# How To Become A Data Analyst Without Spending A Penny

###### Synopsis

Data analysis is an emerging field which paves the way for data science. There is high demand for data analysts in the job market. It is also a very lucrative career option. Here in this article, we provide a roadmap to become a data analyst. Read on to know in detail.

###### Synopsis

Data analysis is an emerging field which paves the way for data science. There is high demand for data analysts in the job market. It is also a very lucrative career option. Here in this article, we provide a roadmap to become a data analyst. Read on to know in detail.

Data analysis refers to the analysis of a huge amount of data to bring out meaningful insights from it. Data analysis is a career which opens the door for the field of data science.

There are a lot of resources where you can learn data analysis without spending a penny. A lot of content is available on the internet which is of good quality and is free. One must be aware of the good resources out of many to save time and learn the skills which are exactly required.

In this article we discuss the roadmap to become a data analyst without spending a penny. The given roadmap has been prepared after taking inputs from multiple Industry experts who are working as data analysts in reputed organisations. Here we also discuss the mistakes one is prone to make while making a career as data analyst so that you can avoid committing those mistakes. Let's discuss how to become a data analyst.

## Steps to become a Data Analyst

### Step 1: Learn Mathematics concepts related to data analysis

There are a couple of topics one must learn before starting the data analysis. These topics are fundamental for conceptual clarity. These topics are statistics, probability, linear algebra and calculus. Such topics are not very difficult to understand. Learn the basic concepts so that you are able to apply these concepts while analysing the real data.

If you are not able to find a good source, there is a website which provides easy explanations of these topics which is ‘’Khan Academy’’. You can watch the video lectures to clear your doubts. Also one can refer to Coursera as there are multiple good courses to understand these mathematical concepts.

### Step 2: Learn Tools for Data Analysis

SQL: SQL is the most important tool to learn for data analysis. One must be efficient in writing SQL queries. SQL queries make analysis of data very easy. SQL can be learned from various sources. Some of the good sources are W3 school, Hackerrank platform and udemy courses.

One must first learn the basic concepts of SQL, their syntax and then solve the questions to apply these concepts. You can practice real data analysis on your own using a Database management system (DBMS) like MySQL etc. It is to be noted that, data analysts after a few years of experience get the opportunity to become data scientists. Hence it must ensure that you are well versed with all the topics of SQL and have hands-on experience on working with SQL. freeCodeCamp is also another good resource which can be explored once you have completed the course with the help above listed resources.

### Step 3: Learn Python

Python programming language is fundamental for data analysis. Hence it is generally recommended to learn the basics of python to kickstart the careers as data analyst.

Python is the most widely used programming language for data analysis. It helps in organising, cleaning and analysing huge amounts of data in an efficient manner.

Python can be practised from online free resources like there is a website called HackerRank and W3 school which provides easy explanations to the concepts of python. There are many questions along with the concepts on these websites which must be solved properly to know how to apply the concepts in problem solving.

With the help of Python libraries like Numpy, Scikit-Learn, TensorFlow, Matplotlib etc. you must get basic skills for data analysis and data visualisation.

Lastly, do projects online which involve data analysis, try to attend hackathons for data analysts, make a network of people working in the same field. It is also important to build a good resume and start applying for jobs in multiple organisations. Once you start giving interviews, you will get an idea of the questions asked. You can discuss with others about how to get a data analyst job. Try to mention all the skills and projects done by you in your resume. Once you get the job, be open to learn new skills and update yourself with the new developments in the field of data analysis. This article also tells how to become a data analyst with no experience. Hope this article will help to shape your career as a data analyst and gradually move into data sciences.

• Branches of science
• Technology
• Science
• Analysis
• Statistics
• Computing
• Computer data
• Information technology
• Information technology management
• Data management

## Subscribe toMembership Plan

##### *Unlock all premium content and benefits:
Read more from Latest Stories

## Careers360 helping shape your Career for a better tomorrow

Students

Colleges

Exams

E-Books

### Download Careers360 App's

Regular exam updates, QnA, Predictors, College Applications & E-books now on your Mobile

Students

Colleges

Exams

E-Books

• ##### 12000+

Cetifications