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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 after 12th? - Fee, Duration & Eligibility Criteria

Learn how to become a data analyst after 12th grade, including fee details, course duration, and eligibility criteria for students and professionals interested in data analytics.

DeveLearn Technologies

3 minutes

May 20, 2024

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Data Analyst Course After 12th With Fee, Duration, And More

Data analytics is becoming highly popular as a career worldwide. Choosing data analyst course after 12th grade or high school can be an excellent decision if you're interested in pursuing a career in this field. Before we dive into the top Data Analytics Course in Mumbai after 12th, it's essential to understand that data analytics is a part of data science. Therefore, having a grasp of data science concepts is crucial for choosing the right course in data analytics.

To excel as a Data Analyst, you need strong data analysis skills and the ability to derive insights from large datasets. Looking for data analyst courses in mumbai after 12th can help you develop these essential skills.

Data analytics is a promising field, with companies in various industries investing heavily in big data and establishing analytics departments. This trend is particularly notable in telecommunications, insurance, advertising, financial services, healthcare, and technology sectors.

The growth of data analytics is expected to continue, as industries like education, government, and manufacturing are also ramping up their big data analytics efforts for the future.

Who is a Data Analyst?

A Data Analyst is a professional who plays a crucial role in helping businesses make informed decisions by analyzing relevant data and indicators. This data could include things like website traffic, product sales, expenses, and revenue. 

The Data Analyst's job involves organizing, interpreting, and presenting insights derived from company data in a way that supports business success. 

They translate complex numerical data into understandable language for managers and executives to use in improving processes and making strategic decisions, such as reducing costs.

Contrary to common beliefs, being a Data Analyst involves both creativity and analytical skills. It's not just about working with numbers and math all day.

A Data Analyst can be compared to a detective who investigates information, uncovers clues, identifies trends and patterns, and draws meaningful conclusions to solve a case. Similarly, data analysts operate within an organizational framework, analyzing important business data and presenting their findings in visually appealing ways using graphics, charts, text, and other tools.

Why Should You Pursue Data Analyst Course After the 12th?

Enrolling in data analytics training course after the 12th can be highly beneficial for several reasons. Firstly, with data emerging as a crucial asset for businesses globally, it is only prudent to enroll in a data analyst course in Mumbai, India. One of the key advantages of such courses is the opportunity to kickstart a career in data analytics early on, paving the way for successful career growth. Business analytics courses further enhance understanding in this field, enabling candidates to grasp data analytics concepts more effectively. 

Before diving into the specific requirements of these courses, it's crucial to consider the following advantages:

  • The domain of data analytics offers a multitude of job opportunities, with thousands of vacancies waiting for skilled individuals to fill them.

  • Data analysts often receive higher compensation compared to IT professionals, making it an attractive career choice.

  • Within data analytics, there are various domains and specialties that offer excellent options for career advancement and salary growth.

  • Working as a data analyst provides a fascinating and demanding work environment, often with a good work-life balance.

  • A career in data analytics can lead to a high-class way of life, with opportunities for professional development and personal fulfillment.

Data Analyst Course Eligibility Criteria

Starting a career in data science and analysis requires more than just being good with numbers; it involves a mix of technical proficiency and strategic thinking. Extracting meaningful insights from complex corporate data demands a range of skills. Before exploring data analytics courses after the 12th, it's crucial to understand the qualifications and skills required for this field.

Microsoft Excel

Using spreadsheet programs like Google Sheets and Microsoft Excel is essential for working with company data. Advanced Excel skills, such as familiarity with Macros and VBA, are particularly valuable for organizing and interpreting business KPIs efficiently.


SQL, a database management technology, plays a crucial role in drawing insights from large datasets, making it indispensable for data analysts working with Big Data organizations.

Statistical Programming

Statistical programming languages like R and Python are also highly beneficial for data analysts. They significantly speed up data analysis compared to Excel and SQL, particularly when dealing with complex or massive datasets.

Data Visualization

Data visualization is another key skill for data analysts. Being able to create compelling visual representations of data helps in communicating findings effectively to stakeholders, enabling informed decision-making for business growth.

Critical Thinking

To excel as a data analyst, critical thinking is essential. Modern business challenges require innovative solutions, and as a data analyst, you must be able to analyze problems from multiple perspectives and identify hidden relationships within data.

Steps to Follow to Become a Data Analyst

Step 1: Master the Fundamentals Start by familiarizing yourself with fundamental theories, tools, and best practices for handling large amounts of data. Take online Data Analysis introduction courses, practice with data analysis tools, and develop essential skills such as spreadsheet tools, mathematical efficiency, and statistical knowledge. Also, work on improving problem-solving, critical thinking, and soft skills.

