Data Science Internship

Welcome to Google Rated No 1- Best Data Science Internship company – By 10 Years Microsoft Awarded MVP - ISO Certified

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ISO Certified Company - Google Rated Number 1

Data Science Internship

KaaShiv Infotech offers, data science internship . Internship provides you an in-depth knowledge on Data Science .  This internship enables the students to understand and learn the current trend in the job market. Students will prefer internships to  build their profile for their jobs and also for their higher studies. Our company provides both offline and online data science internship . internship on Data Science imparts technical and programming skills on the below list of data science areas such as,

 

  1. Python Basics –  Python Programming, Python Installation
  2. Python Operations –  How to use python
  3. Python Machine Learning Machine learning with Python Programming , Algorithms& its implementation
  4. Python Data Science  – Data Science with Python Programming , Algorithms& its implementation
  5. Python Advanced  – OOPS , Class / Object python programs , Exception Handling in python

 

Highlights of our company

  • Common Wealth Bank Recognized Leading Light Rising Star Award Winner
  • Run by 10 Years Microsoft Awarded MVP ( Most Valuable Professional )
  • Google Recognized Experts and Cisco Recognized Certified Experts
  • Microsoft Certified Professionals
  • Artificial Intelligence  and Robotics Experts
  • HCL Technologies Awarded SME ( Subject Matter Expert )
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Why our company provides, data science internship course

The Course curriculum for, data science internship for undergraduates – is carefully researched and prepared by professionals from MNC to meet the demands expected in the current IT industries. After completing Internship in Chennai at KaaShiv Infotech, students will be familiar with the entire data science concepts . Below are some of the insights of our  programme, data science internship in chennai ,

Gain a new perspective on your student life
Discover New And Hidden Talent
Real-time project development and Technology Training
Bolstering your CV
100% Practical Technology training
Earn academic credit & fulfil academic goals
Real Life Experience and Exposure
After completion, Internship report will be provided.
Guidance in creating R & D projects

Trainers to train you

Kaashiv InfoTech Trainers are real-time IT experts and professionals worked in data science-related technologies from leading MNCs like

  • TCS,
  • HCL,
  • Infosys,
  • Cognizant,
  • Wipro
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Benefits of Doing an, internships for Data Science

Student can get a real world experience and also our company provides a hands on training in a professional environment. Internships help to getting a chance to try all the possible jobs with explore different options in career.

 

  • A chance to develop your knowledge and skills in a particular field or industry
  • Exploring different roles to see which one you would like to pursue
  • Getting insight into the way businesses work and what challenges they face on a daily basis
  • Gaining valuable work experience to set you apart from other candidates
  • Applying the concepts and strategies of academic study in a live work environment
  • data science internship jobs – Most of the students will be getting ready for campus placement or off campus interviews. Applying basic theoretical ideas into the real world via internship programmes horne their skills to the next level of industrial knowledge.

Why Data Science internship ?

Data Science is a wide-ranging field there isn’t a single way to define the role of a data scientist or the domain of data science. The data scientist skill set includes in equal measure the statistics, analytical, programming skills and business cleverness.

The Data Science covers the basic topics such as

  • Data Manipulation
  • Data Analysis with Statistics and Machine Learning
  • Data Communication with Information Visualization
  • Data at Scale – Working with Big Data

Data Science Internship Training, provides a practical exposure for the students on the latest and trending technologies. Below are some of the Top jobs in the IT Industry.

