Data science, analytics, and machine learning are growing at an astronomical rate and companies are now looking for professionals who can sift through the goldmine of data and help them drive swift business decisions efficiently. IBM predicts that by 2020, the number of jobs for all U.S. data professionals will increase by 364,000 openings to 2,720,000. We caught up with Eric Taylor, Senior Data Scientist at CircleUp in a Simplilearn Fireside Chat to find out what makes data science such an exciting field and what skills will help professionals gain a strong foothold in this fast-growing domain.

• What is machine learning?

              Machine Learning is defined as the practice of the using algorithms to use data. learn from it and then forecast future trends                    for the topic.

              Machine learning can be defined as the practice of using algorithms to use data, learn from it and then forecast future trends                  for that topic. Traditional machine learning software comprised of statistical analysis and predictive analysis that are used to                    spot patterns and catch hidden insights based on perceived data. A good example of machine learning implementation is                        Facebook. Facebook’s machine learning algorithms gather behavioral information for every user on the social platform. Based                on one’s past behavior, the algorithm predicts interests and recommends articles and notifications on the News Feed.                              Similarly, when Amazon recommends “You might also like” products, or when Netflix recommends a movie based on past                        behaviors, machine learning is at work. 

             What skills Make a Machine Learning Expert -

                       - Expertise in Computer Fundamental

                       - Data Modeling And Evaluation Skills

                       - Knowledge of Probability

• What Is Data Science?

                     Data Science is concept used to tackle big data and include data cleansing, perparation and data analysis.

                     Data science is a concept used to tackle big data and includes data cleansing, preparation, and analysis. A data scientist                       gathers data from multiple sources and applies machine learning, predictive analytics, and sentiment analysis to extract                           critical information from the collected data sets. They understand data from a business point of view and are able to                                 provide accurate predictions and insights that can be used to power critical business decisions.

                    What skills Make a Data Scientist -

                             - knowledge of machine learning

                             - understand multiple analytics functions 

                             - strong knowledge of python, SAS, R

• What is Data Analyst?

                     A data analyst is usually a person who can do basic descrpitive statistics, visualize data and communicate data points for                       conculsions.

                    A data analyst is usually the person who can do basic descriptive statistics, visualize data and communicate data points                          for conclusions. They must have a basic understanding of statistics, a very good sense of databases, the ability to create                        new views, and the perception to visualize the data. Data analytics can be referred to as the basic level of data science. 

                     What skills Make a Data Analyst -

                               - Understand data wrangling

                               - Understand PIG/HIVE

                               - Knowledge of Mathematical statistics

                               - Fluent understanding of R And Python