Data Science Training and Internship in Bangalore & Pune

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The study of data to derive important business insights is known as data science. To analyze massive volumes of data, it is a multidisciplinary technique that blends ideas and methods from computer engineering, artificial intelligence, statistics, and mathematics.





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    Certification Course

    Duration

    • ✔ Duration: 45 Days.
    • ✔ Days: Monday to Friday.
    • ✔ Daily Duration: 90 minutes.
    • ✔ Mode: Classroom (Offline).

    Location

    • ✔ Bangalore
    • ✔  Pune

    Courses covered

    • ✔ Python
    • ✔ Machine Learning
    • ✔ Power BI
    • ✔ Big Data
    • ✔ Cloud Technologies
    • ✔ Artificial Intelligence
    Data Science Workshop – Bangalore & Pune Data Science Workshop – Bangalore & Pune PRWATECH offers a practical Data science Workshop designed for students, graduates, and working professionals who want to build a strong foundation in data analytics. This workshop is available for learners in Bangalore and Pune and focuses on real-world applications with hands-on learning. The workshop introduces participants to the complete data analytics lifecycle, including data understanding, data cleaning, exploratory data analysis, and data visualization. Learners work with practical datasets and industry-relevant use cases to understand how analytics is applied in real business environments. At PRWATECH, the emphasis is on guided training rather than theory-only sessions. The workshop is conducted by experienced trainers who simplify complex concepts and ensure participants gain practical exposure to analytics tools and techniques. This structured approach makes the workshop suitable for both technical and non-technical backgrounds. Participants of the Data science Workshop in Bangalore and Pune gain clarity on analytics concepts, tools, and career pathways. The workshop also serves as a foundation for those planning to pursue advanced training in data analytics or data science with PRWATECH. PRWATECH is committed to delivering industry-oriented learning experiences that help participants gain confidence, practical skills, and a clear direction toward analytics careers.
    PYTHON FUNDAMENTALS
    • Introduction to Programming & Python
    • Python installation & environment setup
    • Writing first Python program
    • Variables, data types
    • Input/output operations
    • Type casting
    • Conditional statements (if, elif, else)
    • Real-world examples
    • Loops: for, while
    • Loop control statements
    • Functions & arguments
    • Return values
    • Lists, Tuples
    • Indexing & slicing
    • Dictionaries & Sets
    • CRUD operations
    • Strings & string methods
    • Pattern problems
    • File handling (read/write)
    • Exception handling
    • Mini Python Assignment
    • Code review & best practices
    MACHINE LEARNING
    • What is Machine Learning?
    • Types: Supervised, Unsupervised
    • Data understanding
    • NumPy & Pandas basics
    • Data preprocessing
    • Handling missing values
    • Data visualization
    • Matplotlib & Seaborn
    • Linear Regression
    • Model training & testing
    • Classification (Logistic Regression)
    • Model evaluation metrics
    • KNN & Decision Trees
    • Overfitting vs Underfitting
    • ML Mini Project (Healthcare dataset)
    POWER BI
    • Introduction to Power BI
    • Power BI Desktop setup
    • Data loading from Excel/CSV
    • Data cleaning in Power Query
    • Data modeling & relationships
    • DAX basics
    • Visuals: charts, tables, slicers
    • Interactive dashboards
    • Advanced DAX
    • Time intelligence functions
    • Power BI Project (Healthcare / Security dashboard)
    BIG DATA
    • Introduction to Big Data
    • Hadoop ecosystem overview
    • HDFS architecture
    • File operations
    • MapReduce concepts
    • Word count example
    • Introduction to Spark
    • RDD concepts
    • Spark transformations & actions
    • Spark SQL & DataFrames
    • Big Data Mini Project (log / healthcare data)
    CLOUD TECHNOLOGIES
    Cloud computing basics IaaS, PaaS, SaaS Introduction to AWS / Azure / GCP Cloud services overview Compute services (EC2 / VM) Storage services (S3 / Blob) Databases on cloud IAM & security basics Deploying a Python app on cloud Hands-on demo Cloud mini use case Cost & best practices
    ARTIFICIAL INTELLIGENCE
    AI vs ML vs DL AI use cases Introduction to Neural Networks Perceptron concept NLP basics Chatbots & AI tools AI case study (Healthcare / Security)
    LIVE PROJECT + INTERNSHIP CLOSURE
    Project selection & problem statement Dataset understanding Project development Model / dashboard building Project finalization Presentation preparation Project presentation Feedback & internship wrap-up Certificate process explanation
    Who Can Apply
    Freshers & recent graduates Final-year students (BE / BTech / MCA / BSc / MSc, etc.) Candidates aspiring for careers in IT, Data, Cloud & AI
    Internship Duration & Schedule
    Duration: 45 Days Days: Monday to Friday Daily Duration: 90 Minutes Mode: Classroom (Offline)
    Internship Location
    • Bangalore
    • Pune
