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Data Scientist Course

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Data Scientist Course

Data Scientist Course

 

Data Science, Msc, Course

 

However, there may be situations in which it is desirable or necessary for the University to make changes in course provision, either before or after registration. The safety of students, staff and visitors is paramount and major changes to delivery or services may have to be made in circumstances of a pandemic (including Covid-19), epidemic or local health emergency. In addition, in certain circumstances, for example due to visa difficulties or because the health needs of students cannot be met, it may be necessary to make adjustments to course requirements for international study.

 

Data Science aims to extract valuable insights from a massive data collection. Experience working with analytical tools such as Hadoop, R, SAS, and many more will serve you in efficiently performing the statistical analytics of the given data. After performing all the above mentioned operations, the data scientist now possesses an understanding of the efficiency of the chosen model and he gets ready to deploy the results acquired. Data collection is considered as another major responsibility of a data scientist. This is the process of sorting out the historical data that is required to perform the desired operations. As Data Science is high in demand, there is a lack of data scientists.

 

More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth. Over 20+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions and that will help you stay on track with your up skilling objective. After you successfully pass all the assignments, exams, or projects, your course will be completed.

 

Exploration of Tableau interface and the application of multiple tools that are offered by Tableau. Preparation of significant data in the tableau and communicating the relationship between Data Visualization and Analytics. Similarities between the exploratory and explanatory analysis in Data Visualization is discussed here. Assessment of Data and selecting appropriate visual representation for the data. Here the students will be taught about the major ideas and tools in the Data Scientist toolbox. Introduction to the conceptual turning of data to reasonable knowledge.

 

It includes two components, including the know-how of how to turn data into actionable knowledge. Learn to extract actionable insights from complex data to inform your business decisions by taking an online course in Data Science. Master the concepts and applications of business analytics, data visualization, gamification, machine learning and artificial intelligence to compete in this data driven economy by choosing a program from a world-class university. Cloud computing is the practice of using an internet hosted network of remote servers instead of local computers or servers for storing, managing, and processing data.

 

The dataset consists of feature vectors belonging to 12,330 online sessions. The purpose of this project is to identify user behaviour patterns to effectively understand features that influence the sales. Under the project study, you will try to utilize the dataset containing information about a set of engineering graduates and their employment outcomes to analyse the following few use cases – 1. Given a new student profile, predict his/her annual salary from historic data. Is it just one’s skills or are there other factors that influence the return in the labor market.

 

Introduction to Time Series Time-Series Analysis comprises methods for analysing data on time-series to extract meaningful statistics and other relevant information. Time-Series forecasting is used to predict future values based on previously observed values. Logistic Regression Logistic Regression is one of the most popular ML algorithms, like Linear Regression. It is a simple classification algorithm to predict the categorical dependent variables with the assistance of independent variables. This module will drive you through all the concepts of Logistic Regression used in Machine Learning.



Business Name: ExcelR Solutions

Address: Cyber Towers, PHASE-2, 5th Floor, Quadrant-2, HITEC City, Hyderabad, Telangana 500081

Phone: 09632156744

Email: [email protected]

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