"PYTHON FOR THE BEGINNERS"
7 video-sessions / senior teacher's support
starts September 26 / course recordings / price - $1199
starts September 26 / course recordings / price - $1199
By clicking the button, I consent to the processing of personal data and agree to the privacy policy and the offer agreement.
"PYTHON FOR THE BEGINNERS"
7 video-sessions / senior teacher's support
starts September 26 / course recordings / price - $1199
By clicking the button, I consent to the processing of personal data and agree to the privacy policy and the offer agreement.
Why Python?
- Python is one of the easiest languages to learnPython is a highly productive language with simple syntax.
- Python is used by the world's largest companies: Google, Facebook, Instagram, DropboxFor example, some parts of the Youtube and Youtube API are written in Python.
- Python is a universal environment for scientific calculationsPython is actively used in NumPy, SciPy and MatPlotLib as a universal environment for scientific calculations and a replacement for common commercial Matlab, IDL and other packages.
For example, the Astropy library is a popular tool for astronomical calculations. - The world's leading neural network libraries have an API written in PythonTensorflow, PyTorch, Keras are neural network libraries with Python shells. The libraries are aimed at operative work with deep learning networks.
- Starting salary of a Python data analyst is $45,000-85,000According to statistics, the starting salary of a Python data analyst (Junior Data Scientist) is $45,000-85,000 per year.
- Python is one of the 5 most popular programming languages.TIOBE programming community index is an indicator of the popularity of programming languages. According to recent data, Python is on the 3rd place in the top 5 most popular programming languages in 2020.
Python is a highly effective programming language focused on improving developer's productivity and code readability.
The syntax of the Python core is minimalistic. At the same time, a standard library includes a large number of useful functions.
The syntax of the Python core is minimalistic. At the same time, a standard library includes a large number of useful functions.
Educational Format
- 7 recorded sessionsYou will have 7 recorded webinars available for viewing at any time. Once a week, new videos will be released.
- Closed training platformWithin 24 hours of payment, you will get access to the TalentLMS closed training platform with class notes and course materials.
- Mentor's assistanceYou will have a chat room, where you can ask your mentor any questions you may have.
Course teacher and senior teacher
Nick
✓ Graduated with a BSc from Toronto's York University, Faculty of Science, Dept. of Physics in 2019
✓ Studied anthropogenic climate change alongside tenured professors
✓ Experience working with MATLAB, Python 3, Numpy, Tensorflow, Keras, Matplotlib
✓ Developed AI to solve problems related to image classification, object detection, and logistic regression.
✓ Studied anthropogenic climate change alongside tenured professors
✓ Experience working with MATLAB, Python 3, Numpy, Tensorflow, Keras, Matplotlib
✓ Developed AI to solve problems related to image classification, object detection, and logistic regression.
Training Program
You can see a brief training program description below
Click on the class title to see the details
Click on the class title to see the details
7 Python sessions
Description:
Introduction to the Python programming language, learning the logic of code writing in Python. Code samples. Acquaintance of participants with the main data types which will be encountered as they learn.
Introduction to the Python programming language, learning the logic of code writing in Python. Code samples. Acquaintance of participants with the main data types which will be encountered as they learn.
Description:
Acquaintance with functions, methods, and data structures, which can be used to write more complex programs in the future.
Acquaintance with functions, methods, and data structures, which can be used to write more complex programs in the future.
Description:
Introduction to the Numpy library: what it is and how to work with it. Numpy is a large-scale library for working with arrays, matrices, i.e. with some data volumes, manipulating with these data. In most cases it is used in conjunction with other libraries that provide tools for working with linear algebra. Knowledge of this library is a key point in understanding, and writing programs, working with code in neural networks. The concept of an array, the main Python tools for working with this array, is studied.
Introduction to the Numpy library: what it is and how to work with it. Numpy is a large-scale library for working with arrays, matrices, i.e. with some data volumes, manipulating with these data. In most cases it is used in conjunction with other libraries that provide tools for working with linear algebra. Knowledge of this library is a key point in understanding, and writing programs, working with code in neural networks. The concept of an array, the main Python tools for working with this array, is studied.
Description:
If Numpy is manipulating arrays, in Pandas these big blocks are added to big DataFrame and work with this base is done. The lesson is aimed at showing how to work with large datasets, how to group them, how to handle these datasets, extract information. Fast Python commands and methods to extract the category of data that are necessary for further work as quickly as possible.
If Numpy is manipulating arrays, in Pandas these big blocks are added to big DataFrame and work with this base is done. The lesson is aimed at showing how to work with large datasets, how to group them, how to handle these datasets, extract information. Fast Python commands and methods to extract the category of data that are necessary for further work as quickly as possible.
Description:
If Numpy is manipulating arrays, in Pandas these big blocks are added to big DataFrame and work with this base is done. The lesson is aimed at showing how to work with large datasets, how to group them, how to handle these datasets, extract information. Fast Python commands and methods to extract the category of data that is necessary for further work as quickly as possible.
If Numpy is manipulating arrays, in Pandas these big blocks are added to big DataFrame and work with this base is done. The lesson is aimed at showing how to work with large datasets, how to group them, how to handle these datasets, extract information. Fast Python commands and methods to extract the category of data that is necessary for further work as quickly as possible.
Description:
These libraries are designed for visualization. One of the most important tasks for a developer is not only to calculate his network and find the right solution. But also to be able to visualize. This lesson is aimed at getting acquainted with data visualization in depth by different ways of displaying. In the form of diagrams, charts, drawings, which will have a high informative value.
These libraries are designed for visualization. One of the most important tasks for a developer is not only to calculate his network and find the right solution. But also to be able to visualize. This lesson is aimed at getting acquainted with data visualization in depth by different ways of displaying. In the form of diagrams, charts, drawings, which will have a high informative value.
Description:
Before that you will learn the main points of Python: syntax - words with which you can build sentences, options for storing the data structure - with the Numpy library, with Pandas, which will be later manipulated with databases, with visualization methods. There is a need to optimize the workspace. In this class, you will learn what a function is, how a function is written in Python, how it is arranged, when you need to put it, how it can help in optimization. Modules. Loading of modules.
Before that you will learn the main points of Python: syntax - words with which you can build sentences, options for storing the data structure - with the Numpy library, with Pandas, which will be later manipulated with databases, with visualization methods. There is a need to optimize the workspace. In this class, you will learn what a function is, how a function is written in Python, how it is arranged, when you need to put it, how it can help in optimization. Modules. Loading of modules.
All training is done remotely
We have participants from all over the world. You will need only a computer with Internet access. There is no time restriction to view lessons and perform tasks, you can study when it is convenient for you.
Our manager will gladly answer your questions
- ElijahA customer service managerEmail: info@neural-university.com
Phone / WhatsApp: +1 (646) 980-6744
"PYTHON FOR THE BEGINNERS"
7 video-sessions / senior teacher's support
starts September 26 / course recordings / price - $1199
starts September 26 / course recordings / price - $1199
By clicking the button, I consent to the processing of personal data and agree to the privacy policy and the offer agreement.
"PYTHON FOR THE BEGINNERS"
7 video-sessions / senior teacher's support
starts September 26 / course recordings / price - $1199
starts September 26 / course recordings / price - $1199
By clicking the button, I consent to the processing of personal data and agree to the privacy policy and the offer agreement.