362 Data Visualization courses

Dashboards will summarize and present the key indications of large data in an attractive visual display, hightlighting the most important trends so the most imporatnf aspects of data could could be seen in a snap second by glancing at attractive, colourful charts. PowerPivot helps analyze the data and brings new capabilities to business users to analyse, explore and gain new insight into business and marketing data. Power Pivot help analyze and understand the growing quantities of data that are created on a daily basis.

This course is intended to the most ambitious modellers in the property industry who would like to be fully proficient in building complex real estate models.

Duration 1 Days 6 CPD hours This course is intended for The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Overview Describe core data concepts Identify considerations for relational data on Azure Describe considerations for working with non-relational data on Azure Describe an analytics workload on Azure In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about large-scale data warehousing, real-time analytics, and data visualization. 1 - Explore core data concepts Identify data formats Explore file storage Explore databases Explore transactional data processing Explore analytical data processing 2 - Explore data roles and services Explore job roles in the world of data Identify data services 3 - Explore fundamental relational data concepts Understand relational data Understand normalization Explore SQL Describe database objects 4 - Explore relational database services in Azure Describe Azure SQL services and capabilities Describe Azure services for open-source databases 5 - Explore Azure Storage for non-relational data Explore Azure blob storage Explore Azure DataLake Storage Gen2 Explore Azure Files Explore Azure Tables 6 - Explore fundamentals of Azure Cosmos DB Describe Azure Cosmos DB Identify Azure Cosmos DB APIs 7 - Explore fundamentals of large-scale data warehousing Describe data warehousing architecture Explore data ingestion pipelines Explore analytical data stores 8 - Explore fundamentals of real-time analytics Understand batch and stream processing Explore common elements of stream processing architecture Explore Azure Stream Analytics Explore Apache Spark on Microsoft Azure 9 - Explore fundamentals of data visualization Describe Power BI tools and workflow Describe core concepts of data modeling Describe considerations for data visualization

This course first equips you with the fundamentals of Python and then progresses to teach you how to use various libraries such as NumPy, Pandas, Seaborn, Bokeh, and so on. This course contains several mini projects so that, by the end of this course, you will be equipped with the essential tools you need to become a visualization expert.

In this course, you will learn the fundamentals of data visualization in Python using the well-known Matplotlib and Seaborn data science libraries and perform exploratory data analysis (EDA) by visualizing a data set using a variety of charts.

This video course gives you an insight into applied data science concepts using Python. With the help of interesting activities and hands-on coding exercises, you'll learn about data science, extended data analysis, linear and logistic regression, data visualization, k-means clustering, and decision trees.

Course Overview Make the most of the plotting and AI capabilities of the world's benchmark programming language by taking this course to create Spatial Data Visualisation and Machine Learning in Python Level 4. Using the intuitive syntax available to you, you will be amazed at the results you can achieve with the power of its libraries and mapping potential for all manner of complex projects. This comprehensive Python tutorial is an excellent way to learn the important and potentially ground-breaking aspects of machine learning. With the benefit of expert guidance and step-by-step training, IT technology, you will be taken from quick installations to complex coding. You will learn how to become proficient with coding capabilities that will put you at the forefront of advanced programming techniques and the aptitude to envisage AI projects that will impress and be used for practical and useful purposes.  This best selling Spatial Data Visualization and Machine Learning in Python Level 4 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Spatial Data Visualization and Machine Learning in Python Level 4 is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Spatial Data Visualization and Machine Learning in Python Level 4 is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Spatial Data Visualization and Machine Learning in Python Level 4 is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Spatial Data Visualization and Machine Learning in Python Level 4, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Spatial Data Visualization and Machine Learning in Python Level 4 will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Spatial Data Visualization and Machine Learning in Python Level 4 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

With this course, you'll learn how to connect to the data source in Tableau and use Tableau for data visualization. Along the process, you'll get to grips with Tableau dashboards, explore storytelling with Tableau, and perform actions to share data with others.

Pivot tables are really very easy to create, but very powerful. By using Excel pivot tables, one can get very interesting and valuable business intelligence from your data in very little time. This short session aims to give you the techniques to use this valuable Excel tool creatively. It is enough time to learn a lot about Excel Pivot Tables, but there is very little time for other questions.

Overview: Visualizing Data: Designing Informative Graphics   Welcome to 'Visualizing Data: Designing Informative Graphics,' a comprehensive course designed to equip you with the skills needed to create compelling and informative visualizations from raw data. In today's data-driven world, the ability to effectively communicate insights through visualizations is crucial for professionals across various industries.   Module 1: Introduction to Data Visualization In this module, you'll embark on your journey into the world of data visualization. Understand the importance of data visualization, its applications, and the fundamental principles behind creating impactful visuals.   Module 2: Choosing the Right Visualization Types Discover the diverse range of visualization types available and learn how to select the most suitable ones for different data sets and objectives. Gain insights into when to use bar charts, line graphs, scatter plots, and more.   Module 3: Data Preparation and Cleaning Master the art of preparing and cleaning data for visualization. Learn essential techniques to ensure data accuracy, completeness, and consistency, laying a solid foundation for effective visualization creation.   Module 4: Design Principles for Effective Visualizations Unlock the secrets of designing visually appealing and informative graphics. Explore principles such as color theory, typography, layout, and visual hierarchy to create engaging and user-friendly visualizations.   Module 5: Basic Charts and Graphs Dive into the world of basic charts and graphs, including bar charts, pie charts, histograms, and line graphs. Understand how to construct these fundamental visualizations accurately to convey your message effectively.   Module 6: Advanced Charts and Graphs Take your visualization skills to the next level with advanced chart types such as heatmaps, treemaps, and network diagrams. Explore complex data structures and learn to visualize them in a clear and intuitive manner.   By the end of this course, you'll have the knowledge and confidence to transform raw data into visually compelling stories that drive understanding and decision-making. Whether you're a data analyst, business professional, or aspiring data visualization expert, 'Visualizing Data: Designing Informative Graphics' is your gateway to mastering the art of data visualization. Don't miss out on this opportunity to elevate your skills and make a lasting impact with your data presentations. Enroll now and embark on your journey towards becoming a proficient data visualization practitioner! Course Curriculum Module 1_ Introduction to Data Visualization Introduction to Data Visualization 00:00 Module 2_ Choosing the Right Visualization Types Choosing the Right Visualization Types 00:00 Module 3_ Data Preparation and Cleaning Data Preparation and Cleaning 00:00 Module 4_ Design Principles for Effective Visualizations Design Principles for Effective Visualizations 00:00 Module 5_ Basic Charts and Graphs Basic Charts and Graphs 00:00 Module 6_ Advanced Charts and Graphs Advanced Charts and Graphs 00:00