...

Full Bio

Artificial Intelligence And Crowdsourcing

today

Essential Features of DevOps Technology in This Cloud Era

today

Data Science and some applications

today

Some major features of Java

yesterday

Deep Learning-Impact on Image Recognition and Speech Patterns

yesterday

Every Programmer should strive for reading these 5 books

557910 views

Why you should not become a Programmer or not learn Programming Language?

207357 views

See the Salaries if you are willing to get a Job in Programming Languages without a degree?

146811 views

Highest Paid Programming Languages With Highest Market Demand

129582 views

Python Programming Language can easily be acquired easily. How?

118341 views

### Globally Data Science courses are provided with Approved Online Certificates and Online Lectures

- Basic R syntax
- Foundational R programming concepts such as data types, vectors arithmetic, and indexing
- How to perform operations in R including sorting, data wrangling using dplyr, and making plots

- The basic process of data science
- Python and Jupyter notebooks
- An applied understanding of how to manipulate and analyze uncurated datasets
- Basic statistical analysis and machine learning methods
- How to effectively visualize results

- python
- jupyter notebooks
- pandas
- numpy
- matplotlib
- git
- and many other tools.

- How the Microsoft Data Science curriculum works
- How to navigate the curriculum and plan your course schedule
- Basic data exploration and visualization techniques in Microsoft Excel
- Foundational statistics that can be used to analyze data

- After completing this course, you will be familiar with the following concepts and techniques:
- Data analysis and inference
- Data science research design
- Experimental data analysis and modeling

- After completing this course, you will be familiar with the following concepts and techniques:
- Data analysis and inference
- Data science research design
- Experimental data analysis and modeling

- Who owns data
- How we value different aspects of privacy
- How we get informed consent
- What it means to be fair

- Important concepts in probability theory including random variables and independence
- How to perform a Monte Carlo simulation
- The meaning of expected values and standard errors and how to compute them in R
- The importance of the Central Limit Theorem

.