Data with Apache Sqoop What is Apache Sqoop? Basic Imports Limiting Results Improving Sqoop?s Performance Sqoop 2 Capturing Data with Apache Flume What is Apache Flume? Basic Flume Architecture Flume Sources Flume Sinks Flume Configuration Logging Application Events to Hadoop Developing Custom Flume Components Flume Data Flow and Common Extension Points Custom Flume Sources Developing a Flume Pollable Source Developing a Flume Event-Driven Source Custom Flume Interceptors Developing a Header-Modifying Flume Interceptor Developing a Filtering Flume Interceptor Writing Avro Objects with a Custom Flume Interceptor Managing Workflows with Apache Oozie The Need for Workflow Management What is Apache Oozie? Defining an Oozie Workflow Validation, Packaging, and Deployment Running and Tracking Workflows Using the CLI Hue UI for Oozie Processing Data Pipelines with Apache Crunch What is Apache Crunch? Understanding the Crunch Pipeline Comparing Crunch to Java MapReduce Working with Crunch Projects Reading and Writing Data in Crunch Data Collection API Functions Utility Classes in the Crunch API Working with Tables in Apache Hive What is Apache Hive? Accessing Hive Basic Query Syntax Creating and Populating Hive Tables How Hive Reads Data Using the RegexSerDe in Hive Developing User-Defined Functions What are User-Defined Functions? Implementing a User-Defined Function Deploying Custom Libraries in Hive Registering a User-Defined Function in Hive Executing Interactive Queries with Impala What is Impala? Comparing Hive to Impala Running Queries in Impala Support for User-Defined Functions Data and Metadata Management Understanding Cloudera Search What is Cloudera Search? Search Architecture Supported Document Formats Indexing Data with Cloudera Search Collection and Schema Management Morphlines Indexing Data in Batch Mode Indexing Data in Near Real Time Presenting Results to Users Solr Query Syntax Building a Search UI with Hue Accessing Impala through JDBC Powering a Custom Web Application with Impala and Search

Duration 3 Days 18 CPD hours This course is intended for Analyst End User Implementer Manager Overview Create a Work Breakdown Structure Define roles and resources Assign roles Assign resources Analyze resources Optimize the project plan Understand data structures Create a project Add activities View calendars Create relationships Schedule the project Assign constraints Create reports Format schedule data Execute the project Enrolling in this course will help you understand P6 Professional's basic features and functionality so you can apply them to your organization's project management processes. You'll also learn how to manage projects on time and within budget Understanding P6 Data Describing Enterprise and Project-Specific data Logging In Opening an Existing Project Opening and Customizing Layouts Enterprise Project Structure Describing Components of EPS Creating a Project Create a project Navigating in the Projects Window Viewing Project Details Creating a Work Breakdown Structure Defining a Work Breakdown Structure Creating the WBS Hierarchy Adding Activities Describing an Activity and its Components Describing Activity Types Adding Activities Adding a Notebook Topic Adding Steps to an Activity Assigning Activity Codes Creating Relationships Viewing a Network Logic Diagram Relationship Types Creating Relationships Scheduling Performing a Forward and Backward Pass Describing Float Assigning Constraints Applying an Overall Deadline to a Project Apply a Constraint to an Activity Using Reflection Projects Creating a Reflection Project Merging Changes Formatting Schedule Data Grouping Activities Sorting Filtering Roles and Resources Describing Roles and Resources Viewing Dictionaries Assigning Roles Assigning Roles to an Activity Assign Rates on Roles Assigning Resources Assigning Resources Adjusting Budgeted Units/Time Analyzing Resources Displaying the Resource Usage Profile Optimizing the Project Plan Analyzing Schedule Dates Shortening a Project Schedule Analyzing Resource Availability Baselining the Project Plan Creating a Baseline Plan Display Baseline Bars on the Gantt Chart Project Execution and Control Describing Methods for Updating the Schedule Using Progress Spotlight Statusing Activities Rescheduling the Project Reporting Performance Describing Reporting Methods Running a Schedule Report Creating a report with the Report Wizard Additional course details: Nexus Humans Primavera P6 Professional Fundamentals Rel 19 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 Primavera P6 Professional Fundamentals Rel 19 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 1 Days 6 CPD hours This course is intended for This course is intended for students who have a foundational working knowledge of PowerPoint, who wish to take advantage of the application's higher-level usability, security, collaboration, and distribution functionality. Overview In this course, you will use the advanced tools and features in PowerPoint to create and deliver engaging presentations.You will: Customize design templates. Add tables. Add charts. Work with media. Build advanced transitions and animations. Collaborate on a presentation. Customize the delivery of a presentation. Modify presentation navigation. Secure and distribute a presentation. Meetings, instruction, training, pitches; these are all a part of our daily lives. We are often called upon to deliver presentations with little notice, at multiple venues, and with varying requirements. And, some of these presentations include sensitive information that needs to be guarded. Given all the variables, it may seem an overwhelming task to deliver your content, on time, to all audiences, and to only those who need to see it. Oh, and by the way, you need to make it interesting, informative, and memorable. So, how do you do it? Without the help of a robust set of tools, it would be nearly impossible. But Microsoft© PowerPoint© provides you with a variety of such tools that can help you deliver content in nearly any situation, while saving time and effort. By taking advantage of these tools, you will be creating presentations that not only stand out from the crowd, but also don't consume all of your available time. Note: Most Office users perform the majority of their daily tasks using the desktop version of the Office software, so that is the focus of this training. The course material will also enable you to access and effectively utilize many web-based resources provided with your Microsoft 365? subscription. Helpful notes throughout the material alert you to cases where the online version of the application may function differently from the primary, desktop version. This course may be a useful component in your preparation for the PowerPoint Associate (Microsoft 365 Apps and Office 2019): Exam MO-300 certification exam. Lesson 1: Customizing Design Templates Topic A: Modify Slide Masters and Slide Layouts Topic B: Modify the Notes Master and the Handout Master Topic C: Add Headers and Footers Lesson 2: Adding Tables Topic A: Create a Table Topic B: Format a Table Topic C: Insert a Table from Other Office Applications Lesson 3: Adding Charts Topic A: Create a Chart Topic B: Format a Chart Topic C: Insert a Chart from Microsoft Excel Lesson 4: Working with Media Topic A: Add Audio to a Presentation Topic B: Add Video to a Presentation Topic C: Add a Screen Recording Lesson 5: Building Advanced Transitions and Animations Topic A: Use the Morph Transition Topic B: Customize Animations Lesson 6: Collaborating on a Presentation Topic A: Review a Presentation Topic B: Co-author a Presentation Lesson 7: Customizing Presentation Delivery Topic A: Enhance a Live Presentation Topic B: Record a Presentation Topic C: Set Up a Slide Show Lesson 8: Modifying Presentation Navigation Topic A: Divide a Presentation into Sections Topic B: Add Links Topic C: Create a Custom Slide Show Lesson 9: Securing and Distributing a Presentation Topic A: Secure a Presentation Topic B: Create a Video or a CD