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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,
- Python Basics – Python Programming, Python Installation
- R- Programmming Introduction – Business Analytics, Data, Information , Compare R with other software in analytics
- Data Manipulation in R – Data sorting , Find and remove duplicates record , Cleaning data , Recoding data & its implementation
- Data Processing in Data Science – Data Processing techniques & its implementation
- Exploratory Data Analysis – Visualizing Data
- Statistical Analysis in Data Science – Median , Quartiles , Correlation , Covariance , Regression , Linear Regression , Non Linear Regression, Multiple Regression
- Web Scraping and Data Science Algorithm – Introduction to BeautifulSoup , Scraping data from Web , Data parsing
WHAT WE GIVE?
Certificates and Documents we offer for this Training
- Internship Certificate.
- Project Completion Certificate.
- Inplant Training(IPT) Certificate.
- Free Workshop Certificate.
- Free Corporate Training Test certificate.
- Training Documents.
- Sample Resume for Placement.
- Useful Softwares.
- Internship Report.
- Our AI Training Portal Access.
Why Internship is Important?
DATA SCIENCE INTERNSHIP
Learn by Doing
Put your skills to work on real projects, not just practice problems.
Find Your Passion
Try different areas of data science internship to see what clicks
Level Up Your Skills
Gain practical experience that will impress future employers
Boost Your Resume
Show employers you're serious and have what it takes
BEST COMPANY OFFERING DATA SCIENCE INTERNSHIP IN CHENNAI
Why to choose KaaShiv Infotech for
data science internship
The Course curriculum for data science internship is carefully researched and prepared by professionals from MNC to meet the demands expected in the current IT industries. After completing data science internship 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.
data science internship in chennai
Short Term Internship ( data science internship )
Learn and Implement
45 Concepts Covering 7 Technologies
+ 2 Projects
Short Term - data science internship
- 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 Project Report creation
- KaaShiv Infotech is top under, data science internship , 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 |
best data science internship – Syllabus100% Practical – Live HandsOn – data science internship |
|---|---|
| Topic 1 : | Python – Basics How Python code works with data science , DOWNLOAD & INSTALL PYTHON and data science libraries, (Python Data Science Tool – How to work ) |
| Topic 2 : | What is R programming Business Analytics, Data, Information , Compare R with other software in analytics , Install R , Perform basic operations in R using command line , Learn the use of IDE R Studio , Use the ‘R help’ feature in R |
| Topic 3 : | Introduction to R programming Variables in R , Scalars , Vectors , Matrices , List , Data frames |
| Topic 4 : | What is Data Analytics – Data Manipulation in R Data sorting , Find and remove duplicates record , Cleaning data , Recoding data , Merging data , Slicing of Data , Merging Data , Web Scraping |
| Topic 5 : | Data Processing in Data Science
Selecting rows/observations , Selecting columns/fields , Vectorized Processing , Split , Merging data , Relabelling the column names , Sorting , Optimized Data Processing , Groupby , Aggregate , Apply , Multiple functions for same data , Same function for multiple data , Multiple functions for multiple data |
+ Data Science Internship Certificate
+ Data Science Inplant Training Certificate
+ Free Industrial exposure certificate + (Achievement certificate for best performers) + 1 Data Science Projects
Learn and Implement
70 to 400 Concepts Covering 9 Technologies
+ 3 to 4 Projects
Long Term - data science internship
- 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 , 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.
