Hands-on Practical Python for Data Wrangling & Transformation

This introductory and beyond level course is for technical users newer to Python who want to learn advanced data handling and transformation skills, using the latest tools and techniques. The course is approximately 50% hands-on to 50% lecture ratio, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Student machines are required.

Description

Overview

Python, renowned for its simplicity and robustness, has become an indispensable language in various fields, including data science, machine learning, and business analytics. Its extensive libraries for data manipulation and analysis make Python a go-to tool for individuals and organizations aiming to derive meaningful insights from data. Geared for technical users new to Python, Hands-On Practical Python for Data Wrangling & Transformation is a four-day, comprehensive hands-on course that will provide you with the hands-on practice and foundational skills needed to navigate Python programming and data wrangling effectively.

Throughout the course you will explore critical topics such as leveraging Python's built-in types, structuring and organizing code, manipulating file code, and deep-diving into data wrangling. You will also gain exposure to advanced topics, including SQL and RDBMS, and their integration with Python for efficient data handling and management. The focus remains firmly on delivering practical skills that can be directly applied in a professional setting.

The hands-on approach sets this course apart. A significant portion of the learning experience will be dedicated to practical lab exercises where you will apply Python, along with tools like NumPy, Pandas, Matplotlib, SQLite, and SQLAlchemy, to real-world data scenarios. These labs aim to simulate real job tasks, from data transformation to web scraping, preparing you to handle similar tasks in your current or future roles. The course also includes a few bonus, time-permitting chapters on applying Generative AI / AI / GPT to Python and Data Wrangling.

This course leverages an innovative Learning Experience Platform, promoting an interactive and collaborative learning environment, under the real-time live guidance of an industry expert. Upon course completion, you will have a strong foundation in Python programming and data wrangling, be capable of handling files and databases efficiently, and possess the skills to extract meaningful insights from complex datasets, directly benefiting your professional endeavors.

Course Objectives

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. After completing this course, students will be able to:

  • Master the essentials of Python programming: From basic syntax to complex functionalities, you'll develop the skills to create, test, and debug Python programs with ease.
  • Get comfortable with Python's built-in data types and structures: You'll understand how to effectively use lists, tuples, sets, and dictionaries in Python, providing the foundational building blocks for data manipulation and analysis.
  • Learn to structure and organize your code: We'll help you write clean, efficient, and well-organized Python code, a crucial skill for any programming role.
  • Grasp the art of data wrangling: By the end of the course, you'll be able to clean, transform, and enrich raw data to a form that's suitable for analysis – a skill in high demand in today's data-driven world.
  • Get hands-on experience with Python libraries: You'll learn to use popular Python libraries such as NumPy, Pandas, and Matplotlib, empowering you to perform complex data analysis and create stunning data visualizations.
  • Apply Python skills to real-world scenarios: Through our practical labs and capstone project, you'll get to apply your Python and data wrangling skills to real-world data scenarios. This experience will prepare you to tackle similar challenges in your professional life with confidence.

Who Should Attend

The ideal audience for this course are individuals in technical roles who have a basic understanding of data science and are looking to expand their skill set with Python programming and data wrangling. This may include data analysts, business intelligence professionals, junior data scientists, and IT professionals involved in data-focused roles. Additionally, researchers, academics, or other professionals seeking to streamline data analysis and management processes in their work might also find significant value in attending.

