Data generation is constantly increasing and at a massive rate. It has led to the introduction of a new job opportunity termed “data analyst”. To become a data analyst, you need to follow certain steps and develop the requisite skills of a data analyst. In this blog, we will understand what data analytics is, and understand in-depth how to become a data analyst. We will also unearth the skills required to bag this position. Additionally, we’ll get closer to your dream of becoming a data analyst.

You might also want to read: How to Become a Data Scientist?: Power-packed Guide for Every Aspirant

What is Data Analytics?

data analyst

The term “analyze” can imply scrutinizing something and developing useful insights from it. Therefore, data analytics is the process of scrutinizing data and deriving useful insights from it. Insights can be business information, the latest innovations and trends, market trends, and so forth.

We can compare a jigsaw puzzle to data analytics. The primary step is collecting all the puzzle pieces. Then, fit them in a structured manner and correctly to carve out the final image or result. Following this process, data analytics requires you to thoroughly analyze and get information from all the sources available.

Next, clean it to ensure the junk, unnecessary and incorrect part is out. Then, transform that data into insights that everybody can interpret. The data you gather is basically thrown into three categories, which are structured, semi-structured, and unstructured.

You must leverage certain tools and frameworks in the analysis process to showcase the final result visually. They can be in the form of graphs and charts. If you are the one who can easily convert raw data into meaningful and comprehend insights, you have a shot at becoming a great data analyst. Data analytics has a pool of job roles and data analytics is the most amazing one among them.

How to Become a Data Analyst?

data analyst

Familiarize Yourself with Data Analytics Fundamentals

Learning the fundamentals of any domain is the first step they would require you, and data analytics is not an exception. Additionally, you also need to master the usage of data analysis tools such as Microsoft Excel (advanced knowledge), programming languages like Python and R, other tools such as Spark and Hadoop for number-crunching, and finally Tableau, Matplotlib, or ggplot2 to present beautiful visualizations which bring data to life.

A certified data analytics course is an ideal opportunity that helps you develop fundamental data skills, and the ability to grow practical or hands-on experience with data management, programming languages, statistical algorithms, data visualization, and more.

Work on Real-Time Projects to Enhance your Data Analytics Skills

having practical exposure to the basic tools of data analytics is the only way to increase your chances of becoming a data analyst. Once you gain knowledge of these tools, you can put this knowledge to work. Don’t forget to keep yourself updated with the latest trends and tools associated with analytics to grow your ladder towards success. The tools should include the following:

  • Querying languages and spreadsheets such as SQL and XML
  • Thorough with programming frameworks and languages such as Hadoop, Python, and R
  • Visualization tools such as Matplotlib, Tableau, Bokeh, Plotly, and PowerBI

Exposure to analysis platforms such as Adobe and Google Analytics is a must-have to increase knowledge and experience. Next, combine projects indicated in every data analysis stage, thereby establishing a data parameter that you need to collect. Then, gather and clean the data, and further model and analyze it through leveraging custom-built algorithms. Finally, present your insights in the form of beautiful visualizations, or organize them into a dashboard that enables others to interact with your dataset in a user-friendly way.

You might also want to read: Scope of Data Science: Don’t Miss Out on these Points

Grow Visualizations and Try Presenting Them

For becoming adept at data visualization, hands-on experience with tools such as Tableau, PowerBI, Bokeh, Plotly, or Infogram is necessary. Try creating visualizations from the ground up (i.e., from scratch), and find the ideal way for data to speak for itself. Excel helps even in this step.

You make calculations or graphs by correlating the data in the cells. Creating visualizations is not the only thing that’s important here. The ability to present those visualizations in front of various stakeholders in a user-friendly way is far more essential. Communication skills play a great role here. They either come to you naturally, or you work for them. You may start by presenting in front of your friend, colleague, or a pet and see how it goes.

Build Your Data Analyst Portfolio to Showcase Your Work and Achievements

Deciding on how to showcase your knowledge and data skills is an important point to consider when preparing for a data analyst interview. Preparing a professional portfolio will be of great support.

Transfer the codes you have written to GitHub to display what you are capable of and commence with your portfolio preparation. Kaggle has the largest data science network in the world and to become a part of it will be a wise move and an apt opportunity to showcase your engagement with a huge and like-minded community that helps boast about your aspirations as a data analyst, and increase your expertise and network strength.

Lastly, if you have ever pulled off a well-executed project by yourself, it couldn’t be better than this. This will show the employer that you are capable of self-working and possess amazing data analysis skills that will impress them at the get-go.

You must opt for something which interests you, form questions surrounding it, and try answering them through data. Finally, you present whatever results you have received from your data (beautifully visualized) with a precise explanation of the process, highlighting your technical abilities and innovativeness.

Final Words on a Data Analyst Journey

If you are a data analytics enthusiast, Skillslash has got a great opportunity for you. Being the leading provider of data science and data analytics certifications, we have trained 5000+ students and placed our students with lucrative packages. Our curriculum is industry-specific to ensure you are getting practical exposure and industry leaders will be there to teach you. You can get in touch with our support team to book a counseling session to get your data analytics journey mapped out.

 

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