Step 2: Enroll in a Structured Data Science and Analysis Course Next, enroll in a well-structured degree program or course in Data analytics. This will provide you with a comprehensive curriculum and valuable mentoring from industry specialists.

Step 3: Build a Network with Industry Professionals Connect with fellow students, industry professionals, and mentors to build a relevant network of data analysts. Networking can help you gain insights, advice, and potential career opportunities.

Step 4: Secure Your First Data Analyst Internship/Job Gain practical experience by securing an internship or full-time position as a data analyst in a reputable company. This will qualify you as a professional data analyst and provide opportunities to work on engaging analytics projects to further enhance your career.

How to Become a Data Analyst After Completing 12th 

To become a Data Analyst after completing the 12th grade, follow these critical steps:

  1. Undergraduate Education: Focus on passing entrance exams and enrolling in a bachelor's degree program. Options include B.E. or B.Tech. programs in fields like Computer Science, Mathematics, or related disciplines. Alternatively, you can pursue courses like BCA (Bachelor of Computer Applications) or BSc in Computer Science or Mathematics.

  2. Specialized Courses: Consider taking specialized courses related to data analysis during your undergraduate studies. This could include courses in statistics, data science, programming languages like Python or R, database management, and data visualization.

  3. Internships and Projects: Gain practical experience through internships or projects related to data analysis. This will help you apply your theoretical knowledge in real-world scenarios and build a portfolio of work that showcases your skills.

  4. Certifications: Consider obtaining certifications in data analysis or related areas to enhance your credentials and demonstrate your expertise to potential employers.

  5. Continuous Learning: Stay updated with the latest trends and technologies in data analysis through continuous learning and professional development. Attend workshops, webinars, and networking events to expand your knowledge and stay competitive in the field.

You can also consider enrolling in data analyst course in Mumbai offered by Develearn Institute, known for providing quality training in data analytics. Our courses can further enhance your skills and knowledge in data analysis, preparing you for a successful career in this field.

Candidates aspiring to become Data Analysts should focus on developing a strong foundation in various areas such as statistics, trend analysis, pattern recognition, and more during their undergraduate studies. It's crucial to maintain a good academic record, aiming for an average CGPA of 7.5 or an overall score of 65% throughout their undergraduate degree.

For candidates interested in pursuing postgraduate studies, it's recommended to start preparing for the GATE exam. GATE (Graduate Aptitude Test in Engineering) is an entrance exam for admission to postgraduate programs in engineering and technology fields, including data analytics-related disciplines. Preparing for and performing well in the GATE exam can open up opportunities for advanced studies and specialization in data analytics.

Post-Graduation Preparation:

After completing the undergraduate program, individuals can prepare for postgraduate studies by appearing for the GATE exam.

Candidates should dedicate significant effort to prepare for the GATE exam, as the pass rate is typically low, around 15-20% each year.

It's important for candidates to choose a specialization based on their strengths and interests.

Many universities collaborate with corporate companies to offer internships, providing students with valuable real-world experience.

Upon completing the postgraduate course, individuals can consider applying for Ph.D. programs to further their research in the field.

Data Analyst Course in Mumbai Fees and Duration:

The fees for Data Analytics courses in Mumbai can range from 1 lakh to 3 lakhs or more, depending on the institute's reputation and curriculum structure.

The duration of courses varies from 6 months to 2 years, depending on the specific course. Diploma courses generally have a shorter duration compared to degree programs.

Points to Keep in Mind Before Enrolling in Data Analytics Courses After 12th

Choose a course that aligns with your current level of expertise in data analytics. Beginners should opt for fundamental starter programs, while more experienced individuals can focus on certifications for advanced techniques. 

Both online courses and certifications can be beneficial for becoming a data analyst. Evaluate the content, format, and credibility of the course or certification before enrolling.

Not all data analytics certifications are equal. Research and compare certification programs to ensure they offer valuable skills, recognition in the industry, and align with your career goals.

Evaluate Instructor Qualifications:

Check the qualifications and experience of the instructors. A knowledgeable and experienced instructor can significantly impact your learning experience and understanding of data analytics concepts.

Course Structure:

Consider the course structure, including the learning materials, delivery method (self-paced vs. instructor-led), interactive components, and support resources. Choose a structure that suits your learning style and preferences.