Course Outline

Lesson 1: Introduction to Python

  • Understand Python's significance and its application in modern enterprises
  • Python Basics and Syntax
  • Python Built-in Types
  • Variables, Lists, Dictionaries, and Tuples
  • Control Structures: If, For, While

Lab

  • Hands-on Python basics using Python, Jupyter Notebook

Lesson 2: Organizing and Structuring Code

  • Gain skills to write efficient and organized Python code
  • Writing Functions and Classes
  • Modules and Packages
  • Error Handling and Exceptions: Pythonic Coding Practices

Lab

  • Code organization and modularization

Lesson 3: Manipulating Files

  • Learn file handling in Python for reading and writing data
  • Reading and Writing Text Files
  • File Operations and Manipulation
  • Working with JSON and CSV Files
  • Directory Operations

Lab

  • File operations and data extraction

Lesson 4: Introduction to Data Wrangling with Python

  • Grasp the concept of Data Wrangling and its importance in Python
  • Introduction to Data Wrangling
  • Loading and Viewing Data
  • Data Cleaning Techniques
  • Data Transformation

Lab

  • Initial data wrangling exercises

Lesson 5: Deep Dive into NumPy, Pandas, and Matplotlib

  • Discover essential Python libraries for data analysis and visualization
  • Introduction to NumPy
  • Introduction to Pandas
  • Introduction to Matplotlib
  • Data Analysis and Visualization Using Above Libraries

Lab

  • Data manipulation and visualization tasks using Pandas, NumPy, Matplotlib

Lesson 6: Advanced Data Wrangling with Python

  • Gain advanced skills for wrangling data using Python
  • Merging and Joining DataFrames
  • Handling Missing Data
  • Date and Time Data
  • String Manipulations

Lab

  • Advanced data wrangling tasks using Python and Pandas

Lesson 7: Web Scraping and Data Gathering

  • Learn the techniques to extract data from the web
  • Introduction to Web Scraping Using BeautifulSoup
  • Regular Expressions in Python: APIs and JSON

Lab

  • Web scraping tasks

Lesson 8: Introduction to SQL and RDBMS

  • Understand SQL's role in data wrangling and Python's integration with it
  • SQL Basics
  • Python's sqlite3 module
  • SQL vs. NoSQL
  • Using SQLAlchemy with Python

Lab

  • Database interactions and data extraction tasks

Lesson 9: Real-world Data Wrangling

  • Apply learned skills to real-world data wrangling scenarios
  • Case Studies in Data Wrangling
  • Best Practices in Data Wrangling
  • Dealing with Large Datasets
  • Building a Data Wrangling Pipeline

Lab

  • Real-world data wrangling task

Lesson 10: Next Steps in Python and Data Wrangling

  • Overview of Advanced Python Topics
  • Overview of Machine Learning with Python
  • Overview of Big Data Tools (e.g., Spark)

Lab

  • Exploring Machine Learning and Big Data Tools: Use Scikitlearn to create a basic Machine
  • Learning model and then apply PySpark to handle a small simulated Big Data task

Lesson 11: Capstone Projects / Optional

Lab Projects

  • Hands-on Real-world Data Wrangling Project – Apply the skills learned throughout the course in a practical project.
    • Project 1: Building a Data Pipeline – Extract, transform, and load data from multiple sources
    • Project 2: Web Scraping and Data Analysis - Extract data from the web and perform analysis

Addendum: Post-Training Skills Development

  • Continued Learning Resources
  • Suggestions for Practical Applications of Skills Learned
  • Recommended Python and Data Science Communities and Forums
  • Additional Tools for Data Science (e.g., Scikit-Learn, TensorFlow, PyTorch, etc.)
  • Contributing to Open-Source Projects

Bonus Chapters: (Optional / Time Permitting)

Lesson 12: Generative AI for Python Programming and Data Wrangling

  • Understand the role of AI in code generation and its applications in Python and Data Wrangling
  • Introduction to Generative AI
  • Overview of GPT Technology
  • GPT Applications in Python Programming and Data Wrangling
  • Using AI for Code Completion, Error Detection, and Data Analysis

Lab

  • Exploring AI-assisted Python programming and data wrangling with GPT technology

Lesson 13: Advanced Python Skills Using AI Technologies

  • Enhance Python skills and productivity using AI-powered tools
  • Overview of AI Tools for Python
  • AI for Automated Testing and Debugging
  • Using AI for Code Optimization
  • Machine Learning-based Predictive Analytics with Python

Lab

  • Apply AI tools to improve Python programming and perform predictive analytics

Prerequisites

In order to be successful in the course you should have:

  • Basic understanding of any programming language: Familiarity with concepts like variables, loops, and functions would be beneficial, even if not in Python.
  • Fundamental knowledge of Data Science: A general understanding of what data science is and why it's valuable would help provide context for the Python and data wrangling skills taught in this course.
  • Comfort with basic Mathematical Concepts: As Python is heavily used in data analysis, a comfort level with basic math and statistics would be beneficial, though advanced mathematical skills are not necessary.

