Mastering Fundamentals of
Modern Data & AI Stack

Q: What Is Dаta Science?

Data Science is a multidisciplinary field that combines statistical analysis, machine learning, programming, and domain expertise to extract meaningful insights from structured and unstructured data. It plays a vital role in helping businesses make data-driven decisions, predict trends, automate processes, and personalize customer experiences. A data science course in BEPEC typically teaches core concepts like Python programming, SQL, data cleaning, data visualization using Power BI, Tableau, statistical modelling, machine learning, NLP, Generative AI, Agentic AI, AWS, Azure, LangChains, OpenAI, Streamlit, Solara, MLOps, Advanced Deep Learning, Computer Vision and real-world project applications using tools like Jupyter, Pandas, Scikit-learn, Tensorflow, PyTorch, Langchains, Transformers and cloud platforms such as AWS or Azure.

Q: Who Is Dаta Scientist?

A Data Scientist is a skilled professional who collects, processes, and analyses data to solve complex business problems. They build predictive models, create data-driven strategies, and communicate findings through storytelling and visualisations. Professionals who complete a data science course become proficient in handling large datasets, applying algorithms, and deploying models to production, making them highly valuable across industries like finance, healthcare, e-commerce, and technology.

Q: Why one should Take Data Science Course?

Taking a data science course is a strategic career move due to the explosive growth of data-driven industries. With AI, automation, and digital transformation accelerating globally, companies across sectors urgently need skilled data professionals to turn raw data into actionable insights. A data science course equips learners with in-demand skills such as Python, SQL, Machine Learning, and Cloud Analytics, preparing them for high-paying roles like Data Analyst, Data Scientist, ML Engineer, and AI Specialist. As data becomes the core of business decisions, portfolio certified professionals will be at the forefront of innovation and job market demand.

Q: Who Should Do The Dаta Science Course?

A data science course is ideal for anyone looking to build a future-proof career in a high-demand, data-driven world. Whether you're a fresh graduate , working professional , or career switcher , learning data science opens doors to top roles in AI, analytics, and machine learning. Specifically, this course is perfect for: IT professionals aiming to upskill for AI and data roles Engineers seeking to transition into analytics and data product development Statisticians & mathematicians wanting to apply skills in real-world business problems Managers & decision-makers who want to make data-driven decisions Students preparing for data science internships and entry-level jobs

Q: Which Data Science Course is Best?

The best data science course is the one that not only teaches theoretical concepts but also prepares you for real-world applications. Employers prioritise hands-on skills and demonstrable experience over just certifications. That’s why portfolio-driven data science courses are increasingly preferred over traditional certification-based courses .

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Kanth Worked as a Principal Data Scientist with proficiency in Machine learning, Deep Learning, Generative AI, and LLMs, with around 12+ years of involvement in conveying end-to-end project pipelines using AGILE CRISP, DataOps, Big Data Streaming Pipelines, and MLOps Pipelines
Kanth is an AI CoE and Six Sigma Certified. He is an AI Consultant for companies like Nokia, EY, Cognizant, BMW, DU Telecom etc. Kanth delivered AI Solutions using AI Software Stack.
Kanth has experience in delivering customized training on statistics, cloud computing, machine learning, deep learning, general AI, data engineering, data analytics, data science, and reinforcement learning.
Delivered Training Across Dubai, Malaysia, Singapore, South Africa, Sudan etc.
Helped various organisations to implement AI & Gen AI using AI Software Stack & made them achieve tremendous financial gains
Experience in Delivering 100+ pieces of training for working Data Scientists and AI Engineers to Upskill them for Future Projects.
Experience in delivering 50+ PMP Programs, ITIL Programs, Agile Programs, etc
India – EY, Infosys, TechMahindra, ExlSolutions, Suzlon, Wipro, TCS, CSC, HCL, HP, Deloitte, IIT-Bhubaneswar, KIIT –Bhubaneswar, R&D – Hyundai
Corporate training across different location like Dubai(Etisalat), Malaysia ( X-Fab), Canada(X-Axis), Singapore(DBS Bank)
Colleges – Nearly 400+ Colleges all over India

What Is Dаta Science?

Data Science is a multidisciplinary field that combines statistical analysis, machine learning, programming, and domain expertise to extract meaningful insights from structured and unstructured data. It plays a vital role in helping businesses make data-driven decisions, predict trends, automate processes, and personalize customer experiences.

A data science course in BEPEC typically teaches core concepts like Python programming, SQL, data cleaning, data visualization using Power BI, Tableau, statistical modelling, machine learning, NLP, Generative AI, Agentic AI, AWS, Azure, LangChains, OpenAI, Streamlit, Solara, MLOps, Advanced Deep Learning, Computer Vision and real-world project applications using tools like Jupyter, Pandas, Scikit-learn, Tensorflow, PyTorch, Langchains, Transformers and cloud platforms such as AWS or Azure.

Who Is Dаta Scientist?

A Data Scientist is a skilled professional who collects, processes, and analyses data to solve complex business problems. They build predictive models, create data-driven strategies, and communicate findings through storytelling and visualisations.

Professionals who complete a data science course become proficient in handling large datasets, applying algorithms, and deploying models to production, making them highly valuable across industries like finance, healthcare, e-commerce, and technology.

Why one should Take Data Science Course?

Taking a data science course is a strategic career move due to the explosive growth of data-driven industries. With AI, automation, and digital transformation accelerating globally, companies across sectors urgently need skilled data professionals to turn raw data into actionable insights.

A data science course equips learners with in-demand skills such as Python, SQL, Machine Learning, and Cloud Analytics, preparing them for high-paying roles like Data Analyst, Data Scientist, ML Engineer, and AI Specialist. As data becomes the core of business decisions, portfolio certified professionals will be at the forefront of innovation and job market demand.

Who Should Do The Dаta Science Course?

A data science course is ideal for anyone looking to build a future-proof career in a high-demand, data-driven world. Whether you’re a fresh graduate, working professional, or career switcher, learning data science opens doors to top roles in AI, analytics, and machine learning.

Specifically, this course is perfect for:

IT professionals aiming to upskill for AI and data roles
Engineers seeking to transition into analytics and data product development
Statisticians & mathematicians wanting to apply skills in real-world business problems
Managers & decision-makers who want to make data-driven decisions
Students preparing for data science internships and entry-level jobs

Which Data Science Course is Best?

The best data science course is the one that not only teaches theoretical concepts but also prepares you for real-world applications. Employers prioritise hands-on skills and demonstrable experience over just certifications. That’s why portfolio-driven data science courses are increasingly preferred over traditional certification-based courses.

Who Are Eligible for a Data Science Course?

Anyone with a keen interest in data and problem-solving can enroll in a data science course. There are no strict eligibility criteria, but having a background in mathematics, programming, or analytical thinking is beneficial.

Recommended Prerequisites (Not Mandatory):