Data Ingestion, Exploration & Visualization in Qlik Sense from Coursera

This course is an intermediate-level course designed for learners who want to continue their data visualization journey with Qlik Sense, a powerful sophisticated Business Intelligence tool. Data preparation and ingestion is a key prerequisite for data visualization, and this course not only dives deep into that concept, but other important intermediate topics such as filters, expressions, and personalization.

The second of a series of three courses on Qlik Sense emphasizes the significance of moving beyond basic chart creation. In today's data-driven landscape, businesses and professionals require more than simple visualizations to gain a competitive edge. They need to develop a system of highly customized and tailored dashboards that precisely align with their unique data needs. These dashboards serve as powerful tools for effective decision-making and data-driven insights. For example, marketing teams can benefit from dashboards that provide real-time metrics on campaign performance, audience engagement, and conversion rates.

This course provides a comprehensive understanding of data visualization with Qlik Sense. It begins with data ingestion and visualization, including how to load data from various sources, how to clean data, and how to build data models. The course then goes through how to create sophisticated charts and dashboards, with intermediate concepts like filters and expression. Finally, the course demonstrates how to apply personalization to tailor the functionality and look of the dashboard.

This course is tailored for those looking to advance their data visualization skills with Qlik Sense. It's ideal for data analysts seeking to craft compelling narratives or arguments through data, as well as individuals aiming to effortlessly transform datasets into actionable graphs using Qlik Sense.

To excel in this course, intermediate-level learners should have the following prerequisites: a basic grasp of Qlik Sense, familiarity with simple Excel functions or similar spreadsheet software, a foundational understanding of data statistics (e.g., mean, sum, etc.), and an enthusiastic, proactive learning approach.

What's inside

Syllabus

Data Ingestion, Exploration, and Visualization with Qlik Sense

This course is an intermediate level course designed for learners who want to continue their data visualization journey with Qlik Sense, a powerful sophisticated Business Intelligence tool. Data preparation and ingestion is a key perquisite for data visualization, and this course not only dives deep into that concept, but other important intermediate topics such as filters, expressions, and personalization.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops intermediate data visualization skills, such as applying filters and expressions to create more sophisticated charts and dashboards in Qlik Sense

Suitable for data analysts and professionals who want to enhance their data visualization capabilities

Provides hands-on experience in data ingestion and data preparation, which are fundamental to effective data visualization

Taught by experienced instructor Henry Habib, who brings valuable insights and domain knowledge to the course

Emphasizes personalization, allowing learners to tailor dashboards to their specific needs and preferences

Requires learners to have a basic understanding of Qlik Sense, simple Excel functions, and data statistics to fully benefit from the course

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Ingestion, Exploration & Visualization in Qlik Sense with these activities:

Review Basic Qlik Sense Concepts

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Revisit the foundational concepts of Qlik Sense to solidify your understanding before diving into intermediate topics.

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Review official documentation or online resources on Qlik Sense basics.
Go through examples and exercises to reinforce your knowledge.

Repeat Data Preparation Best Practices

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Review the best practices for data preparation, which is essential for accurate data visualization.

Browse courses on Data Preparation

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Read the course syllabus and identify topics related to data preparation.
Review online tutorials and articles on data preparation.
Practice data preparation techniques using a sample dataset.

Compile a Resource Library for Qlik Sense

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Curate a collection of valuable resources to supplement your learning journey with Qlik Sense.

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Gather articles, tutorials, videos, and webinars related to Qlik Sense.
Organize resources by topic and skill level.
Share the resource library with peers or in an online forum.

Four other activities

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Data Manipulation Exercises

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Sharpen your data manipulation skills in Qlik Sense to ensure data accuracy and consistency.

Browse courses on Data Preparation

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Load and clean datasets with varying levels of complexity.
Apply transformations, such as renaming fields, splitting columns, and aggregating data.
Validate data integrity and resolve any inconsistencies.

Practice Building Charts with Qlik Sense

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Build your proficiency in constructing charts with Qlik Sense to effectively convey data insights.

Browse courses on Chart Creation

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Load sample datasets into Qlik Sense.
Create a variety of charts, including bar charts, line charts, and scatter plots.
Experiment with different chart settings and visualizations to optimize data presentation.

Build a Personalized Dashboard for a Specific Business Scenario

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Apply your filter and personalization skills to create an interactive dashboard tailored to specific business needs, fostering data-driven decision-making.

