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Data Science with Python Certification Training — brochure
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Assure Success
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Assure SuccessCourse brochure 2026Go from raw data to a deployed machine learning model with Python in 42 live instructor-led hours
Course fee
₹42,999₹69,499
Enroll online at assuresuccess.in or call +91 93517 82674
Scan to view the course and enroll · Fees as on 27 Oct 2026
About the course
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.
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.
Portfolio-ready capstone
A documented notebook and presentation you can share on GitHub or your CV.
Live doubt-clearing
Scheduled live sessions let you ask questions and see the instructor debug real code.
Current tooling
Covers today's Python stack and how to use AI coding assistants responsibly while still understanding the code.
Foundation for advanced paths
Prepares you for deep learning, NLP, generative AI or data engineering courses.
Curriculum
Data Science Landscape and Python Basics
Understand the data science lifecycle and become productive in Python and Jupyter.
NumPy and pandas
Handle tabular data efficiently.
Data Cleaning and Preparation
Turn messy raw data into analysis-ready data.
Exploratory Data Analysis and Visualisation
Explore data visually and numerically to find patterns.
Statistics for Data Science
Use statistics to support decisions with evidence.
Supervised Learning
Build and tune regression and classification models.
Curriculum (continued)
Model Evaluation and Feature Engineering
Judge models honestly and improve them.
Unsupervised Learning
Find structure in unlabelled data.
Working with Generative AI and Sharing Models
Use AI assistants well and package a model for others.
Capstone Project
Deliver a complete data science project.
Your certificate
Enrol in a scheduled live batch and receive your course schedule and setup guide
Attend the live sessions and complete the hands-on assignments after each module
Complete the capstone project and present it for instructor review
Meet the course attendance and assessment criteria shared at the start of the batch
Receive your Assure Success course-completion certificate
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
Train and tune regression, classification and clustering models using pipelines and cross-validation.
Model evaluation
Choose the right metric (RMSE, precision/recall, ROC-AUC) and detect overfitting and data leakage.
Communicating results
Document analysis in notebooks and present a model's business impact in plain language.
Your future
Careers after this course
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.
Expert trainers
Certified instructors with real project experience.
Exam practice
Practice questions and mock tests.
Flexible batches
Weekday and weekend batches.
Exam support
Help with eligibility, vouchers and booking.
Ready to get certified?
Course fee ₹42,999. Enroll at assuresuccess.in/course/data-science-with-python
📞 +91 93517 82674✉️ info@assuresuccess.in💬 WhatsApp +91 93517 82674
Assure Success. Exam details are set by the certifying body and may change — check the official website before booking. All trademarks belong to their owners.