Python for Data Science | Data Science with Python | Python for Data Analysis | 11 Hours Full Course

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Hey Folks! Watch this 10-hour tutorial on Python For Data Science! Python is one of the most famous programming languages globally and is favored in data science because of its simple and flexible syntax, its ability to work with multiple paradigms, and the ease with which it combines with other software components. These factors have made Python the most popular programming with data science, which is why so many people want to learn it today. Great Learning brings you Python for data science full course to help you understand everything you need to know about this topic and get started on the journey to learn about it well.

Data science with python starts focuses on an introduction to Python and Python IDEs, followed by looking at data structures in Python. Then we look at object-oriented programming.

Following this, in python for data science tutorial will get to know more about Python libraries:
✔ NumPy
✔ Pandas
✔ Matplotlib
✔ Seaborn
✔ Linear and Logistic regression
✔ Time-series
This video teaches Python For Data Science and its key functions and concepts with a variety of demonstrations & examples to help you get started on the right foot.

🏁 Topics Covered:
Introduction - 0:00
1. Basics of Python - 5:55
2. Python Data Structures - 21:11
3. Flow Control Statements in Python - 33:18
4. Object-Oriented Programming in Python - 55:20
5. Numerical Computing with Numpy - 1:10:03
6. Data Manipulation with Pandas - 1:28:48
7. Data Visualization with Matplotlib - 1:51:45
8. Linear Regression Algorithm - 2:15:28
9. Logistic Regression Algorithm - 5:31:45
10. Naive Bayes Algorithm - 6:55:05
11. K-means clustering - 8:29:25
12. Hierarchical Clustering - 10:34:55

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🔹 Topics Covered:
Introduction - 0:00
1. Basics of Python - 5:55
2. Python Data Structures - 21:11
3. Flow Control Statements in Python - 33:18
4. Object-Oriented Programming in Python - 55:20
5. Numerical Computing with Numpy - 1:10:03
6. Data Manipulation with Pandas - 1:28:48
7. Data Visualization with Matplotlib - 1:51:45
8. Linear Regression Algorithm - 2:15:28
9. Logistic Regression Algorithm - 5:31:45
10. Naive Bayes Algorithm - 6:55:05
11. K-means clustering - 8:29:25
12. Hierarchical Clustering - 10:34:55

greatlearning
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30:55 in example s1 = {1, "a", True} would create set of {1, "a"} because 1==True :D

sawomir
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The way you are trying to answer all the questions is amazing, have a great going, God bless you.

n.subramanian
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We have also uploaded a full course video on Hadoop Tutorial, here is the link:

greatlearning
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Even as an Analyst who has experience in working with python I find it is important to reinforce concepts sometimes. This helps !

chatshd
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I am a beginner and I was looking for exactly this kind of tutorial. Thank you so much.

md.yasinarafat
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Guys, what else do you want to learn from us? Please do comment below

greatlearning
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Best youtube video on Python for DS IMO, for persons with programming background. Not too much theory, straight to the point . That's how you start learning a programming language. Superb!!

borngenius
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My Boss: We need a data scientist;
Me: after one day, here it is.

buddinglearner
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This is such a great tutorial, even people like myself can understand and comprehend it. KUDOS, a great job! Thank you so much!

dcheema
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Very thoughtfully designed from step zero upward assisting a beginner to keep up his interest to a maturity level in software programming in general and Python in particular besides much more. Thank you.

muhammadamjadfarooqmuhamma
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Also to access the datasets, projects, assessments, and codes, register on Great Learning Academy.
You can also enroll for any of our 80+ courses offering 1000+ hours of content for free.

greatlearning
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NumPy 1:09:52
Classroom Linear Regression 2:15:25

ankitkraken
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This is hands down my favorite Python tutorial video.

gladzalendo
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Best wishes from everyone of us for you....really doing a great job! Love your explanation ❤️

varshilmehta
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I have seen many videos on linear regression but this video gives clear understanding. Great job 👍

abidali
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Even after replacing num of cylinders with numbers, the field still appears. Also, "cylinder" field is an object, which cannot be modified

harshkabra
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Hey, thanks to the team of great learning. I would definitely love to join your courses in future.

abhrarajchanda
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Thank you for sharing your knowledge, Greetings from Mexico.

julioavila
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Great Explanation for Regression.Thanks a lot sir . Hope we will meet soon for further queries discussions.

rajasekharreddy
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