Data Science

Most courses accept graduates from any discipline. Having a background in computer science, statistics, or engineering helps, but it is not mandatory. Basic knowledge of mathematics and logical reasoning is useful to keep up with the pace of the program. 

Yes. Many beginner-friendly courses start with teaching Python and SQL from scratch. While coding is essential in data science, you don’t need prior knowledge to enroll. With structured guidance, even non-programmers can build proficiency. 

Yes. Since most coursework involves coding, data analysis, and visualization tools, a laptop with at least 8GB RAM and stable internet is recommended. Higher specifications are useful if you plan to work with deep learning models. 

Yes. Non-technical graduates can enroll if they are willing to learn programming and statistics. Many successful data scientists come from fields like economics, biology, and management after taking structured courses. 

A Data Science course teaches you how to work with data to find useful insights that help in decision-making. It combines concepts from maths, statistics, AI, and computer science to understand and analyze large amounts of data.

To become a Data Scientist, you usually need a bachelor’s degree in a quantitative field such as Computer Science, Mathematics, or Statistics. Some programs also accept students from other streams if they have a good background in mathematics. Key skills include programming (Python, R), statistics, data handling, machine learning, and communication. For entry-level roles or courses, a minimum score of about 50–60% in your 12th grade or undergraduate degree is often required.

You learn via recorded lectures, live sessions, hands-on projects, and mentorship guidance. A majority of data science online courses, along with a data analytics course, also provide career guidance and certifications from prestigious universities.

The duration of a Data Science course depends on the type of program.

• Bachelor’s degree: 3–4 years
• Master’s degree: around 2 years
• Certificate or diploma courses: 6 months to 1 year
• Online or part-time programs: a few months to 2 years

Yes. Most data science courses for beginners emphasize basics such as statistics, Excel, and Python, which makes them suitable for freshers and non-technical backgrounds. A beginner-friendly data analytics course also follows a similar approach.

Yes. The top online courses in data science begin from scratch and incrementally develop your coding and data analysis abilities. Similarly, a data analytics course is structured to help non-coders gradually build their technical skills.

For fundamentals, yes. A 3-month data science course certification can familiarize you with fundamental courses, but complete career shifts might require a 6 to 12-month data science course certification.

First, identify whether you want to become a data analyst, data engineer, or data scientist. Then choose the best data science course or data analytics course that suits your aspirations, budget, and learning speed.

upGrad provides hands-on training, mentorship, and career assistance-supported by IIIT Bangalore and international partners such as LJMU, making it among the top data science course in India.

Yes. A data science course with projects enables you to take up positions such as Data Analyst, Data Scientist, and Machine Learning Engineer. 

Major recruiters are Microsoft, Google, PwC, JPMorgan, and Tiger Analytics. They prefer experiential project work and certifications from established institutions.

Anticipate projects on retail analytics, fraud detection, customer segmentation, and developing ML models, all working with industry use-cases across industries like e-commerce and banking.

All of upGrad's mid- to long-term data science courses have 16+ real-world industry projects, such as NLP, ETL pipelines, and dashboarding assignments. These are designed to make you placement-ready and provide practical exposure, particularly if you're taking a data scientist course with placement and career assistance.

This project entails working with movie and IPL data by applying tools of data manipulation, slicing, visualization, and dashboarding. It's particularly helpful in a data analytics course that emphasizes data storytelling, data analysis, and business intelligence.

You will gain hands-on skills in cloud computing (AWS), data warehousing, and real-time data transformation, all of which are in great demand in data engineering and data science job positions.

A data science course takes anywhere from 3 to 24 months to finish.Short-term (3-6 months) certification courses are perfect for upskilling in a snap, while long-term (12-24 months) master's levels provide in-depth specialization and international credentials.

Professional working individuals can opt for flexible online courses such as the Executive Post Graduate Program from IIIT Bangalore (12 months) or MS in Data Science from LJMU (17 months). They provide part-time education, hands-on projects, and established data science certifications.

Yes, particularly for newcomers or rapid upskilling. upGrad has short-duration programs such as the Microsoft Generative AI Mastery Certificate and PwC Academy's Business Analytics & Consulting Program (3 months), both specialize in core technologies such as Python, SQL, and data visualization.