Similar courses

Using Data Analysis Expressions to solve common business problems in Power BI

More Information

Analyze business data, visualize insights, and share those insights across the enterprise

More Information

In this course, you will perform advanced data visualization and data blending with Tableau.

More Information

The Microsoft Power Platform helps organizations optimize their operations by simplifying, automating and transforming business tasks and processes.

More Information

In this course, you will implement and administer networks by using Cisco solutions.

More Information

CompTIA A+ is the industry standard for launching IT careers into today’s digital world. CompTIA A+ Core 1 (Exam 220-1101) covers mobile devices, networking technology, hardware, virtualization, cloud computing and network troubleshooting.

More Information

This course is designed to create PL/SQL blocks both anonymous and named. This course will cover PL/SQL objects and data types. It will also cover packages and how to debug and improve performance within PL/SQL. It will address deploying PL/SQL objects and using Oracle pre-define packages, procedures, and functions.

More Information

In this course, you will understand and use Agile core terms, explain key Agile concepts and their importance in achieving agility, identify, engage, and leverage key stakeholders in an Agile environment, apply common Agile tools and techniques, embrace and advocate for an Agile mindset to benefit from an Agile approach, select the best practices for a project and apply them appropriately to benefit the project and organization.

More Information

This course introduces tools and tactics to manage cybersecurity risks, identify various types of common threats, evaluate the organization's security, collect and analyze cybersecurity intelligence, and handle incidents as they occur.

More Information

Students who attend this course will leave armed with new skills to leverage modules, scale applications into multi-core environments, and improve the performance of Java 9 applications. This course will teach students everything they need to successfully master and implement the latest features and benefits of Java 9 and become a more effective Java 9 developer.

More Information

In this course you will, explain core programming fundamentals such as computer storage and processing, create and use variables and constants in programs, discuss how to create and use functions in a program, use decisions structures in a computer program, create and use repetition (loops) in a computer program, explain pseudocode and its role in programming, implement object-oriented programming concepts, and identify application errors and explain how to debug an application and handle errors.

More Information

R is a functional programming environment for business analysts and data scientists. It's a language that many non-programmers can easily work with, naturally extending a skill set that is common to high-end Excel users. It's the perfect tool for when the analyst has a statistical, numerical, or probabilities-based problem based on real data and they've pushed Excel past its limits.

More Information

In this course, you will create single page web applications using the MVC pattern of AngularJS, understand the programming model provided by the AngularJS framework, define Angular controllers and directives, and control Angular data bindings.

More Information

In this course, you will develop single page Angular applications using Typescript, set up a complete Angular development environment, create components, directives, services, pipes, forms and custom validators, handle advanced network data retrieval tasks using observables, consume data from REST web services using the Angular HTTP Client, handle push-data connections using the WebSockets protocol, work with Angular Pipes to format data, and use advanced Angular Component Router features.

More Information

This course is designed for people who want to learn the Python programming language in preparation for using Python to develop software for a wide range of applications, such as data science, machine learning, artificial intelligence, and web development.

More Information

This course teaches concepts by deep-dive on-hand exercises. Throughout the course, you will learn data wrangling with hands-on exercises and activities. You’ll find checklists, best practices, and critical points mentioned throughout the lessons, making things more interesting.

