Data Science with Python Certification Training
Go from raw data to a deployed machine learning model with Python in 42 live instructor-led hours
- Duration
- 42 hours
- Format
- Live online
- Modules
- 10 modules
- Certificate
- On completion
- ✓42 hours of live online instructor-led training in scheduled batches
- ✓Full workflow: data wrangling, visualisation, statistics, machine learning and model sharing
- ✓Hands-on with pandas, NumPy, Matplotlib/Seaborn, scikit-learn and Jupyter
- ✓Includes an introduction to generative AI tools for coding and analysis
- ✓Capstone project on a real-world dataset for your portfolio
- ✓Assure Success course-completion certificate on meeting attendance and project criteria
About the course
What this course covers
Data Science with Python is a practical, end-to-end programme that teaches you how a data science project actually runs: asking a business question, collecting and cleaning data, exploring it, building a predictive model, checking whether it can be trusted, and presenting the result. Python is used throughout because it is the most widely used language for data work in Indian analytics teams, startups and global capability centres.
You work in Jupyter notebooks with pandas and NumPy for data handling, Matplotlib and Seaborn for charts, SciPy and statsmodels for statistical testing, and scikit-learn for regression, classification, clustering and model evaluation. Each session mixes a short concept explanation with guided coding, and assignments between sessions make sure you practise on messy, realistic data rather than tidy textbook tables.
The programme ends with a capstone in which you take one dataset from problem statement to a documented notebook and a short presentation. On completion you receive an Assure Success course-completion certificate. This course has no external vendor exam, so the value you carry away is the skill and the portfolio project.
Who should attend
- ● Fresh graduates in engineering, science, statistics or commerce who want an entry into data roles
- ● Working professionals in IT, finance, operations or marketing who want to move into analytics or data science
- ● MIS and reporting analysts who currently work in Excel and want to automate and predict
- ● Software developers who want to add data science and machine learning to their skill set
Key skills
Skills you will walk away with
Python for data work
Write clean Python using data types, functions, loops, comprehensions and modules suited to analysis tasks.
Data wrangling with pandas
Load, clean, reshape, merge and aggregate tabular data, including missing values, duplicates and date handling.
Exploratory data analysis
Summarise distributions, spot outliers and relationships, and form hypotheses before modelling.
Data visualisation
Build clear charts with Matplotlib and Seaborn that communicate a finding to non-technical stakeholders.
Statistics for decisions
Apply probability, sampling, confidence intervals and hypothesis tests to judge whether a pattern is real.
Machine learning with scikit-learn
Curriculum
Module-by-module syllabus
10 modules · 49 topics · 42 hours
1Module 1: Data Science Landscape and Python Basics5 topics ▾
Learning objective: Understand the data science lifecycle and become productive in Python and Jupyter.
- ▸ Data science lifecycle and roles
- ▸ Setting up Anaconda, Jupyter and Google Colab
- ▸ Variables, data types, strings, lists, dictionaries
- ▸ Control flow, functions and modules
- ▸ Reading and writing files (CSV, Excel, JSON)
2Module 2: NumPy and pandas5 topics ▾
Learning objective: Handle tabular data efficiently.
Schedules
Upcoming live batches
Enroll now and choose your batch dates
Send an enquiry and we'll reserve your seat in the next batch.
Certification
How you get certified
- 1Enrol in a scheduled live batch and receive your course schedule and setup guide
- 2Attend the live sessions and complete the hands-on assignments after each module
- 3Complete the capstone project and present it for instructor review
- 4Meet the course attendance and assessment criteria shared at the start of the batch
- 5Receive your Assure Success course-completion certificate
Career outcomes
Roles this opens up
Junior Data Scientist
₹5–12 LPA (approx.)Builds and tests predictive models and analyses under a senior data scientist.
Data Analyst (Python)
₹3.5–8 LPA (approx.)Cleans data, automates reporting and answers business questions with Python and SQL.
Machine Learning Associate
₹5–12 LPA (approx.)Supports model training, feature engineering and evaluation in an ML team.
Business Intelligence Analyst
₹4–9 LPA (approx.)Combines dashboards with Python-based analysis for management reporting.
Salary ranges are approximate figures for India and vary by city, company and experience.
Why this certification is worth it
Complete workflow, not just theory
You practise every stage from data cleaning to model evaluation, so you can talk about a full project in interviews.
Why Assure Success
Learn it once, pass it once
Trainers from the field
Every session is led by a practitioner who uses this material at work.
Batches that fit your week
Weekday and weekend batches in IST, scheduled for working professionals.
Exam-style practice
Practice questions and, where available, a full simulator free with the course.
Exam voucher help
Discounted vouchers and step-by-step help booking your exam.
Human support
WhatsApp support Mon–Sat, 9 AM–8 PM IST — a person answers.
Pay your way
UPI, cards, netbanking and EMI in India; international cards accepted.
FAQs
Questions learners ask us
Q.I am from a non-IT background. Can I learn data science with Python?
Yes. The course starts with Python basics and builds up slowly. Many learners come from commerce, science and operations backgrounds. You will need to practise regularly between sessions.
Q.Do I need to be good at mathematics?
School-level maths is enough to begin. The statistics and ML concepts are explained intuitively first and then with formulas, and you apply them through code rather than hand calculation.
Q.Is there an official exam at the end?
No external vendor exam is attached. You complete a capstone and receive an Assure Success course-completion certificate. Employers mostly judge data science candidates on projects and interview performance.
Q.Will this course get me a job?
No course can promise a job. We teach job-relevant skills and help you build a portfolio project; results depend on your practice, background and the market.
Q.What tools do I need to install?
Only Anaconda (or Google Colab in the browser). Setup help is given in the first session. A laptop with 8 GB RAM is comfortable.
Q.Will I learn deep learning and generative AI here?
Reviews & questions (0)
Log in to join the discussion.
No comments yet.
Still have a question?
Tell us what you need — we reply the same working day.
₹42,999
Data Science with Python Certification Training