Do you find the ability of statistics to make informed decisions and resolve challenging issues fascinating? You're not by yourself. More and more people want to know how to become a data analyst after 12th Grade. The importance of a data analyst has never been greater in our world, which is becoming more and more data-driven.
Data analysts are the hidden heroes behind the scenes who transform raw data into meaningful insights in a variety of industries, including marketing, sports, healthcare, and finance.
Enroll in the Data Analyst courses to get started on your path to becoming a data analyst.
We have described how to become a data analyst in India in these five primary steps that all aspirants must complete to work as a data analyst:
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Learn the fundamentals of data analysis.
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Obtain a certification that attests to these abilities.
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Gain experience as a data analyst by working on a range of projects.
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Compile your work into a portfolio.
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Apply for positions as entry-level data analysts.
We'll examine each of these topics in further detail in this post, providing you with all the information you require to begin your career as a data analyst. If you are struggling with questions like how to become a data analyst with no experience, how to become a data analyst after 12th, or how to become a data analyst without a degree, then keep reading.
Why Choose to Become a Data Analyst?
The number of people looking for information on how to become a data analyst has increased in recent years. Given how much data we produce in the current environment, it is not surprising that the role has grown in popularity.
Businesses across all industries require experts who can gather data, evaluate it, get valuable insights from it, and apply those insights to address important business issues. Therefore, there are several reasons to think about a career in data analysis:
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The demand for data analysts: Data analysts are in high demand, and this trend is unlikely to slow down anytime soon. It is anticipated that employment for operations research analysts would increase by 23% between 2023 and 2033, according to data from the US Bureau of Labor Statistics. This can be the career for you if you're searching for one that will last into the future.
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The Salary: As of November 2024, the average salary in the United States for a data analyst position was $68,104.
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Job Satisfaction: PayScale research shows that data analysts are generally quite satisfied with their careers, giving them an average rating of 3.9 out of 5.
How to Become a Data Analyst in India: Let’s get started.
We've described how to become a data analyst in India from scratch below. Although a lot of information will be pertinent to people who already know some of the basics, a lot of it is predicated on the idea that you are new to the field.
How to become a data analyst after 12th depends on the individual and the amount of time it takes to complete a data analyst course. How to become a data analyst with no experience is easy to understand. Within a few months, even those with limited prior knowledge and experience can become proficient in the skills. Others will need to study for several years.
But, to succeed in the field, you'll need a few things, such as:
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A natural curiosity about data
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Key programming languages and skills
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A portfolio of relevant projects
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A properly written resume
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Compelling profiles on LinkedIn and similar websites
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Networking with other data specialists
Learn the Fundamentals of Data Analysis
Begin by learning the fundamentals of data analysis. To begin, you should become proficient in the principles of statistics, which include measures of centre and spread, probability distributions, and hypothesis testing, among other things. To acquire a sense of gathering and organizing, you may also begin with data analysis in spreadsheets. You can also discover how exploratory data analysis in Power BI and other tools operates.
Select a programming language to become proficient – Since data analysts typically work with a variety of programming languages, there is no right or wrong decision. To query and manipulate databases, you will essentially need to become proficient in SQL. However, you will then need to decide between R and Python as your next programming language.
Develop Your Data Analysis Skills
How to become a data analyst without a degree: Becoming a data analyst doesn't require a degree, but it can be helpful.
How to become a data analyst with no experience – The majority of employers will want to see proof of your data analysis credentials. But you can still apply for a freshers’ position based on your data analyst certification, which doesn’t require prior experience.
How to become a data analyst after 12th: You will need to complete 12th-grade coursework to enroll in a bachelor's degree program in data analysis, such as B.Tech CSE in Data Science. Data analytics certification courses are offered by several institutes, but pursuing this course will cost a significant amount of money and time.
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Qualification Route
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Pros
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Cons
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University Degree
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Comprehensive curriculam
Networking Opportunities
Recognized credential
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TIme-consuming (2-4 Years)
Expensive ($30,000 - $200,000)
May include unrelated courses
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Online Boot camps
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Focused curriculum
Shorter duration (3-6 months)
More affordable
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Less recognized than a degree
Intense pace
Limited networking
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Self-Study (Online Courses)
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Flexible schedule
Wide range of topics
Cost-effective
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Requires self-discipline
Credentials vary by provider
Hands-on experience depends on the course
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Certifications
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Validates specific skills
Quick to complete
Widely recognized
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May require prior experience
Costs can add up
Narrow focus
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Develop Your Skills as a Data Analyst
You will need to begin honing the necessary skills on your own after you have mastered some of them. There are a lot of methods you can use:
Work on own projects – By completing the data analysis projects recommended by your curriculum and engaging in other exercises, you will have plenty of chances to put your newly acquired abilities to use. You can build a strong foundation for your future work experience by honing your abilities and resolving simulated or actual difficulties.