S.No |
summer data science internship 100% Practical – Live HandsOn – data science internship |
|---|---|
| Topic 1 : | Python – Basics What is Python?, Why Python?, Tuple, List, Dictionary ,Numpy Array , Numpy Matrix , Pandas Data Frame , Tools and Frameworks In Python , How Python code works with data science , DOWNLOAD & INSTALL PYTHON and data science libraries, Python Data Science Tool – How to work |
| Topic 2 : | What is R programming Business Analytics, Data, Information , Compare R with other software in analytics , Install R , Perform basic operations in R using command line , Learn the use of IDE R Studio , Use the ‘R help’ feature in R |
| Topic 3 : | Introduction to R programming Image Processing , Signal Processing ( HandsOn Image processing and Mathematical processing ) |
| Topic 4 : | What is Data Analytics – Data Manipulation in R Data sorting , Find and remove duplicates record , Cleaning data , Recoding data , Merging data , Slicing of Data , Merging Data , Web Scraping |
| Topic 5 : | Data Processing in Data Science
Selecting rows/observations , Selecting columns/fields , Vectorized Processing , Split , Merging data , Relabelling the column names , Sorting , Optimized Data Processing , Groupby , Aggregate , Apply , Multiple functions for same data , Same function for multiple data , Multiple functions for multiple data |
| Topic 6 : | Exploratory Data Analysis – Visualizing Data Reading external csv file , Reading Options , Process read data , Writing csv file , Visualization , Histogram , Boxplot , Scatter Plot , Line Plot , Line chart , Pareto charts |
| Topic 7 : | Statistical Analysis in Data Science Median , Quartiles , Correlation , Covariance , Regression , Linear Regression , Non Linear Regression, Multiple Regression , Model evaluation , Prediction using built model , clustering, Need for clustering , k-means clustering theory , Clustering is use case data , Visualization of clusters , dimensionality reduction , Eigen Value Decomposition , Principal Component Analysis , web scraping |
| Topic 8 : | Web Scrapping and Data Science Algorithm Implementation Introduction to BeautifulSoup , Scraping data from Web , Data parsing , classification , k-nn classification theory , Naïve Bayes Classification theory , Decision Tree , Random Forest |
+ Data Science Internship Certificate
+ Data Science Inplant Training Certificate
+ Free Industrial exposure certificate + (Achievement certificate for best performers) + 2 Data Science Projects
Apply for data science internship
Contact Number / Whatsapp Number
- Mobile 1 : +91 7667662428
- Mobile 2 : +91 7667664842
- Mobile 3 : +91 9840678906
Email ID
5 DAYS – data science internship
DAY 1: data science internship
- Introduction Of Data Science.
- Data Science Environmental Setup
- Python – Basics
DAY 2: data science internship
- Introduction to R programming
- Business Analytics, Data, Information
- Compare R with other software in analytics , Install R
DAY 3: data science internship
- What is Data Analytics – Data Manipulation in R
- Data Processing in Data Science
- Multiple functions for same data , Same function for multiple data ,
- Multiple functions for multiple data.
DAY 4: data science internship
- Exploratory Data Analysis – Visualizing Data
- Reading external csv file , Reading Options ,
- Process read data , Writing csv file , Visualisation.
DAY 5: data science internship
- Statistical Analysis in Data Science
- Web Scraping and Data Science Algorithm Implementation
- Project Idea
- Project Work
What do data science interns do?
Core Responsibilities:
- Data Processing and Cleaning: You’ll likely assist with preparing data for analysis. This could involve tasks like:
- Importing data from various sources
- Handling missing values and inconsistencies
- Transforming data into a format suitable for analysis
- Exploratory Data Analysis (EDA): You might be involved in exploring and visualising data to understand trends, patterns, and relationships. This could involve:
- Creating charts and graphs
- Summarising data using statistical methods
- Identifying potential areas for further analysis
- Machine Learning : Kaashiv infotech provides machine learning models, there might be opportunities to get exposure to basic machine learning concepts through:
- Assisting with data preparation for machine learning models built by senior data scientists.
- Implementing simple machine learning algorithms for specific tasks under guidance.
Skills Developed During the Internship:
- Data analysis skills (using tools like Python)
- Data visualisation techniques
- Problem-solving and critical thinking
- Communication and collaboration skills
- Basic understanding of machine learning concepts (potentially).
Does data science require coding?
Yes, data science at Kaashiv infotech and in general does require coding. Here’s why:-
Machine Learning:
Even if the focus at Kaashiv infotech is on basic machine learning for interns, some level of coding is involved. This could involve: - Using libraries like scikit-learn (Python) to implement algorithms for tasks like classification or regression.
- Writing code to prepare data for machine learning models built by senior data scientists.
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Data Visualization:
Creating data visualisations like charts and graphs is another core responsibility of data scientists. These visualisations are typically created using programming libraries like Matplotlib or Seaborn in Python.
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Data Manipulation and Analysis:
A significant portion of a data scientist’s work involves preparing, cleaning, and analysing data. At Kaashiv infotech, their internship description mentions data processing and cleaning tasks that often rely on programming languages like Python.
Which language is used in data science?
