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TORRENT DETAILS
Udemy - Python-Introduction To Data Science And Machine Learning A-Z
TORRENT SUMMARY
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Python basics Learn Python for Data Science Python For Machine learning and Python Tips and tricks
What you'll learn
Uderstand the basics of python programming
learning all the basic mathematical concepts
Understand the basics of Data science and how to perform it using Python
Learn to use different python tools specialisez for data science
Improve your python programming by integrating new concepts
Learning the basics of Machine learning
Perform various analysis with sklearn
Finish the course with a complete understand of all the core concepts of Data science and all the required tools to perform it with python
Requirements
Strong motivation to learn new skills
Basic python programming skills (can be helpful but not mandatory)
Description
Learning how to program in Python is not always easy especially if you want to use it for Data science. Indeed, there are many of different tools that have to be learned to be able to properly use Python for Data science and machine learning and each of those tools is not always easy to learn. But, this course will give all the basics you need no matter for what objective you want to use it so if you
- Are a student and want to improve your programming skills and want to learn new utilities on how to use Python
- Need to learn basics of Data science
- Have to understand basic Data science tools to improve your career
- Simply acquire the skills for personal use
Then you will definitely love this course. Not only you will learn all the tools that are used for Data science but you will also improve your Python knowledge and learn to use those tools to be able to visualize your projects.
The structure of the course
This course is structured in a way that you will be able to to learn each tool separately and practice by programming in python directly with the use of those tools. Indeed, you will at first learn all the mathematics that are associated with Data science. This means that you will have a complete introduction to the majority of important statistical formulas and functions that exist. You will also learn how to set up and use Jupyter as well as Pycharm to write your Python code. After, you are going to learn different Python libraries that exist and how to use them properly. Here you will learn tools such as NumPy or SciPy and many others. Finally, you will have an introduction to machine learning and learn how a machine learning algorithm works. All this in just one course.
Another very interesting thing about this course it contains a lot of practice. Indeed, I build all my course on a concept of learning by practice. In other words, this course contains a lot of practice this way you will be able to be sure that you completely understand each concept by writing the code yourself.
For who is this course designed
This course is designed for beginner that are interested to have a basic understand of what exactly Data science is and be able to perform it with python programming language. Since this is an introduction to Data science, you don't have to be a specialist to understand the course. Of course having some basic prior python knowledge could be good but it's not mandatory to be able to understand this course. Also, if you are a student and wish to learn more about Data science or you simply want to improve your python programming skills by learning new tools you will definitely enjoy this course. Finally, this course is for any body that is interested to learn more about Data science and how to properly use python to be able to analyze data with different tools.
Why should I take this course
If you want to learn all the basics of Data science and Python this course has all you need. Not only you will have a complete introduction to Data science but you will also be able to practice python programming in the same course. Indeed, this course is created to help you learn new skills as well as improving your current programming skills.
There is no risk involved in taking this course
This course comes with a 100% satisfaction guarantee, this means that if your are not happy with what you have learned, you have
30 days
to get a complete refund with no questions asked. Also, if there is any concept that you find complicated or you are just not able to understand, you can directly contact me and it will be my pleasure to support you in your learning.
This means that you can either learn amazing skills that can be very useful in your professional or everyday life or you can simply try the course and if you don't like it for any reason ask for a refund.
You can't lose with this type of offer !!
ENROLL NOW and start learning today :)
Who this course is for
Beginner python users curious about Data Science
Homepage
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We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...
