How to Perform Data Analytics? A Step-By-Step Guide

Performing Data Analytics can be a very overwhelming task especially if you are a newbie and don’t have knowledge about the data analytics process. Keeping this in mind, today we are sharing with you a step-by-step guide that you can follow to perform data analytics without any problem.

Here’s how you can perform data analytics for your clients.

Understand the Business Problem

As a data analyst when you will get a data project you will also be given a brief description of what the management is expecting from you. From that description, you have to uncover the objectives or goals that the management wants to achieve. Besides this, you should carefully go through all the important details of the project like the issue that the business is facing, the goal of the project, information that management is expecting to get from analysis, etc. 

You must carefully go through all these details before you begin working on the project. Why you should do this? You should do this because it will make your work easier and help you know what the stakeholders are expecting from you. So, make sure you go through the details of the project before you begin working on the project.

Understand Your Data by Organizing It

Once you have gone through the details of the project the next thing that you have to do is to organize the data that you will use for analysis. For this, you can use a variety of tools like R, Python, Tableau, etc. You can also use Microsoft Excel for organizing your data if the amount of data with which you have to work is not that big. Using the above tools, you can easily organize your data and identify and fix errors in the data like spelling errors, duplicate data, omission of data, etc. This will not only improve the quality of the data but will also make your work a lot easier. To learn more about these tools and how to use them for organizing your data feel free to join the Data Analytics Online Course in Dubai.

Prepare Your Data for Analysis by Cleaning It

After organizing your data, the next thing that you must do is to prepare your data for analysis by cleaning it. In this step, you will identify variables that might be missing in your data sets, categorize your data, and remove duplicate data from your data sets. This will again help you improve the quality of your data and allow you to easily process it without any problem or issue.

Do Exploratory Analysis and Modeling

After cleaning your data, you have to do exploratory analysis for analyzing your data sets and summarizing their key characteristics. Next, you have to build models for testing your data and finding answers to the goals and objectives of your project. For this, you can use various statistical modeling methods or techniques like linear regression, classification, resampling, forest modeling, etc.

Validate and Verify Your Findings

Once you are done testing your data using the built testing models you will have to validate their findings to ensure that they are accurate. If the findings are not accurate then you will have to perform all the above steps again till you don’t get the answer to the business problem of your client. So, do validate and verify your findings to make sure they are accurate and can solve the business problem of your client.

Visualize Your Findings to Communicate Them Effectively

After, validating your findings you can start working on visualizing your findings to communicate them more effectively. Why is it important to visualize your data? It is important because not everyone is data-savvy and can understand the data by looking at numbers and percentages. Thus, you must visualize your data and present it via charts and graphs so that your client can easily understand your findings. For doing this, you can use visualization tools like Excel, Tableau, FusionCharts, etc. To learn how to visualize your findings and communicate them effectively to your clients feel free to join the Data Analytics Online Training in Saudi Arabia.

Conclusion

Performing data analytics is not that hard as it may appear to be. With proper knowledge and following the right plan, you can easily perform data analytics without facing any issue or problem. So, if you are new to analyzing data for finding solutions to business problems, then you can follow the instructions of this guide to perform data analytics without any difficulty.