How To Become A Data Scientist After 12th

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Have You Ever Wondered How Netflix, Spotify, and Amazon Prime Video recommended movies and music?

The recommendation systems used by Netflix, Spotify, and Amazon Prime Video are because of data science algorithms. These algorithms analyze large amounts of user data to generate personalized recommendations.

These platforms continuously collect and analyze user data to enhance the accuracy of their recommendations, ensuring that users receive content they are likely to enjoy.

So to handle this large amount of data, data science uses special techniques and tools to analyze and find meaningful patterns in all this data. These patterns can be very helpful in making decisions and forming strategies. According to me, data science is one of the best fields to pursue a career today.

Data scientists come from various educational backgrounds, but most have a technical background. Data science degrees typically include computer-related , math, and statistics. Some data scientists also receive training in business or human behavior, which helps them make more accurate conclusions.

Data science has countless applications due to the abundance of data available. To learn more about this field, it’s important to explore the answers of the following…

What do data scientists do?
What skills do Data Scientists have?
How to become a data scientist after 12th?

Find out the answers and get started on your data scientist journey

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What is Data Science ?

As discussed earlier, Data Science focuses on extracting insights from data. It involves using various techniques, tools, and programming languages to analyze & understand large amounts of data. Data scientists work with data to find patterns, trends, and valuable information. This information helps solve problems, make better decisions, and predict future outcomes.

In simpler terms, data science is like being a detective for data. Data scientists gather, clean, and examine data to uncover hidden patterns or answers to questions. It uses statistical methods and machine learning algorithms to solve the data. Data science has applications in various fields…

business
healthcare
finance
technology

It helps businesses understand customer behavior, develop personalized recommendations, improve operations, and much more.

Overall, data science is all about turning mountains of raw data into gold. We can use these golden insights to make informed decisions and solve real-world problems.

Begin by exploring what data science is all about. Understand its applications, the types of problems it solves, and its importance in various industries. This blog will provide you with the basic knowledge on how to become a data scientist and start your journey in this field.

Also Read : What is Data Science

How to become a data scientist after 12th – Eligibility Criteria

1. You must first earn a bachelor’s degree

To pursue a data science career after 12th, it is generally required to have a diploma, bachelor’s, or master’s degree. The preferred fields of study are…

Maths
Computer Science
Engineering
Statistics
Data Science
or related subjects

2. Learn Programming Languages

The Bachelor’s degree programs give you knowledge about data science to some extent. But learning some programming languages like Python, SQL, R, etc. is also essential. These are more practical approaches to this field. These languages are essential for working with large sets of data. By becoming familiar with these languages, you will be better able to handle real-world data science projects.

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3. Gain Knowledge Of Data Visualization & Data Analysis Tools

As previously discussed, learning languages is important. But many industries use tools for data analysis and visualization these days. So, you’ll need to learn these tools as well, for example, Tableau & Power BI. These tools help in effectively analyzing and presenting data. Having a good knowledge of these tools and techniques will greatly enhance a Data Scientist’s skills to extract meaningful information from data.

4. Data Science Professional Courses

There are several ways to get into data science now. The first of them is the professional data science course.There are many great courses available these days. These courses give proper specialized training and hands-on experience to the students. They equip students with enough skills to survive and excel in this rapidly growing field.

These data science courses cover the following:

Data analysis: Python libraries like NumPy and Pandas
Machine learning libraries like Sklearn
Programming languages – Python, SQL, R, etc.
Data visualization – Python libraries like Matplotlib and Seaborn and tools like Tableau and Power BI

These Data Science courses are designed to provide hands-on experience and practical skills. Candidates gain experience by working on real-world projects and building a strong portfolio.

Also after completing data science course you will go through mock interviews, interview preparation, CV Preparation, profile enhancement and you will get a Data Science course completion certificate.