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FILE LIST
Filename
Size
~Get Your Files Here !/1. Introduction/1. Introduction.mp4
101.6 MB
~Get Your Files Here !/1. Introduction/1. Introduction.srt
11.9 KB
~Get Your Files Here !/1. Introduction/2. What is Data Science.mp4
262.9 MB
~Get Your Files Here !/1. Introduction/2. What is Data Science.srt
32.6 KB
~Get Your Files Here !/1. Introduction/3. Installation of Anaconda and Jupyter.mp4
26.6 MB
~Get Your Files Here !/1. Introduction/3. Installation of Anaconda and Jupyter.srt
5.1 KB
~Get Your Files Here !/1. Introduction/4. Introduction to Jupyter Part 1.mp4
30.8 MB
~Get Your Files Here !/1. Introduction/4. Introduction to Jupyter Part 1.srt
10.1 KB
~Get Your Files Here !/1. Introduction/5. Introduction to Jupyter Part 2.mp4
35.2 MB
~Get Your Files Here !/1. Introduction/5. Introduction to Jupyter Part 2.srt
14.8 KB
~Get Your Files Here !/2. Basic Statstics knowledge/1. The Basics of Data.mp4
124.3 MB
~Get Your Files Here !/2. Basic Statstics knowledge/1. The Basics of Data.srt
16.6 KB
~Get Your Files Here !/2. Basic Statstics knowledge/2. The basics of statistics part 1.mp4
110 MB
~Get Your Files Here !/2. Basic Statstics knowledge/2. The basics of statistics part 1.srt
13.6 KB
~Get Your Files Here !/2. Basic Statstics knowledge/3. The basics of statistics part 2.mp4
192.9 MB
~Get Your Files Here !/2. Basic Statstics knowledge/3. The basics of statistics part 2.srt
23.3 KB
~Get Your Files Here !/2. Basic Statstics knowledge/4. The basics of statistics part 3.mp4
66.3 MB
~Get Your Files Here !/2. Basic Statstics knowledge/4. The basics of statistics part 3.srt
8.9 KB
~Get Your Files Here !/2. Basic Statstics knowledge/5. The basics of statistics part 4.mp4
117.2 MB
~Get Your Files Here !/2. Basic Statstics knowledge/5. The basics of statistics part 4.srt
15.3 KB
~Get Your Files Here !/2. Basic Statstics knowledge/6. The basics of statistics part 5.mp4
114.9 MB
~Get Your Files Here !/2. Basic Statstics knowledge/6. The basics of statistics part 5.srt
15.7 KB
~Get Your Files Here !/2. Basic Statstics knowledge/7. The basics of statistics part 6.mp4
172.2 MB
~Get Your Files Here !/2. Basic Statstics knowledge/7. The basics of statistics part 6.srt
21.9 KB
~Get Your Files Here !/3. Python library NumPy/1. Introduction to Numpy.mp4
83.5 MB
~Get Your Files Here !/3. Python library NumPy/1. Introduction to Numpy.srt
9.8 KB
~Get Your Files Here !/3. Python library NumPy/2. Setting up NumPy.mp4
16.6 MB
~Get Your Files Here !/3. Python library NumPy/2. Setting up NumPy.srt
5.1 KB
~Get Your Files Here !/3. Python library NumPy/3. Basic calculations Part 1.mp4
26.4 MB
~Get Your Files Here !/3. Python library NumPy/3. Basic calculations Part 1.srt
9.2 KB
~Get Your Files Here !/3. Python library NumPy/4. Basic calculations Part 2.mp4
41.5 MB
~Get Your Files Here !/3. Python library NumPy/4. Basic calculations Part 2.srt
14.4 KB
~Get Your Files Here !/3. Python library NumPy/5. Basic calculations Part 3.mp4
46.4 MB
~Get Your Files Here !/3. Python library NumPy/5. Basic calculations Part 3.srt
14.9 KB
~Get Your Files Here !/3. Python library NumPy/6. Basic calculations Part 4.mp4
36.1 MB
~Get Your Files Here !/3. Python library NumPy/6. Basic calculations Part 4.srt
12 KB
~Get Your Files Here !/3. Python library NumPy/7. Basic calculations Part 5.mp4
18.7 MB
~Get Your Files Here !/3. Python library NumPy/7. Basic calculations Part 5.srt
6.5 KB
~Get Your Files Here !/4. Python library Pandas/1. The Basics of Pandas.mp4
89 MB
~Get Your Files Here !/4. Python library Pandas/1. The Basics of Pandas.srt
10.3 KB
~Get Your Files Here !/4. Python library Pandas/2. Setting up Pandas.mp4
11.9 MB
~Get Your Files Here !/4. Python library Pandas/2. Setting up Pandas.srt
3.9 KB
~Get Your Files Here !/4. Python library Pandas/3. Pandas operations part 1.mp4
28.9 MB
~Get Your Files Here !/4. Python library Pandas/3. Pandas operations part 1.srt
8.9 KB
~Get Your Files Here !/4. Python library Pandas/4. Pandas operations part 2.mp4
19.9 MB
~Get Your Files Here !/4. Python library Pandas/4. Pandas operations part 2.srt
5.5 KB
~Get Your Files Here !/4. Python library Pandas/5. Pandas operations part 3.mp4
44.8 MB
~Get Your Files Here !/4. Python library Pandas/5. Pandas operations part 3.srt
13.4 KB
~Get Your Files Here !/4. Python library Pandas/6. Pandas operations part 4.mp4
38.1 MB
