Version Control Crash Course: Master Git & GitHub

Master the art of web scraping with our course "Web Scraping with ChatGPT: Data Extraction with Python". This course is meticulously crafted for individuals ranging from beginners to advanced programmers, focusing on leveraging the capabilities of ChatGPT for efficient web scraping.Begin with understanding the essentials of web scraping and discover why ChatGPT is a game-changer in this field. You will learn about ChatGPT's unique features that make it an ideal tool for data extraction tasks.Progress into practical aspects where you'll set up your own ChatGPT environment. Learn the steps involved in initializing your web scraping setup, including critical aspects like authentication and API access. This course ensures you're equipped to commence your first ChatGPT scraping operation with confidence.Dive deeper into the nuances of extracting data from various web sources. You'll tackle realistic scenarios and common challenges in web scraping, preparing you for diverse applications. The course includes hands-on projects like extracting news headlines, providing you with real-world experience.Crucial to the course is an emphasis on ethical web scraping practices and best practices. You'll learn to navigate the complexities of this field responsibly, avoiding common pitfalls, and acquiring tips for efficient and effective data extraction.As you approach the end of the course, troubleshooting skills and additional resources are introduced to refine your scraping strategies. You'll gain the knowledge to debug your scripts and extend your learning beyond the course.By the conclusion of "Web Scraping with ChatGPT: Data Extraction with Python", you'll be well-equipped with the skills and knowledge to utilize ChatGPT in web scraping, opening doors to numerous opportunities in the data-driven digital world. This course is not just a learning experience; it's an investment in your future in the rapidly evolving field of web data extraction.

Machine learning models are becoming more and more popular. But not every user is convinced in their utility and usability. How and when can we trust the models? If our model has rejected a loan applicant, can we explain to them why that is the case? What types of explanations about the model or its behavior can we provide? What does it even means to explain a model?We address these and other questions in this course on Machine learning or AI explainability (also called XAI in short). We will introduce theoretical approaches and build a hands-on understanding of various explainability techniques in Python.The course builds an overview of XAI approaches before going into details of different types of explanations: visual, explanations of the overall model behavior (so-called global), as well as of how the model reached its decision for every single prediction(so-called local explanations). We will apply each presented approach to a regression and/or classification task; and you will gain ever more practice with the techniques using the hands on assignments.By the end of the course, you should have an understanding of the current state-of-the-art XAI approaches, their benefits and pitfalls. You will also be able to use the tools learned here in your own use cases and projects.XAI is a rapidly developing research field with many open-ended questions. But one thing is certain: it is not going anywhere, the same way Machine learning and AI are here to stay.

MicroStrategy is a Business Intelligence software, which offers a wide range of data analytics capabilities. As a suite of applications, it offers Data Discovery, Advanced Analytics, Data Visualizations, Embedded BI, and Banded Reports and Statements. As a Business Intelligence tool with wide range of capabilities, MicroStrategy has powerful features that helps to find answers and insights in business data analysis.It can connect to data warehouses, relational systems, flat files, web services and a host of other types of sources to pull data for analysis. Features such as highly formatted reports, ad hoc query, thresholds and alerts, and automated report distribution makes MicroStrategy an industry leader in BI software space. It is recognized as a visionary by Gartner Magic Quadrant.Use Cases of MicrostrategyExecutive dashboardsSales and marketing analyticsFinancial reportingOperational performance trackingPredictive analyticsBefore proceeding with this course, you should have a basic understanding of Computer Programming terminologies and Data analysis. Familiarity with SQL will help in fast learning.This course is designed for all those learners who want to create, read, write, and modify Business Intelligence Reports and dashboards using MicroStrategy Desktop. In addition, it will also be quite useful for those learners who look forward to become a Data Analyst or a Data Scientist.

Key Concepts and Interview Questions for IBM BPM/BAW Platform. You will learn based on our 15 years of IBm BPM Experience. Covered are topics like Team Retrieval Services Exception Handling, UI Validations, Offline vs Online Process Server, Case Management, Arthitectural Patterns. Actual handls on demonstrations to see and understand the working of the concepts explained.

This ABSOLUTE BEGINNER'S GUIDE TO PYTHON course is created and designed for any student that wants to learn the foundation of python programming language. No prior knowledge is required. At the end of this course, the student will have a solid grasp and experiencing in writing python code. This course will give the student the opportunity to expand his or her knowledge to a more intermediate goal once completing this course. They will learn how to install python, write code in jupyter notebook editor and learn the building blocks of python from lists, tuples, functions, for loops, if else logical statements, pandas, libraries, modules, and much more.

There are many materials available that can help people with their Salesforce certification journey but I noticed that there aren't many resources that focus on the delivery of Salesforce projects. This course is designed to fill that gap. Salesforce projects are complex. They are a blend of human interaction and technology but they all deliver change in some way. But, projects can very easily fail if they are not managed carefully and I'm not just talking about time, resource and budget. There are so many other aspects to consider relating to project delivery.This course I have created is full of content that I have discovered, learnt and still use when I deliver Salesforce projects, since I first discovered the platform back in 2007. I've broken it down into 40 chapters and different phases: Defining the Need, Design, Implementation and Post Go Live.As each project is unique, I have aimed to give you a toolbox of approaches and methodologies for each stage of the journey.If you have anything to do with Salesforce, and the delivery of projects, then this course is for you. I guarantee, there is valuable content here for any member of a project team, irrespective of role. Are you ready to dive in?