Data analytics is quickly becoming one of the most sought-after careers in the world. With so many employment openings and chances, pursuing data analytics courses after 12th standard or high school is the perfect choice if you are sure that you want to develop a career in that field. Students who want to be data analysts must understand how to become data analysts and what data analysts do. We will be covering the top Data Analytics Courses After 12th here today. But before that, an aspirant should first understand that data analytics is a subset of data science, so understanding data science is critical to understanding data analytics and taking up the appropriate course.
To work as a Data Analyst, you must have strong data analysis abilities as well as the capacity to extract insights from huge data sets and you must look for data analytics courses after the 12th that will help you gain the required skills.
Data analytics is a field filled with promise, as corporations across all industries have made significant investments in big data, establishing analytics departments, particularly in telecommunications, insurance, advertising, financial services, healthcare, and technology.
That growth is projected to continue in the future, since industries that have been slow to adopt big data analytics, such as education, government, and industry, have committed to boosting their big data analytics activity in the future.
Who is a Data Analyst?
To make key business decisions, all firms rely on relevant data and indicators. It doesn’t matter if it’s monthly website traffic, product sales, logistical expenditures, or revenue generating. A Data Analyst is someone who organizes, interprets, and delivers insights into company data to support informed business success. In other words, a data analyst converts numerical data into plain English for managers and executives to use in leveraging company processes, such as cost reduction.
Despite popular assumptions, a job in this industry can be both creative and hard. As a Data Analyst, you will do much more than just work with statistics and maths all day.
A good analogy for a data analyst is a detective who examines information, explores clues, trends, and patterns, and draws applicable conclusions to solve a case. Similarly, data analysts work inside an organizational structure, assessing significant business figures and presenting the results in engaging ways using graphics, charts, content, and other means.
Why Should You Pursue Data Analytics Courses After the 12th?
As data becomes the most important commodity for enterprises worldwide, it is only prudent to enroll in a data analytics course in India. The most crucial advantage of data analytics courses after the 12th is that you can begin a career in data analytics at a very initial stage in your career path which can lead to successful career growth.
Business analytics courses will also improve a candidate’s knowledge of data analytics by assisting them in better comprehending the area. Before delving into the requirements, consider the following advantages of enrolling in data analytics courses after the 12th:
- There are numerous job opportunities available in the domain. Thousands of open vacancies are just waiting for skilled applicants to fill them.
- A data analyst’s compensation is much higher than that of an IT professional. There are various domains within data analytics that might be excellent options for career and salary advancement.
- A fascinating and demanding work environment with a good work-life balance
- A high-class way of life
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Required Qualifications
Pursuing a profession in data science and analysis necessitates being good with numbers, but it is not limited to that. To deal with complicated corporate data and extract relevant insights, you will need a combination of technical and strategic thinking skills. Before you start looking for data analytics courses after the 12th, you must know about the qualifications and skills required for them.
Microsoft Excel
Working with spreadsheet programs such as Google Sheets and Microsoft Excel is a must-have ability when dealing with company data. Advanced Excel skills, such as experience with Macros, VBA, and so on, will help you organize, interpret, and manage business KPIs as a data analyst, in addition to being a time-saving asset.
SQL
Have you ever pondered who recommends your favorite products on online marketplaces? It’s a SQL guru. SQL is a database management technology that lies at the heart of Big Data organizations. A data analyst can use SQL to draw inferences about company data in a variety of ways.
Statistical Programming
Knowing programming languages like R and Python will help you advance as a data analyst. They accelerate data analysis by ten times as compared to Excel and SQL, and they allow for the administration of complicated or huge data sets.
Data Visualization
As a data analyst, unless you can create a story about how data may help a business flourish, your results will have little influence. A data analyst with data visualization abilities will be able to communicate his or her findings to stakeholders so they make educated judgments.
Critical Thinking
Contemporary business challenges necessitate contemporary answers. To pursue a profession as a data analyst, you must be able to think from numerous viewpoints and synthesize latent relationships.