Read Course Reviews:

Take time to read reviews from past students to understand their experiences, feedback on the course content, teaching methods, and overall satisfaction. Course reviews can provide valuable insights beyond the course syllabus.

Reputation in the Industry: 

Look for certifications and courses that are recognized as industry standards. These credentials will demonstrate your expertise and knowledge to potential employers. Check for strong student ratings and recommendations to ensure the course has a good reputation. Also, verify that the certificate is recognized in your region or industry.

Course Support: 

Seek courses that offer comprehensive support, including access to knowledgeable teachers and an active community of learners. Interactive learning environments with opportunities for discussions and feedback can enhance your learning experience.

Jobs & Earning Potential: 

Research the job opportunities and earning potential in the field of data analytics. A data analytics certification can open doors to well-paying jobs such as data engineer or marketing analyst. Consider your career goals and choose a course that aligns with your desired job roles and salary expectations.

Job Description for a Data Analyst:

Nature of Collaboration and Leadership Capabilities: 

Data analysts play a crucial role in understanding organizational objectives and utilizing data analysis to achieve them. They collaborate with IT teams, leadership, and data scientists to extract valuable insights from data.

Expertise in Programming Languages:

A data analyst must possess proficiency in programming languages and analytics tools such as Microsoft Excel, SQL, R, and Python. These skills enable them to manipulate and analyze data effectively.

Analytics Knowledge: 

Data analysts use statistical methods to analyze data, identify patterns, trends, and conduct predictive analysis. They must have a deep understanding of data relationships and their implications for decision-making.

Database Maintenance: 

Data analysts are responsible for maintaining databases, including error correction, tracking patterns, trends, and removing irrelevant data to ensure data integrity and accuracy.

Best Data Analyst Course in Mumbai – DeveLearn Institute

We offers best Data Analyst Course in Mumbai with a comprehensive curriculum covering statistical analysis, data visualization, machine learning, and database management. Students gain hands-on experience through industry-relevant projects, guided by expert faculty members who provide personalized mentorship. The institute also provides placement assistance, mock interviews, and modern infrastructure, making it an excellent choice for aspiring data analysts looking for quality training and career opportunities in Mumbai.

Our Course Curriculum 

Advanced Excel 

The Advanced Excel course teaches advanced formulas, functions, data visualization, Pivot tables, and charts, enhancing Excel skills for better data handling and analysis in professional roles.

  • Data Cleaning and Preparation

  • Formulas and Functions

  • Pivot tables and Pivot charts

  • Data Analysis Tools

  • Power Query

  • Data Analysis and Power Pivot

  • Advanced Charting and Visualization

  • Macros and VBA

  • Data Annalysis with What If Analysis

  • Reporting and Dashboards


This Python course is tailored for data analysts to utilize Python's power for data manipulation, exploration, visualization, and analysis, equipping them with essential skills and libraries for data-driven decision-making.

  • Python Programming Language

  • Data Manipulation Libraries

  • Data Visualization Libraries

  • Jupyter Notebooks

  • Data Cleaning and Preprocessing

  • SQL Integration

  • Statistical Analysis

  • Data Analysis Workflow

  • Web Scraping

  • NumPy


The SQL course offers a comprehensive understanding of SQL, a fundamental skill for data management and querying relational databases, making it an excellent starting point for beginners.

  • SQL Basics

  • Data Manipulation

  • Data Aggregation and Grouping

  • Data Joins and Relationships

  • Subqueries and Derived Tables

  • Data Cleaning and Preparation

  • Window Functions (Analytical Functions)

  • Time Series Analysis

  • Pivoting and Unpivoting Data

  • Data Visualization with SQL

Tableau/Power BI

This course teaches users how to use Tableau and Power BI to create interactive dashboards, charts, and reports, enhancing their data storytelling skills.d data visualization tools. Data analysts play a crucial role in transforming raw data into meaningful insights, and this course aims to equip them with the skills to create impactful visualizations that facilitate data-driven decision-making. Participants will learn to extract, clean, and visualize data effectively, enabling them to communicate complex information visually and intuitively.

  • Data Connection and Data Source

  • Data Transformation and Data Modeling

  • Data Visualization Basics

  • Creating Basic Visualizations

  • Interactive Dashboards

  • Advanced Visualizations

  • Calculated Fields and Expressions

  • Table Calculations

  • Time Series Analysis

  • Level of Detail (LOD) Expressions

Eligibility Criteria

Anyone who is a fresher, undergraduate, graduate, postgraduate, or an experienced professional from any professional background can enroll in the Data analyst course in Mumbai. It is suitable for beginners as well as experienced individuals at any level.