Data Science Course - Learn Data Science in 13 hours - Full Course for Beginners - Intellipaat
7,712🔥Intellipaat Data Science course: https://intellipaat.com/data-science-architect-masters-program-training/
Intellipaat Data Science Course is a free Data Science tutorial for beginners as well as professionals to learn Data Science and its algorithms in a comprehensive crash course. This complete Data Science course masters you to learn the Data Science principles, tools, algorithms, and methodologies that make it a powerful medium to solve business problems.
➡Below are the topics covered in this Data Science for Beginners Course video:
00:00 - Data Science Course
01:45 - Who is a Data Scientist?
03:03 - Where do Data Scientist come from?
05:34 - What does a Data Scientist do?
09:00 - Prerequisites to become a Data Scientist
13:12 - Data Scientist Roles and Responsibilities
19:17 - Data Scientist Salary
21:05 - Who's hiring Data Scientist?
22:51 - Need of Data Science
24:13 - What is Data science?
25:14 - Understanding Different Techniques
25:21 - Data Visualization
25:39 - Data manipulation
26:05 - Statistical Analysis
26:25 - Machine Learning
28:09 - Life Cycle of Data Science
28:23 - Data Acquisition
28:50 - Data Preprocessing
29:06 - Model building
29:22 - Pattern Evaluation
29:44 - Knowledge Representation
30:03 - Chat-Bots
30:45 - Sentiment Analysis
31:08 - Image - Tagging
31:25 - What is Numpy?
33:21 - How to Create Numpy Array?
39:37 - Numpy Array Initialization
47:00 - Numpy Array Inspection
01:06:50 - Numpy Broadcasting
01:09:40 - Indexing and Slicing in Python
01:15:23 - Array Manipulation in Python
01:36:30 - Advantages of Numpy over List
01:45:56 - Pandas Module
01:46:50 - What is Pandas?
01:48:24 - Where did the name pandas come from?
01:49:55 - Features of Pandas
01:56:20 - Pandas vs Numpy
01:58:24 - How to import Pandas in Python?
01:59:09 - Data Structure in Pandas
02:00:29 - What is series object?
02:03:00 - How to change the Index name?
02:05:16 - What is a DataFrame?
02:06:03 - Features of DataFrame
02:07:27 - How to Create DataFrame?
02:18:40 - Merge, Join and Concatenate
02:56:00 - Quiz
02:58:45 - Basics of Data Visualization
03:05:45 - Plotting the graphs (Matplotlib Demo)
03:13:33 - Data Visualization Libraries
03:15:35 - What is Matplotlib?
03:16:20 - Why choose Matplotlib?
03:21:45 - Types of Plots and Demo on Matplotlib
04:29:55 - Introduction to Machine Learning
04:41:46 - What is Machine Learning?
04:43:30 - How does Machine Learn?
04:45:16 - Machine Learning popular Myth!
04:47:31 - Types of Machine Learning
04:48:05 - Supervised Learning
04:51:26 - Unsupervised Learning
04:59:36 - Reinforcement Learning
05:11:26 - Types of Regression
06:23:45 - Logistic Regression
06:44:27 - Spam Email Classifier
07:55:55 - What is Classification
07:56:47 - Types of Classification
08:08:11 - Visualizing a Decision Tree
08:10:00 - Decision Tree Terminology
08:14:35 - Creating a Decision Tree
08:16:00 - How do we split a Tree?
08:17:55 - Calculating Entropy
08:33:56 - Confusion Matrix
08:36:00 - Decision Tree Example Hands-on
08:45:10 - Understanding Naive Bayes Classifier
09:02:44 - Clustering algorithms
09:03:38 - What is Clustering?
09:04:57 - Examples of Clustering
09:08:20 - Types of Clustering
09:12:40 - K means Clustering
09:12:04 - What us k-means Clustering?
09:15:24 - Business Application of K-Means
09:16:36 - Understanding K-means Algorithm
09:34:27 - Python Project
10:33:50 - Python Interview Questions
11:21:57 - Machine Learning with Python
11:30:27 - Data Science Project
12:11:30 - Quiz
12:11:50 - Data Science Interview Questions
📕 Read complete Data Science tutorial here: https://intellipaat.com/blog/tutorial/data-science-tutorial/
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Intellipaat Edge
1. 24*7 Life time Access & Support
2. Flexible Class Schedule
3. Job Assistance
4. Mentors with +14 yrs
5. Industry Oriented Course ware
6. Life time free Course Upgrade
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