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4 Steps to Follow to Become a Data Analyst
Step 1: Master the Fundamentals
Before embarking on a career as a data analyst, it is critical to becoming acquainted with fundamental theories, tools, and best practices for dealing with huge amounts of data. You can accomplish so by taking online Data Analysis introduction courses, practicing with data analysis tools, and investing in essential skills such as spreadsheet tools, and mathematical and statistical efficiency. Additionally, engage in developing problem-solving, critical thinking, and soft skills.
Step 2: Enroll in a Course in Structured Data Science and Analysis
Enrolling in a well-structured degree program in Data analytics is the next step in your quest to become a data analyst. This will expose you to a polished curriculum as well as experienced mentoring from specialists.
Step 3: Develop Contacts with Industry Professionals
The next stage is to get your foot in the door as a professional data analyst once you have the requisite skill set and competence. Connect with fellow students, industry professionals, and mentors to build a relevant network of data analysts and obtain a career opportunity.
Step 4: Get Your First Data Analyst Internship/Job
Finally, an internship or full-time position as a data analyst in a reputable company will qualify you as a professional data analyst. As a data analyst, you can take advantage of possibilities to enhance your career by working on intriguing analytics projects.
How to Become a Data Analyst After Completing 12th
Some of the critical procedures for becoming a Data Analyst after passing the Class 12th board examinations are listed here for your convenience.
At the undergraduate level, students interested in becoming data analysts should first focus on passing the entrance exam and enrolling in a bachelor’s degree program.
It could be a B.E. or B.Tech. program. Candidates may also pursue alternate courses such as a BCA, BSc in Computer Science, BSc in Mathematics, and so on.
Candidates should concentrate on establishing a thorough understanding of many areas such as statistics, trends, pattern analysis, and so on during their undergraduate studies.
Candidates should strive to maintain an average CGPA of 7.5 or an overall score of 65% throughout their UG degree.
Candidates interested in pursuing postgraduate studies should begin preparing for the GATE exam.
Post-Graduation Preparation
After completing the UG program, individuals can apply for admission by sitting the GATE exam.
Candidates should put in considerably more work for the GATE exam because only 15-20% of candidates pass the entrance exam each year.
Candidates must select a specialization based on their strengths and preferences.
Several universities collaborate with various corporate companies to offer internships, which provide students with real-world experience.
After completing the PG course, individuals can apply for Ph.D. programs and continue their research.
Course Fee – Data Analytics course Fee can be anywhere from 1lakh to 3 lakhs or sometimes more depending upon the reputation of the institute and the curriculum structure.
Duration- The duration of courses can be from 6 months to 2 years. It is subject to the course you are enrolling in. Diploma Courses will take a shorter time period to complete.
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Points to Keep in Mind Before Enrolling in Data Analytics Courses After 12th
Both online courses and certifications will aid you on your way to becoming a data analyst. Choose a course that corresponds to your current level of expertise in the topic. Choose a starter program that will teach you all the fundamentals if you’re just getting started. As you advance as a data analyst, you can select certifications that focus on certain technologies or techniques for data analysis.
For an aspiring data analyst, not all data analytics certifications are equal. There’s a lot to think about before committing your time and work to a specific certification program to advance your career.
When making your decision, don’t forget to consider details outside of the course syllabus. Here are some considerations:
Course Instructor
Always check an instructor’s qualifications to ensure that they have both expertise as a data analyst and teaching it to others.
Structure of the Course
You should select a course structure that is appropriate for your learning style. Some courses supply learners with learning materials, and they are free to complete those videos in whatever way they see fit. Other courses are more intensive, with one-on-one work with mentors and peers. Take some time to consider what type of construction would best fit your needs.
Course Evaluations
Most popular courses have numerous online reviews. Check out these reviews to learn what past students thought of the course. Some elements are simply impossible to deduce from a description and syllabus, and reviews can help fill in the blanks.