  • Data Analyst
  • Data Scientist
  • Data Mining
  • Data Science Generalist
  • Data Architect

What is Datascience ? - Data science summer Internships

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Types of Internship Training to the Students

Learn and Implement
45 Concepts Covering 7 Technologies
+ 1 Projects

Short Term Internship
- Data Science internship for students

  • Data Science Internship – Duration: 1 day, 2 days, 3 days, 5days/ 10days or Based on Student Preference
  • Training hours: 3 hrs per day
  • Software & other tools installation Guidance
  • Hardware support
  • Data Science Internship Report creation / Data Science internship projectsReport creation
  • KaaShiv Infotech is top under, Data science internship in india ,  1 Real time projects – After 6 months of regular Paid Internship, Internship becomes free + For best interns Stipend will be provided + Best Interns will be offered Job too.
  • Internship Certificate & Inplant Training Certificate &  Industrial exposure certificate + (Achievement certificate for best performers)
S.No
Data Science Internship 2021 india – Syllabus

100% Practical – Live HandsOn – Data science internship description

Topic 1 : Python Programming – Introduction
History of Technology , Evolution of Programming Languages , What is python , History of Python , Why Python , Where Python used for? , Big Companies Using python , Tools and Frameworks In Python , How Python code works , Python for .Net and Java , DOWNLOAD & INSTALL PYTHON , Domain Vs Tools in Python , Install Python ,Python Tool – How to work
Topic 2 : Python Operations – Basics

Strings in Python , Integer in Python , Operators in Python , String Operations in Python , Loops in Python , Not in and In Operator in Python , Lists – Advanced functions in Python

Topic 3 : Python Matrix and Python Functions

Matrix Operations ,  Matrix Usages , Functions with arguments and Parameters, Advanced functions and Advanced concepts

Topic 4 : Python Advanced 1

What is Class & Object , What is Constructor , What is Inheritance , What is self method , Try except , Raise exception

Topic 5 : Python Project 

IOT, Step by step guidance Python Project , Project Implementation , Project report creation

+ Data Science Internships Certificate

+ Data Science Inplant Training Certificate

+ Free Industrial exposure certificate + (Achievement certificate for best performers) + 1 Data Science Project

Learn and Implement
70 to 400 Concepts Covering 9 Technologies
+ 2 Projects

Long Term Internship
- Data science internship for students

  • Data Science Internship – Duration: 6 days to 6 Months or Based on Student Preference 
  • Training hours: 3 hrs per day
  • Software & other tools installation Guidance
  • Hardware support
  • Data Science Internship Report creation / Data Science Project Report creation
  • KaaShiv Infotech is top under,  Data science internship chennai,  based 2 real time projects.
  • 3 Certificates will  be given
    • Internship Certificate
    • Inplant Training Certificate  
    • Industrial exposure certificate
    • + (Experience Letter for best performers and Researchers)
    • Free Data Science Internship / Data Science internship free – data science 6 months internship – After 6 months of regular Paid Internship, Internship becomes free + For best interns Stipend will be provided + Best Interns will be offered Job too. Data Science internship salary – Will be paid after 6 months as stipend.
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Data science internship from home

100% Practical – Live HandsOn  – Data science internships for undergraduates

Topic 1 : Python Programming – Introduction
History of Technology , Evolution of Programming Languages , What is python , History of Python , Why Python , Where Python used for? , Big Companies Using python , Tools and Frameworks In Python , How Python code works , Python for .Net and Java , DOWNLOAD & INSTALL PYTHON , Domain Vs Tools in Python ,
Install Python ,Python Tool – How to work
Topic 2 : Python Operations – Basics

Strings in Python , Integer in Python , Operators in Python , String Operations in Python , Loops in Python , Not in and In Operator in Python , Lists – Advanced functions in Python

Topic 3 : Python Matrix and Python Functions

Matrix Operations ,  Matrix Usages , Functions with arguments and Parameters, Advanced functions and Advanced concepts

Topic 4 : Python Advanced 1

What is Class & Object , What is Constructor , What is Inheritance , What is self method , Try except , Raise exception

Topic 5 : Python Project 

IOT, Step by step guidance on, python internship projects , Project Implementation , Project report creation

