Data Science Techniques, Tools and Predictions
Mujthaba G.M1, Abdalla Al Ameen2, Manjur Kolhar3, Mohammed Rahmath4
1Mr.Mujthaba Gulam Muqeeth* Computer Science Department, College of Arts and Science, Prince Sattam Bin Abdul-Aziz University,Wadi Al Dawassir, Riyadh, K.S.A.
2Dr.Manjur Kolhar Computer Science Department, College of Arts and Science, Prince Sattam Bin Abdul-Aziz University, Wadi Al Dawassir, Riyadh, K.S.A.
3Dr.Aballa AlAmeen, Computer Science Department, College of Arts and Science, Prince Sattam Bin Abdul-Aziz University, Wadi Al Dawassir, Riyadh, K.S.A.
4Dr.Mohammed Rahmath Computer Science Department, College of Arts and Science, Prince Sattam Bin Abdul-Aziz University, Wadi Al Dawassir, Riyadh, K.S.A.
Manuscript received on February 28, 2020. | Revised Manuscript received on March 22, 2020. | Manuscript published on March 30, 2020. | PP: 5661-5668 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9887038620/2020©BEIESP | DOI: 10.35940/ijrte.F9887.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Almighty created human being with numerous wants and needs which makes them associated with their own data, choices and preferences. To grow and develop any business or organizations it is very obligatory to know their clients requests or customer needs based on their data. The evolving role of data makes it very vital element in any organization and carried with convinced operations. In this paper we are going to present a study of Data Science and its relevance with Artificial Intelligence, machine learning and deep learning. The incorporation of these intellectual sciences in data science is useful for perming numerous operations in our research we tried to demonstrate the data science operations like data cleaning, data processing, data modeling, data visualization and data presentations techniques. To grow any business it is mandatory to know their customer needs and satisfy their future expectations by smart decision makings. The intellectual algorithms or data operations in the data science make the data to be more effective in decision making and decision polices. We also focus on how data science incorporates mathematical & statistical methods, logical reasoning with applications of Artificial Intelligence techniques. We also focus on various data operations tools which exists in the market like python, SAS, R and many others. At last we focusses on how data science field going to meet the future expectations of many businesses. This research paper may become as successful reference for the people to carry out their research and meet the expectations of data science field with business growing decisions.
Keywords: Artificial Intelligence (A.I.), Machine Learning (M.L.),Internet of Things (I.OT’s) Data Science, Data Analysis, Data Processing, Data Presentations and Data Science Careers.
Scope of the Article: Artificial Intelligence and machine learning.