Data ScienceApril 26, 2017 2021-03-02 13:15
Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. Data science practitioners apply machine learning algorithms to numbers, text, images, video, audio, and more to produce artificial intelligence (AI) systems to perform tasks that ordinarily require human intelligence.
More and more companies are coming to realize the importance of data science, AI, and machine learning. Regardless of industry or size, organizations that wish to remain competitive in the age of big data need to efficiently develop and implement data science capabilities or risk being left behind.
Using tools including Python, SQL, and even Excel Learning the Skill of Data Science puts you at a competitive edge in the World of Big Data, Machine Learning and Artificial Intelligence.
Data science is used in Virtually Every field of Work/Business, even Governments use it to analyze their activities and adjust as necessary
The average data scientist salary is $100,560, according to the U.S. Bureau of Labor Statistics. The driving factor behind high data science salaries is that organizations are realizing the power of big data and want to use it to drive smart business decisions. And because the supply of data professionals hasn’t yet caught up with demand, starting salaries for these positions remain high, especially for those who have an advanced degree in data science or a related field.
At e86 we would teach you not just how to use the skills, we will their Importance and applications in various fields.
- Master the foundations of data science, statistics, and machine learning.
- Analyze big data and make data-driven predictions through probabilistic modelling and statistical inference.
- Python for data analysis.
- R for data analysis.
- Regression and Anova.
- Machine Learning.