The Python for Data Scientist Training course teaches you how to program in Python, analyze data, make graphs, and use machine learning. Learn how to use core libraries like NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn to solve data problems in the real world.
Level
Advanced
Duration
8 weeks



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This Python for Data Scientist Training is meant to help both new and experienced users learn how to use Python for data science and analytics. You will learn how to work with datasets, do exploratory data analysis, and make interesting visualizations. The course teaches how to use Python libraries to wrangle data, do statistical analysis, machine learning algorithms, and evaluate models. You'll be able to make data-driven solutions and predictive models for business insights by the end of this training.
Working professional who is carrying more then 10 years of industry experience.
Access to updated presentation decks shared during live training sessions.
E-book provided by TechPratham. All rights reserved.
Module-wise assignments and MCQs provided for practice.
Daily Session would be recorded and shared to the candidate.
Live projects will be provided for hands-on practice.
Expert-guided resume building with industry-focused content support.
Comprehensive interview preparation with real-time scenario practice.
Introduction to Python for Data Science
Get started with Python basics and environment setup.
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Scenario: Built a Python based data science solution to analyze massive search query logs, detect trends, user intent patterns, and improve ranking accuracy.
Scenario: Developed a Python analytics model to study user engagement, content interactions, sentiment trends, and optimize feed ranking strategy effectively.
Scenario: Designed a Python machine learning pipeline to evaluate viewing patterns, predict churn probability, and enhance personalized content suggestions.
Scenario: Implemented Python based data science workflow to analyze listening behavior, cluster user preferences, and refine song recommendation engine.

Additional Support We Provide
24/7 Support
LinkedIn Profile
Resume Writing
Alumni Sessions
Interview Preparation
Live Projects
Do I need prior programming knowledge to take this course?

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