Data Science Statistics Course in Mohali: Online & Offline Batches

The Data Science Statistics course in Mohali at techcadd is available in online and offline batch formats. This page explains how each format works, what stays the same in both, and how to choose the option that suits your schedule and learning style.

What the Course Teaches

Statistics is the foundation of data science: it tells you how to summarise data, measure uncertainty and decide whether a pattern is real. The course connects each concept to Python so you can apply it immediately.

Descriptive Statistics

Mean, median, mode, variance, standard deviation, percentiles, skewness and visualising distributions.

Probability

Rules of probability, conditional probability, Bayes' theorem and random variables.

Distributions

Normal, binomial, Poisson and uniform distributions, the central limit theorem and sampling distributions.

Inferential Statistics

Confidence intervals, hypothesis testing, p-values, t-tests, chi-square tests and ANOVA.

Correlation and Regression

Correlation versus causation, simple and multiple linear regression, and reading model output.

Statistics in Python

NumPy, pandas, SciPy, statsmodels, Matplotlib and Seaborn for analysis and charts.

Offline Classroom Batches

Offline batches run at the techcadd centre in Mohali. You learn face to face, work through exercises at the lab or on your own laptop, and can ask questions the moment you are stuck.

• Direct interaction with the trainer and peers

• Immediate help with code and calculation errors

• A fixed routine that helps many learners stay consistent

• Group discussions on case studies and datasets

Online Live Batches

Online batches are live, instructor-led sessions rather than pre-recorded videos. You join from home, share your screen when you need help and complete the same exercises and assignments as classroom learners.

• No travel, useful for learners outside Mohali or with busy schedules

• Screen sharing for debugging and doubt clearing

• Shared notebooks and datasets for each session

• Session recordings may be available for revision; confirm with the team

What Stays the Same in Both Formats

• Syllabus: the same modules and depth.

• Assignments: the same practice datasets and exercises.

• Projects: the same capstone, such as an exploratory analysis and hypothesis-testing report on a real dataset.

• Assessment: the same evaluation for the course certificate.

• Mentor support: doubt sessions and feedback on assignments.

How to Choose Between Online and Offline

Choose Offline If

you prefer face-to-face learning, live near Mohali, Chandigarh or Kharar, and learn better with a fixed classroom routine.

Choose Online If

you live farther away, work during the day, or are comfortable learning on a laptop with a stable internet connection.

Switching Formats

If your circumstances change, ask the team whether moving between batches is possible.

Batch Timings

Weekday and weekend batches may be offered in both formats depending on demand. Contact the team for currently open batches, timings and start dates.

Requirements for Online Learners

• A laptop or desktop able to run Python and Jupyter

• A stable internet connection and headset

• A quiet space for live sessions

• Python with Anaconda installed (help is provided during setup)

Who Should Join

Students and graduates aiming for data science or analytics, data analysts who want stronger statistical foundations, and professionals preparing for machine learning courses. School-level maths is enough to start.

Frequently Asked Questions

Is the Data Science Statistics course available online?

Yes. Live online batches are offered alongside offline classroom batches in Mohali. Confirm current availability with the team.

Is the syllabus the same online and offline?

Yes. Both formats cover the same modules, assignments and projects.

Are online classes recorded?

Recordings may be available for revision. Please confirm with the team.

Which format is better for beginners?

Many beginners like offline classes for instant help, but online live classes also offer screen sharing and doubt sessions. Choose what fits your routine.

Do I need to know Python?

Basic Python helps. The course introduces the Python libraries used for statistics.

Can I switch from online to offline later?

Ask the team whether a batch change is possible in your case.

What are the batch timings and fees?

Contact the team for the current timings and fee structure for each format.

Enquire About Data Science Statistics Batches at techcadd

To check online and offline batch availability, talk to the team. Contact techcadd Mohali to choose the format that suits you.