Data Analysis Roadmap

Data Analysis Roadmap with Learning Resources!

Data Analysis means analyzing data to gather valuable insights that can be used in decision-making and solving various business problems. The role of a Data Analyst is one of the best jobs to start your journey as a Data Science professional. So, if you are looking for a roadmap to learn Data Analysis, this article is for you. In this article, I will take you through a Data Analysis roadmap with all the learning resources you can follow to learn Data Analysis in 2023.

Data Analysis Roadmap

Here’s a complete roadmap you can follow to learn Data Analysis step by step:

1. Learn Statistics
2. Learn Python
3. Learn Python Libraries for Data Analysis
4. Learn Data Analysis Tools
5. Work on Projects

Now let’s explore each step of the roadmap one by one.

Step 1: Learn Statistics

Statistics is one of the most valuable concepts you need to know to analyze and work with data. Below are some resources you can follow to learn statistics for Data Analysis:

1. Think Stats
2. Statistics 101
3. Statistics for Data Science by Great Learning

Step 2: Learn Python

The next step in this Data Analysis roadmap is to learn Python. Python is one of the most valuable programming languages for data professionals. Below are some resources you can follow to learn Python:

1. Python Full Course by Tech with Tim
2. Introduction to Python programming by Udacity
3. Think Python

Step 3: Learn Python for Data Analysis

The next step in this roadmap is to learn Python for data analysis. Here you need to learn some Python libraries that will help you work with data as a Data Analyst. Below are the most important Python libraries you need to learn for Data Analysis:

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

Step 4: Learn Essential Data Analysis Tools

The next step in the Data Analysis roadmap is to learn all the essential Data Analysis tools you should know as a Data Analyst. Below are all the tools you need to explore one by one:

1. Microsoft Excel
2. SQL
3. Tableau or Power BI
4. Google Colab
5. Jupyter Notebook

Step 5: Work on Projects

The next step is to work on projects to implement all the concepts you have learned while following this Data Analysis roadmap. You can find some of the best Data Analysis projects here.

Summary

So below is a complete roadmap you can follow to learn Data Analysis in 2023 step by step:

1. Learn Statistics
2. Learn Python
3. Learn Python Libraries for Data Analysis
4. Learn Data Analysis Tools
5. Work on Projects

I hope you liked this article on the Data Analysis roadmap with learning resources. Feel free to ask valuable questions in the comments section below.