Kaashivinfotech’s data science program, Python is likely the primary language used for data science tasksIndustry Standard:
Python is the most popular and widely used programming language in data science due to its readability, extensive libraries, and large community support. While Python is dominant, there’s a chance they might use other languages in specific situations:R:
R is another popular language used for statistical analysis and data visualisation. It’s less likely to be the primary language at Kaashiv infotech, but it might be used for specific tasks where R offers certain advantages.SQL:
SQL is a language used to interact with relational databases. Data scientists often need to extract data from databases for analysis, and SQL is the standard language for this purpose.- The specific language used for a particular project might depend on the project’s requirements and the preferences of the senior data scientists involved.
- If you’re interested in a data science internship at Kaashiv infotech, focusing on learning Python would be the most strategic approach, as it’s the most widely used and versatile language in the field.
- Once you have a strong foundation in Python, you can explore other languages like R or SQL to expand your skill set.
Is Python easy to learn?
Whether Python is easy to learn depends on your prior programming experience.For Beginners:
- Relatively Easy Compared to Other Languages: Python is often considered one of the easiest programming languages to learn, especially for beginners with no prior coding experience. This is because:
- Readability: Python’s syntax is known for being clear and concise, resembling natural language to some extent. This makes it easier to understand code structure and logic compared to languages with complex syntax.
- Focus on Functionality: Python prioritises readability and functionality over complex technicalities, making it easier to grasp core concepts without getting bogged down in the details.
Factors Affecting Ease of Learning:
- Prior Programming Experience: If you have experience with other programming languages, especially those with similar logic (like Java or C++), picking up Python will be considerably easier.
- Learning Resources: The abundance of online tutorials, courses, and beginner-friendly documentation makes learning Python accessible. Kaashiv infotech itself might offer some resources as part of their data science course.
- Dedication and Practice: Like any skill, mastering Python requires consistent practice and dedication. The more you code and experiment, the more comfortable you’ll become.
Here are some additional tips for learning Python:
- Start with the basics: Focus on understanding fundamental programming concepts before moving on to more complex topics.
- Practice coding regularly: The best way to learn Python is to write code yourself. There are many coding challenges and projects that can help you practise your skills.
Can a fresher become a data scientist?
It is possible for a fresher (someone with no prior work experience) to land a data science internship at Kaashiv infotech, but it might be challenging to secure a full-time data scientist position straight out of college.Data Science Internship:
- Kaashiv infotech Internship Program: They offer data science internships specifically aimed at freshers or students.
- Focus on Learning: These internships are likely designed to provide foundational knowledge and practical experience in data science.
- Skills Development: The internship can help you develop essential skills like data analysis, visualisation, and basic programming (likely using Python).
Challenges for Freshers in Full-Time Roles:
- Experience Requirement: Many full-time data scientist positions typically require some level of work experience (often 2-3 years) applying data science skills in real-world projects.
- Advanced Skills: Full-time roles often demand more advanced skills in areas like machine learning model development, data wrangling with complex datasets, and experience with various data science tools and libraries.
What Freshers Can Do:
- Internship is a Stepping Stone: A data science internship at Kaashiv infotech can be a great way to gain valuable experience and build your resume.
- Develop Skills: Focus on developing the necessary skills during your internship and through personal projects. Learn Python, data analysis techniques, and explore basic machine learning concepts.
- Network and Build Connections: Network with data scientists at Kaashiv infotech or other companies. These connections can be valuable sources of guidance and potential future opportunities.
FAQ'S
Data science internship in chennai FAQs: Frequently Asked Questions
Frequently Asked Questions: data science internship at KaaShiv Infotech
What is the address of KaaShiv Infotech in Chennai, and how accessible is it?
KaaShiv Infotech is located at 3A, 1st Cross Street, Pallavan Nagar, near Shembaga Bhavan Hotel and left to Sri Balaji Bakery, Maduravoyal, Chennai, Tamil Nadu 600095. The office is strategically located in Maduravoyal, a well-connected area in Chennai, easily accessible via public transport such as buses and nearby metro stations (e.g., Koyambedu Metro Station). It is also reachable by private vehicles with parking available nearby. For precise directions , contact KaaShiv Infotech at +91 7667663035 or visit http://www.kaashivinfotech.com.
Can I join the internship during summer or winter holidays?
Yes, KaaShiv Infotech offers summer internships (February to July) and winter internships (September to February), making it convenient for students to join during holiday periods.