Topic 6 : Python Machine Learning
Creating a Data Frame , Transform Values to Numbers , Data Mappers , Null Finding , Null Mapping to Mean Value , Null Mapping to Constant Value , Accessing Inbuilt Data Sets , Finding Outlier Data , Filter Missing Values , Feature Selection
Topic 7 : Python Data Science
What is Data Science , Diff between DS, Data Analysis, Data Mining , Data Mining Vs Data Science , History of Data Science , What does a data Scientist will do , Data Science – Life Cycle , Data Science – Step by Step , How Data Science works , Data Science – Mean Implementation , Data Science – Probability Implementation
Topic 8 : Python Machine Learning Advanced
Datasets for Research , Access Datasets and How to convert into Data Frame ? , Dataset Details ,
What are we going to See in this Session ? , What is LDA , Why LDA Technique , How LDA Technique Waorks ? , LDA Implementation Possibilities , Feature Filtration using Threshold Technique , How to Calculate Variance ? , Model Evaluation , Intelligence learning Systems , Basic Datasets to do research , Planned Procedure to achieve our result , Planned data for our research , Machine Learning & Data Science Algorithms , Unsupervised Learning , Supervised Learning , Clustering Vs Classification , Dataset Details , Sample Datasets For Clustering , Sample Datasets For Classification , Sample Datasets For Regression , Clustering , Classification , Regression
Topic 9 : Python Tkinter GUI Programming
Basic Intro On Application Vs Database , How Sqlite Works , Who Is Using Sqlite , How To Work With Python And Sqlite , Python Gui Programming – Tkinter , How Tkinter Program Works , Labels In Tkinter , Grids In Tkinter , Button In Tkinter , Button Click In Tkinter , Combo Box In Tkinter , Check Box In Tkinter , Radio Btn In Tkinter , Introduction To Mysql , How To Work With Python And Mysql

+ Internship Certificate

+ Data Science Inplant Training Certificate

+ Free Industrial exposure certificate + (Achievement certificate for best performers) + 2 Data Science Projects

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How to get - data science interns jobs in india ?

Apply for internship - Contact Us

Thanks for choosing our 100% Practical interactive, data science internship online . As an Intern, you will get high end technological knowledge for sure. Welcome to KaaShiv Infotech, best internship company to provide, data science internship program . Opening for Data Science intern for the year , data science internship 2021 , data science internship 2022 , data science internship 2023 is available to apply

Contact Number / Whatsapp Number

Mobile 1 : 7667662428
Mobile 2 : 7667664842
Mobile 3 : 9840678906
apply for internship

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Sample Video – Data scientist internship in india

Data science internship graduate – Demo Link :

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Check our Previous testimonials from students from Different Countries and Different States :

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More about our Company

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Our, Data Science Internship for students - Training Youtube Channels –

Our Technology Channel :

https://www.youtube.com/channel/UC2MYZHG8a56u4REI2RedtRA

 

Our Subject Channel : 

https://www.youtube.com/channel/UC9dcBYLL-ZGTy7ml8YMTlag/videos

 

Check out the colleges attended our  Internship :

Click to view more details   kaashiv infotech internship reviews

Intern Students Feedback

Check our ( Intern )Students Feedback :

Inplant training in chennai for Data Science – Feedback – https://www.kaashivinfotech.com/inplant-training-feedback

 

Data Science Internships – Feedback  – interns for data science students

 

Our Live Project:

We ranked Top 2000 technological companies in India, www.wikitechy.com

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1. Report for the internship will be provided after the completion of the programme. internship report on Data science , summer internship report on Data Science , winner internship report on Data Science - will be given

2. Regular tech updates to the students.

3. Free internship Projects given

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1. Industry Recognized, certificate for internship will be given.

2. 3 Certificates will be given ( Intern Certificate + Inplant Training Certificate & Industrial exposure certificate ) + (Achievement certificate for best performers)

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2 day / 3/ 4 / 5 / 10, 20 days or 1 month to 6 Months ( Any Number of Days – Based on student preferences)

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Data science internship for freshers work from home

Data Science Internship for Freshers

  • Data science internship in chennai for freshers – This internship can be done by the freshers to build their careers. This program will provide a clear baseline for entry-level engineers to enter the IT industry.
  • Before entering into the companies, doing an internship will give you more clarity in the programming field.
  • Data Science internship for students – Kaashiv Infotech recommends all department students, fresher and even school students to take up this training and build their career.

