Introduction to Data Analysis Using Excel

In this course, we’ll dive into high-level consolidation, analysis, and reporting of financial information. In Excel 2019, visualizing data with charts and graphs is an essential skill for data analysis. This allows you to present your data in a visual format, making it easier for others to understand the information. This course is designed in such a way that going through this excel data analysis course will make you realize how masterful you can become on MS Excel.

Microsoft Excel 2019. Data Analysis Lessons

The course is designed as such to enable the learners to gain an understanding of advanced data sorting and filtering techniques, usage of lookup functions and other essential functions. The training will serve as a guide to learners about the usage of statistical tools in excel. Thus, training as well as the projects will take you through essential features of excel and their effective usage. Excel 2019 is a powerful tool for data analysis, allowing users to organize, manipulate, and visualize their data in a variety of ways. The data analysis feature in Excel 2019 provides users with the ability to perform complex analysis and generate valuable insights from their data.

Analyze Bitcoin Data in Excel

The session will be conducted on the power pivot, wherein learners will get to know about pivot charts, pivot tables, pie charts and slicers. Master business modeling and analysis techniques with Microsoft Excel 2019, and transform data into bottom-line results. Excel 2019 also includes various what-if analysis tools, such as Goal Seek and Scenario Manager, which allow users to explore how changing specific variables can impact the results of their data analysis.

  • Once your PivotTable is created, you can start analyzing your data by arranging and rearranging the fields to see different views and summaries of the data.
  • The course takes you from basic operations such as reading data into excel using various data formats, organizing and manipulating data, to some of the more advanced functionality of Excel.
  • This Excel Data Analysis Course includes 24 Excel courses with 87+ hours of video tutorials and Lifetime access and several mock tests for practice.
  • Whether you are a data analyst, business professional, or a student, understanding these tools can significantly improve your ability to analyze and interpret data effectively.

This course includes an optional online quiz that will generate a course certificate upon completion. This will open a dialog box where you can choose where to place your PivotTable and which fields to include. The first step in creating a PivotTable is to select the data you want to analyze. This can be done by clicking and dragging to select the range of cells containing your data. Learners will also be introduced to a project that will deal with building dynamic heat maps in excel 2016 version. In the next segment, a case study will be discussed based on the performance rating of employees using excel.

Preparing Data for Analysis with Microsoft Excel

By using PivotTables, users can easily identify trends and patterns in their data, such as sales trends over time or regional variations in product performance. The course will conclude with a discussion on the presentation of pivot tables. In this part, we will discuss stock analysis, project dashboard, company dashboard and a case study on sales analysis. Learners will come across various excel functionalities that are useful for a data analyst. They will learn about advanced data sorting, conditional formatting and cell referencing, v-lookup, h-lookup, cell referencing and so on.

In doing so, we will cover concepts like functions, pivot tables, evaluation, date and time format, v-lookup, future value function, business information, etc. Sorting and filtering data are essential functions in Excel that allow you to organize and analyze your data effectively. Whether you’re working with a small dataset or a large one, these functions can help you gain valuable insights. Microsoft Excel is one of the most popular data tools in the business world.

Project Highlights

We can take many examples of data analysis from various professions like finance, marketing, banking, trading, investment professionals and many more. The sales productivity dashboard will be discussed with the help of a project. In this project, concepts such as database creation, formatting, index, business analysis, zone state, consolidation, tenure and age group, moving average, etc. shall be covered. I enrolled in Simon Sez IT to use the Microsoft Excel for beginners course.

  • The training will then move forward to cover advanced excel functions of the 2010 version such as useful excel functions, data functions, what-if-analysis, text functions, auditing formulas, charts, form controls, etc.
  • Here, we will discuss shortcut functions, excel functions, vertical lookups, financial functions and average-if function.
  • In this tutorial, we will explore where to find the data analysis tools in Excel 2019 and how to use them effectively.
  • These advanced data analysis techniques can be powerful tools for businesses and professionals looking to make data-driven decisions and gain valuable insights from their data.

Or you can also showcase how effective your teaching method is to the top management. The idea is to learn the course thoroughly and using ingenuity to come up with the utility factor. When you enroll in the course, you get access to all of the Microsoft Excel 2019. Data Analysis Lessons courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page – from there, you can print your Certificate or add it to your LinkedIn profile.

They can help to discover trends, patterns, and relationships within the data that may not be immediately obvious. Scenario analysis can be applied in various scenarios, such as in the energy sector where companies need to assess the impact of different oil price scenarios on their profitability and investment decisions. By creating and analyzing different scenarios, companies can better understand the potential risks and opportunities, and make more informed decisions in a volatile market. For regression analysis, consider a retail business looking to forecast sales for the upcoming year. Statistical analysis is a crucial part of data analysis, and Excel 2019 offers a variety of functions to perform statistical calculations. In this chapter, we will explore the introduction to statistical functions in Excel and how to use functions such as AVERAGE, STDEV, and COUNT.

  • You will also get verifiable certificates (unique certification number and your unique URL) when you complete each of the courses.
  • With Excel 2019, you have the power to dive deep into your data and uncover valuable insights.
  • Or you can also showcase how effective your teaching method is to the top management.
  • The course will conclude with a discussion on the presentation of pivot tables.

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