More Information

In this course, you will apply recommended practices for effective and efficient automation with Ansible, perform automation operations as rolling updates, use advanced features of Red Hat Ansible Automation Platform to work with data, including filters and plugins, create automation execution environments to contain and scale Red Hat Ansible Automation, and leverage capabilities of the automation content navigator to develop Ansible Playbooks.

More Information

In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service.

More Information

In this course, you will learn new concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS.

More Information

In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures.

More Information

In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service.

More Information

This course is designed to teach those in a systems administrator or Development Operations (DevOps) role how to create automatable and repeatable deployments of networks and systems on the AWS platform. The course covers the specific AWS features and tools related to configuration and deployment, in addition to best practices for configuring and deploying systems.

More Information

In this course, you will learn the most common DevOps patterns to develop, deploy, and maintain applications on the AWS platform. We will explore the core principles of the DevOps methodology and examine a number of use cases applicable to startup, small- to medium-sized business, and enterprise development scenarios.

More Information

In this course you will describe key database concepts in the context of SQL Server, characterize database languages used in SQL Server, describe data modeling techniques, discuss normalization and denormalization techniques, distinguish relationship types and effects in database design, describe the effects of database design on performance, and define commonly used database objects.

More Information

In this course, you will create single table SELECT queries, create multiple table SELECT queries, insert, update, and delete data, query data using built-in functions, create queries that aggregate data, create subqueries, create queries that use table expressions, use UNION, INTERSECT, and EXCEPT on multiple sets of data, implement window functions in queries, use PIVOT and GROUPING SETS in queries, use stored procedures in queries, add error handling to queries, and use transactions in queries.

More Information

In this course you will, create sophisticated SSIS packages for extracting, transforming, and loading data, use containers to efficiently control repetitive tasks and transactions, configure packages to dynamically adapt to environment changes, use Data Quality Services to cleanse data, successfully troubleshoot packages, create and manage the SSIS Catalog, deploy, configure, and schedule packages, secure the SSIS Catalog.

More Information

In this course, you will expand your Python proficiencies, select an object-oriented programming approach for Python applications, create object-oriented Python applications, create a desktop application, create data-driven applications, create and secure web service-connected applications, program Python for data science, implement unit testing and exception handling, and package an application for distribution.

More Information

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.

More Information

In this course you will authenticate and authorize users, assign server and database roles, authorize users to access resources, use encryption and auditing features to protect data, describe recovery models and backup strategies, backup and restore SQL Server databases, automate database management, configure security for the SQL Server agent, manage alerts and notifications, managing SQL Server using PowerShell, trace access to SQL Server, monitor a SQL Server infrastructure, and import and export data.

More Information

In this course, you will develop web content in HTML, enhance its formatting and layout using CSS, and add interactivity using JavaScript.

More Information

In this course, you will learn how to leverage AWS data Services to store, process, analyze, stream, and query data to make decisions with speed and agility at scale, how to modernize data solutions end to end, and obtain skills to put your data to work to make better, more informed decisions, respond faster to the unexpected, and uncover new opportunities.

More Information

In this course, you will practice and deploy serverless solutions on AWS.

More Information

In this course, you will learn to accelerate the process to prepare, build, train, deploy, and monitor ML solutions using Amazon SageMaker Studio.

More Information

The creation of data-backed visualizations is a key way data scientists, or any professional, can explore, analyze, and report insights and trends from data. Tableau® software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports.

More Information

This course will build on existing knowledge from the CompTIA A+ 1101 course. This course will provide fundamental level skills and theoretical concepts to prepare you for real-world experiences on the job as a technician. CompTIA A+ is the industry standard for launching IT careers into today’s digital world. CompTIA A+ Core 2 (Exam 220-1102) covers installing and configuring operating systems, expanded security, software troubleshooting and operational procedures.

More Information

This course teaches Azure Solution Architects how to design infrastructure solutions. Course topics cover governance, compute, application architecture, storage, data integration, authentication, networks, business continuity, and migrations. The course combines lecture with case studies to demonstrate basic architect design principles.