Summer Data Science Internships

  • Data science internship summer 2021 india – This programme becomes mandatory before completing their degree for computer science based students Due to its huge involvement and implementation flexibility in many fields.
  • The reason for doing data science internship is, real time industrial exposure is preferred by most of the companies in India. Identifying real-time internship with recognized internship certificate is very important. After completing the internship will acquire practical knowledge, analytical skills, programming skills, and problem-solving skills.
  • Data science internships program is having round the year and the students preferring, data science internship summer 2021 , data science internship summer 2022 , data science internship summer 2023 . Kaashiv Infotech is the right choice to do internships and guidance to prepare, summer internship report on data science .
  • Kaashiv offers, remote summer internships 2021 data – for all the attendees.

 

Winter internship in Data Science

  • Internship can be done by diploma studying students , engineering students or freshers and arts college students too.
  • Students can prefer the internships in the winter holidays too. Doing meaningful learning in the holidays is the best and first step towards the vision of success. The reason is, your career is getting enhanced and Practical knowledge with programming skills carves the data science interns towards cutting edge technologies.
  • Students preferring, data science winter internship 2021 , data science winter internship 2022 , data science winter internship 2023 . Kaashiv internship programme is the right choice.

 

Remote Data Science Internship

  • kaashiv offers , data science internship remotely (or) data analytics virtual internship – for the students or professionals who prefer, work from home data science internship (or) data science internship work from home
  • Our, Data Science online internship – programme provides Online portal to study anytime, online classes to study flexibly , industry recognized certificate with, data science internship questions (and) data science internship questions training – for all the attendees. Data Science internship work – can be preferred from different locations such as, data science internship chennai (or) data science internship in chennai preferred students can learn online and can come down to office to learn and resolve your doubts directly from the trainers.

 

Data Science Course

Data science internship interview questions

Is data science still in demand?

  • Over the past five years alone the number of AI-related job postings on job portals has increased by 100 percent, according to the platform’s latest AI talent report.

what does data science interns do ?

  • Data scientist interns works in the area of data science. In this internship, you work together with data science engineers who are developing AI programs. They do this by writing computer code that allows a software system to run separately.

Why Students should go for real time Data Science Internship Training ?

Data Science is not a single domain, it includes a variety of tools and techniques in order to get the right data, make sense of it and convert it into business insights. The role of a data scientist is all about playing with big numbers. It is about making sense of the numbers and hence mathematics especially statistics plays a vital part in the day to day routine of a data scientist. It combines many tools such as

  • R Programming
  • SQL
  • Python
  • Hadoop
  • SAS
  • Tableau

How to write my data science internship experience ?

How to put – data science internship experience – on your resume

  • Add the internship to your work experience.
  • Write the formal title, company, location, and date of your internship.
  • List your responsibilities throughout the internship.
  • Include any achievements or accomplishments.

How About, Data Science internship cover letter ?

  • Data science internship cover letter – Start your data science internship cover letter with a compelling opening statement.
  • Tell them why you’re the perfect candidate to resolve their future data science concerns.
  • Clarify why this specific company and position are ideal for you.

What are the responsibilities for data science internship ?

  • Identify valuable data sources and automate collection processes
  • Assume pre-processing of structured and unstructured data
  • Analyse large amounts of data to discover trends and patterns
  • Build predictive models and machine-learning algorithms
  • Combine models through ensemble modelling
  • Current information using data visualization techniques
  • Suggest solutions and strategies to business challenges
  • Collaborate with engineering and product development teams

What is the job of a intern ?

