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via Udemy |
Go to Course: https://www.udemy.com/course/qlikview-data-analysis/
Certainly! Here’s a comprehensive review and recommendation for the Coursera course on QlikView: --- **Course Title:** QlikView: Data Analysis on Coursera **Overview:** If you're a data analyst, executive, manager, or decision-maker who works daily with data and aims to make informed, data-driven decisions, the *QlikView: Data Analysis* course is an excellent choice. This course is designed to introduce you to QlikView, one of the most user-friendly and powerful Business Intelligence (BI) tools available today. **What Makes This Course Stand Out?** Unlike many BI courses, this program emphasizes simplicity and practicality. QlikView’s visual and interactive features allow users to take total control of their data, making complex analysis accessible without the need for extensive technical expertise. The course’s blended content—text, videos, code examples, and assessments—ensures an engaging and comprehensive learning experience. **Course Content & Learning Outcomes:** - **Introduction to QlikView:** Understand what QlikView is and how it differs from other BI tools. - **Data Application Building:** Learn to construct applications using QlikView's core components, following the D.A.R (Dashboard, Analysis, and Report) methodology. - **Advanced Features:** Gain skills in utilizing mapping tables, creating master calendars, and maximizing QlikView’s visualization capabilities. - **Real-world Problem Solving:** By the end of the course, you'll be equipped to tackle actual business challenges, making you proficient in data analysis and reporting. **Why Should You Enroll?** - **Expert Instructors:** The course is led by industry veterans B. Diane Blackwood and Chandraish Sinha, both with extensive experience in BI implementations across various sectors. - **Practical Focus:** The curriculum prioritizes hands-on, example-based learning over lengthy theoretical discussions, ensuring you can apply your skills immediately. - **Flexible & Modular:** The course content is structured into logical modules, allowing you to learn at your own pace and revisit complex topics as needed. - **Real-World Relevance:** The curriculum is shaped by years of practical experience, ensuring you learn what’s truly important for your career. **Is It Worth Your Time and Investment?** Absolutely. This course is tailored for learners who want actionable skills that directly translate into job performance. Whether you're aiming to enhance your current BI skills or start a new role as a data analyst, this course provides foundational and advanced insights into QlikView. **Final Recommendation:** If you’re looking for a practical, well-structured, and industry-relevant course on QlikView, this is highly recommended. It offers a blend of expert instruction, hands-on exercises, and real-world applications that will make you confident in using QlikView for data analysis tasks. --- Feel free to ask if you'd like a more summarized version or additional details!
Are you a data analyst, executive, manager, decision maker, or anyone who works with data and wants to make sense of this data in a simplistic yet powerful way? Then, you'd want to try QlikView. What differentiates QlikView from other Business Intelligence software is its simplicity and ease of use. It's easy to be in total control of data with it. You wouldn't want to miss out on trying this tool. QlikView: Data Analysis exists as a blend of text, videos, code examples, and assessments, which together makes your learning and creating journey all the more fun and worth the cost. This course introduces QlikView and demonstrates to you how to leverage the system to conduct and deliver data analysis on business data. You'll learn how to build an application that fulfils the D.A.R (Dashboard, Analysis, and Report) approach suggested by Qlik. Then, you'll be equipped to use mapping tables and create a master calendar. Moving from there, you'll find out how to get the most from QlikView's visualization features-vital if you are to use your data insights effectively.By the end of the course, you'll be ready to solve real-world challenges using QlikView. The goal of this course is to make you a skilled QlikView Data Analyst. This course is authored by some of the best in the fields. Why should I choose this course? We've spent the last decade working to help developers stay relevant. The structure of this course is a result of deep and intensive research into what real-world developers need to know in order to be job-ready. We don't spend too long on theory, and focus on practical results so that you can see for yourself how things work in action. This course follows an example-based approach that will take you through the most basic games toward the more complex ones, gradually building your skill level. It's a blend of text, videos, code examples, and assessments, which together makes your learning journey all the more exciting and truly rewarding. It includes sections that form a sequential flow of concepts covering a focused learning path presented in a modular manner. This helps you learn a range of topics at your own speed and also move towards your goal of learning Unity. We combine the best of the following Packt products: Learning QlikView® 12 by B. Diane BlackwoodQlikView Essentials by Chandraish Sinha Meet your expert instructors: B. Diane Blackwood B. Diane Blackwood has worked as a consultant implementing business intelligence and corporate performance management solutions since 2005. She has extensive experience in multiple industries (micro-electronics to heavy equipment manufacturing, medical, legal, and various retail industries) implementing BI and CPM solutions. Chandraish Sinha Chandraish Sinha is a Business Intelligence enthusiast from Ohio. He brings 17 years of experience in providing cost-effective BI solutions. He is responsible for many QlikView implementations in various industries, namely financial, insurance, pharmaceuticals, and event management. He currently holds QlikView Designer and QlikView Developer certifications.