More Information

CompTIA Cloud+ is a global certification that validates the skills needed to deploy and automate secure cloud environments that support the high availability of business systems and data. It is ideal for cloud engineers who need to have expertise across multiple products and systems. CompTIA Cloud+ is the only cloud focused certification approved for DoD 8570.01-M, offering an infrastructure option for individuals who need to certify in IAM Level I, CSSP Analyst and CSSP Infrastructure Support roles.

More Information

This course provides students with the knowledge and skills to administer a SQL Server database infrastructure for cloud, on-premises and hybrid relational databases and who work with the Microsoft PaaS relational database offerings. Additionally, it will be of use to individuals who develop applications that deliver content from SQL-based relational databases.

More Information

In this 5-day course, you will learn day-to-day management tasks, including how to manage applications, client health, hardware and software inventory, operating system deployment, and software updates by using Configuration Manager. You also will learn how to optimize Endpoint Protection, manage compliance, and create management queries and reports. Although this course and the associated labs are written for Windows Server 2022, the skills taught will also be backwards compatible for Server 2016 and 2019.

More Information

In this course, you will develop and deploy VBA modules to solve business problems.

More Information

CompTIA Security+ is a global certification that validates the foundational cybersecurity skills necessary to perform core security functions and pursue an IT security career. It establishes the core knowledge required of any cybersecurity role and provides a springboard to intermediate-level cybersecurity jobs. CompTIA Security+ is compliant with ISO 17024 standards and approved by the U.S. DoD to meet Directive 8140.03M requirements.

More Information

Gain fundamental knowledge and skills to use PowerShell for administering and automating administration of Windows servers.

More Information

Learn how to make SharePoint online relevant to your team by using a sites functionality to help you share information and collaborate with your colleagues.

More Information

If you are someone with existing SQL or SQL Server knowledge (or someone highly versed in different data repositories), this is the Power BI course for you. This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI.

More Information

This course provides detailed information on the architecture of an Oracle Database instance and database, enabling you to manage your database resources effectively. You learn how to create database storage structures appropriate for the business applications supported by your database. In addition, you learn how to create users and administer database security to meet your business requirements. This course provides basic information on backup and recovery techniques.

More Information

CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making that gives learners the confidence to bring data analysis to life.

More Information

In this course, you will compose SQL queries to retrieve desired information from a database.

More Information

In this course, you will work with advanced queries to manipulate and index tables. You will also create transactions so that you can choose to save or cancel the data entry process.

More Information

This 2-day entry-level course examines the services and features of Microsoft SQL 2022. (This is NOT a SQL querying course, SQL Querying syntax will not be discussed). The content focuses on database tables, adding and changing data, creating and using stored procedures, entity relationships, and indexes.

More Information

Doing data analysis work is about more than learning a software program (Excel, Power BI, Tableau, etc.) - you need to understand the concepts and theory too. This one day course gets you up to speed (and can be useful either before or after your software classes).

More Information

In this course, you will use various Python tools to load, analyze, manipulate, and visualize business data.

More Information

ITIL 4 is the next evolution of ITIL, providing a practical and flexible transition that allows organizations to adopt the new ways of working required by the modern digital world. It provides an end-to-end IT/digital operating model for the delivery and operation of tech-enabled products and services and enables IT teams to continue to play a crucial role in wider business strategy.

More Information

In this course, students will create complex reports & data sources using the tools in Crystal Reports 2020. Students will not only create more complex reports including sub-reports and cross-tabs, but will also increase their speed and efficiency.

More Information

In this course, students will create a basic report by connecting to a database and modifying the report's presentation.

More Information

This five-day instructor-led course teaches IT professionals the fundamental administration skills required to deploy and support Windows Server in most organizations. It is designed primarily for IT professionals who have some experience with Windows Server and will be responsible for managing identity, networking, storage and compute by using Windows Server, and who need to understand the scenarios, requirements, and options that are available and applicable to Windows Server.