  • Data science internship job description – If you are looking for a Data Scientist to analyse large amounts of raw information to find patterns that will support improve our company.
  • We will depend on you to build data products to extract valuable business visions. In this role, you should be very analytical with an ability for analysis, math and statistics.
  • Critical thinking and problem-solving skills are essential for interpreting data. We want to see a passion for machine-learning and research.

Which is the best company for data science internship ?

Kaashiv infotech is the best company to offer data science internship . People preferring , data science internship jobs in chennai
or internship for data science students in tamilnadu , Kaashiv is the right choice and we look for, interns for Data science students too. Our company offers,
  •  1. Best Industrial Training Company for data science (and) paid data science internship .
  •  2. online industrial training for data science / Online Practical Internship for Data Science
  •  3. Duration based internships like, 6 months , 1 month, 2 month , 3 month internship for data science student
  •  4. It can be done as courses, jobs, with allowance too like, data science internship course / internship jobs for data science students / data science internship allowance
  •  5. If you search for , Data Science internships near me – kaashiv infotech will surely strikes ur mind.

What are the requirements for data science internship ?

There are no specific degree requirements used as prerequisites for data scientist intern jobs . However, most managers will be looking for a bachelor’s degree in computer science, or a related technical field. Data science internship requirements are as follows

  • Are enrolled in a degree program at the time of the internship
  • Have completed their Foundation year (at least 27 credits)
  • Have a cumulative GPA of 2.5 or above
  • International students also have specific eligibility requirements.

Which startups provide the best data science internship in india ? What are the duration of these internships? Also, are these internships free or stipend based ?

The Answer is, Kaashiv Infotech offers internship  This internship involves, practical  knowledge and real time experience . Internship duration can be from 1 day to any number of days like 6 months. Usually students will prefer 5 days to 6 months of internship.

Is doing internship in Data Science worth it? Can it add some advantage to my resume for campus placement ?

The Answer is, Yes . Internships in data science provides lot of technological and programming knowledge to the students and enable them to become professional experts

Which company is best for data science internship ?

  • Kaashiv infotech is the best company to do a data science internship. It is designed to, both, test your skills and to give you the experience of a real-world data science problem.

Do I need a degree for data science ?

  • Now you don’t need a specific degree, you do need the skills. There are three main data science skill sets: statistics, programming, and business knowledge. A data scientist needs to know statistics and math to analyze patterns in data and to operate it with different behaviors.

Which is the best institute for, data science internship jobs in bangalore ?

The Answer is, Have you tried internship in kaashiv infotech company. From Bangalore via online data science internship or through our online internship you can apply and learn. Our online internships will have, online portal , live classes from data science expert trainers with industry recognized certificates.

How to get a data science internship ?

Data Science Interview Questions and Answers

What is Data Science ?

  • Data Science is a combination of algorithms, tools, and machine learning method which helps you to find common hidden patterns from the given raw data.

 

What is logistic regression in Data Science ?

  • Logistic Regression is also named as the logit model. It is a method to estimate the binary outcome from a linear combination of predictor variables.

 

Name three types of biases that can occur during sampling

In the sampling process, there are three types of biases, which are:

  • Selection bias
  • Under coverage bias
  • Survivorship bias

 

Define Decision Tree algorithm

  • This algorithm is a supervised machine learning algorithm. It is used for Regression and Classification techniques. It permits breaks down a dataset into smaller subsets. The decision tree can able to handle both numerical and categorical data.

 

Name three disadvantages of using a linear model

Three disadvantages of the linear model are:

  • The declaration of linearity of the errors.
  • You can’t use this model for binary or count outcomes
  • There are variety of overfitting problems that it can’t solve

 

List out the libraries in Python used for Data Analysis and Scientific Computations.

  • SciPy
  • Pandas
  • Matplotlib
  • NumPy
  • SciKit
  • Seaborn

 

Explain Collaborative filtering

  • Collaborative filtering used to search for exact patterns by multiple data sources , collaborating viewpoints and various agents.

 

What is a Linear Regression ?