Reputation in the Industry
Some certifications and courses are considered industry standards and will demonstrate to a recruiter that you are knowledgeable in a specific field. Avoid being a trailblazer by enrolling in courses with strong student ratings and recommendations. Additionally, ensure that the certificate is recognized in your current region.
Course Support
Self-learning still necessitates the advice and support of knowledgeable teachers and passionate peers. Instead of static learning materials, look for courses that feature a community of dedicated learners and professors.
Jobs & Earning Potential
A certificate in data analytics equips you with several well-paying jobs. For example, with just a few years of experience, you could become a data engineer and earn a six-figure salary. Another alternative is to work in marketing as a marketing analyst.
If you are looking for career options and want to pursue data analytics courses after the 12th, you must be having few questions regarding the same. Let’s address some of the common questions regarding pursuing data analytics courses after the 12th.
Job Description for a Data Analyst
A typical data analyst job description may include the following characteristics, education, and experience requirements:
Nature of Collaboration and Leadership Capabilities
Focus is essential for success in data analytics. Each organization should have a thorough understanding of its objectives and how data analysis might help them achieve them. Data analysts collaborate with IT, leadership, and data scientists to get the answers they need in the data.
Expertise in Programming Languages
Every job posting requires knowledge of a few programming languages, analytics tools, and database languages, such as Microsoft Excel, SQL, R, and Python.
Analytics Knowledge
A data analyst uses statistical methods to assess data, identify important patterns or trends, and do predictive analysis. They must also recognize relationships within the dataset and understand what each relationship may entail.
Upkeep of Databases
To help their team, a data analyst will rectify any coding errors, track any patterns or trends, and eliminate any useless material.
Frequently Asked Questions
Q1. What is the scope of data analytics after taking up data analytics courses after 12th?
One of the world’s fastest-growing industries is artificial intelligence, data science, and data analytics. According to research, data scientists and machine learning engineers are among the most successful careers of this decade, with good pay and numerous chances.
Students who pursue data analytics courses after 12th can work as Data Analysis Managers, Data Analysts, Data Administrators, and Data Architects, among other professions.
As you pursue specialized advanced learning in data analytics, diploma, and Ph.D. data scientific fields, you seek improved job opportunities or increase your pay scale.
A diploma in data science is an apprenticeship that allows you to enter the field without having to complete a full-time degree program.
You may nearly always enroll in big data degree training to improve your current skills or learn new ones, which will allow you to find additional job opportunities.
Q2. Can a commerce student study data analytics?
If you are a commerce student, you may wonder, “Can I pursue data analytics courses after 12th being a commerce student without math?” “Yes,” is the answer.
As a business student, you will be unfamiliar with fundamental computer engineering courses such as computer programming, data structure, algorithm, database administration, and querying, among others. You must learn them on your own and obtain professional certification.
Take some programming language courses, such as python for data science, java, sclera, and so on. Earn a certification that will help you receive an interview call.
Complete professional instruction in SQL, Apache Spark, MySQL, MongoDB, and other databases.
Your academic background in economics, business analysis, and management is extremely valuable in data engineering.
It is preferable to include professional certification in data engineering courses in your resume. Various IT training institutes provide a wide range of courses. Get your education from a reputable institution.
As a commerce student, finding an entry-level first job in data engineering will be difficult. However, after you have your first job, the road will be clearer.
A business student takes a new route to become a data analyst. It is impossible to say if the journey will be easy or tough; it all depends on your skills and capabilities to learn the abilities. Because you are unfamiliar with computer science courses, it may appear more difficult at first. Database architecture and maintenance, as well as programming languages and shell scripting, may appear difficult. However, your business knowledge, analytical ability, and economics knowledge will greatly assist you in learning the contents of the data analytics course easily while pursuing data analytics courses after the 12th and which in turn will help in growing as a data analyst for a company.
To get started and develop the necessary competence, start by enrolling in data analytics courses after the 12th that will assist you in becoming skilled in a thorough manner.
Q3. Which skills are required to be a data analyst?
