How to Become a Data Analyst With or Without Experience?

Download ebook

A data analyst is a person who helps the organization to understand the raw data. This further helps stakeholders in decision-making. A data analyst first collects and cleans, and then organizes it. A data analyst takes the help of an analytics tool. So if you are interested in solving problems with technology, a data analyst profile might suit you. In this blog, I will explain how to become a data analyst with or without experience.

 

What Are The Duties Of A Data Analyst?

Every organization, whether start-up or corporation consistently faces challenges like

• What kind of product to develop
• Which is the good market to launch a product/service
• How to Invest
• How to target customer segment

To address such questions an organization needs a data analyst. In other words, a Data analyst helps organizations to understand complex data to make informed decisions. To understand how to become a data analyst, let’s first look at the few job responsibilities mentioned as follows,

 A data analyst job includes data extraction from primary and secondary sources. Then they organize this data in an understandable format.

· They are responsible for maintaining a database. They create, update, read as well as delete unwanted data.

. They clean the raw data by removing the irrelevant data. This further helps Data Scientists for manipulation.

·  They are also responsible for the quality of data.

. They collaborate with multiple teams to prepare and communicate necessary information about data.

. They also maintain data confidentiality and data security.

. Data analyst prepares reports in graphical and chart formats. It’s not only easy to understand but also helps to analyze factors such as market analysis, profitability, etc.

. Furthermore, data analyst helps in troubleshooting issues related to reports and databases.

Tools Used By Data Analysts

Following is the list of tools used by data analysts,

• Microsoft Excel
• Microsoft Power BI
• Google Cloud AutoML
• Python
• Tableau
• R
• Jupyter Notebook
• SAS
• Apache Spark
• Steamlit

Skills Required to Become A Data Analyst

1.      Programming Language

A data analyst needs to learn programming languages for example Python, R, and SQL. These languages are used to manipulate data, create charts and graphs, and perform statistical analysis.

2.      Data Visualization

Tools like Power BI and Tableau are used to create visualization with the data. The training on these tools will help to create interactive dashboards and then reports. Moreover, these tools allow real-time data tracking.

3.      Statistical Analysis

Data analysts usually use firstly R for statistical analysis and secondly python for general data analytics. Further, these tools and knowledge will help you for exploration and analysis.

4.      Data Cleaning and Collection

Before starting work the data must be cleaned. The data needs to be transformed into a usable format for further steps.

5.      Machine Learning

A data analyst needs machine learning to create analytical models. With the increasing use of artificial intelligence, data analysis with machine learning is an equally important skill.

6.      Problem Solving

A data analyst is responsible for solving problems in the organization with analytics.

7.      Accuracy

Maintaining data accuracy is an important skill for data analysts. Since a minute error can also lead to an incorrect solution. A data analyst needs to be very careful about the accuracy of data.

8.      Communication Skills

Data analytics work with various departments and people. That’s why data analyst needs to have good communication skills. They should be able to convey the results of analysis effectively. A data analyst suggests solutions to increase productivity.

How To Become A Data Analyst

Follow the below steps

Basic Educational Qualification

 Graduation is required in fields like computer science, mathematics, and statistics. A master’s degree is also required sometimes.

Develop Technical Skills

Learn essential technical skills like Python, R, Power BI, etc. Mastering these skills is significantly important for a data analyst.

Work on Projects

 You can work on a project with training to learn and improve your skills.

Create a Portfolio

Creating a portfolio. A lot of data analysts use GitHub for this. It will help you to showcase your skills and experience.

Continuous Learning

The IT field is constantly changing with new developments. Therefore, a data analyst must update themselves to advance in this competitive job market.

How To Become A Data Analyst Without Experience?

You can follow the basic steps mentioned above like to get a basic educational qualification. However, if you do not have any experience in this field, below guidelines will help you

Get Certification From A Renowned Institute

Training courses in data analytics will help you to learn the concepts. You can understand the basics as well as gain practical experience. Henry Harvin has a Post Graduation Program in Data Analytics. It is a known upskilling and reskilling institute.

This program can help you to become a data analyst. Industry experts design this program to make candidates ready for the job role.

Key Features Of Henry Harvin Data Analytics Course:

Two-way live sessions

Henry Harvin offers live classes with a certified instructor. Meanwhile, you can communicate with your trainer regarding your doubts.

Hallmark Certification

The Henry Harvin certificate is an internationally recognized certificate with a hallmark beside your name.

Capstone Project

Moreover, you can implement your learning by working on capstone projects offered by Henry Harvin.

Guaranteed Internship

Henry Harvin offers 100% guaranteed internships at all levels.

Personalized Job Support

The course also comes with access to premium job portals, with weekly job updates.

Masterclass

The course provides 52 + masterclasses by experts.

E-learning Portal

Henry Harvin provides an E-learning portal, where you can access your course material as well as session recordings.

Gold Membership

The course comes with 1-year Gold membership. You can also attend multiple sessions with multiple trainers for 1 year.

Apply For Entry-Level Jobs

Apply for entry-level jobs even without experience. It will give you exposure in the industry eventually. You can start applying for the jobs, even if it is partially matching with your profile.

Networking

Attend networking events and industry meetups. This will help you to connect with industry people. And this way it will increase your employment chances. LinkedIn is also a good platform to create a strong profile and connect with like-minded people.

Conclusion 

Organizations are more data-driven now. Therefore the data analyst role has become critical. This is a highly demanded profile today. Hope now you have a fair idea about how to become a data analyst with or without experience. Whether you are a beginner or an experienced professional master these skills. It will help you to become an excellent data analyst. As this field is continuously evolving, staying updated with the technology is necessary too.

Recommended Reads

• The Most Amazing Top Data Analytics Certifications
• Data Analytics Salary in India in 2024
• Scope of Big Data Analytics Courses in 2024
• Benefits of Big Data Analytics – With Examples

FAQ’s

Q.1 Is data analytics a good profile?

Ans: Data analytics is one of the most popular profiles today. Most organizations need a good analyst in their organization.

Q.2 Can you become a Data Analyst without a degree?

Ans: Many organizations prefer a degree in fields like computer science or statistics. You can still become a data analyst without any degree. Online courses and certifications can help to learn the necessary skills. Try to attend some boot camps and hackathons to get practical experience.

Q.3 Does Data Analysis is a hard skill to learn?

Ans. Coding languages such as Python, R, or other statistical tools are a must for this role. Therefore, this can be slightly challenging. But with the right training and practice anyone can learn.

Q.4 Types of data analytics?

Ans. The following are the types of data analytics,

1.      Predictive data analytics

2.      Prescriptive data analytics

3.      Diagnostic data analytics

4.      Descriptive data analytics

Q.5 Mention the top five industries where Data Analytics is used.

Ans. The following are the top industries where data analytics are used.

1.      Banking and Securities

2.      Pharma and Healthcare

3.      Manufacturing

4.      Media and Entertainment

5.      Retail and wholesale

Download ebook