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I will assist with scientific research, big data analysis, statistics, finance, coding


I will assist with scientific research, big data analysis, statistics, finance, coding

WebFor only $50, Fisom_phds will assist with scientific research, big data analysis, statistics, finance, coding. | I am a Mathematician with Ph.D. in Finance, with 15 years 

Get  I will assist with scientific research, big data analysis, statistics, finance, coding

Big data and data science are related fields that share many similarities. Big data refers to the huge volume of data that is generated every day by various sources such as social media, sensors, and other devices. 

Data science is an approach to process that huge volume of data. 

It is a field of study that encompasses all of the techniques and tools focusing on data analysis. Strategies for business decisions, data dissemination with the use of mathematics, statistics, and algorithms are all part of data science12.

In summary, big data is the raw material that data science uses to extract insights and knowledge from it3.

Big data is generated every day by various sources such as social media, sensors, and other devices. It is used in many industries such as marketing, transportation, government and public administration, business, healthcare and more1.

Here are some examples of big data applications that affect people every day:

  • Marketing: forecast customer behavior and product strategies.
  • Transportation: assist in GPS navigation, traffic and weather alerts.
  • Government and public administration: track tax, defense and public health data.
  • Business: streamline management operations and optimize costs.
  • Healthcare: access medical records and accelerate treatment development2.

Data science is an approach to process the huge volume of data generated every day by various sources such as social media, sensors, and other devices. It is a field of study that encompasses all of the techniques and tools focusing on data analysis. Strategies for business decisions, data dissemination with the use of mathematics, statistics, and algorithms are all part of data science1.

Here are some examples of data science applications:
  • Healthcare: Data science can identify and predict disease, and personalize healthcare recommendations.
  • Transportation: Data science can optimize shipping routes in real-time.
  • Sports: Data science can accurately evaluate athletes’ performance.
  • Government: Data science can help governments make better decisions.
  • E-commerce: Data science has impacted the e-commerce sector in many ways2.
Data science is a field that encompasses all of the techniques and tools focusing on data analysis. It includes machine learning as one of its subfields. 

Machine learning is a subset of artificial intelligence that involves the development of algorithms that can learn from and make predictions on data.

In other words, machine learning is a part of data science that involves the use of algorithms to identify patterns in data and make predictions based on those patterns. 

Data science, on the other hand, is a broader field that includes machine learning as well as other techniques for analyzing and interpreting data.

Basic : $50

Standard : $75

Premium : $200

- Import/Export Data - Simple Visualization - Descriptive Statistics - Simple Hypothesis testing