Data Analysis Using Mathematics
Data analysis is a quantitative method for gaining business insights. To succeed at the work, you must have a solid foundation in mathematics. To work as a data analyst, you must have a strong understanding of statistics and probability. Expert data analysts typically study discrete mathematics, algebra, and calculus as well.
Expertise in Programming
In a computing context, programming allows you to use your math skills in a scalable manner. R and Python are the leading two open-source programming languages used to provide predictive analytics. Both are dynamic apps that are constantly updated with new features. These functionalities help with data mining, engineering, application development, and other tasks. At least one of these languages should be known to a data analyst. You will learn these skills while pursuing data analytics courses after the 12th.
Data Mining & Cleaning
Data is required for data analysis. Data mining is the process of locating the appropriate data for the task at hand. When you go to get this data, you’ll see that it’s not immediately usable. Data cleaning is the act of fixing flaws in the data that you’ve sourced, such as duplicates, damaged data, and incomplete entries.
Warehousing of Data
A data warehouse is a consolidated collection of information gathered from numerous sources. Because all your data will be housed in the warehouse, it is critical to the data analysis process. It also enables data to be quickly analyzed and mined for business insights.
SQL and Microsoft Excel
Microsoft Excel is a popular starting point for any data analyst. It is a prerequisite for becoming an analyst and is the starting point for comprehending data technology. Furthermore, it is a lightweight and quick analytics tool. SQL is Microsoft Excel’s older sibling. It communicates with and updates a database, as well as retrieves and manipulates data.
Visualization of Data
A skilled data analyst must be able to communicate effectively with their target audience. Solving difficulties with a data set requires written communication, presenting abilities, and overall communication skills. An analyst must be able to convey a story with their data by producing relational databases, visuals, presentations, or reports.
Analytical and Creative Thinking
While math and programming are required for data analysts, originality in analysis sets you different. A data analyst must think creatively about where data comes from, what patterns could emerge from datasets, and whether business challenges might be solved using data analysis. All competent data analysts can think creatively as well as analytically.
Communication Skills
Data analysts work well in groups. They collaborate with the business intelligence, development, and executive teams to generate insights that can help the company expand. You must be able to convert your data-driven insights into easily digestible reports and intuitive visuals. For all these reasons, data analysts must have strong communication abilities, including both interpersonal and presentation skills.
Final thoughts on data Analytics Courses After 12th
Data is the foundation of all enterprises, from retail, finance, and healthcare to education, government, and even communications. This reliance on data has only grown because of digital transformation. According to an India Today estimate, more than 11 million employment openings in data science and analysis are expected in India by 2026. As a result, it is reasonable to claim that being a data analyst is a job for the future and you must start looking for data analytics courses after the 12thif you are certain about growing your career in this sector.
After you’ve completed your data analysis classes and worked on some real-world projects, it’s time to create a portfolio. A portfolio will consolidate information about your expertise and highlight accomplished projects. Any prior experience in obtaining data, processing it, and addressing business challenges is useful. Here’s how you set together an excellent data analytics portfolio.
Network
Building a network is an important practice for both understanding the industry from insiders and lending opportunities. Speaking with data analysts can help you understand the state of the industry as well as the tools and tactics that are most employed by businesses. You should also network with CTOs and tech recruiters so that you may contact them when you’re looking for work.
Job Applications
When applying for work, your portfolio and resume get you in the door. Create a resume that highlights your data analysis projects and credentials. When interviewing, prepare for technical and career-related questions: What motivates you to work in data analysis? What kinds of problem-solving approaches are you looking for?
Students who pursue data analytics courses after 12th can work as Data Analysis Managers, Data Analysts, Data Administrators, and Data Architects, among other professions.
As you pursue specialized advanced learning in data analytics, diploma, and Ph.D. data scientific fields, you seek improved job opportunities or increase your pay scale.
A diploma in data science is an apprenticeship that allows you to enter the field without having to complete a full-time degree program.
