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Data Science Full Course 2025 | Data Science Tutorial | Data Science Training Course | Simplilearn

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simplilearn

2025

Автор: Simplilearn

Загружено: 2025-09-18

Просмотров: 3785

Описание: 🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/big-data-...
🔥Purdue - Professional Certificate in Data Science and Generative AI - https://www.simplilearn.com/pgp-data-...
🔥Brown University - Applied AI & Data Science - https://www.simplilearn.com/applied-a...

This Data Science Full Course 2025 by Simplilearn, course begins with an introduction to data science, building a strong foundation in the field. You’ll then dive into probability and statistics and the essential mathematics for machine learning, which form the backbone of data-driven problem-solving. The program continues with a roadmap to data science, guiding you on skills and tools needed for career growth. From there, you’ll study key machine learning algorithms, including classification, decision trees, random forests, K-means clustering, and Naive Bayes, before moving into deep learning concepts. Finally, the course concludes with data science interview questions and answers to help you prepare for real-world job opportunities.

Following are the topics covered in Data Science Full Course 2025:

00:00:00 - Data Science Full Course 2025
00:02:08 - Introduction to Data Science
03:07:51 - Probability and Statistics
03:54:10 - Mathematics for Machine Learning
05:44:34 - Roadmap to Data Science
05:53:46 - Machine Learning Algorithms
Classification of Machine Learning
Decision Tree in Machine Learning
Random Forest Algorithm
K Means Clustering Algorithm
Naive Bayes Classifier
What Is Deep Learning?
09:10:45 - Data Science Interview Questions and Answers

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Science tutorial videos:    • Data Science In 5 Minutes | Data Science F...  

#datascience #datasciencecourse #datascienceroadmap #datascientist #datascienceforbeginners #datasciencetools #simplilearn #2025

✅ About Post Graduate Program In Data Science:
This in-depth Data Science program is designed for working professionals, and covers job-critical topics like R, Python programming, Machine Learning techniques, NLP notions, and Data Visualization with Tableau, using an active learning model that includes live sessions from global professionals, practical labs, IBM Hackathons, and corporate ready projects

Key Features
✅ Program completion certificate from Purdue University Online and Simplilearn
✅ Access to Purdue’s alumni association membership on program completion
✅ Core curriculum delivered in live online classes by industry experts
✅ Industry-recognized IBM certificates for IBM courses
✅ Engage in live online masterclasses led by Purdue faculty, staff, and IBM experts
✅ Exclusive hackathons and Ask Me Anything (AMA) sessions by IBM
✅ Gain exposure to ChatGPT, Gemini, Keras, TensorFlow and other prominent tools
✅ Interactive sessions on the latest AI trends, such as GenAI, prompt engineering, LLMs, and more
✅ 3 capstones and 25+ hands-on projects from various industry domains
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Model Building and Finetuning
✅ Supervised and Unsupervised Learning
✅ Ensemble Learning
✅ Deep Learning
✅ Data Visualization
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Explainable AI
✅ Machine Learning Algorithms
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Speech Recognition

Learning Path
✅ Program Induction
✅ Programming Refresher
✅ Data Management using SQL
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning Specialization

👉 Enroll Now: https://www.simplilearn.com/pgp-data-...

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Data Science Full Course 2025 | Data Science Tutorial | Data Science Training Course | Simplilearn

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