Python for Data Scientist Training
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
Placement Client
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About Python for Data Scientist Training
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.
Training Plan
About trainer
Working professional who is carrying more then 10 years of industry experience.
Decks & Updated Content
Access to updated presentation decks shared during live training sessions.
e-Book
E-book provided by TechPratham. All rights reserved.
Assignments & MCQs
Module-wise assignments and MCQs provided for practice.
Video Recording
Daily Session would be recorded and shared to the candidate.
Projects
Live projects will be provided for hands-on practice.
Resume Building
Expert-guided resume building with industry-focused content support.
Interview Preparation
Comprehensive interview preparation with real-time scenario practice.
Python for Data Scientist Training
Course Curriculum
Introduction to Python for Data Science
Get started with Python basics and environment setup.
Python Certification Training Courses
No related courses found
Additional Program Highlights
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Who Should Take Python for Data Scientist Training
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Working Professionals
Ops/Administrators/HR
Developers
BA/QA Engineers
Cloud / Infra
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Key Projects
<h1><strong>Python for Data Scientist Training</strong></h1>
Customer Churn Prediction
Use telecom data to make a machine learning model that can predict customer churn. Use evaluation metrics to apply data cleaning, feature engineering, and classification algorithms.
Sales Data Analysis & Visualization
Use Pandas and Seaborn to do exploratory data analysis (EDA) on retail sales data. Make dashboards that give you useful information and help you find sales trends and growth opportunities.
Movie Recommendation System
Use collaborative filtering and similarity measures to make a recommendation system that suggests movies to users based on what they like and what they've watched before.
Placement Process
Live Class with Industry Use Cases
- Interactive learning
- Real-world examples
- Expert guidance
- Doubt resolution
Daily Assignment & Weekly Assessments
- Hands-on practice
- Concept reinforcement
- Weekly evaluation
- Timely feedback
Project Testing & Deployment
- Project development
- Testing practice
- Deployment exposure
- Portfolio creation
Interview Preparation (Mock, PD, Alumni Session)
- Mock interviews
- Personal development
- Alumni guidance
- Confidence building
Resume Building
- Resume crafting
- Industry-focused format
- Skills highlighting
- Professional presentation
Placement
- Job assistance
- Interview support
- Career guidance
- Opportunity access
Knowledge Center
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Course FAQs
Do I need prior programming knowledge to take this course?
Industry-Recognized Certification
India
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Noida Office
C-2, Sector-1, Noida, Uttar Pradesh - 201301
India
Hyderabad Office
LVS Arcade, 6th Floor, Hitech City, Hyderabad