Learn to visualize data using Pyplot and master the Python Programming Language!
Requirements
You need to have the basic knowledge of Python Programming
You need to have device (laptop/desktop)
Description
Do you want to master one of the most popular programming language that is Python?! If you want to learn plotting with PyPlot, this course is for you!
Technology is nowadays the most crucial aspect of everyday life. Mankind is evolving and something like programming is really useful in this era. Average earning of a Python developer is $100,000-120,000 per annum! If you are work hard and smart, you can earn even more!
My first course covers every basics a beginner needs to learn. If you are a beginner, go through that course first, it’s completely FREE! It received tons of positive comments and helped many students to level up their skills! Here’s some of the reviews –
“Every tutorial is straight to the point and clear explanation.”
– Garalapati Bharadwaja
“Explanation is too good and it is understandable, Thank you so much for improving our knowledge”
– T.Swathi Reddy
“it was very nice. As a beginner i learnt very much. Thanking you maam.”
– Kinshuk Ghosh
This course will cover the following topics:
Concept of Data Visualization
Using Pyplot of Matplotlib LIbrary
Creating different types of charts. For example. Pie Charts and Scatter Charts
And more!
What is Python Programming language used for?
Data Science
Building applications
Machine Learning
Web Development
Financial Analytics
WHAT ARE YOU WAITING FOR? ENROLL NOW!!!
Who this course is for:
Beginner Python developers that want to learn Data Visualization
Learn the basic of python coding by understanding the difference between python and other coding languages
Learn about what is python
Understand the difference between python and other coding language
Learn about the uses of python
Understand the syntax of python and other programming languages
Requirements
PC/Laptop, Good internet connection
Description
Python is incredibly easy to learn and use for beginners and newcomers in the industry. The language is the most accessible among all the programming languages available because it has simplified syntax that is not complicated at all and gives more emphasis on natural language. Python is quite popular due to its hundreds of different libraries and frameworks that can be used by developers. The Python language is flexible enough to provide developers with ample time to try new experiments. Python experts will not just stop at the usual things, instead, they will try to build new processes, technologies, or applications. This language is commonly used for developing websites and software, task automation, data analysis, and data visualization. Since it’s relatively easy to learn, Python has been adopted by many non-programmers such as accountants and scientists, for a variety of everyday tasks, like organizing finances.
In the world of programming, Python is known as one of the most popular and fastest-growing programming languages. It can be defined as a high-level, interpreted, object-oriented scripting language, and a general-purpose language. There are various programming languages in the modern IT market space, but only Python has become quite widespread. The syntax in Python, when compared to C++ or Java, allows programmers to do coding in fewer steps. Bigger organizations use it widely because of its multiple programming paradigms. Most developers describe Python as a high-level, interpreted, and general-purpose dynamic programming language that focuses on code readability. Specialists who are working in different areas of disciplines such as Finance, Insurance use Python for improving performance with the help of automation. Automating all the boring and repetitive activities such as viewing, copying, renaming, uploading files to a server, and downloading websites or parsing data can be done with the help of Python.
Who this course is for:
Beginner python developers curious to learn about coding
No experience required, the course start from cero
Description
In last couple of years, machine learning has become a fundamental tool for decision-making in the corporate world, as well as widely used in different areas, ranging from business to the purest science, allowing the computer to perform the most difficult tasks finding patterns and correlations between variables that allow through inferential statistics to make predictions based on data, which allows creating competitive advantages in various fields, taking advantage of the inputs of historical information of the company or business to find patterns and correlations that allow us to identify possible future outcomes. Under the supervised learning paradigm we will apply the concept of linear regression to project, through the equation of the line, the possible result values in relation to predictor variables and dependent variables, in which Machine Learning is able to identify the weights of importance for each one of the participating variables, its relationship with the variable of interest to be predicted and even determine if any system variable can be discarded, in order to create a model with a high level of statistical reliability that contributes to the decision-making process management, finally one of the objectives of the course is to also understand the importance of data visualization to achieve a greater understanding of the results of the model and thus identify how far or close to the actual results selected to evaluate the model we are
Who this course is for:
decision makers, data analist, students, and people interested in learn to use machine learning
