Here’s How to Learn Data Analysis

Data Analysis means analyzing data to gather valuable insights that can be used in decision-making and solving various business problems. So, if you are looking for a step-by-step guide to learning Data Analysis, this article is for you. In this article, I will take you through how to learn Data Analysis step-by-step.

Here’s How to Learn Data Analysis

Below is the complete guide on learning Data Analysis step by step.

Learn Statistics

Statistics is one of the most valuable preliminaries for Data Analysis. If you come from an educational background where you studied statistics as the main subject, then there is no need to learn statistics again. But if you have never studied statistics as your main subject, you should spend some time understanding the concepts of statistics.

You can use data analysis tools to work with data, but if you don’t know statistics, you will find it hard to interpret the results. Here is a book that will help you learn statistics for Data Analysis.

Learn Python

Now the next step is to choose a programming language. I recommend you to learn Python as it is preferred in the industry for data analysis. With Python, you can manipulate, visualize, and analyze any amount of data.

Now there are many free and paid resources on the internet to learn Python. You only need to learn the fundamentals of Python if you are learning it for data analysis. You can learn the fundamentals of Python here.

Learn Python Libraries

Now the next step is learning Python libraries for Data Analysis. Python has a lot of libraries and frameworks that make it acceptable in the industry. You need to learn Python libraries for working with data, data visualization, and analysis.

Below are the Python libraries you need for Data Analysis:

  1. NumPy
  2. Pandas
  3. Matplotlib
  4. Seaborn
  5. Plotly

Learn Data Analysis Tools

The next step is to learn the tools and software needed by every data analyst. As a data analyst, you create dashboards to present your findings in data. You also need to learn SQL and a NoSQL database to get your first job as a data analyst.

So below are all the tools you need for data analysis:

  1. Microsoft Excel
  2. MySQL
  3. MongoDB
  4. Tableau or Power BI

Work on Projects

After completing all the steps mentioned above while learning data analysis, the next step is to work on projects. You can create data analysis projects using Tableau, Power BI, Python, or any tool you explored while learning data analysis. For reference, here are some data analysis projects that will help you understand how to create data analysis projects.


So below are all the steps you need to follow for learning data analysis:

  1. Learn Statistics
  2. Learn Python
  3. Learn Python libraries
  4. Learn data analysis tools
  5. Work on data analysis projects

I hope you liked this article on a step-by-step guide on learning data analysis. Feel free to ask valuable questions in the comments section below.

Aman Kharwal
Aman Kharwal

I'm a writer and data scientist on a mission to educate others about the incredible power of data📈.

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