![]() ![]() ![]() You'll have worked with multiple data sets and spreadsheets, and will have the skills and knowledge needed to effectively clean and analyze data without having to learn any code. The earner is also able to perform basic data analysis tasks using Microsoft Excel spreadsheets, and has demonstrated the ability to work hands-on with. The final project will allow you to showcase your newly acquired data analysis skills by working with real data sets and spreadsheets.īy the end of this course, you'll have a solid foundation in using Excel for data analysis. You'll learn how to clean and format your data efficiently, and convert it into a pivot table to make it more organized and readable. ![]() With each lab, you'll have the opportunity to manipulate data and gain hands-on experience using Excel. This course is designed to provide you with basic working knowledge for using Excel spreadsheets for Data Analysis. There is a strong focus on practice and applied learning in this course. Excel Basics for Data Analysis This course is a part of IBM Data Analyst, a 7-course Specialization series from Coursera. From there, you'll learn how to perform basic data wrangling and cleansing tasks using functions, and expand your knowledge of data analysis through the use of filtering, sorting, and pivot tables. We'll start by introducing you to spreadsheets like Microsoft Excel and Google Sheets, and show you how to load data from multiple formats. Throughout this course, you'll gain valuable experience working with data sets and spreadsheets. If you have a desktop version of Excel, you can also easily follow along with the course. No prior experience with spreadsheets or coding is required - all you need is a device with a modern web browser and the ability to create a Microsoft account to access Excel online at no cost. As per the Forrester wave report, in September 2018, IBM is the second-largest Machine Learning and Predictive Analytics solutions provider globally. This course is suitable for those who are interested in pursuing a career in data analysis or data science, as well as anyone looking to use Excel for data analysis in their own domain. This course is designed to give you a basic working knowledge of Excel and how to use it for analyzing data. In this video, I reviewed Excel Basics For Data Analysis from IBM which is part of IBM Data Analyst Professional specialization from Coursera and IBM. Learn the foundations and advanced concepts to secure a job in the industry.Spreadsheet tools like Excel are an essential tool for working with data - whether for data analytics, business, marketing, or research. Learning Outcomes: Utilize Excel spreadsheets to perform a variety of data analysis tasks like data wrangling, using pivot tables, data mining, and creating. Launch your Data Analytics career by extending your knowledge with the best Data Analytics Courses. Attend a quiz after completing the course that lets you test your knowledge and claim your course certificate once you pass it. Using various examples, the instructor explains Data Visualization in the course. The final phase of this course will cover Data Visualization, in which you will be able to learn how to represent data using pictorial charts and tables. The instructor covers how to create Treemaps, Scatter Charts, and Histograms. 0 forks Report repository Releases No releases published. It will further guide you to use different functions of excel with regard to Data Analytics like Sort and Filter, Lookup functions, conditional formatting, Pivot tables, and more. In this course, you will gain a basic understanding of Data Visualization. PeerGradedAssignment rename the 2 task remove the pivot table part will secure full points until the data is changed. The course starts with the Introduction to Data Analytics and explains the phases of the Data Analytics project. This free course has been designed to prepare you for meaningful opportunities in the future pertinent to Data Analytics. Learn to perform Data Analytics using excel in this course.
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