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via Udemy |
Go to Course: https://www.udemy.com/course/qlikview-for-beginner-dashboard-design-master-class/
Certainly! Here's a detailed review and recommendation for the Coursera course based on the provided information: --- **Course Review and Recommendation: Data Analytics and Visualization on Coursera** In today’s data-driven world, understanding how to harness data effectively is vital for boosting career prospects and making informed decisions. This comprehensive course on Coursera offers a valuable journey through essential data analytics tools and techniques, making it ideal for beginners and professionals alike who want to develop their skills in data management, business intelligence, and predictive analytics. **Course Content and Highlights** The course is structured into five key modules, each focusing on a different aspect of data analysis and visualization: 1. **Database Fundamentals: PostgreSQL for Beginners** Unlike traditional database courses, this module emphasizes practical skills such as installing PostgreSQL, creating/modifying tables, and executing fundamental SQL commands. This foundation is crucial for managing relational data efficiently. 2. **Business Intelligence: PowerBI MasterClass** PowerBI is a powerful BI tool used globally. This section covers transforming data, creating custom and conditional columns, and deriving insights using DAX expressions. These skills are essential for turning raw data into visually compelling reports. 3. **Dashboard Design: QlikView MasterClass** Practical, hands-on training on building dashboards for HR, sales, and restaurant management. This module is particularly valuable for learners who want to develop interactive dashboards tailored to real-world scenarios. 4. **Introduction to Qlik Sense for Beginners** The focus here is on using Qlik Sense to replace manual report analysis, automate decision-making, and visualize data efficiently—an ideal skill for anyone aiming to make organizational data more accessible. 5. **Advanced Analytics: Python for Beginners** The Python module equips students with fundamental programming skills, including functions, data structures, and data types. Python is integral for advanced data analysis and machine learning, making this a vital skill for aspiring data scientists. **Strengths of the Course** - **Practical and Applicable:** The course emphasizes hands-on experience with popular tools (PostgreSQL, PowerBI, QlikView, Qlik Sense, Python) that are industry standards. - **Comprehensive Coverage:** From database management to data visualization and basic programming, the course caters to a broad range of analytical skills. - **Career Development:** The course content is aligned with current industry demand for data analytics proficiency, making it highly valuable for career advancement. **Recommendations** This course is highly recommended for individuals looking to enter or advance in the field of data analytics, business intelligence, or data-driven decision making. Beginners will find the structured approach accessible, while those with some background can deepen their understanding of essential tools. To maximize benefits, learners should dedicate time to both theory and practice, experimenting with the tools and developing real-world projects. Combining these skills can significantly enhance your ability to interpret complex data, automate processes, and generate actionable insights. **Final Verdict** Overall, this Coursera course offers a well-rounded introduction to essential data analytics tools and techniques. Its practical focus and industry relevance make it an excellent investment for anyone eager to develop their data literacy and analytical skills. --- Feel free to ask if you'd like a shorter summary or additional insights!
Today, we are all surrounded with full of data.Data can be in the form of structured data(eg: Tables, and worksheets), or unstructured data (free text fields or comments from social media). An example of Data Usage is in AI model.Data are the core of an AI model, which utilizes data input for the model to train, test, and learn from the data.The usage of Machine Learning has allowed computers to perform predictions and provides suggestions to humans based on the data input that has been fed into the machine.An example of Machine Learning is the Web Search Engine, which tries to understand what is the content we are searching for based on the data input that has been entered into the Search Engine.This course offers everyone an abundance of information about analytical tools that may help you in developing your career moving forward.Content in this course is as below:Database1. PostgreSQL For BeginnersLearning Outcomes:~How to install and configure PostgreSQL.~How to create and modify tables in PostgreSQL.~How to perform basic SQL commands in PostgreSQL.BI (Business Intelligence)2. PowerBI MasterClassLearning Outcomes:~How to transform our columns to extract values or change column formatting~How to add new columns, eg: Custom columns, conditional columns, index columns, etc.~DAX expressions3. QlikView Dashboard Design MasterClassLearning Outcomes:How to build a simple dashboard:~ HR Dashboard~Opening a Fast Food Restaurant~Sales Dashboard4. Qlik Sense for BeginnersImagine if we are recently appointed to be a director of an organization, are we able to: 1. React based on the latest or historical information around us? 2. Reduce or automate the manual work done in decades?3. Draw insights from a stack of printed reports?If you do not have the answer, join this class to know more about Qlik Sense which can help solve your problems.Advanced Analytics5. Python for BeginnersLearning Outcomes:1. Python Function and Class Objects.2. Data Types - String and Numeric.3. Python Data Structure - List and Data Dictionary.