Browse courses on Dashboard Creation

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Identify a business scenario and define the data requirements.
Design and build a dashboard with relevant charts and visualizations.
Apply filters and expressions to customize the dashboard for specific user roles.
Present the dashboard to stakeholders and gather feedback for improvement.

Create a Data Visualization Dashboard for a Real-World Business Problem

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Apply your acquired knowledge to solve a real-life business problem by creating a comprehensive data visualization dashboard.

Browse courses on Project-Based Learning

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Identify a specific business problem or opportunity.
Gather and analyze relevant data.
Design and develop a data visualization dashboard to communicate insights.
Present the dashboard to stakeholders and receive feedback.

Career center

Learners who complete Data Ingestion, Exploration & Visualization in Qlik Sense will develop knowledge and skills that may be useful to these careers:

Data Visualization Analyst

Data Visualization Analysts specialize in presenting complex data in a clear and concise manner through visual representations, such as charts, graphs, and dashboards. They use their skills in data visualization tools, such as Qlik Sense, to help stakeholders understand and communicate data insights. This course can help you develop the necessary skills to become a Data Visualization Analyst, providing a comprehensive understanding of data visualization techniques and Qlik Sense.

See salaries and explore the career path for Data Visualization Analyst

Data Analyst

Data Analysts transform raw data into usable information to drive business decisions and strategies. They use their skills in data visualization, statistics, and programming to analyze patterns, trends, and anomalies in data. This course can help you develop a foundation in data ingestion, exploration, and visualization with Qlik Sense, providing skills that are in high demand in the field of data analytics.

See salaries and explore the career path for Data Analyst

Business Intelligence Analyst

Business Intelligence Analysts use data analysis and data visualization techniques to provide insights into business operations. They collaborate with stakeholders to identify key performance indicators (KPIs), develop data models, and create dashboards and reports to support decision-making. This course can help you develop the skills necessary to become a Business Intelligence Analyst, providing a solid foundation in data ingestion, exploration, and visualization.

See salaries and explore the career path for Business Intelligence Analyst

Financial Analyst

Financial Analysts use data analysis and visualization techniques to evaluate financial performance, make investment recommendations, and manage risk. This course can help you develop the skills necessary to become a Financial Analyst, providing a foundation in data ingestion, exploration, and visualization.

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Data Engineer

Data Engineers are responsible for designing, building, and maintaining data pipelines and infrastructure. They work with data from various sources, including structured and unstructured data, to ensure data quality and accessibility. This course can provide you with a foundation in data ingestion and data modeling, which are essential skills for Data Engineers.

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User Experience (UX) Researcher

UX Researchers conduct research to understand user needs, motivations, and behaviors. They use data visualization techniques to present their findings and recommendations to design teams, helping to improve the user experience of digital products and services.

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Data Scientist

Data Scientists use their skills in statistics, machine learning, and data visualization to extract insights from data. They develop and deploy predictive models and algorithms to solve complex business problems. This course can help you build a foundation in data visualization and data exploration, which are important skills for Data Scientists.

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Healthcare Analyst

Healthcare Analysts use data analysis and visualization techniques to improve healthcare delivery and outcomes. They collaborate with healthcare providers to identify trends, develop data-driven solutions, and support decision-making.

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Market Researcher

Market Researchers gather and analyze data to understand consumer behavior, market trends, and customer satisfaction. They use data visualization techniques to present their findings to stakeholders and support strategic decision-making.

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Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to solve complex business problems and improve efficiency. They use data visualization techniques to communicate their findings and recommendations to stakeholders.

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Product Manager

Product Managers are responsible for the development and launch of new products and features. They work with cross-functional teams to gather requirements, conduct market research, and develop product roadmaps. This course can provide you with the skills necessary to become a Product Manager, providing a foundation in data visualization and data exploration.

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Marketing Manager

Marketing Managers develop and execute marketing campaigns to promote products and services. They use data analysis and visualization techniques to measure the effectiveness of their campaigns and make data-driven decisions.

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Management Consultant

Management Consultants help organizations improve their performance by analyzing their business processes, identifying areas for improvement, and developing and implementing solutions. They use data analysis and visualization techniques to support their recommendations.

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Supply Chain Manager

Supply Chain Managers oversee the flow of goods and services from suppliers to customers. They use data analysis and visualization techniques to optimize inventory levels, reduce costs, and improve customer service.

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Sales Manager

Sales Managers lead and motivate sales teams to achieve revenue targets. They use data analysis and visualization techniques to track sales performance, identify opportunities, and develop sales strategies.

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