Much of the world's raw data—from electronic medical records to customer transaction histories—lives in organized collections of tables called relational databases. Being able to wrangle and extract data from these databases using SQL is an essential skill within the data industry and in increasing demand. In this two-hour introduction to SQL, you'll get to know the theory and the practice through bite-sized videos and interactive exercises where you can put your new-found skills to the test. SQL is an essential language for building and maintaining relational databases, which opens the door to a range of careers in the data industry and beyond. You’ll start this course by covering data organization, tables, and best practices for database construction. The second half of this course looks at creating SQL queries for selecting data that you need from your database. You’ll have the chance to practice your querying skills before moving on to customizing and saving your results. PostgreSQL and SQL Server are two of the most popular SQL flavors. You’ll finish off this course by looking at the differences, benefits, and applications of each. By the end of the course you’ll have some hands-on experience in learning SQL and the grounding to start applying it on projects or continue your learning in a more specialized direction. Relational Databases Before writing any SQL queries, it’s important to understand the underlying data. In this chapter, we’ll discover the role of SQL in creating and querying relational databases. Using a database for a local library, we will explore database and table organization, data types and storage, and best practices for database construction. Querying Learn your first SQL keywords for selecting relevant data from database tables! After practicing querying skills in a database of books, you’ll customize query results using aliasing and save them as views so they can be shared. Finally, you’ll explore the differences between SQL flavors and databases such as PostgreSQL and SQL Server.

I am Certified Professional Data Analytics Expert with extensive experience in Cognos, Oracle BI, Power BI, DAX and Python. I specialize in handling and analyzing large datasets and am highly skilled in data visualization. I am excited to help you get started on your project! Let's touch base and begin the process. In our Introduction to Python course, you’ll learn about powerful ways to store and manipulate data, and helpful data science tools to begin conducting your own analyses. Python Basics An introduction to the basic concepts of Python. Learn how to use Python interactively and by using a script. Create your first variables and acquaint yourself with Python's basic data types. Python Lists Learn to store, access, and manipulate data in lists: the first step toward efficiently working with huge amounts of data. Functions and Packages You'll learn how to use functions, methods, and packages to efficiently leverage the code that brilliant Python developers have written. The goal is to reduce the amount of code you need to solve challenging problems! NumPy NumPy is a fundamental Python package to efficiently practice data science. Learn to work with powerful tools in the NumPy array, and get started with data exploration.

An excellent logistics system delivers the right product to your customer at the right price, so understanding logistics is critical to your success. In this course, instructor Samir shows you why logistics is important, what it is, and how logistics supports your company and your customers. Samir discusses how logistics must be effective and efficient. He explains steps to improve how a customer’s order is filled. The course covers both outbound and inbound logistics and also goes over reverse logistics. More money is spent on transportation than on all other logistics functions combined, so Samir specifically takes you through different modes of transportation and how they often work together. He also shares the four cost tradeoffs in warehousing and goes into specific cost-efficient and value-added distribution center activities. The course steps through how logistics supports your marketing strategy, cuts across departments, and touches your customers.

Gain a 360° overview of exploring and using Power BI to build impactful reports. In this course, you’ll go from zero to hero as you discover how to use this popular business intelligence platform through hands-on exercises. Before diving into creating visualizations using Power BI's drag-and-drop functionality, you’ll first learn how to confidently load and transform data using Power Query and the importance of data models. You’ll also learn to drill down into reports and make your reports fully interactive. You've got the power! Getting Started with Power BI Discover how to navigate this intuitive tool and get to grips with Power BI’s Data, Model, and Report views. You’ll load multiple datasets in the Data view, build a data model to understand the relationships between your tables in Model view, and create your first bar graph and interactive map visualization in Report view. You’ll also practice using Power Query Editor to prep your data for analysis. Transforming Data In this chapter, you'll learn how to shape and transform your data before the data analysis using Power Query Editor. Visualizing Data It’s time to power-up your business intelligence skills! Through hands-on exercises, you’ll learn how to change and format a wide range of visualizations, before moving on to sorting data and creating hierarchies—making it possible for you to drill into your reports. Filtering In the final chapter, you’ll discover how to filter the information in your reports by location and control how these filters interconnect and interact with other visuals in your report.