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15 Discussions in Design Education
 
shilpa dhussa commented: The amalgamation of attributes and qualities which has a contribution in the persons image or characters is known as Personality. Personality development is the all-round development of the person. The development of the set of traits which contributes to the overall personality of a person is known as personality development. It cant be developed in one day; its a long learning process where multiple characteristics are needed to be worked upon while developing the personalities of person. In order to survive in todays modern world, the personality has a very important role in ones life to survive in the competitive world. For an attractive personality, one must have positive thoughts and positive actions, as the way we think has a great impact on how we act. Before you change your thinking, you have to change what goes into your mind. The positive thoughts boost up the confidence, and enhance the personality of person. One must be optimistic in his life to have an influential and smart personality. Confidence plays a very important role on the personality development. The important skill in life is having a good personality. The hallmark of any strong personality is the self- confidence and self- respect. For a descent and attractive personality, one must be smiling and cheerful and should look about good in others instead of looking bad in others.The good personality people are generous and behave in practical manner and they dont hurt others for their own amusement. https:www.sevenmentor.combest-personality-development-and-soft-skills-training-courses-in-pune.php
 
saniya838 commented: The field of data science has grown rapidly in recent years, and it offers a wide range of career paths. Data Analyst: A data analyst collects and analyzes data to identify trends, patterns, and insights that can be used to improve business operations. They use statistical techniques and data visualization tools to present their findings clearly and understandably. Data Scientist: A data scientist is responsible for designing and implementing models that can be used to predict future outcomes. They use machine learning algorithms and statistical techniques to build predictive models that can be used to make decisions. Machine Learning Engineer: A machine learning engineer is responsible for designing and implementing machine learning systems. They work closely with data scientists to build and deploy machine learning models that can be used in real-world applications. Business Intelligence Analyst: A business intelligence analyst is responsible for analyzing data to help bus businesses better decisions. They use data visualization tools to present their findings clearly and understandably. They design and implement data storage solutions and data pipelines that allow data scientists to work with large datasets. Big Data Engineer: A big data engineer is responsible for building and maintaining the infrastructure that supports big data projects. They design and implement solutions that allow businesses to store, process, and analyze large volumes of data. Data Architect: A data architect is responsible for designing the data architecture for a company. They work closely with data engineers to design and implement data storage solutions that can support data science projects. Data Visualization Designer: A data visualization designer is responsible for creating visualizations that help businesses understand their data. They use tools like Tableau and Power BI to create interactive dashboards that allow users to explore data in real time. Visit: https:www.sevenmentor.comdata-science-course-in-pune.php
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