~Get Your Files Here !/4. Python library Pandas/6. Pandas operations part 4.srt
9.6 KB
~Get Your Files Here !/4. Python library Pandas/7. Pandas operations part 5.mp4
34.4 MB
~Get Your Files Here !/4. Python library Pandas/7. Pandas operations part 5.srt
8.8 KB
~Get Your Files Here !/5. Python library Scipy/1. The Basics of SciPy.mp4
62.8 MB
~Get Your Files Here !/5. Python library Scipy/1. The Basics of SciPy.srt
8.2 KB
~Get Your Files Here !/5. Python library Scipy/2. SciPy operations part 1.mp4
35.3 MB
~Get Your Files Here !/5. Python library Scipy/2. SciPy operations part 1.srt
12.1 KB
~Get Your Files Here !/5. Python library Scipy/3. SciPy operations part 2.mp4
28.5 MB
~Get Your Files Here !/5. Python library Scipy/3. SciPy operations part 2.srt
11.9 KB
~Get Your Files Here !/5. Python library Scipy/4. SciPy operations part 3.mp4
27.8 MB
~Get Your Files Here !/5. Python library Scipy/4. SciPy operations part 3.srt
11.4 KB
~Get Your Files Here !/5. Python library Scipy/5. SciPy operations part 4.mp4
19.9 MB
~Get Your Files Here !/5. Python library Scipy/5. SciPy operations part 4.srt
8.6 KB
~Get Your Files Here !/5. Python library Scipy/6. SciPy operations part 5.mp4
30.3 MB
~Get Your Files Here !/5. Python library Scipy/6. SciPy operations part 5.srt
12.2 KB
~Get Your Files Here !/6. Python library Matplotlib/1. Introduction to Matplotlib.mp4
70.4 MB
~Get Your Files Here !/6. Python library Matplotlib/1. Introduction to Matplotlib.srt
9.4 KB
~Get Your Files Here !/6. Python library Matplotlib/2. Setting up MatPlotlib.mp4
7.6 MB
~Get Your Files Here !/6. Python library Matplotlib/2. Setting up MatPlotlib.srt
2.1 KB
~Get Your Files Here !/6. Python library Matplotlib/3. Basics of matplotlib part 1.mp4
61.6 MB
~Get Your Files Here !/6. Python library Matplotlib/3. Basics of matplotlib part 1.srt
18.6 KB
~Get Your Files Here !/6. Python library Matplotlib/4. Basics of matplotlib part 2.mp4
33.5 MB
~Get Your Files Here !/6. Python library Matplotlib/4. Basics of matplotlib part 2.srt
10 KB
~Get Your Files Here !/6. Python library Matplotlib/5. Basics of matplotlib part 3.mp4
41.5 MB
~Get Your Files Here !/6. Python library Matplotlib/5. Basics of matplotlib part 3.srt
13.7 KB
~Get Your Files Here !/6. Python library Matplotlib/6. Basics of matplotlib part 4.mp4
31 MB
~Get Your Files Here !/6. Python library Matplotlib/6. Basics of matplotlib part 4.srt
9.6 KB
~Get Your Files Here !/6. Python library Matplotlib/7. Basics of matplotlib part 5.mp4
24.9 MB
~Get Your Files Here !/6. Python library Matplotlib/7. Basics of matplotlib part 5.srt
7 KB
~Get Your Files Here !/7. Python library Seaborn/1. Introduction to Seaborn.mp4
66.6 MB
~Get Your Files Here !/7. Python library Seaborn/1. Introduction to Seaborn.srt
8.7 KB
~Get Your Files Here !/7. Python library Seaborn/2. Setting up seaborn.mp4
11.4 MB
~Get Your Files Here !/7. Python library Seaborn/2. Setting up seaborn.srt
2.6 KB
~Get Your Files Here !/7. Python library Seaborn/3. Seaborn operations part 1.mp4
53.7 MB
~Get Your Files Here !/7. Python library Seaborn/3. Seaborn operations part 1.srt
14.2 KB
~Get Your Files Here !/7. Python library Seaborn/4. Seaborn operations part 2.mp4
32.4 MB
~Get Your Files Here !/7. Python library Seaborn/4. Seaborn operations part 2.srt
8.5 KB
~Get Your Files Here !/7. Python library Seaborn/5. Seaborn operations part 3.mp4
43.6 MB
~Get Your Files Here !/7. Python library Seaborn/5. Seaborn operations part 3.srt
13.2 KB
~Get Your Files Here !/7. Python library Seaborn/6. Seaborn operations part 4.mp4
35.4 MB
~Get Your Files Here !/7. Python library Seaborn/6. Seaborn operations part 4.srt
10.2 KB
~Get Your Files Here !/8. Machine Learning/1. Introduction to machine learning.mp4
132 MB
~Get Your Files Here !/8. Machine Learning/1. Introduction to machine learning.srt
16.9 KB
~Get Your Files Here !/8. Machine Learning/2. Presentation of Different algorithms.mp4
243.2 MB
~Get Your Files Here !/8. Machine Learning/2. Presentation of Different algorithms.srt
28.8 KB
~Get Your Files Here !/8. Machine Learning/3. Machine learning algorithms part 1.mp4
34.2 MB
~Get Your Files Here !/8. Machine Learning/3. Machine learning algorithms part 1.srt
11.9 KB
~Get Your Files Here !/8. Machine Learning/4. Machine learning algorithms part 2.mp4
162.5 MB
~Get Your Files Here !/8. Machine Learning/4. Machine learning algorithms part 2.srt
