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Data Science

Data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data.

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Topics to be covered


Introduction to Data Science


Data Collection and Cleaning


Data Exploration and Visualization


Data Manipulation and Analysis


Machine Learning Basics


Supervised Learning Algorithms


Unsupervised Learning Algorithms


Model Selection and Evaluation


Natural Language Processing (NLP)


Time Series Analysis

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How to Become a Data Analyst (with or Without a Degree)

Discover the steps and strategies to become a data analyst, whether you have a degree or not. Explore essential skills, certifications, and career pathways in the field of data analytics.

DeveLearn Technologies

30 minutes

June 26, 2024

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Data analytics skills are increasingly in demand. Learn the skills needed to become a data analyst, what the role entails, and how to take the next steps in your career.

Data analysts collect, clean, and analyze data to help businesses make informed decisions. If you’re interested in this growing field, here’s a path to get you started:

  1. Get a Foundational Education: Start with a basic understanding of data analysis. You can achieve this through a degree in a related field or by taking online courses.

  2. Build Your Technical Skills: Learn essential technical skills like SQL, Excel, Python, or R. These tools are crucial for data manipulation and analysis.

  3. Work on Projects with Real Data: Gain practical experience by working on projects that involve real data. This will help you understand how to apply your skills in real-world scenarios.

  4. Develop a Portfolio of Your Work: Create a portfolio showcasing your data projects. This will demonstrate your skills to potential employers.

  5. Practice Presenting Your Findings: Learn how to present data findings clearly and effectively. Communication skills are key in making data understandable and actionable.

  6. Get an Entry-Level Data Analyst Job: Apply for entry-level positions to gain professional experience. This will be your first step into the field.

  7. Gain Certifications: Consider earning certifications in data analysis to validate your skills and improve your job prospects.

Let’s take a closer look at each of these steps.

How to Become a Data Analyst: A Step-by-Step Guide

Data analytics jobs are available in many industries, and there are multiple paths to securing your first job in this high-demand field. Whether you're starting your career or switching to a new one, here are the steps to becoming a data analyst:

1. Get a Foundational Education 

If you’re new to data analysis, start by building a strong foundation. This will help you decide if this career is right for you and provide you with essential skills.

Typically, becoming a data analyst involves earning an undergraduate or postgraduate degree in fields such as computer science, information management, math, statistics, economics, finance, or business information systems. Many companies prefer candidates with this background because it shows solid knowledge in relevant quantitative skills.

A postgraduate degree can offer hands-on experience in real work environments. Depending on your interests, you can focus your postgraduate studies on specific areas, like a Master in Data Science or a Master in Business Analytics. Each program has a different curriculum focus but both are valuable for data analysts.

If you have a degree in an unrelated field or do not have a degree, you can still build the necessary skills through certificate programs or university courses. It's important to obtain relevant Professional Certificates to show that you have the skills required for the job.

2. Build Your Technical Skills

To get a job in data analysis, you need to have a specific set of technical skills. Whether you learn these through a degree program, professional certificate, or self-study, here are the essential skills you’ll likely need:

  • Statistics

  • Programming Languages: R, Python, and JavaScript

  • SQL (Structured Query Language)

  • Data Visualization: Tools like Tableau, QlikView, and Power BI

  • Data Cleaning and Preparation

  • Microsoft Excel

  • Dashboard Creation

  • Relational Databases

  • Machine Learning

Review job listings for the roles you are interested in and focus on the specific programming languages or visualization tools mentioned in those listings.

Besides technical skills, employers also look for soft skills such as communication (to present findings to non-technical audiences), problem-solving, creativity, and industry-specific knowledge.

3. Work on Projects with Real Data

The best way to learn how to analyze data effectively is by working with real-world data. Look for degree programs or courses that include hands-on projects using real datasets. Additionally, there are many free public datasets available for you to use in your projects.

Here are a few places to get started:

  • Open Source Data and Resources: Check out GitHub India for various datasets.

  • NASA Open Data: Explore and find solutions to significant challenges with NASA's datasets.

Choose a topic that interests you and find related data to practice your skills. This hands-on experience is crucial for understanding how to extract value from data.

4. Develop a Portfolio of Your Work

As you work with online datasets or complete assignments in your courses, save your best work for your portfolio. A well-organized portfolio showcases your skills to potential employers and can significantly boost your chances of getting hired.