  • Linear regression is a statistical programming technique where the score of a variable ‘A’ is predicted from the score of a second variable ‘B’. B is denoted to as the predictor variable and A as the criterion variable.

 

What are the steps for a Data analytics project ?

The following are important steps involved in an analytics project:

  • Understand the Business problem
  • Discover the data and learn it carefully.
  • Prepare the data for modelling by finding missing values and changing variables.
  • Start running the model and analyse the Big data result.
  • Validate the model with new data set.
  • Implement the model and track the result to analyse the performance of the model for an exact period.

 

Define Artificial Neural Networks

  • Artificial Neural networks (ANN) are a special set of algorithms that have developed machine learning. It helps you to adapt according to altering input. So, the network makes the best possible result without redesigning the output norms.

 

What is Back Propagation ?

  • Back-propagation is the core of neural net training. It is the technique of tuning the weights of a neural net depend upon the error rate found in the previous period. Proper tuning of the helps you to reduce error rates and to make the model consistent by increasing its generalization.

 

What is a Random Forest ?

  • Random forest is a machine learning technique which supports you to achieve all types of regression and classification tasks. It is used for treating missing values and outlier values.

 

Define the term deep learning

  • Deep Learning is a subtype of machine learning. It is concerned with algorithms inspired by the structure called artificial neural networks (ANN).

 

What is Normal Distribution ?

  • It is a set of a continuous variable spread across a normal curve or in the shape of a bell curve. You can consider it as a continuous probability distribution which is useful in statistics. It is useful to analyse the variables and their relations when we are using the normal distribution curve.

 

Name various types of Deep Learning Frameworks

  • Pytorch
  • Microsoft Cognitive Toolkit
  • TensorFlow
  • Caffe
  • Chainer
  • Keras

 

What is reinforcement learning ?

  • Reinforcement Learning is a learning mechanism about how to map situations to actions. The end result must help you to increase the binary reward signal. In this method, a beginner is not told which action to take but instead must determine which action offers a maximum reward. As this technique built on the reward mechanism.

 

Name commonly used algorithms.

Four most commonly used algorithm by Data scientist are:

  • Linear regression
  • Logistic regression
  • Random Forest
  • KNN

 

What are the differences between Supervised and Unsupervised Machine Learning ?

Supervised learning:

Supervised learning algorithm use labelled data to get trained. The models take direct feedback to confirm whether the output that is being projected is, indeed, correct. Also, both the input data and the output data are provided to the model, and the main goal is to train the model to predict the output when it accepts new data. It can mainly divide into two parts, classification and regression. It offers exact results.

Unsupervised learning:

Unsupervised learning algorithms use unlabelled data for training purposes. In this, the models do not take any feedback, and unlike the case of supervised learning, these models classify hidden data trends. The unsupervised learning model is only provided with the input data, and its main goal is to identify hidden patterns to extract information from the unknown sets of data. It can also be classified into two parts, i.e., clustering and associations.

 

How can you avoid overfitting ?

  • By using a lot of data overfitting can be avoided, overfitting happens relatively as you have a small dataset, and you try to learn from it. But if you have a small database and you are required to come with a model based on that. In such situation, you can use a technique known as cross validation.
  • In this method the dataset splits into two section, testing and training datasets, the testing dataset will only test the model while, in training dataset, the datapoints will come up with the model.
  • In this technique,  a model is usually given a dataset of a known data on which training (training data set) is run and a dataset of unknown data against which the model is tested. The idea of cross validation is to define a dataset to “test” the model in the training phase.

 

Explain cross-validation

Cross-validation is a model validation technique for estimating how the outcomes of a statistical analysis will simplify to an independent data set. It is used in backgrounds where the objective is to forecast and one wants to estimate how accurately a model will achieve in practice.

The aim of cross-validation is to term a data set to test the model in the training phase (i.e., validation data set) to limit problems like overfitting and gain vision into how the model will generalize to an independent data set.

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