    (Exact venue details will be shared after registration)
    Technologies Covered
    Python Programming Machine Learning Power BI Big Data (Hadoop & Spark basics) Cloud Technologies Artificial Intelligence
    Learning Methodology
    Instructor-led classroom sessions Hands-on coding & tool practice Real-time demonstrations Project-based learning approach Daily doubt-clearing sessions
    Project Exposure
    Live project implementation Domains: Healthcare Security Dataset analysis, solution design & presentation
    Internship Benefits
    Internship Completion Certificate Hands-on project experience Practical exposure to industry tools Resume & interview readiness Performance-based recognition
    Goodies Policy
    Basic Goodies Cost: Mandatory 399rs Includes laptop bag, internship ID card & materials Top 5 performers will receive a 100% refund of the goodies cost, based on attendance, project quality, and overall performance
    Certification Criteria
    Minimum attendance requirement Completion of assigned projects Active participation throughout the internship
    Evaluation Criteria
    Attendance & punctuality Assignment & task completion Project implementation Trainer evaluation
    Career Support
    Guidance on project explanation Resume & LinkedIn profile tips Interview preparation support for top performers  
    Fees
    Internship Fee: NIL Goodies Cost: Applicable (Mandatory) 399rs
    Registration Process
    Online application submission Shortlisting based on eligibility Batch confirmation via email/WhatsApp
    Is this internship really FREE?
    Yes. The training and Internship is completely free of cost.
    Is there any fee involved at all?
    Yes, basic cost for goodies is applicable Internship is free . Goodies kit cost applies and its compulsory This cost is strictly for physical items and logistics.
    Why is the goodies cost mandatory?
    The goodies cost is kept mandatory because:
    • TO ensure student commitment.
    • To avoid casual registration by the people who are not interested to join and learn.
    • It covers material & logistics expenses.
    Internship learning is free of cost.
    What is included in the goodies kit?
    The goodies kit may include:
    • Laptop bag ( Laptop should be carried by the student)
    • Internship ID card will be provided.
    • Study materials / notebook (will be provided if it is needed)
    (Goodie kit may vary based on the resources which are available).
    Is there any refund on the goodies cost?
    Yes. Top 5 performers will receive 100% refund of the goodies cost. Performance is evaluated based on:
    • Attendance.
    • Project quality(work which they do).
    • Assignments & participation.
    • Trainer evaluation.
    How are the “Top 5 performers” selected?
    Selection is based on:
    • Minimum 80% attendance.
    • Completion of the project successfully.
    • Overall performance during the internship will be considered.
    Trainer’s evaluation and project outcomes will be final.
    What topics will be covered in the internship?
    The internship covers:
    • Python.
    • Machine Learning.
    • Power BI.
    • Big Data.
    • Cloud Technologies.
    • Artificial Intelligence.
    Will students work on real projects?
    Yes. Students will work on live, hands-on projects, which includes:
    • Healthcare domain project.
    • Security domain project.
    These projects are suitable for resumes and interviews.
    Will I receive an Internship Certificate?
    Yes. An Internship Completion Certificate will be issued to students who:
    • Meet attendance criteria.
    • Complete assigned projects.
    • Follow internship guidelines.
    Who can apply for this internship?
    This program is ideal for:
    • Freshers.
    • Final-year students.
    • Recent graduates (BE / BTech / MCA / BSc / MSc, etc.)
    • Anyone interested in IT, Data, Cloud & AI careers.
    What is the internship duration and schedule?
    • Duration: 45 Days.
    • Days: Monday to Friday.
    • Daily Duration: 90 minutes.
    • Mode: Classroom (Offline).
    Where is the internship conducted?
    Internship will be conducted in:  Bangalore  Pune Exact venue details will be shared after registration.
    Is placement guaranteed after the internship?
    No, placement is not guaranteed after the internship. However, Best performer and sincere performer can get:
    • Project opportunities.
    • Career guidance.
    • Interview preparation support.
    What happens if I don’t attend regularly or complete the project?
    Students who fail to meet minimum requirements:   May not receive the internship certificate. Will not be eligible for goodies cost refund.

    Course Tools

    Program Features

    Instructor-led Sessions

    Real-life Case Studies

    Assignments

    Lifetime Access

    24 x 7 Expert Support

    Free Courses & Free MCQ

    Corporate Training

    Workplace Learning that Works

    • Blended learning delivery model (self-paced eLearning and/or instructor-led options)
    • Flexible pricing options
    • Enterprise grade Learning Management System (LMS)
    • Enterprise dashboards for individuals and teams
    • 24×7 learner assistance and support

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