When creating your portfolio, choose projects that highlight your ability to:

  • Scrape Data: Gather data from various sources.

  • Clean and Normalize Data: Prepare raw data for analysis.

  • Visualize Findings: Use graphs, charts, maps, and other visual tools to present your results.

  • Draw Actionable Insights: Interpret data to provide meaningful conclusions and recommendations.

If you have worked on group projects, include one in your portfolio to demonstrate your teamwork skills.

If you're unsure what to include or need inspiration, look at other people's portfolios to see what projects they have featured.

5. Practice Presenting Your Findings

While focusing on technical skills is crucial in data analysis, don't overlook the importance of communication skills. A significant aspect of being a data analyst is conveying your findings effectively to decision-makers and other stakeholders in the company. Being able to tell a compelling story with data can help your organization make informed decisions based on data-driven insights.

As you work on projects for your portfolio, practice presenting your findings. Consider the following tips:

  • Craft Your Message: Think about the key message you want to convey and how you'll use visuals to support it.

  • Practice Delivery: Speak slowly and clearly, making eye contact with your audience.

  • Feedback Loop: Practice in front of a mirror or with peers/classmates. You can also record yourself presenting and review the recording to identify areas for improvement.

By practicing your presentation skills, you'll become more confident and effective in conveying your data-driven insights to others.

6. Get an Entry-Level Data Analyst Job

After gaining experience in working with data and presenting your findings, it's time to refine your resume and start applying for entry-level data analyst positions. Don't hesitate to apply for roles even if you don't meet every qualification listed. Your skills, portfolio, and enthusiasm for the role are often more important than ticking every box on the qualifications list.

As you gain more experience through education or job roles, your pay is likely to increase. For instance, data analysts in India typically earn an average annual salary ranging from ₹4L to ₹9L, while senior data analysts can earn between ₹7L to ₹18L per year, based on Glassdoor data as of June 2023.

7. Gain certifications

Earning a certification can help you stand out to employers. Certification will demonstrate that you have the necessary skills to work on the job. Consider pursuing certifications relevant to data analysis, such as:

  • Certified Analytics Professional (CAP)

  • Microsoft Certified: Data Analyst Associate

  • Google Data Analytics Professional Certificate

  • Cloudera Certified Associate (CCA) Data Analyst

  • SAS Certified Data Scientist

Additionally, if you're looking for a reputable Data analyst institute in Mumbai to obtain your Data Analyst certification, consider Develearn, a leading provider of Data analyst certification courses in Mumbai. Our comprehensive training program provides you with the skills and knowledge required to excel in the field of data analysis.

How to become a data analyst without a degree?

Becoming a data analyst without a degree is possible, as employers prioritize skills over formal education in this field. If you lack a degree, focus on acquiring relevant skills through coursework and practical experience to showcase your capabilities. Enhance your portfolio with high-quality projects that demonstrate your proficiency. Additionally, earning a Professional Certificate from a reputable institution can bolster your credibility and demonstrate to employers that you have the necessary training for the role, even if you don't have a degree.

Enroll - Data Analyst Course in Mumbai

How to become a data analyst without experience?

Gaining experience as a data analyst without prior professional experience is achievable. While employers often prefer candidates with experience, you can start building your experience independently. Data is abundant and accessible, allowing you to practice and enhance your skills.

If you're transitioning from another field to data analysis, start by working with data and creating projects to add to your portfolio. Many degree programs, certificate courses, and online classes offer hands-on projects with real datasets, providing valuable project experience. Additionally, you can explore free datasets available online or collect your own data to gain experience in data collection, cleaning, analysis, and visualization.

Take your first steps

As data applications in many industries continue to expand, the need for professionals who can work with this data is rising. Whether you have a background in data or are entering a new career, showcasing your data analytics skills through a Professional Certification like, consider enrolling in a Data Analyst certification course in Mumbai offered by Develearn. We provide Data analyst course both offline and online training options, allowing you to choose a format that suits your learning preferences. Moreover, we offer a Data analyst course in Mumbai with placement assistance, ensuring that you have support in securing a job after completing the course. 

Enroll Now! - Data Analyst Course in Mumbai