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Beginner’s Guide to Data Science in 2025

Everything a student needs to know — From Zero to Advanced

Introduction: The Power of Data

Data is transforming every part of our lives. Whether in business, health, education, or entertainment, data science allows us to make smarter decisions and solve real-world problems. In 2025, learning data science is not just valuable — it’s essential.

Why Should Students Learn Data Science?

The Four Pillars of Data Science

Skills You Need to Get Started

Structured Learning Roadmap

Months 1–2: Learn the Basics

Months 3–6: Data Handling & SQL

Months 7–9: Machine Learning

Months 10–12: Real Projects & Portfolio

Advanced Topics to Explore

Career Opportunities

Visual Inspiration

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Process

Data Science Process

The data science process involves collecting, cleaning, analyzing, and interpreting data to extract valuable insights. It typically includes steps like data acquisition, preprocessing, exploratory analysis, modeling..

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Roadmap

Data Science Roadmap

The data science roadmap begins with learning Python, statistics, and Excel, libraries like Pandas, NumPy, and SQL for data handling. Next, focus on data visualization, machine learning with scikit-learn.

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Data Science Tools

Data Science Tools

Data science relies on tools like Python and R for programming, SQL for database management, and libraries such as Pandas, NumPy, and Scikit-learn for data manipulation and machine learning.

“Data science is not about the data. It’s about what you do with it.” — Unknown

Result 2025

Must Read What Our Students Says




Class 10 1st Class Topper(Govt. School)

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Prayanshu’s journey at Rising High Computer & Coaching is truly inspiring. In Class 8, he cracked the challenging Buniyad Exam, building a strong foundation for his academic success. His hard work and focus led him to become the school topper in Class 10 and successfully clear the prestigious Super 100 Exam. Beyond academics, Prayanshu actively participated in many competitions, earning awards and recognition for his talent and dedication. With the expert guidance and support from Rising High, Prayanshu’s story shows that determination and perseverance can turn dreams into reality.

Class 10 2nd Class Topper(Govt.School)

forest mist

Deepak’s journey at Rising High Computer & Coaching is a testament to resilience and passion. Cracking the challenging Buniyad Exam in Class 8 was just the beginning of his ascent. In Class 10, he secured the coveted second position in the school, not just through talent but through relentless discipline and an unyielding spirit. What truly sets Deepak apart is his hunger to learn beyond textbooks—he embraced every competition as an opportunity to grow and shine. With the constant encouragement and personalized guidance at Rising High, Deepak is crafting a future defined by determination, growth, and limitless possibilities.

Class 9Th 1st topper

computer

Garima, a proud student of Rising High Computer & Coaching, has consistently topped her class from 6th to 8th grade, demonstrating exceptional dedication and hard work. She successfully cracked the Buniyad Exam, showcasing her strong foundational knowledge. Garima also participated in a district-level competition and earned a certificate for her outstanding performance. Her achievements reflect not only her commitment but also the excellent guidance and support provided by Rising High. With the institute’s quality teaching and nurturing environment, Garima is well-prepared to reach even greater heights in her academic journey.




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ADCA, DFA, Tally, and Web Design are practical computer courses popular in 2025. ADCA builds a strong base in MS Office, basic programming, and internet use. DFA focuses on accounting concepts and software. Tally with GST teaches financial management and tax handling. Web Design blends coding and creativity to build websites.

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Data Science

Most Demanding Course

Data Science is a high-demand field that involves analyzing large datasets to extract insights and support decision-making. Professionals benefit from strong career growth, diverse industry opportunities, and high salaries, often ranging from ₹6–20 LPA in India. Key roles include Data Analyst, Data Scientist, Machine Learning Engineer, and Business Intelligence Developer.

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