Skip to main content

Up coming

Pyscript

PyScript PyScript is a framework that allows users to create rich Python applications in the browser using HTML’s interface. PyScript aims to give users a first-class programming language that has consistent styling rules, is more expressive, and is easier to learn. What is PyScript?  Well, here are some of the core components: Python in the browser:  Enable drop-in content, external file hosting (made possible by the  Pyodide project , thank you!), and application hosting without the reliance on server-side configuration Python ecosystem:  Run many popular packages of Python and the scientific stack (such as numpy, pandas, scikit-learn, and more) Python with JavaScript:  Bi-directional communication between Python and Javascript objects and namespaces Environment management: Allow users to define what packages and files to include for the page code to run Visual application development:  Use readily available curated UI components, such as buttons, contain...
Post a Comment

Salaries Earn by Data Scientists


Data Science Careers Shaping The Future

1. Data Scientist

Average Salary: $139,840

Typical Job Requirements: Data scientists analyse large amounts of complex raw and processed information to find patterns that will develop organizations and help steer vital business decisions.

2. Machine Learning Engineer

Average Salary: $114,826

Typical Job Requirements: They create data funnels and work on software solutions. They often require strong statistics and programming skills and software engineering knowledge.

3. Machine Learning Scientist(Research Scientist or Engineer)

Average Salary: $114,121

Typical Job Requirements: They research new data approaches and algorithms that will be applied in adaptive systems.

4. Applications Architect

Average Salary: $113,757

Typical Job Requirements: Application architects concentrate on designing the architecture of applications and building components (e.g. user interface and infrastructure). They monitor the behaviour of applications used within a business and their interaction with one another and the users.

5. Enterprise Architect

Average Salary: $110,663

Typical Job Requirements:  Enterprise architects are conferred with the responsibility of aligning the company’s ideas with the right technology to help actualize these goals and ideas optimally.

6. Data Architect

Average Salary: $108,278

Typical Job Requirements: They create new database systems, develop ways of improving the performance and functionality of existing systems and provide access to database administrators and analysts.

7. Infrastructure Architect(Cloud Infrastructure Architect)

Average Salary: $107,309

Typical Job Requirements: Ensure optimum functionality of all business systems and support the development of new technologies and system requirements.

8. Data Engineer

Average Salary: $102,864

Typical Job Requirements: Data engineers build and maintain data pipelines which make information accessible for data scientists. They also perform batch or real-time processing on gathered and stored data.

9. Business Intelligence(BI) developer

Average Salary: $81,514

Typical Job Requirements: BI developers design and develop methods to enable business users to find the necessary information to make better business decisions.

10. Statistician

Average Salary: $76,884

Typical Job Requirements: Statisticians work to collect, analyse and interpret data to enable them to identify trends and relationships that can be used to inform organizational decision making.

11. Data Analyst

Average Salary: $62, 453

Typical Job Requirements: Data analysts transform and manipulate large data sets to suit the desired analysis of companies. They also aid in the decision-making process.

Read more on I am self taught data Scientist







Comments

Post a Comment

Popular posts from this blog

The Complete Collection Of Data Repositories - Part 1

  The Complete Collection Of Data Repositories – Part 1 Check out the collection of the best data repositories on agriculture, audio, biology, climate, computer vision, economics, education, energy, finance, and government. By  Abid Ali Awan , KDnuggets on April 4, 2022 in  Data Science Image by Author   Editor's note : For the full scope of repositories included in this 2 part series, please see  The Complete Collection Of Data Repositories – Part 2 .   Finding the data that works for your business can take up a lot of time. There are several data-sharing platforms that are offering a wide variety of data datasets, but they can’t provide you with a dataset for a specific field of study. That's why I have created a list of data repositories, which will help you find any dataset without searching on the internet. A single data repository consists of multiple datasets for a particular field of study. The collection of data repositories is divided into 2 parts...
Post a Comment
Read more

Pyscript

PyScript PyScript is a framework that allows users to create rich Python applications in the browser using HTML’s interface. PyScript aims to give users a first-class programming language that has consistent styling rules, is more expressive, and is easier to learn. What is PyScript?  Well, here are some of the core components: Python in the browser:  Enable drop-in content, external file hosting (made possible by the  Pyodide project , thank you!), and application hosting without the reliance on server-side configuration Python ecosystem:  Run many popular packages of Python and the scientific stack (such as numpy, pandas, scikit-learn, and more) Python with JavaScript:  Bi-directional communication between Python and Javascript objects and namespaces Environment management: Allow users to define what packages and files to include for the page code to run Visual application development:  Use readily available curated UI components, such as buttons, contain...
Post a Comment
Read more

Best career advice by experts for data scientists

According to recent industry trends, the data scientist job market has exploded, with data science being one of the most in-demand jobs. Many colleges are also introducing data science as a completely new programme. This shows that data analysis is already a critical role for businesses today. Data underpins every business decision. Financial organisations, in particular, are personalising customer experiences and combating fraud entirely with the help of data scientists’ important insights and assumptions. Last year, LinkedIn discovered that data analysis is one of the top three fastest-growing career categories, alongside software technology and digital content, which is unsurprising given that data science is expected to be one of the fastest-growing fields in the future. Considering this, AIM has compiled the best career advice given by industry leaders in the field.  “Aspiring data scientists have a promising future ahead. With the growing demand for data scientists and the cu...
Post a Comment
Read more