Introduction to Data Science (Self Paced)
The course is to help you get introduced to the gigantic opportunities’ world. The course enables you to learn how to obtain, explore, model, and interpret data using Data Science.
The course covers the necessary tools and concepts used in the industry, including machine learning, statistical inference and much more. The course introduces to the entire process for data science projects and the different roles and skills that are needed. You get to learn the basics of obtaining data through a variety of sources, including web APIs and page scraping. In addition, you get to know how to use tools like R, Python, the command line, and spreadsheets to explore, analyze and evaluate data.
Who Should Take this Course?
- Anyone interested in Data Science
- Anyone interested in a Data Scientist career
- Managers and Mid level professionals who want to have a basic Data Science Understanding
- Software developers or programmers
|Data Science Overview|
|Careers in Data Science|
|Roles in Data Science|
|Big Data : Programming and Statistics|
|Ethics in Data Science|
|Data Sourcing: APIs and Exploration|
|Algebra : System of Equations|
|Calculus and Big O|
|Applied Statistics : Hypothesis and Validations|
|Introduction to Machine Learning|
|Decision Trees and Ensembles|
|k-nearest neighbors (kNN) and Naive Bayes classifiers|
|Artificial Neural Networks|
|Developing Interpretation and Actionable Insights|
|Communicating the Data Evaluation|
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