What Skills Required To Become a Data Scientist

Following are the main skills required to become a successful data scientist

Gain Database Knowledge : Gain strong understanding of database knowledge such as MySQL, Oracle SQL database and Microsoft SQL Server.

Statistical Analysis : Data scientists need a solid foundation in statistics to understand data distributions, hypothesis testing, regression analysis, and other statistical concepts. This knowledge helps in making informed decisions and drawing meaningful insights from data.

Machine Learning:- You should have the basic knowledge of machine learning algorithms & techniques. These techniques are used in developing predictive models, clustering data, and performing classification tasks. Understanding the flow of training models, evaluation, and optimization is also essential.

Data Visualization: Improving your data visualization skills is important if you want to present complex information in an attractive and simple to understand. Proficiency in tools like Matplotlib, Tableau, or Power BI allows data scientists to communicate insights effectively to stakeholders.

Problem-Solving and Analytical Thinking: Data scientists need strong problem-solving skills to tackle complex data challenges. They should be able to break down problems, develop hypotheses, and use analytical thinking to find innovative solutions.

Communication Skills: Data scientists should be able to effectively communicate their findings and insights to both technical and non-technical stakeholders. Strong written and verbal communication skills facilitate collaboration and enable data-driven decision-making.

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FAQs

How do I start becoming a data scientist?

To start your journey as a data scientist, follow this path…

Get the basic idea of math, statistics, and programming.
Familiarize yourself with important tools like Python, R, and SQL.
Take online / classroom courses and join workshops to gain hands-on experience.
Work on personal projects to apply what you’ve learned and build a portfolio.
Stay updated with the latest trends by participating in data science communities and attending conferences.
Keep practicing, stay curious, and never stop learning. With dedication, you can become a data scientist and explore exciting opportunities in this field.

What are the qualifications needed to become a data scientist?

A bachelor’s degree in a related discipline is the sole requirement for a Data Scientist. Really, that’s all! Everything else you need is your knowledge that you’ll gain through courses. Also, relevant fields for data science are – mathematics, statistics, computer science, or engineering.

Can a 12th pass become a data scientist?

While it is not common, it is possible for a 12th pass individual to become a data scientist with additional education and training. To pursue a career in data science, it is recommended to continue studying and gain a higher education degree or relevant certifications. Also, as previously said, a solid foundation in math, statistics, and programming is essential.

What is the salary of a data scientist after 12th?

The salary of a data scientist is influenced by their experience level.

Freshers can anticipate a starting salary ranging from INR 4 LPA to 6 LPA (Indian Rupees per annum)
Professionals with 5 to 9 years of experience can expect a salary in the range of INR 6 LPA to 8 LPA.

These figures can vary based on factors like location, industry, and the specific skills & qualifications of the person. Continuous learning, acquiring specialized knowledge, and staying updated with industry trends can contribute to higher salary prospects in the field of data science.

Which degree is best for becoming a data scientist?

Multiple degrees are beneficial for data science.

Bachelor’s degree in

Data Science
Computer Science
Mathematics
Statistics
Any related field

Master’s degree or a PhD in

Data Science
Computer Science
specialized field like Artificial Intelligence

Ultimately, the best degree for data science depends on personal interests, career goals, and the specific skills and knowledge one wants to acquire.

Which institute is best for data science courses in Pune?

Technogeeks is the best place to learn data science. Technogeeks Data Science Course In Pune is designed for both beginners and experienced working professionals.

In data science classes In Pune, you will learn Python Libraries for data science including

(Matplotlib, Seaborn). For data analysis, you will use Python libraries (Numpy, Panda).

You will also use Tableau/Power BI tools for data visualization and analytics.

It covers all the essential topics in data science courses in Pune, such as data aggregation, exploratory data analysis (EDA), Rest API, SQL, CRUD operations, Deep Learning, NLP & more. Hands-on projects in training help you apply your knowledge in the real world.

After you finish the course, you will go through mock interviews and work on your CV to be ready for real interviews.