Python for Data Science
NumPy, Pandas, Matplotlib, Scikit-Learn, and Statistical Analysis for Data-Driven Decisions
In this course, you will: Master NumPy arrays, Pandas DataFrames, and data wrangling techniques; Visualize data with Matplotlib, Seaborn, and Plotly for insights and presentation; Apply statistical methods — Hypothesis testing, correlation, and regression analysis.

40+
Hours
7
Modules
12
Topics
4.7
Rating
Beginner-Friendly
Level
New
Batches weekly
About Python for Data Science
NumPy, Pandas, Matplotlib, Scikit-Learn, and Statistical Analysis for Data-Driven Decisions
In this course, you will: Master NumPy arrays, Pandas DataFrames, and data wrangling techniques; Visualize data with Matplotlib, Seaborn, and Plotly for insights and presentation; Apply statistical methods — Hypothesis testing, correlation, and regression analysis.
What This Training Covers
The Python for Data Science programme at Tutorsbot spans 40+ hours across 7 structured modules. Every module is built around hands-on projects and real-world scenarios — not slide-heavy theory. Your instructor walks you through each concept with live demonstrations, code reviews, and practical exercises so you can apply what you learn from day one. The curriculum is aligned with current Python industry expectations and hiring patterns.
Enrollment & Training Quality
Python for Data Science is available in 2 flexible learning modes — choose online live classes, classroom, hybrid, self-paced, or one-on-one depending on your schedule. Every batch is limited in size to ensure each learner receives personal attention, code-level feedback, and doubt resolution. Career support and certification are included with every enrolment. Tutorsbot instructors are working professionals who teach from delivery experience, and the training standard stays consistent across all modes and batches.
Course Curriculum
7 modules · 12 topics · 40 hrs
01Python for Data Science Setup and Essentials
6 topics
Python for Data Science Setup and Essentials
6 topics
- Python environment setup — Anaconda, Jupyter Notebook, and VS Code
- Python data types — Lists, tuples, dictionaries, sets, and comprehensions
- Functions, lambda expressions, and functional programming patterns
- File I/O — Reading CSV, JSON, Excel, and text files with Python
- Virtual environments, pip, and managing data science dependencies
- Jupyter Notebook — Cells, markdown, magic commands, and keyboard shortcuts
02NumPy for Numerical Computing
6 topics
NumPy for Numerical Computing
6 topics
- NumPy arrays — Creation, indexing, slicing, and reshaping
- Array operations — Element-wise, broadcasting, and vectorized computations
- Linear algebra — Matrix multiplication, dot product, and inverse
- Random number generation and statistical functions
- Boolean indexing, fancy indexing, and array filtering
- Performance — NumPy vs Python lists, memory layout, and vectorization benefits
Pandas for Data Analysis
Topics included
4 more modules available
Enter your details to unlock the complete syllabus
Enrol in This Course
All prices inclusive of 18% GST. Same curriculum & certification across all formats. Updated Aug 2026.
Online Live
Live instructor-led sessions from anywhere, with recordings for catch-up.
GST ₹2,288 included
EMI from ₹2,500/mo
or
What You Get After Completion
Every graduate receives a verified certificate, a portfolio of real projects, and dedicated career support.
Verified Certificate
Digitally signed with a permanent shareable link — not just for attendance.
LinkedIn-importable·Permanent URL·PDF download
Project Portfolio
Real, deployable projects reviewed by your instructor — ready for interviews.
Instructor-reviewed·GitHub-hosted·Interview-ready
Career Support
Résumé review, mock interviews, LinkedIn guidance, and employer introductions.
1-on-1 coaching·Mock interviews·Employer connect
Meet Your Instructor
Every Python for Data Science batch is led by a practitioner who teaches from production experience, not textbooks.
Industry Expert
Senior Technology Professional
Senior professionals with substantial hands-on delivery experience at top companies, bringing real-world projects, industry insights, and best practices.
How We Teach
- Concepts start with a real problem so theory lands in context
- Projects reviewed the way a senior colleague reviews pull requests
- Every topic includes the kind of questions you'll face in interviews
Hire Python for Data Science Talent from Tutorsbot
Companies hiring Python for Data Science talent from Tutorsbot receive pre-assessed profiles backed by project work, instructor review, and interview-ready candidates who can explain what they built and why.
Why hire from us
Project repositories with documented technical decisions
Assessment outcomes backed by instructor context
Candidate readiness shaped by interview-style practice
Project-based portfolios available
Frequently Asked Questions
Everything you need to know about Python for Data Science, answered by our training experts
1Who should take Python for Data Science?
2Does Python for Data Science include a certificate?
3Is placement support included with Python for Data Science?
4How long does Python for Data Science take to complete?
5What is the mode of delivery for Python for Data Science?
6Can I get a free demo class for Python for Data Science?
7What kind of projects will I work on in Python for Data Science?
8What if I miss a class?
9Is Python for Data Science worth it for experienced professionals?
10What is the refund policy for Python for Data Science?
11Do you offer corporate or group training?
12How are the instructors selected at Tutorsbot?
13Will I get lifetime access to Python for Data Science materials?
14Can I switch between batch timings?
15What support do I get after completing the course?
Still have questions?
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