More Information

This four-day course is intended for Windows Server Hybrid Administrators who have experience working with Windows Server and want to extend the capabilities of their on-premises environments by combining on-premises and hybrid technologies. Windows Server Hybrid Administrators implement and manage on-premises and hybrid solutions such as identity, management, compute, networking, and storage in a Windows Server hybrid environment.

More Information

Our Exam Cram sessions are intensive, focused review sessions designed to help your team master key concepts and pass their CompTIA certification exams with confidence. Led by expert instructors, these sessions provide in-depth, targeted hands-on practice to ensure your team is fully prepared for exam day. CompTIA A+ Core 1 covers mobile devices, networking technology, hardware, virtualization and cloud computing and network troubleshooting. This exam cram session is included with the A+ Core 1 course.

More Information

Our Exam Cram sessions are intensive, focused review sessions designed to help your team master key concepts and pass their CompTIA certification exams with confidence. Led by expert instructors, these sessions provide in-depth, targeted hands-on practice to ensure your team is fully prepared for exam day. CompTIA A+ Core 2 covers installing and configuring operating systems, expanded security, software troubleshooting and operational procedures. This exam cram session is included with the A+ Core 2 course.

More Information

CompTIA Network+ certification exam covers the latest trends in networking and validates the core skills necessary to establish, maintain, troubleshoot and secure networks in any environment, preparing learners for a rewarding career in networking and cybersecurity. Students gain a wide range of technical and hands-on skills required of today’s early-career network administrators. Network+ is Approved for DoD 8140.03.

More Information

Our Exam Cram sessions are intensive, focused review sessions designed to help your team master key concepts and pass their CompTIA certification exams with confidence. Led by expert instructors, these sessions provide in-depth, targeted hands-on practice to ensure your team is fully prepared for exam day. Network+ exam covers the core skills necessary to establish, maintain, troubleshoot and secure networks regardless of technology or platform. This exam cram session is included with the Network+ course.

More Information

Our Exam Cram sessions are intensive, focused review sessions designed to help your team master key concepts and pass their CompTIA certification exams with confidence. Led by expert instructors, these sessions provide in-depth, targeted hands-on practice to ensure your team is fully prepared for exam day. Security+ covers the most in-demand skills related to current threats, automation, zero trust, IoT, risk – and more. This exam cram session is included with the Security+ course.

More Information

Our Exam Cram sessions are intensive, focused review sessions designed to help your team master key concepts and pass their CompTIA certification exams with confidence. Led by expert instructors, these sessions provide in-depth, targeted hands-on practice to ensure your team is fully prepared for exam day. Cloud+ covers the expertise needed to deploy and automate secure cloud environments and protect mission-critical applications and data. This exam cram session is included with the Cloud+ course.

More Information

Our Exam Cram sessions are intensive, focused review sessions designed to help your team master key concepts and pass their CompTIA certification exams with confidence. Led by expert instructors, these sessions provide in-depth, targeted hands-on practice to ensure your team is fully prepared for exam day. Cloud+ covers mining and manipulating data, applying basic statistical methods, and analyzing complex datasets. This exam cram session is included with the Data+ course.

More Information

This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data management tools such as Microsoft® Excel® or SQL Server® reporting services to perform numerical or general data analysis. This course is also designed for professionals who want to pursue the Microsoft Power BI Data Analyst (Exam PL-300) certification.

More Information

This five-day course teaches you advanced skills for configuring and maintaining a highly available and scalable virtual infrastructure. Through a mix of lecture and hands-on labs, you configure and optimize the VMware vSphere 8 features that build a foundation for a truly scalable infrastructure. You also discuss when and where these features have the greatest effect. Attend this course to deepen your understanding of vSphere and learn how its advanced features and controls can benefit your organization.

