Data Science Full Course

Introduction to Data Science

Data Analyst vs Data Scientist vs Data Engineer

Data Science Life Cycle

Statistic for Data Science

Types of Distribution in Statistics

Bayes Theorem

Introduction to Artificial Intelligence

Introduction to Machine Learning

Types of Machine Learning

Supervised Vs Unsupervised vs Reinforced Learning

Regression Analysis

Linear Regression

Logistic Regression

Linear vs Logistic Regression

Classification of Machine Learning

Decision Tree in Machine Learning

Random Forest Algorithm

K Means Clustering Algorithm

Naive Bayes Classifier

What is Deep Learning?

Natural Language Processing

Python Libraries

Data Visualization - Tableau

Data Science Engineer Resume

Data Science Interview Questions

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Data Science Full Course for Beginners by simplilearn is curated in collaboration with real-time industry experts. This Data Science Tutorial will help you learn data science in 12 hours. The data science course will cover the major data science concepts like Artificial Intelligence, Machine Learning, Deep Learning, Supervised Learning, Unsupervised Learning, Reinforcement learning and much more. this full course covers the following

00:00:00 Data Science Full Course
00:03:24 Introduction to Data Science
01:00:16 Data Analyst vs Data Scientist vs Data Engineer
01:07:49 Data Science Life Cycle 
01:24:14 Statistic for Data Science
01:44:32 Types of Distribution in Statistics
02:09:17 Bayes Theorem
02:14:18 Introduction to Artificial Intelligence
02:18:07 Introduction to Machine Learning
02:26:49 Types of Machine Learning
02:44:14 Supervised Vs Unsupervised vs Reinforced Learning
03:21:14 Regression Analysis
03:27:35 Linear Regression
04:02:20 Logistic Regression
04:38:50 Linear vs Logistic Regression
05:04:26 Classification of Machine Learning
05:47:45 Decision Tree in Machine Learning
06:39:31 Random Forest Algorithm 
07:24:11 K Means Clustering Algorithm
08:14:10 Naive Bayes Classifier
08:57:28 What is Deep Learning?
09:35:04 Natural Language Processing
09:39:59 Python Libraries
09:55:56 Data Visualization - Tableau
10:42:34 Data Science Engineer Resume
10:47:30 Data Science Interview Questions

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Data science is the field of study that works with massive amounts of data utilizing relevant tools and techniques to derive valuable data. Companies across various industries generate vast amounts of data, so its applications range all the way from education, healthcare, and entertainment to Finance and Marketing.

Data scientists operate in many different industries. Each has a distinct role to play in issue-solving and calls for specialist skills. These professions include data preparation, mining, modeling, and model management. Using machine learning algorithms, data scientists take raw data and turn it into a wealth of information that answers the use of machine learning algorithms. 

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✅ 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

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🔥 Data Science Full Course for Beginners 2024 | Learn Data Science in 12 Hours | Simplilearn

🔥 Data Science Full Course for Beginners 2024 | Learn Data Science in 12 Hours | Simplilearn

🔥 Data Science Full Course for Beginners 2024 | Learn Data Science in 12 Hours | Simplilearn

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