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Data Science Internship with Grras Solutions

Master the future of artificial intelligence with our comprehensive Data Science and Machine Learning course. Gain in-depth expertise in Python and R programming, advanced data structures, statistics, and machine learning algorithms.

Learn industry-standard tools including NumPy, Pandas, Tableau, and Scikit-learn, plus Big Data technologies like Hadoop and cloud platforms (AWS, GCP, Azur ... e). From foundational programming to deep learning, this course equips you with the skills demanded by top global companies in the rapidly growing analytics industry.

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Earn an ISO-Certified Training Certificate

Earn an industry-recognized Data Science Certification that validates your expertise in data analysis, machine learning, and data visualization. This credential highlights your proficiency in essential tools like Python, SQL, Power BI, and Tableau, giving you a competitive edge in the job market. Whether you’re starting your career or advancing in your field, this certification demonstrates your ability to solve real-world business problems and opens doors to high-paying roles at top companies. Build credibility, gain confidence, and accelerate your journey to becoming a data-driven professional.

Designation

Annual Salary

Hiring Companies

Data Science Internship Curriculum with Grras Solutions

Comprehensive Learning Path: From Python Fundamentals to Advanced Machine Learning & Big Data Architecture. Our curriculum systematically builds your expertise through hands-on projects, real-world datasets, and industry best practices. Master the complete data science stack—from core programming and algorithms to distributed computing, cloud platforms, and AI-driven solutions that power modern enterprises.

  • Numbers
  • Strings
  • List

  • Arithmetic Operators
  • Comparison (Relational) Operators
  • Assignment Operator
  • Logical Operators
  • Bitwise Operators
  • Membership Operators
  • Identity Operators

  • if-else
  • nested if-else

  • While loop
  • for loop

  • Built-in Functions, User Define functions
  • Recursion
  • Closures and Decorators
  • Generators

  • Basic File Handling Tasks such as reading, writing and appending data into files
  • Advance file Handling using Serializer and Deserializer
  • JSON, XML, YAML file handling
  • Using File Handling for Personal Database Management System

  • Paradigm of Object Oriented
    Programming
  • Encapsulation, Abstraction and Data Hiding
  • Inheritance
  • Polymorphism and Over-riding
  • Objects and classes
  • Meta classes
  • Abstract Classes
  • Slots

  • Built-in Exception meaning, detection and handling
  • Raising Custom Exceptions
  • Creating Custom Exception Classes for advance Exception Handling

  • os and sys modules
  • shutil, glob modules
  • regular expressions using re module
  • math and random modules
  • statistics module
  • urllib and request module for Internet Access
  • smtplib module for mails
  • datetime, time modules for time series data
  • zlib module for data compression
  • timeit module for performance Measurement
  • sqlite3 for small database management

  • doctest module
  • unittest module
  • pdb debugger

  • Concurrency
  • Synchronization
  • Networking

  • system Automation tasks

 

  • Introduction to Database Management System
  • sql and no sql databases
  • pro and cons of RDBMS
  • pro and cons of ODBMS

 

  • Installation on Windows
  • Installation on Linux
  • Creating Databases
  • User & Permissions

 

  • DDL statements
  • DML statements
  • DCL statements
  • Creating, Updating and Altering Tables
  • Aggregation Functions
  • Where, in , like, limit, order by, as, between clauses
  • Multiple table Queries
  • Nested Queries

 

  • Inner Joins
  • Outer Joins
  • Left Outer Join
  • Right Outer Join

 

  • First normal form
  • Second normal form
  • Third normal form

  • Create views
    Update Views
  • Drop Views
  • Alter Views

  • Creating and Using User Define Functions
  • Creating Triggers

  •   File Organisation and Database Indexes
  • Data Warehousing and Mining
  • Database Optimization
  • Database Connectivity with Python and R language
  • Backup and Restore

 

  • Introduction to Web and Http Requests
  • MIME types and Headers

 

  • Scraping data using request and urllib module of python
  • Advance Scrapping using BeautifulSoup Library of python
  • Data Scrapping using APIs and making own APIs
  • Creation of Rest APIs using json

 

  • Introduction to html, css and bootstrap
  • Introduction to apache server and CGI-Scripting
  • Backend Development using Flask web Framework of Python
  • Introduction To Django Web Framework of Python

 

  • Primary Data Collection
  • Secondary Data Collection

 

  • Geographical Classification
  • Chronological Classification
  • Qualitative Classification
  • Quantities Classification

 

  • Discrete and Continues Data
  • No of Classes, Class Intervals, Mid-value, Range
  • Frequency Table
  • Less than and Greater than Cumulative Frequency table

 

  • Mathematical Average
  • Arithmetic mean
  • Geometric mean
  • Harmonic mean
  • Average of Position
  • Median
  • Quartile
  • Decile
  • Percentile
  • Mode
  • Variance
  • Standard Deviation

 

  • numpy arrays
  • pandas Module for data wrangling
  • scipy Module scientific calculations of central tendency
  • statistics module for stats
  • sympy module for symbolic representation

 

