If you are fond of numbers and handling datasets, then you would have surely considered becoming a data analyst. The good news is you don’t have to be an engineer, scientist, or programmer to learn data analyst skill sets. You can belong to any profession, be anywhere in the world, and still be that cool data analyst who guides all the important decisions of the business.

But are you struggling to find the right learning process that helps you master a data analyst’s skill? Codebasics has a researched and refined approach to your problem!

The internet is full of overwhelming information, which can distract you from the right learning process. We at Codebasics, have prepared a step-by-step guide to master data analyst skills in 3 months. This article contains all the useful chunks of information and valuable data analyst skills to learn, which will help you lay a strong foundation of data analyst skills.

Roadmap to becoming a great data analyst

Often, we end up learning that the most complicated skills are required to study and analyze data. But, focussing on the fundamentals is key for a better outcome. What is the skill set required for being a data analyst? Let’s take a look at it so that you can churn datasets properly.
 

skill set for data analyst

 

  1. Proficiency with Microsoft Excel and statistics

    Being a data analyst, you are married to Microsoft Excel and its sheets. Proficiency with the tool and its features can help you churn out datasets with ease. Charting, inserting pivot tables, filtering and computing are some of the essential features that will help you analyze data quickly and efficiently.

    Getting familiar with the tool will be easier once you start preparing sheets on it. Worried about managing and tracking your finances? Preparing a spreadsheet in excel will not be a bad idea. Working on real-time projects and bettering the approach toward data with excel sheets will help you excel as a data analyst. 

    However, the quantitative approach toward data will only get better once you get a knack for the statistics involved. Learning the basics of statistics will make the process of analyzing data hassle-free. It is advised that you spend the first two weeks of your learning journey with excel and statistics. 

    But what if you come across large chunks of data that need cleaning and structuring? Also, is there any way to get better insights?
     

  2. Business Intelligence tools (BI tools)

    Business Intelligence tools (BI tools) are important for building dashboards and better data visualization. As a data analyst, data cleansing, analyzing, and reporting can be a nightmare. To avoid those nightmares, BI tools like Power BI and tableau are useful. 

    A flair for BI tools will ensure a seamless learning process for you as a data analyst. Moreover, what’s better than learning from projects, which have been prepared to solve a problem in the real world. Spending three weeks with BI tools and working with real data will help you in laying a strong foundation for your data analyst skills.

    Now, if you are analyzing data, you will need libraries for computing tools and handling data well. How can that be done? Python can help you. Yes, the programming language.
     

  3. Python

    Python is considered to be one of the most efficient and easy-to-learn programming languages. Being an aspiring data analyst, you must immediately accept the language as your friend and not foe. 

    Analysts find python a flexible language, and you can explore data at a completely different level with the help of its libraries such as NumPy and Pandas. NumPy and Pandas are rich libraries that will allow you to carry out all the mathematical operations easily.

    Spending the next two weeks on Python will secure your spot on the elite panel of skilled data analysts. But, you will still be missing something.
     

  4. Structured Query Language (SQL)

    Now that you have decided to play with data and become a data analyst, it would be important that you know their language right?

    Structured Query Language (SQL) will improve your analysis of data and allow you to even work on specific information within the datasets. Accessibility of datasets will be improved by SQL. 

    Three weeks of learning SQL will bring you very close to your goal. But, you would not want to miss out on soft skills too.
     

  5. Soft Skills

    There are some essential soft skills to learn for becoming a data analyst. Soft skills such as time management, adaptability, and communication will enable you to learn effectively. While you would be starting this new journey of learning data analytics, you would prefer to be self-motivated and driven during the whole phase. 

    Soft skills will take you to the next level as they improve your performance. You will be able to see a noticeable difference in the final output after learning soft skills.

    Moreover, what’s better than learning in a community? Like-minded people will also help you in improving your productivity!
     

Is there anything left? What’s now stopping you from calling yourself a skilled data analyst? Hard work and consistency! 

The step-by-step guide is with you, and all you need to do is practice and learn every day. Dedicating 4-5 hours every day to this learning process will open the doors of the data world for you. 

Keep working on tasks, and try to evolve with the trend. More practice, better results.

Congrats! You have crossed the river. It’s time to begin!