More Information

Administering Cisco Unified Communications Manager (ACUCM with AUC) is a 5-day training program that provides system administrators and networking professionals with an understanding of the Cisco Unified Communications Manager System. This course teaches the concepts of IP telephony based in system administration, including its function, features, and configuration. This UC training course focuses on Cisco Unified Communications Manager (CUCM) v12x. All labs are using CUCM v12x.

More Information

In this course, you will develop your understanding about agile business analysis and the role of the business analyst on an agile team. You will learn how business analysis on an agile project is ‘the same’ and ‘different’ than business analysis performed on waterfall projects. You will understand how the business analysis role changes on an agile team.

More Information

This 2-day virtual workshop puts the distributed agile team members through their paces, by showing them how to conduct the five (5) scrum ceremonies, while simulating key activities within a sprint, all while working remotely and using their own project (for private classes) as a case study for the exercises.

More Information

This course shows you the fundamentals of building IT infrastructure on the AWS platform. You learn how to optimize the AWS Cloud by understanding AWS services and how they fit into cloud-based solutions. You explore best practices and design patterns to help you architect optimal IT solutions on AWS, then build and explore a variety of infrastructures through guided, hands-on activity. You learn how to create fledgling architectures and build them into robust and adaptive solutions.

More Information

This fundamental-level, full-day course is intended for individuals who seek an overall understanding of the AWS Cloud, independent of specific technical roles. It provides a detailed overview of cloud concepts, AWS services, security, architecture, pricing, and support. It includes lab exercises reinforcing some of the core concepts of the lecture. This course also helps you prepare for the AWS Certified Cloud Practitioner exam.

More Information

In this course, you will learn how to use the AWS SDK for developing secure and scalable cloud applications. The course provides in-depth knowledge about how to interact with AWS using code and covers key concepts, best practices, and troubleshooting tips.

More Information

During this 5-day course, students will learn Transact-SQL as implemented in SQL Server 2008, 2012 and 2014. The course starts by establishing a foundation understanding of database concepts and terminology. Students are then prepared to use various Microsoft tools to submit queries and view the result.

More Information

The Implementing and Operating Cisco Enterprise Network Core Technologies (ENCOR) v1.3 training gives you the knowledge and skills needed to install, configure, operate, and troubleshoot an enterprise network and introduces you to overlay network design by using SD-Access and SD-WAN solutions. This course also prepares you for the 350-401 Implementing Cisco Enterprise Network Core Technologies (ENCOR) exam.

More Information

Explore Oracle 19c DB Architecture, DBCS Deployments, Managing Database Security, Backup and Recovery, Monitoring and more.

More Information

Explore Next-Level DBA Skills: Backup & Recovery, Working with Grid Infrastructure, Upgrading Oracle and more.

More Information

This class uses the standard VMware vSphere class outline as a base but adds additional focus on vSphere troubleshooting - giving students a more practical learning experience compared with the standard course introductory vSphere class.

More Information

This course is a continuation of AZ-040T00: Automating Administration with PowerShell, taking a deep dive into the development of PowerShell cmdlets and modules and features both hands on labs and challenging exercises to help you practice the skills presented in class. Time will be spent on the theory of how to design cmdlets as well as the proper structure of the programming code to facility cmdlets that work with the PowerShell piping in keeping with community standards.

More Information

This is a 5-day course is designed to provide you with the knowledge and skills required to support and troubleshoot Windows 11 PCs and devices in an on-premises Windows Server Active Directory domain environment.

More Information

In this course, students will continue their learning on the foundations of report writing with Microsoft® SQL Server® Report Builder and SSRS.

More Information

AWS Technical Essentials introduces you to AWS products, services, and common solutions. It provides you with fundamentals to become more proficient in identifying AWS services so that you can make informed decisions about IT solutions based on your business requirements and get started working on AWS.

More Information

In this course, you will learn to build streaming data analytics solutions using AWS services, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK).

More Information

This course is intended for power users and IT professionals who are tasked with working within the SharePoint 2016 environment and conduct site collection and site administration. This course is for an on-premise SharePoint environment.

More Information

The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage.

More Information