You may nearly always enroll in big data degree training to improve your current skills or learn new ones, which will allow you to find additional job opportunities." } },{ "@type": "Question", "name": "Q2. Can a commerce student study data analytics?", "acceptedAnswer": { "@type": "Answer", "text": "If you are a commerce student, you may wonder, \"Can I pursue data analytics courses after 12th being a commerce student without math?\" \"Yes,\" is the answer.
As a business student, you will be unfamiliar with fundamental computer engineering courses such as computer programming, data structure, algorithm, database administration, and querying, among others. You must learn them on your own and obtain professional certification.
Take some programming language courses, such as python for data science, java, sclera, and so on. Earn a certification that will help you receive an interview call.
Complete professional instruction in SQL, Apache Spark, MySQL, MongoDB, and other databases.
Your academic background in economics, business analysis, and management is extremely valuable in data engineering.
It is preferable to include professional certification in data engineering courses in your resume. Various IT training institutes provide a wide range of courses. Get your education from a reputable institution.
As a commerce student, finding an entry-level first job in data engineering will be difficult. However, after you have your first job, the road will be clearer.
A business student takes a new route to become a data analyst. It is impossible to say if the journey will be easy or tough; it all depends on your skills and capabilities to learn the abilities. Because you are unfamiliar with computer science courses, it may appear more difficult at first. Database architecture and maintenance, as well as programming languages and shell scripting, may appear difficult. However, your business knowledge, analytical ability, and economics knowledge will greatly assist you in learning the contents of the data analytics course easily while pursuing data analytics courses after the 12th and which in turn will help in growing as a data analyst for a company.
To get started and develop the necessary competence, start by enrolling in data analytics courses after the 12th that will assist you in becoming skilled in a thorough manner." } },{ "@type": "Question", "name": "Q3. Which skills are required to be a data analyst?", "acceptedAnswer": { "@type": "Answer", "text": "Data Analysis Using Mathematics
Data analysis is a quantitative method for gaining business insights. To succeed at the work, you must have a solid foundation in mathematics. To work as a data analyst, you must have a strong understanding of statistics and probability. Expert data analysts typically study discrete mathematics, algebra, and calculus as well.
Expertise in Programming
In a computing context, programming allows you to use your math skills in a scalable manner. R and Python are the leading two open-source programming languages used to provide predictive analytics. Both are dynamic apps that are constantly updated with new features. These functionalities help with data mining, engineering, application development, and other tasks. At least one of these languages should be known to a data analyst. You will learn these skills while pursuing data analytics courses after the 12th.
Data Mining & Cleaning
Data is required for data analysis. Data mining is the process of locating the appropriate data for the task at hand. When you go to get this data, you'll see that it's not immediately usable. Data cleaning is the act of fixing flaws in the data that you've sourced, such as duplicates, damaged data, and incomplete entries.
Warehousing of Data
A data warehouse is a consolidated collection of information gathered from numerous sources. Because all your data will be housed in the warehouse, it is critical to the data analysis process. It also enables data to be quickly analyzed and mined for business insights.
SQL and Microsoft Excel
Microsoft Excel is a popular starting point for any data analyst. It is a prerequisite for becoming an analyst and is the starting point for comprehending data technology. Furthermore, it is a lightweight and quick analytics tool. SQL is Microsoft Excel's older sibling. It communicates with and updates a database, as well as retrieves and manipulates data.
Visualization of Data
A skilled data analyst must be able to communicate effectively with their target audience. Solving difficulties with a data set requires written communication, presenting abilities, and overall communication skills. An analyst must be able to convey a story with their data by producing relational databases, visuals, presentations, or reports.
Analytical and Creative Thinking
While math and programming are required for data analysts, originality in analysis sets you different. A data analyst must think creatively about where data comes from, what patterns could emerge from datasets, and whether business challenges might be solved using data analysis. All competent data analysts can think creatively as well as analytically.
Communication Skills
Data analysts work well in groups. They collaborate with the business intelligence, development, and executive teams to generate insights that can help the company expand. You must be able to convert your data-driven insights into easily digestible reports and intuitive visuals. For all these reasons, data analysts must have strong communication abilities, including both interpersonal and presentation skills." } }]}