Use free datasets for data analysis projects
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DataLab is an online integrated programming environment (IDE) that comes with datasets already loaded so you may practice your abilities, write code, and analyze data.
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The most well-known website, Kaggle, houses thousands of free datasets on a variety of subjects, including synthetic and real-world subjects.
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Open-source datasets can be found at the UCI Machine Learning Repository. The majority of which are neat, organized, and thoroughly recorded.
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This site offers interactive, data-driven stories on a variety of popular subjects, along with the datasets that were used to create them.
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Similar to a standard Google search, Google Dataset Search is a keyword-based search engine. More than 25 million publicly available datasets are stored there.
Build a Portfolio of Projects for Data Analysts
You ought to be well on your way to becoming a data analyst by now. However, you'll need to have a portfolio of your work to show prospective companies.
You want to showcase your interests and passions in your portfolio. Describe how your abilities have evolved and what areas you are an expert in.
It should be designed to appeal to your readers and showcase both your technical and soft talents. Below are the things you should include in your portfolio.
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Data Cleaning Projects. Demonstrate your ability to get raw data ready for analysis.
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Projects involving exploratory data analysis (EDA). Show off your aptitude for data visualization and summarization.
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Projects involving machine learning or statistical analysis. Demonstrate your ability to infer meaning or forecast outcomes from data. For additional information, see our guide to machine learning projects.
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Projects using business analysis. Demonstrate your comprehension of how company metrics are affected by data-driven decisions.
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Soft skills. Add any reports or presentations you've authored to demonstrate your ability to communicate.
Be sure you have the required skills.
The following are the fundamental technical abilities that employers typically look for in a candidate for a data analyst position:
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Python or R
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SQL
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The command line
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Statistics
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Data cleaning and wrangling
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Data analysis
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Data visualization
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Web scraping
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Debugging
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Data storytelling
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Dealing with unstructured data
Lastly, keep in mind that the following are equally critical soft skills for data analysts:
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Analytical thinking
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Multitasking
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Curiosity
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Creativity
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Communication skills
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Flexibility
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Ability to work both independently and in a team
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Decision making
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Business domain knowledge
Become certified
A data analyst certification is a fantastic approach to demonstrating your abilities. This can show companies that you are capable of providing important information to stakeholders, answering important issues, and effectively visualizing and communicating your findings.
Follow the latest developments in data analytics.
Data analytics is evolving nearly every day, and in 2024, we've observed several fascinating trends influencing the sector:
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AI-powered tools: By automating data preparation, identifying trends, and providing insights more quickly than ever before, AI and machine learning are revolutionizing data analytics.
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Generative AI: Advanced data analysis, including the development of prediction models and the creation of novel data-driven solutions, is made possible by tools such as large language models (LLMs).
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Real-time analytics: To make choices quickly, businesses are depending more and more on real-time data processing, particularly in fields like fraud detection and customer behavior monitoring.
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Self-service analytics: Teams within businesses are now able to make data-driven decisions thanks to augmented analytics tools that make data analysis understandable to non-technical people.
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Pay attention to governance and ethics: As data increases, so does accountability. Organizations are prioritizing data governance and ethical behaviour to preserve privacy and compliance.
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Analytics at the edge: Businesses are cutting down on delays and increasing productivity for time-sensitive applications by analysing data near its source (such as IoT devices).
How to become a data analyst without a degree?
A degree is not always required to work as a data analyst. Because data analysts are in such great demand, companies want to know that you have the skills they need. If you don’t have a degree, focus on taking appropriate classes to enhance your skill set and make your portfolio sparkle with your best work. If you don't have a degree, earning a Professional Certificate from a recognized university will help demonstrate to employers that you have the necessary training for the job.
How to become a data analyst with no experience?
Most businesses would want you to have experience working with data before taking a career as a data analyst. Fortunately, you can begin accumulating experience before you are hired. We are surrounded by data.
Work with data and create your portfolio to gain experience if you're moving from another field to data analysis. Numerous online courses, certificate programs, and degree programs involve practical projects using actual data sets that can provide you with real project experience. Additionally, you can obtain practice gathering, cleaning, analysing, and visualizing actual data by finding free data sets online or by scraping your own.
Why choose KCC Institute of Technology and Management to become a Data Analyst?
KCC ITM is the best place to get started with your career as a data analyst. Our undergraduate B.Tech CSE degree with a focus on Data Science is the perfect solution for how to become a data analyst after 12th. You only need to have a background in science and a minimum percentage of 45% in 12th class to be eligible for the course.
Direct admissions are given under the management quota, yet priorities will be given to those who scored well on an engineering entrance exam like JEE Main. We also provide several short-term certification courses in data analysis to give you an upper hand during interviews. Our placement packages for a data analyst are quite lucrative, owing to our strong ties with tech giants in the Delhi NCR region.