How to Become a Data Scientist?||Intellipaat

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Message Board > How to Become a Data Scientist?||Intellipaat

How to Become a Data Scientist?||Intellipaat

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Guest
Guest
Oct 16, 2025
7:16 AM

Data science is one of the most exciting and high-paying careers in today’s digital world. As companies now focus on data-driven decision-making more than ever, qualified candidates or trained data scientists, machine learning engineers, and AI specialists continue to increase. Companies such as Reliance Jio, TCS, and Amazon India are leveraging generative AI, AutoML, and MLOps to drive innovation, creating multiple opportunities for new data scientists.

Table of Contents

What Is a Data Scientist?
Roadmap to Become a Data Scientist: 8 Steps
Skills Needed to Become a Data Scientist
Data Science in Action: Examples
Conclusion

What Is a Data Scientist?
A data scientist uses statistical, programming, and machine learning techniques to extract insights from data, helping businesses make data-driven decisions. In 2025, data scientists are also working on generative AI models and ethical AI to ensure fairness. Data scientists work on various tasks, from cleaning data to building predictive models that drive companies like Amazon India, TCS, and Zomato. With India’s data science market increasing, this career is perfect for students and professionals wondering how to become a data scientist in India.

Roadmap to Become a Data Scientist: 8 Steps
Step 1: Choose Your Learning Path
Think about how you want to approach learning data science. It can be obtained through a degree in one of the following fields: computer science, statistics, or data science. A formal degree is not a requirement, though; online self-paced courses, bootcamps, and other platforms such as Coursera, Udemy, and Intellipaat offer structured courses that are beginner-friendly and cost-efficient. Ensure that your selected option aligns with your preferences, learning skills, and schedule.

Step 2: Master Data Science Programming Skills
Learn the basic programming languages used in data science: Python and R. Python is the most popular due to its simplicity and powerful libraries, including Pandas, NumPy, Scikit-learn, and TensorFlow. Get used to creating code, solving basic problems, and understanding logic.

Step 3: Get Good at Data Wrangling and EDA
Before you can build models, you need clean data. Learn data cleaning, preprocessing, and exploratory data analysis (EDA). This means handling missing values, outliers, and understanding patterns in data using visual tools like Matplotlib and Seaborn. This step is the foundation of every great data science project and prepares you for tasks like data classification, regression, and clustering.

Step 4: Learn Machine Learning and AI
Learn about ML algorithms such as linear regression, decision trees, and data classification techniques like logistic regression and support vector machines. Once you’ve gained confidence, explore deep learning and artificial intelligence with technologies such as TensorFlow and PyTorch. Begin with small steps and gradually increase your understanding through hands-on practice.

Step 5: Build a Standout Portfolio
The best way to learn is through real-world projects. This could include sentiment analysis, stock prediction, or consumer segmentation. Make sure to publish your work for others to see on platforms such as GitHub, Medium, and LinkedIn. Recruiters are more impressed and interested in candidates who showcase value-adding projects.

Step 6: Earn Data Science Certifications
Certifications help you get credibility. Coursera, edX, Google, IBM, and Intellipaat provide well-known data science certifications. These show employers that you are serious and trained in the necessary skills, particularly if you do not have a formal degree.

Intellipaat
Guest
Oct 16, 2025
7:17 AM

Enroll in Intellipaat’s online Data Science courses and professional certifications to master data analysis, machine learning, and AI techniques, empowering you to make data-driven decisions

https://intellipaat.com/ai-data-science-drishti-iit-indore/

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