Hiring Partners
Develop Cultural Fit, Hard Skills and Soft Skills = To Crack Interviews
Work on Exclusive Real-Time Projects to showcase on your resume & Gain Internship Certificate
ATS Resume Development, Job Portal Optimization and Mock Interviews
Post-Placement Documentation and Support!
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
Work as a Data Science Intern and Work on Real-Time Projects & Place them in Your Resume
Master Python with Data Structures and Algorithms (DSA) through our unique Smart Board Access for interactive learning, real-world projects, and Live Doubt Clarification Classes. Develop Confidence with your coding skills and excel in competitive programming and job interviews.
Master MySQL fundamentals like database design, ETL, CRUD operations, Aggregate Functions, Window Functions, SubQueries and JOINs, and advance to key concepts like indexing, stored procedures, functions, triggers, and query optimization to confidently tackle job interview questions.
Master applied statistics in Excel by understanding descriptive statistics, probability distributions and data visualization to excel in job interviews
Job-Ready Power BI by learning data modeling, DAX formulas, and interactive dashboards, and advance to job-ready skills like Power Query, report automation, and real-time analytics with exclusive Fabric SmartBoard Access to excel in business intelligence roles
Gain expertise in Data Science, Machine Learning, and NLP by mastering key tools like PyCaret, Docker, MLFlow, and GitHub, and advance to deploying models with MLOps, AWS, Deep Learning, and SHAP to be job-ready for real-world AI projects and interviews.
Master Generative AI with hands-on experience in Langchains, BedRock, and Azure, while developing Prompt Engineering, RAG Projects To Place in Resume through our interactive Smart Board Access for real-time learning, making you job-ready for cutting-edge AI applications.
Advance your deep learning knowledge with hands-on training in computer vision, RNNs, LSTMs, attention-based models, diffusion, GANs, transformers, BERT, and GPT. Engage in real-time, interactive learning through Smart Board Access, making you fully equipped for the latest AI roles and cutting-edge applications.
Gain expertise in Data Engineering with hands-on experience in tools like Databricks, Azure Data Factory, AWS and Snowflake, mastering data pipelines, ETL processes, and cloud data solutions to become job-ready for large-scale, real-world data infrastructure challenges.
Get hands-on experience in Artificial Intelligence with real-time project access, allowing you to apply advanced concepts like machine learning, deep learning, transformers, ,RNNs, RAGs, Prompt Engineering, data visualization, and predictive analytics, making you job-ready with practical skills for solving real-world business challenges.
Get hands-on experience in Data Science with R Programming, allowing you to apply advanced concepts like machine learning, data visualization, data cleaning and predictive analytics, making you job-ready with practical skills for solving real-world business challenges.
Prepare for Artificial Intelligence interviews with targeted practice on key concepts like statistics, machine learning, deep learning, computer vision, RNNs, LSTMs, Transformers, GANs and coding challenges, while enhancing your resume with expert guidance and tailored access, ensuring you’re ready to impress employers and secure your dream role.
Become a Certified Machine Learning Architect with in-depth training on model building, optimization, and deployment, gaining exclusive access to real-world tools and certifications that will elevate your expertise and help you stand out in competitive job markets.
Master Advanced Time Series Modeling by learning key techniques like ARIMA, SARIMA, and LSTM, and gain practical skills in forecasting, trend analysis, and real-world applications, preparing you to tackle complex time-dependent data challenges in any industry.
Our career-focused Data Science course designed to help you stand out in today’s competitive job market. Whether you’re entering the field or upskilling, this program offers a hands-on learning experience that mirrors the demands of leading companies.
From mastering Python, Statistics, Amazon Bedrock, Langchains, OpenAI, Generative AI, Prompt Engineering, Deep Learning and Machine Learning to building predictive models and interpreting real-world datasets, you’ll gain in-demand skills that translate directly to the workplace. Our expert-led training ensures you’re equipped with practical tools, not just theory.
You’ll also complete real-time projects based on actual industry case studies—giving you the confidence to tackle business problems across domains such as finance, healthcare, and e-commerce.
To ensure you’re ready, the course concludes with a comprehensive assessment inspired by real interview and certification standards.
This certification is valued by over 30+ global employers, including top firms like The MathCo, Walmart, Honeywell, Bank of America, Tiger Analytics, Merck, Allianz, ToTheNew, Yes Bank, Kotak, HDFC, Suzlon —helping you showcase your capabilities and accelerate your career.
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.
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.
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.
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
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.
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):
Basic knowledge of maths, statistics, or Python
Curiosity to solve business problems using data
Comfort with tools like Excel, SQL, or any programming basics