  • Scatter, Bar, Histogram and Box Plot
  • matplotlib module
  • seaborn module
  • opencv module

 

  • Clustering
  • Anomaly Detection
  • Neural Networks

 

  • Clustering
  • Anomaly Detection
  • Neural Networks

 

  • History, Installation, a Word about OpenSource
  • Accessing the Command line
  • Managing Files from Command Line
  • Basic Commands of Linux

 

  • Creating users and groups in linux
  • Sudoers and super privileges
  • File Permissions in Linux
  • Changing Ownership and Permissions of files

  • Ipv4 and Ipv6, gateway, subnets
  • DNS
  • DHCP

 

  • Remote access using ssh, putty
  • Deploying ftp server
  • Deploying Database Server and accessing in client machine
  • Deployment of Apache Server

 

  • Basics of Shell Scripting
  • If-else, loops and regular expression
  • System Automation using Shell Scripting
  • Automation using Python + Shell Scripts using CGI

 

  • ec2 instance creation
  • lambda service
  • EMR service
  • Beanstalk service

 

  • History of Big Data
  • Introduction Hadoop Architecture

 

  • Single node cluster Installation
  • Multi-node cluster Installation
  • Working on Cloudera Distributed Hadoop (CDH)

 

  • Job Tracker
  • Task Tracker
  • Input, Input split
  • Mapping
  • Shuffling and sorting
  • Combiner and Reducer

 

  • Sqoop
  • Flume
  • Kafka

 

  • Hive
  • Cassendra
  • Hbase
  • Kafka

 

  • MapReduce
  • Hive
  • Pig
  • Tez & Impala

 

  • OOZIE
  • Zookeeper

  • Spark Core
  • Spark SQL
  • PySpark
  • Machine Learning on Spark
  • Spark on Data Bricks (AZURE)
  • Live classes (Online & Classroom)
  • Led by industry experts
  • Hands-on experience
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Get ahead in your career by learning top AI tools title

ChatGPT & Gemini to explore datasets, analyse data, generate code, and develop models

Debugcode.ai to solve any coding problem within seconds

Essential Data Science Tools Covered in This Course

From Training to Placement A Roadmap to Success

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Expert Training sessions123

Focus on industry-relevant skills

Hands on projects & Assignments

Real-world projects to implement learned concepts.

Performance Tracking

Weekly tests to assess progress

Mock Interviews

Mock sessions with real-time feedback from experts

Expert Sessions

Host industry experts for advanced technical guidance

Skill Refinement Tasks

Focus on problem-solving, critical thinking, and domain expertise

Effective Communication & Presentation Skills

Through interactive classes, students enhance both verbal and non-verbal communication, while also learning to present their ideas clearly, confidently, and effectively.

Aptitude & Logical Reasoning Training

Enhances students' problem-solving, analytical thinking, and numerical ability-preparing them for competitive exams and placement tests.

Step by step guidance

Help students structure professional, impactful resumes

Industry networking

* Partner with top companies for hiring pipelines
* Conduct webinars and sessions with recruiters

Placement coordination

* Connect candidates to aligned opportunities
* Organize hiring events and recruitment drives

Stress Management Techniques

Equip students to handle high-pressure interview situations

Scenario-Based Training

Prepare students for various interview formats, including case studies, coding rounds, and group discussions

Individual Sessions

* Address specific weaknesses and barriers to success.
* Develop personalized improvement plans

Our mission revolves around our learners

Promising 100% #CareerSuccess!

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600+ Hiring Partners Across Industries

Our extensive network of hiring partners spans various industries, offering diverse opportunities to kickstart your career.

Hear From Our Students and Partners

Explore how our partnerships have impacted learners, institutions, and organizations.

Benefits of Interning with Us

Emphasize the advantages of joining the internship.

Industry-relevant skills

Gain cutting-edge skills aligned with current market demands, making you industry-ready.

Practical experience

Build an impressive resume/portfolio with hands-on projects and professional-grade outputs.

Real-time problem-solving exposure

Tackle real-world challenges, enhancing critical thinking and technical expertise.

Career opportunities via Grras

Unlock placement opportunities through Grras' extensive professional network and connections.

Resume writExclusive hackathons & tech eventsng

Participate in industry-specific competitions and events to expand knowledge and showcase talent.

Mentorship from experts

Learn directly from seasoned professionals, receiving guidance and feedback to boost your career trajectory.

Grras vs Other Internships

Unlike typical internships, Grras Solutions offers a comprehensive learning experience, combining ISO-certified training, real-world projects, dedicated mentorship, and personalized placement support. Our programs are designed to build job-ready skills, boost confidence, and provide a clear path to career success, making us a preferred choice for aspiring professionals.

Video Courses Bootcamps Grras
Practical, Real-World Experience
Project-Based Learning
Live, Expert-Led Sessions
Professional Portfolio Development
Industry Partnerships / Externship
Career Coaching
Direct Job Referrals

Have doubts about Full Stack Placement Course? Reach out to our counsellors by filling this form.

Need Help? Talk to us at +91-8448-448523 or WhatsApp us at +91-9001-991813 or REQUEST CALLBACK
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