For more information, visit http://www.kaashivinfotech.com or contact +91 7667663035.
What are the career benefits of this internship?
The internship equips you with:
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Industry-relevant skills in data science, machine learning, and data analytics.
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Certifications to enhance your resume and job prospects.
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Practical experience through real-time projects, making you industry-ready.
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Potential job offers for top performers and guidance for placements.
Is the internship free or paid?
The Data Science Internship may involve a fee, depending on the program and duration. However, after 6 months of a regular paid internship, it may become free, and top performers may receive a stipend. For specific fee details, contact KaaShiv Infotech directly at http://www.kaashivinfotech.com.
How can I apply for the Data Science Internship?
To apply:
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Fill out the online internship form at Apply for Internship Link.
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Contact KaaShiv Infotech via phone or WhatsApp at +91 7667663035 or +91 7667662428 for further details.
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Specify your preferred start date and duration in the application.
Does the Data Science Internship require coding?
Yes, coding is a core component of the Data Science Internship. Interns will work with Python (e.g., using scikit-learn for machine learning) and R programming for tasks like data manipulation, data cleaning, and visualization. Basic coding skills are beneficial but not mandatory, as the program covers fundamentals to advanced concepts.
What is the training methodology at KaaShiv Infotech?
The training is delivered by Microsoft Awarded Most Valuable Professionals and industry experts from MNCs. It includes:
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100% practical training with separate machines for hands-on experience.
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Real-time project work to enhance technical skills.
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Technological guidance and materials provided throughout the year.
Is there any stipend or job opportunity after the internship?
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After 6 months of a regular paid internship, the internship may become free, and top performers may receive a stipend.
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Best interns may be offered job opportunities at KaaShiv Infotech or other companies, depending on performance.
Does the internship involve real-time projects?
Yes, the internship emphasizes real-time project development, allowing students to work on practical projects that simulate industry scenarios. Interns typically complete 1-2 projects, and a project report is provided upon completion.
Is the internship online or offline?
KaaShiv Infotech offers both online and offline Data Science Internships, providing flexibility for students to choose their preferred mode of learning. Online internships are ideal for those unable to attend in Chennai.
Are there any certifications provided upon completion?
Yes, upon completing the internship, you will receive:
- Internship Certificate
- Inplant Training (IPT) Certificate
- Industrial Exposure Certificate
- Achievement Certificate (for best performers) Additionally, you will receive an Internship Report, training materials, and access to sample resumes for placement.
What skills will I learn during the internship?
Interns will gain hands-on experience in:
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Python Basics: Python programming, installation, and using libraries like scikit-learn for machine learning tasks.
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R Programming: Business analytics, data manipulation, data sorting, cleaning data, and recoding data.
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Data Processing: Techniques for data cleaning and preparation for analysis.
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Exploratory Data Analysis (EDA): Exploring and visualizing data to identify trends, patterns, and relationships.
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Machine Learning: Assisting with data preparation for machine learning models and implementing basic algorithms under guidance.
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Data Visualization: Creating charts and graphs to present data insights.
What is the duration of the Data Science Internship?
The internship is flexible, with durations ranging from:
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1 day, 2 days, 3 days, 5 days, 10 days, or any number of days based on student preference.
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Extended programs like 1 month to 6 months are available for customized schedules, including summer internships and winter internships.
Who can apply for the Data Science Internship?1st, 2nd, 3rd, and 4th-year students from engineering (e.g., CSE, IT, ECE, EEE), BCA, MCA, B.Sc, M.Sc, and other related disciplines. Freshers, job seekers, and passed-out students interested in building their data science skills. School students seeking early exposure to data science and programming.
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1st, 2nd, 3rd, and 4th-year students from engineering (e.g., CSE, IT, ECE, EEE), BCA, MCA, B.Sc, M.Sc, and other related disciplines.
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Freshers, job seekers, and passed-out students interested in building their data science skills.
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School students seeking early exposure to data science and programming.
What is the Data Science Internship at KaaShiv Infotech?
The Data Science Internship in Chennai at KaaShiv Infotech is a practical training program designed to provide in-depth knowledge of data science concepts, tools, and methodologies. It focuses on real-time project development, covering areas like Python programming, R programming, data manipulation, data processing, machine learning, and data visualization. The program aims to enhance students’ technical skills and prepare them for job opportunities in the IT industry.
