6 Months Data Science Internship & Training in Mohali

The 6 months data science internship and training in Mohali at techcadd is designed for students and beginners who want practical data science skills, hands-on project experience and a stronger resume. Over six months you learn step by step and analyse real datasets and build machine learning models with Python, working on guided tasks with mentor support.

Build Practical Data Science Skills Through a 6-Month Internship & Training

This internship and training programme is intended for B.Tech, BCA, MCA, B.Sc, diploma and other students who need a six-month internship or industrial training, as well as graduates and beginners who want to start a career in data science. The learning pathway moves from fundamentals to practical implementation, and every module combines concept sessions with hands-on work.

Typical tasks include completing module exercises, building projects with industry tools, maintaining your work on GitHub or in a portfolio, documenting what you build and presenting your projects for mentor review.

Six-Month Data Science Syllabus

Month 1 — Python for Data Science

Python syntax, data types, functions, file handling and Jupyter Notebooks.

Month 2 — Data Analysis with NumPy and Pandas

Data cleaning, transformation, grouping, merging and exploratory data analysis.

Month 3 — Statistics and Data Visualization

Descriptive and inferential statistics, probability, and charts with Matplotlib, Seaborn and Power BI basics.

Month 4 — SQL and Data Handling

SQL queries, joins, aggregations and working with databases and real-world datasets.

Month 5 — Machine Learning

Regression, classification, clustering, model evaluation and feature engineering with scikit-learn.

Month 6 — Deep Learning Basics and Capstone Project

Neural network fundamentals, an introduction to TensorFlow or Keras, and an end-to-end capstone project.

Module order and depth may be adjusted to match the current batch schedule — ask the team for the latest detailed syllabus.

Tools and Technologies You Will Use

• Python

• Jupyter Notebook

• NumPy

• Pandas

• Matplotlib

• Seaborn

• scikit-learn

• SQL

• Power BI basics

• Git and GitHub

Practical Data Science Projects and Tasks

During the programme you complete practical projects such as:

• Exploratory data analysis of a real-world dataset with insights and visual reports.

• Sales or business dashboard built from cleaned data.

• Machine learning model for prediction or classification, such as price or churn prediction.

• Capstone project covering data collection, cleaning, modelling and presentation of results.

Each project is documented so you can show it to recruiters and include it in your portfolio.

Data Science Internship & Training Eligibility

The programme is open to students pursuing or completing B.Tech, BCA, MCA, B.Sc, M.Sc, diploma or other relevant courses, and to graduates and beginners interested in data science. Basic computer knowledge is expected; no prior experience in data science is required.

To apply, share your details through the enquiry form or contact the techcadd Mohali team. The team will discuss your background, explain the selection process and confirm any documents required, such as a college letter where your university asks for one.

Duration, Format, Fees and Application Process

• Duration: 6 months

• Location: techcadd, Mohali

• Format and batch timings: confirmed with the team at the time of admission

• Fees and stipend terms: contact the team for the current details

• Next intake: contact us for the next available start date

Skills and Career Paths After the Programme

By the end of the programme you can expect practical experience with Python, Jupyter Notebook, NumPy, Pandas, Matplotlib and more, along with project documentation, teamwork and presentation skills. These skills are relevant to junior data analyst, data science intern, business analyst, machine learning trainee and reporting analyst roles. Career outcomes depend on individual effort, skills and market conditions, so the programme focuses on practical knowledge and a strong portfolio rather than guaranteeing employment.

Why Choose techcadd for Data Science in Mohali?

• A structured six-month plan that moves from fundamentals to practical implementation

• Mentor-guided, hands-on work rather than theory alone

• Practical projects that build a portfolio you can show to employers

• An institute based in Mohali, convenient for students across Mohali, Chandigarh and the Tricity

Visit the institute or speak with the team to meet the mentors and see examples of project work.

Frequently Asked Questions

How can I apply for the six-month data science internship and training in Mohali?

Fill in the enquiry form on this page or contact techcadd Mohali. The team will discuss your background and guide you through admission.

Who is eligible for this data science programme?

Students and graduates of B.Tech, BCA, MCA, B.Sc, M.Sc, diplomas and other relevant courses, as well as beginners, can apply.

What technologies are covered?

Python, Jupyter Notebook, NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, SQL, Power BI basics, Git and GitHub.

Is prior data science knowledge required?

No. Basic computer knowledge and school-level maths are enough; Python and statistics are taught from the basics.

Will I work on practical projects?

Yes. Each module includes hands-on work, and the programme ends with a capstone project.

Is the internship paid or unpaid, and what are the fees?

Please contact the team for the current fee structure and programme terms.

Is a certificate provided?

Please confirm certificate details with the team when you apply.

What career paths can this programme support?

Junior data analyst, data science intern, business analyst, machine learning trainee and reporting analyst roles.

Apply for the Six-Month Data Science Internship & Training at techcadd

Ready to build practical data science skills? Check the eligibility details above, then contact techcadd Mohali to apply and ask about the next available batch.