Question 1

What should I expect from the Executive PG Diploma in Data Science & AI?

Accepted Answer

This Executive Diploma in Data Science & AI is designed to transform you into a highly skilled data science professional. You'll work on industry-relevant projects that mirror real-world scenarios, helping you gain practical experience and build a portfolio that showcases your expertise.
With a curriculum aligned to top industry standards, you'll master the tools and techniques needed to excel in the field.
This diploma in data science and AI is recognized as one of the best online data science courses, empowering you to stand out in a competitive job market and significantly boost your employability.

Question 2

Which topics are going to be covered as part of the Post Graduation in Data Science Course?

Accepted Answer

This course in data science and AI is designed for professionals aiming to transition or grow in the data domain.
The curriculum begins with a comprehensive core phase spanning the first 5-6 months, where you'll learn foundational topics such as Python programming, SQL, exploratory data analysis, statistics, and machine learning fundamentals.
After the core phase, you'll select one of five industry-aligned specializations — Data Analytics, Business Analytics, Deep Learning, Natural Language Processing, or Data Engineering — each tailored to specific career paths.
The final 6-7 months include specialization modules and a capstone project, giving you hands-on experience solving real-world challenges.

Question 3

What type of learning experience should I expect to be a Data Scientist or Data Analyst?

Accepted Answer

This Executive Diploma in Data Science & AI offers an immersive and experiential learning journey designed to fit into your busy schedule. You'll learn through a blend of interactive lectures led by industry experts and world-renowned faculty, ensuring you gain practical insights along with theoretical knowledge.
The PG certification in data analytics includes live sessions and hangout sessions dedicated to resolving academic queries and deepening your understanding of key concepts.
Additionally, you'll participate in offline upGrad BaseCamps, where you'll engage in peer-to-peer discussions and collaborative learning, building a sense of community and shared growth.

Question 4

Which field is highest paid in Data Science?

Accepted Answer

Professionals with a Executive Diploma in Data Science & AI earn competitive salaries. Here are some of the highest-paid job options in both India and abroad:

Data Scientist: INR 8L to INR 20L
Machine Learning Engineer: INR 6L to INR 18L
AI Specialist: INR 7L to INR 23.3L
Data Engineer: INR 6L to INR 15L
Business Analyst: INR 5L to INR 12L
Natural Language Processing (NLP) Engineer: INR 5L to INR 11L
Big Data Analyst: INR 4L to INR 8L
Visualization Expert/BI Consultant: INR 5L to INR 11.3L

Question 5

Is AI and data science a good career?

Accepted Answer

Yes, AI and Data Science are excellent career choices, given their pivotal role in transforming industries like healthcare, finance, and technology. With a projected market size of USD 826.7 billion and USD 545.38 billion respectively, these fields offer exceptional growth, stability, and high earning potential.

Question 6

Is data science a safe career?

Accepted Answer

Data Science is one of the safest careers today, with demand exceeding supply. The field has seen 36% job growth annually and continues to expand into emerging domains like AI, automation, and analytics, ensuring long-term career stability.

Question 7

Which one is better, AI or data science?

Accepted Answer

It depends on your goals. Data Science focuses on analyzing and interpreting data, making it ideal for roles like Data Analyst or Business Analyst. AI, on the other hand, emphasizes creating intelligent systems perfect for cutting-edge roles like AI engineers.
Both fields overlap significantly, and having expertise in both sets you up for versatile career opportunities.

Question 8

Does data science require coding?

Accepted Answer

Yes, coding is a critical skill in Data Science. Languages like Python, R, and SQL are widely used for data manipulation, visualization, and building machine learning models. Many tools, such as TensorFlow and Pandas, rely on programming expertise to unlock their full potential.

Question 9

Can a data scientist become an AI engineer?

Accepted Answer

Absolutely! Data Scientists often have a strong foundation in machine learning and statistical modeling. With a certificate in data science and additional skills in deep learning, neural networks, and AI frameworks like TensorFlow or PyTorch, transitioning to an AI Engineer role is not only possible but highly achievable.

Question 10

What is the salary of PG Diploma in data science?

Accepted Answer

According to Glassdoor, the estimated total pay for a Data Scientist in India is approximately INR 12 L per year. For entry-level positions, such as a Data Science Associate, the estimated total pay is around INR 11.3 L per year.

Question 11

Who is eligible for a PG Diploma in Data Science?

Accepted Answer

Eligibility criteria for a Post Graduate (PG) Diploma in Data Science can vary by institution. However, common requirements include:

Educational Background:

- A bachelor's degree in any discipline from a recognized university.
- Some programs may prefer candidates with a background in STEM fields such as Science, Mathematics, Engineering, or Computer Science.

Programming Knowledge:

- While not always mandatory, having a basic understanding of programming languages like C or C++ can be beneficial.

Work Experience:

- Both fresh graduates and individuals with prior work experience are eligible to apply.

Question 12

Is any certification granted at the end of the Data Science course?

Accepted Answer

Absolutely! Upon successfully completing this data science diploma, you'll be awarded a Executive Diploma in Data Science & AI from IIIT Bangalore, a prestigious institution renowned for its excellence in technology and research.
This PG certification in data analytics is equivalent to a 1-year PG Diploma and is accredited with NAAC A+, making it a powerful addition to your professional credentials.

Question 13

How to choose the right specialization for the Executive Diploma in Data Science & AI?

Accepted Answer

After completing the common curriculum, you have the freedom to choose your specialization. It's important to consider your interests, career goals, and background when selecting a specialization. The program offers various options like Data Analytics, Business Analytics, Deep Learning, Natural Language Processing, and Data Engineering, each designed for specific career paths. Choosing a specialization that aligns with your strengths and aspirations will help you maximize your potential and enhance your career opportunities.

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