Data Science is a multidisciplinary field that uses a combination of scientific methods, data algorithms, machine learning, statistics and business acumen to analyze raw data (structured/unstructured) to find out hidden patterns and deeper insights that could lead to broad business developments.
Tagged as ‘The Most Popular Job in 2021’ or 21st century, a career in data science has unfolded a lot of achievements and accomplishments over the past couple of years.
The course aims for the below –
The course is designed to meet the current industry demands for data science professionals, so there can be many specialized topics. Some common subjects included are –
Basics of Statistics | Big data with Data Warehousing and Data Mining |
Introduction to Data Science | Advanced statistics |
Data Structures and Algorithms | Python Programming |
Introduction to R Programming | Ethical and Legal Issues in Data Science |
NoSQL Databases | Emerging Trends in Data Science |
Scientific Computing | Business Acumen & Artificial Intelligence |
Data Visualization | Predictive Analysis & Segmentation by Clustering |
Data Wrangling | Matrix Computations |
Machine Learning with R and Python | Project |
The field of data science and advanced analytics has evolved to greater extent that it has become an inevitable portion of our lives. It has been used for a lot of applications in the banking, banking, healthcare, transport, e-commerce and many more fields, where data science has proved to be a game changer on many levels. For instance, data science has played a pivotal role in the advent of self-driving cars, which is next significant step to intelligent transportation systems.
It can be confidently stated that career options down the data science lane is always going to be incessant, as data science is the driving fuel for all the industries for producing the best outcomes.
Some exciting job roles offered are –
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