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Articles Home » Data Science » Become a Data Scientist

Become a Data Scientist

Data Science Foundations: Fundamentals with Barton Poulson

3h 6m • COURSE
Introduction to Data Science provides a comprehensive overview of modern data science: the practice of obtaining, exploring, modeling, and interpreting data. While most only think of the "big subject," big data, there are many more fields and concepts to explore. Here Barton Poulson explores disciplines such as programming, statistics, mathematics, machine learning, data analysis, visualization, and (yes) big data. He explains why data scientists are now in such demand, and the skills required to succeed in different jobs. He shows how to obtain data from legitimate open-source repositories via web APIs and page scraping, and introduces specific technologies (R, Python, and SQL) and techniques (support vector machines and random forests) for analysis. By the end of the course, you should better understand data science's role in making meaningful insights from the complex and large sets of data all around us
Topics include:
  • Assess the skills required for a career in data science.
  • Evaluate different sources of data, including metrics and APIs.
  • Explore data through graphs and statistics.
  • Discover how data scientists use programming languages such as R, Python, and SQL.
  • Assess the role of mathematics, such as algebra, in data science.
  • Assess the role of applied statistics, such as confidence intervals, in data science.
  • Assess the role of machine learning, such as artificial neural networks, in data science.
  • Define the components of effective data visualization.

· Posted by Superadmin on January 22 2019 · 0 Comments · 885 Reads · Print
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