Data Science with Pandas & NumPy Course in Mohali: Online & Offline Batches

The Data Science with Pandas & NumPy course in Mohali at techcadd is available in online and offline batches. NumPy and Pandas are the core Python libraries for numerical computing and data analysis, and both batch formats teach them through the same hands-on notebooks and datasets.

Online or Offline: Choosing Your Batch

Offline Classroom Batches

Learn at the techcadd centre in Mohali with face-to-face guidance. Classroom batches suit learners who like structured routines and want to ask questions while writing code.

Online Live Batches

Join live, interactive sessions from home. Trainers share their screen, explain code step by step and review your notebooks, which suits working professionals and learners outside Mohali.

Same Content in Both

Both modes follow the same syllabus, exercises and project work, so you can choose purely on convenience.

What You Learn

Python Refresher

Data types, lists, dictionaries, functions and using Jupyter Notebook or Google Colab.

NumPy Arrays

Creating arrays, dtypes, indexing and slicing, broadcasting, vectorised operations, aggregation, reshaping and random number generation.

Pandas Series and DataFrames

Reading CSV and Excel files, selecting with loc and iloc, filtering, sorting and adding columns.

Data Cleaning

Handling missing values, duplicates, data types, string methods and date-time parsing.

Grouping and Reshaping

groupby with aggregations, pivot tables, melt, merge, join and concat.

Visualisation Basics

Plotting with Matplotlib and Seaborn directly from DataFrames to explore patterns.

Practical Projects

• Clean and analyse a retail sales dataset to find top products and monthly trends

• Merge customer and order tables and calculate customer-level metrics

• Analyse a public dataset such as weather or transport data with time-based grouping

• Build an exploratory data analysis notebook with charts and written insights

Tools Used

• Python

• NumPy

• Pandas

• Jupyter Notebook and Google Colab

• Matplotlib and Seaborn

• Excel and CSV data sources

Who Can Join

• Students and graduates starting a data science or analytics path

• Excel users who want to automate analysis with Python

• Developers moving into data roles

• Working professionals who prefer online evening or weekend learning

Basic Python knowledge helps; a short refresher is included at the start.

Batch Timings, Duration and Fees

Batch timings, duration and fees may vary between online and offline modes. Contact the techcadd Mohali team for the current fee structure, upcoming start dates and seat availability.

What Comes Next

Pandas and NumPy are the foundation for machine learning with scikit-learn, feature engineering and data visualisation, so time spent practising them pays off in every later data course. Skills from this course are used in data analyst and junior data scientist roles; outcomes depend on effort, skills and market conditions.

Frequently Asked Questions

Is the online Pandas course the same as the offline one?

Yes, both follow the same syllabus and projects. Only the delivery mode differs.

Do I need to know Python?

Basic Python is helpful. A short refresher is included at the start of the course.

What software do I need for online batches?

A laptop with Python and Jupyter, or a browser for Google Colab, plus a stable internet connection.

Can I switch between online and offline modes?

This may be possible depending on availability. Confirm with the team.

Will I work with real datasets?

Yes, the course uses public and sample business datasets for practice and projects.

Is a certificate provided?

Certificate details depend on course completion. Please confirm with the team.

Enquire About Pandas & NumPy Batches at techcadd

Want to know which batch suits your schedule? Contact techcadd Mohali to ask about online and offline timings.